<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.3 20210610//EN" "JATS-journalpublishing1-3-mathml3.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" article-type="research-article" dtd-version="1.3" xml:lang="EN">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Behav. Neurosci.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Behavioral Neuroscience</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Behav. Neurosci.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1662-5153</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fnbeh.2026.1758605</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Female rats adopt a safety-first strategy in a high-conflict platform mediated avoidance task</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Reimer</surname>
<given-names>Adriano E.</given-names>
</name>
<xref ref-type="aff" rid="aff1"/>
<xref ref-type="author-notes" rid="fn0001"><sup>&#x2020;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1742857"/>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; original draft" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing &#x2013; original draft</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &#x0026; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &#x0026; editing</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Formal analysis" vocab-term-identifier="https://credit.niso.org/contributor-roles/formal-analysis/">Formal analysis</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="software" vocab-term-identifier="https://credit.niso.org/contributor-roles/software/">Software</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="validation" vocab-term-identifier="https://credit.niso.org/contributor-roles/validation/">Validation</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Data curation" vocab-term-identifier="https://credit.niso.org/contributor-roles/data-curation/">Data curation</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="methodology" vocab-term-identifier="https://credit.niso.org/contributor-roles/methodology/">Methodology</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="visualization" vocab-term-identifier="https://credit.niso.org/contributor-roles/visualization/">Visualization</role>
</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Li</surname>
<given-names>Christina J.</given-names>
</name>
<xref ref-type="aff" rid="aff1"/>
<xref ref-type="author-notes" rid="fn0001"><sup>&#x2020;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/3102687"/>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="visualization" vocab-term-identifier="https://credit.niso.org/contributor-roles/visualization/">Visualization</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="validation" vocab-term-identifier="https://credit.niso.org/contributor-roles/validation/">Validation</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Formal analysis" vocab-term-identifier="https://credit.niso.org/contributor-roles/formal-analysis/">Formal analysis</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &#x0026; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &#x0026; editing</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="investigation" vocab-term-identifier="https://credit.niso.org/contributor-roles/investigation/">Investigation</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="methodology" vocab-term-identifier="https://credit.niso.org/contributor-roles/methodology/">Methodology</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Data curation" vocab-term-identifier="https://credit.niso.org/contributor-roles/data-curation/">Data curation</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; original draft" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing &#x2013; original draft</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="supervision" vocab-term-identifier="https://credit.niso.org/contributor-roles/supervision/">Supervision</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="software" vocab-term-identifier="https://credit.niso.org/contributor-roles/software/">Software</role>
</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Hu</surname>
<given-names>Steven M.</given-names>
</name>
<xref ref-type="aff" rid="aff1"/>
<xref ref-type="author-notes" rid="fn0001"><sup>&#x2020;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/3301548"/>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Formal analysis" vocab-term-identifier="https://credit.niso.org/contributor-roles/formal-analysis/">Formal analysis</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; original draft" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing &#x2013; original draft</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="investigation" vocab-term-identifier="https://credit.niso.org/contributor-roles/investigation/">Investigation</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="methodology" vocab-term-identifier="https://credit.niso.org/contributor-roles/methodology/">Methodology</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="software" vocab-term-identifier="https://credit.niso.org/contributor-roles/software/">Software</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &#x0026; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &#x0026; editing</role>
</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Pineda</surname>
<given-names>Delilah</given-names>
</name>
<xref ref-type="aff" rid="aff1"/>
<xref ref-type="author-notes" rid="fn0001"><sup>&#x2020;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/3374619"/>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="methodology" vocab-term-identifier="https://credit.niso.org/contributor-roles/methodology/">Methodology</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &#x0026; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &#x0026; editing</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; original draft" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing &#x2013; original draft</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="investigation" vocab-term-identifier="https://credit.niso.org/contributor-roles/investigation/">Investigation</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Formal analysis" vocab-term-identifier="https://credit.niso.org/contributor-roles/formal-analysis/">Formal analysis</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="validation" vocab-term-identifier="https://credit.niso.org/contributor-roles/validation/">Validation</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Data curation" vocab-term-identifier="https://credit.niso.org/contributor-roles/data-curation/">Data curation</role>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chang</surname>
<given-names>Jason L.</given-names>
</name>
<xref ref-type="aff" rid="aff1"/>
<uri xlink:href="https://loop.frontiersin.org/people/3371331"/>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &#x0026; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &#x0026; editing</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; original draft" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing &#x2013; original draft</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="methodology" vocab-term-identifier="https://credit.niso.org/contributor-roles/methodology/">Methodology</role>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Angstman</surname>
<given-names>Michael R.</given-names>
</name>
<xref ref-type="aff" rid="aff1"/>
<uri xlink:href="https://loop.frontiersin.org/people/3371247"/>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; original draft" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing &#x2013; original draft</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="investigation" vocab-term-identifier="https://credit.niso.org/contributor-roles/investigation/">Investigation</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &#x0026; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &#x0026; editing</role>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Dastin-van Rijn</surname>
<given-names>Evan M.</given-names>
</name>
<xref ref-type="aff" rid="aff1"/>
<uri xlink:href="https://loop.frontiersin.org/people/1795981"/>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="methodology" vocab-term-identifier="https://credit.niso.org/contributor-roles/methodology/">Methodology</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="software" vocab-term-identifier="https://credit.niso.org/contributor-roles/software/">Software</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &#x0026; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &#x0026; editing</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; original draft" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing &#x2013; original draft</role>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Widge</surname>
<given-names>Alik S.</given-names>
</name>
<xref ref-type="aff" rid="aff1"/>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/234412"/>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="conceptualization" vocab-term-identifier="https://credit.niso.org/contributor-roles/conceptualization/">Conceptualization</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="supervision" vocab-term-identifier="https://credit.niso.org/contributor-roles/supervision/">Supervision</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Funding acquisition" vocab-term-identifier="https://credit.niso.org/contributor-roles/funding-acquisition/">Funding acquisition</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &#x0026; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &#x0026; editing</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; original draft" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing &#x2013; original draft</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Project administration" vocab-term-identifier="https://credit.niso.org/contributor-roles/project-administration/">Project administration</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="resources" vocab-term-identifier="https://credit.niso.org/contributor-roles/resources/">Resources</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="validation" vocab-term-identifier="https://credit.niso.org/contributor-roles/validation/">Validation</role>
</contrib>
</contrib-group>
<aff id="aff1"><institution>Department of Psychiatry and Behavioral Sciences, University of Minnesota</institution>, <city>Minneapolis</city>, <state>MN</state>, <country country="us">United States</country></aff>
<author-notes>
<corresp id="c001"><label>&#x002A;</label>Correspondence: Alik S. Widge, <email xlink:href="mailto:awidge@umn.edu">awidge@umn.edu</email></corresp>
<fn fn-type="equal" id="fn0001">
<label>&#x2020;</label>
<p>These authors have contributed equally to this work and share first authorship</p>
</fn>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-18">
<day>18</day>
<month>02</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>20</volume>
<elocation-id>1758605</elocation-id>
<history>
<date date-type="received">
<day>01</day>
<month>12</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>19</day>
<month>01</month>
<year>2026</year>
</date>
<date date-type="accepted">
<day>21</day>
<month>01</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2026 Reimer, Li, Hu, Pineda, Chang, Angstman, Dastin-van Rijn and Widge.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Reimer, Li, Hu, Pineda, Chang, Angstman, Dastin-van Rijn and Widge</copyright-holder>
<license>
<ali:license_ref start_date="2026-02-18">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</license-p>
</license>
</permissions>
<abstract>
<p>Maladaptive avoidance is a central feature of many mental disorders, particularly stress- and anxiety-related disorders. Those disorders are more prevalent in women, suggesting that there may be sex differences in avoidance propensity. Sex differences have been documented in threat conditioning, but not in active avoidance paradigms, despite their potential clinical relevance. Preclinical research has historically focused on males, limiting our understanding of the neurobiological mechanisms underlying sex differences in threat responses. To address this gap, we investigated sex-specific strategies in adult Long Evans rats (10 female, 9 male) using a platform-mediated avoidance (PMA) task that created a high-conflict choice between reward-seeking and safety. Behavior was tracked over 25&#x202F;days, with analyses focusing on a stable performance phase (days 20&#x2013;25) objectively defined using change point analysis. Females consistently prioritized safety, spending significantly more time foregoing reward to avoid foot shock and retreating earlier to the safe zone. Males engaged in more persistent reward-seeking despite the risk of shock. This difference was not driven by differential reward motivation. Furthermore, female strategies were not significantly modulated by the estrous cycle. These results were consistent in a pre-registered replication study. Thus, male and female rats employ fundamentally different strategies to resolve approach-avoidance conflict: females adopt a robust, safety-first strategy, while males demonstrate a risk-prone, reward-oriented approach. Identifying the neural mechanisms underlying these differences may guide more targeted interventions for anxiety and trauma-related disorders.</p>
</abstract>
<kwd-group>
<kwd>active avoidance</kwd>
<kwd>anxiety disorders</kwd>
<kwd>approach-avoidance conflict</kwd>
<kwd>estrous cycle</kwd>
<kwd>platform mediated avoidance</kwd>
<kwd>sex differences</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication.We acknowledge financial support from the US National Institutes of Health (R01MH123634), the Minnesota Medical Discovery Team on Addictions, and the MnDRIVE Brain Conditions Initiative. EDvR was supported by a National Science Foundation Graduate Research Fellowship under award number 2237827. All opinions and data expressed herein are solely those of the authors and do not represent the position, interests, or opinions of any funding body.</funding-statement>
</funding-group>
<counts>
<fig-count count="8"/>
<table-count count="0"/>
<equation-count count="0"/>
<ref-count count="108"/>
<page-count count="14"/>
<word-count count="12160"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Emotion Regulation and Processing</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec1">
<title>Introduction</title>
<p>Women are substantially more likely than men to be diagnosed with stress- and anxiety-related disorders, including post-traumatic stress disorder and generalized anxiety disorder (<xref ref-type="bibr" rid="ref48">Kessler et al., 2005</xref>; <xref ref-type="bibr" rid="ref65">McLean et al., 2011</xref>; <xref ref-type="bibr" rid="ref41">Haering et al., 2024</xref>). These conditions are highly comorbid, share overlapping symptoms (<xref ref-type="bibr" rid="ref80">Price and van Stolk-Cooke, 2015</xref>; <xref ref-type="bibr" rid="ref1">Afzali et al., 2017</xref>), and rank among the most prevalent mental health challenges globally, contributing to significant societal and economic costs (<xref ref-type="bibr" rid="ref33">Fineberg et al., 2013</xref>; <xref ref-type="bibr" rid="ref95">Trautmann et al., 2016</xref>). Despite the clear sex disparity in prevalence, the underlying neurobiological mechanisms driving these differences remain poorly understood (<xref ref-type="bibr" rid="ref52">Lebron-Milad and Milad, 2012</xref>; <xref ref-type="bibr" rid="ref25">Day and Stevenson, 2020</xref>).</p>
<p>A core behavioral symptom and transdiagnostic feature across these disorders is maladaptive avoidance, where individuals excessively avoid situations or stimuli perceived as threatening (<xref ref-type="bibr" rid="ref29">Dymond, 2019</xref>). Avoidance frequently arises from attempts to regulate intense negative emotions, including preventing contact with sources of distress by avoidance of external triggers and the avoidance of internal thoughts and feelings (<xref ref-type="bibr" rid="ref7">Barlow, 2008</xref>; <xref ref-type="bibr" rid="ref30">Ellard et al., 2010</xref>). Because avoidance can severely impair daily functioning, it is a key target for clinical intervention (<xref ref-type="bibr" rid="ref86">Salters-Pedneault et al., 2004</xref>; <xref ref-type="bibr" rid="ref13">Blakey and Abramowitz, 2016</xref>). Examining the basis of sex differences in the expression of avoidance, which allows for better understanding of the dysfunctional mechanisms underlying the mental disorders, is therefore a critical step toward developing more effective, personalized treatments.</p>
<p>Rodent models have been instrumental in elucidating the neural circuits of threat conditioning and avoidance (<xref ref-type="bibr" rid="ref53">LeDoux, 2000</xref>; <xref ref-type="bibr" rid="ref60">Maren, 2001</xref>; <xref ref-type="bibr" rid="ref12">Bienvenu et al., 2021</xref>; <xref ref-type="bibr" rid="ref28">Diehl et al., 2024</xref>), yet preclinical research has historically focused almost exclusively on male subjects (<xref ref-type="bibr" rid="ref11">Beery and Zucker, 2011</xref>; <xref ref-type="bibr" rid="ref24">Dalla and Shors, 2009</xref>; <xref ref-type="bibr" rid="ref89">Shansky, 2018</xref>). This persistent exclusion of females has limited our ability to model the full spectrum of anxiety pathology and has created significant gaps in our knowledge of the female neurobehavioral response to threat (<xref ref-type="bibr" rid="ref90">Shansky, 2019</xref>; <xref ref-type="bibr" rid="ref91">Shansky and Murphy, 2021</xref>).</p>
<p>The limited studies that have included both sexes reveal important sexual dimorphisms. For instance, female mice can demonstrate more persistent avoidance following extinction training (<xref ref-type="bibr" rid="ref42">Halcomb et al., 2024</xref>), and both female rats and mice often employ different defensive response strategies compared to males, such as active darting or &#x201C;anxioescapic&#x201D; behaviors instead of passive freezing (<xref ref-type="bibr" rid="ref39">Gruene et al., 2015a</xref>; <xref ref-type="bibr" rid="ref88">Shanazz et al., 2022</xref>; <xref ref-type="bibr" rid="ref42">Halcomb et al., 2024</xref>). This divergence may reflect fundamentally different cognitive strategies for assessing risk. For example, in value-based decision-making, females are more likely to use a steady, long-term &#x201C;less risky&#x201D; strategy, whereas males often change their approach based on recent outcomes (<xref ref-type="bibr" rid="ref21">Chen et al., 2021a</xref>, <xref ref-type="bibr" rid="ref22">2021b</xref>). Such findings suggest that sex-based variations could arise from sex-biased cognitive approaches (<xref ref-type="bibr" rid="ref37">Grissom et al., 2024</xref>). Sex-biased behaviors are often assumed to arise from gonadal hormones, but hormonal contribution to avoidance-related phenomenas is not straightforward. For example, although hormonal fluctuations across the estrous cycle in females can modulate the consolidation of safety learning (<xref ref-type="bibr" rid="ref59">Maeng et al., 2017</xref>) and increase vulnerability to deficits in contextual threat extinction in a pharmacological OCD model (<xref ref-type="bibr" rid="ref84">Reimer et al., 2018</xref>), they show little effect on other behaviors. These include, for example, open-field exploration (<xref ref-type="bibr" rid="ref54">Levy et al., 2023</xref>), and in interactions in the resident-intruder assay (<xref ref-type="bibr" rid="ref107">Zeng et al., 2023</xref>).</p>
<p>A second challenge in existing literature is that it depends heavily on paradigms that may not model clinically relevant avoidance (<xref ref-type="bibr" rid="ref4">Aupperle and Paulus, 2010</xref>; <xref ref-type="bibr" rid="ref50">Kirlic et al., 2017</xref>; <xref ref-type="bibr" rid="ref5">Ball and Gunaydin, 2022</xref>). Avoidance tasks are typically categorized as passive (withholding an action to avoid threat) or active (performing one). Focusing on the latter, many standard active avoidance paradigms, like the shuttle box, have translational limitations (<xref ref-type="bibr" rid="ref27">Diehl et al., 2019</xref>). The shuttle avoidance (<xref ref-type="bibr" rid="ref67">Mowrer and Lamoreaux, 1946</xref>; <xref ref-type="bibr" rid="ref51">Krypotos et al., 2015</xref>), for example, requires an animal to repeatedly re-enter a compartment where it was just shocked. This creates a condition where there is no well-defined safe location, leading to an ambiguous response: it promotes freezing behavior that directly competes with, and can be mistaken for, the avoidance strategy being measured. Furthermore, these tasks typically omit any cost for the avoidant action, failing to model the clinically relevant situations where individuals sacrifice valuable opportunities by engaging in excessive, maladaptive avoidance that severely impairs their daily functioning (<xref ref-type="bibr" rid="ref3">Aupperle et al., 2015</xref>; <xref ref-type="bibr" rid="ref77">Pittig et al., 2021</xref>).</p>
<p>More recently, the Platform Mediated Avoidance (PMA; <xref ref-type="bibr" rid="ref16">Bravo-Rivera et al., 2014</xref>) task was developed to address these issues, allowing for a less ambiguous behavioral response by providing a distinct safe zone while also incorporating a cost&#x2013;benefit component. In PMA, animals may food-seek by pressing a lever, but to avoid a signaled foot shock, must retreat to an insulating platform far from the lever. However, this paradigm models a specific type of conflict where the threat and reward are separated in time; an animal can simply wait for the threat to pass before safely resuming reward-seeking. While this is a valuable model, it does not fully capture the decision-making characteristic of clinical anxiety, where valuable opportunities are contingent upon enduring a perceived threat. A more direct model requires forcing an explicit trade-off where the reward is only available in the presence of the threat. Investigating the potentially dimorphic strategies that emerge under such intense conditions - which can reflect differences in threat-response regulation, decision-making, or both (<xref ref-type="bibr" rid="ref73">Orsini et al., 2016</xref>; <xref ref-type="bibr" rid="ref36">Greiner et al., 2019</xref>; <xref ref-type="bibr" rid="ref104">Xu et al., 2022</xref>) - is a crucial step toward understanding the neurobiological basis of avoidance circuits and how they may be altered in clinical populations (<xref ref-type="bibr" rid="ref72">Olff, 2017</xref>; <xref ref-type="bibr" rid="ref74">Panayiotou et al., 2017</xref>).</p>
<p>Therefore, the present study employed a high conflict PMA task similar to <xref ref-type="bibr" rid="ref17">Bravo-Rivera et al. (2021)</xref>, designed to create the type of intense approach-avoidance conflict needed to reveal these strategies. In our paradigm, animals could only access rewards when a threat was imminent, forcing a choice between reward-seeking and safety. Aside from having more face resemblance to clinical avoidance, this increased conflict may invoke more deliberative, value-based decision-making, which may be revealed in vicarious behaviors (<xref ref-type="bibr" rid="ref75">Papale et al., 2012</xref>; <xref ref-type="bibr" rid="ref87">Schmidt et al., 2013</xref>). We tracked the development of avoidance and approach behaviors over 25&#x202F;days to examine how strategies were acquired and expressed once they stabilized, allowing us to compare both the learning dynamics and end-stage behavioral patterns between sexes.</p>
<p>Based on the clinical prevalence of anxiety disorders in women and preclinical evidence of dimorphic threat responses, we hypothesized that male and female rats would adopt distinct strategies. Specifically, we predicted that females would exhibit greater avoidance behavior, prioritizing safety at the cost of reward, whereas males would demonstrate more risk-insensitive reward-seeking. We also conducted exploratory analyses to determine whether behavioral strategies in females were modulated by the estrous cycle, given the putative influence of reproductive hormones on threat-detection / threat-response in rodents (<xref ref-type="bibr" rid="ref84">Reimer et al., 2018</xref>; <xref ref-type="bibr" rid="ref59">Maeng et al., 2017</xref>).</p>
</sec>
<sec sec-type="methods" id="sec2">
<title>Methods</title>
<sec id="sec3">
<title>Preregistration</title>
<p>The first cohort (4 female, 4 male) was not preregistered. To test whether the exploratory findings from that cohort were replicable, the experimental design and analysis plan for the second cohort (6 female, 5 male) were preregistered on the Open Science Framework (<ext-link xlink:href="https://osf.io/gav3h" ext-link-type="uri">https://osf.io/gav3h</ext-link>) prior to data collection. The sample size was determined via power analysis for repeated measures ANOVA assuming a small effect size (f<sup>2</sup>&#x202F;=&#x202F;0.1), alpha of 0.05, and power of 0.80 (full details in preregistration), used as a conservative approximation for the planned GLMMs.</p>
</sec>
<sec id="sec4">
<title>Animals</title>
<p>All experiments were conducted in accordance with the NIH Guidelines for the Care and Use of Laboratory Animals and were approved by the University of Minnesota Institutional Animal Care and Use Committee (IACUC, protocol 2,303-40918A). A total of 19 adult Long Evans rats (10 female, ~250&#x202F;g; 9 male, ~350&#x202F;g; ~3&#x202F;months old), purchased from Charles River Laboratories (Wilmington, MA), were used in this study. Upon arrival, rats were pair-housed under a 12-h reverse light/dark cycle (lights off at 9:00&#x202F;a.m.) and allowed to acclimate for at least 7&#x202F;days. Following acclimation, they were individually housed and handled daily for 7 consecutive days. Individual housing was maintained throughout the experiment to ensure methodological consistency with prior studies characterizing PMA (<xref ref-type="bibr" rid="ref16">Bravo-Rivera et al., 2014</xref>; <xref ref-type="bibr" rid="ref17">Bravo-Rivera et al., 2021</xref>). To maintain motivation for the sucrose reward, rats were food restricted to 90% of their baseline body weight. Their weight was monitored daily, and food allotment was adjusted to maintain this target weight (not falling below 85% of baseline). All behavioral testing occurred during the dark phase under red light.</p>
<p>Animals were tested in two cohorts. The first cohort (4F, 4&#x202F;M) was run prior to preregistration. The second, preregistered cohort (6F, 5&#x202F;M) served as a replication. Behavioral modeling was conducted separately for each cohort to preserve the confirmatory nature of the preregistered analyses. Data from both cohorts were combined for estrous-stage analyses, which were designated as exploratory in the preregistration, to increase statistical power.</p>
</sec>
<sec id="sec5">
<title>Apparatus</title>
<p>Behavioral testing was conducted in modified operant chambers (40.6&#x202F;cm&#x202F;&#x00D7;&#x202F;25.4&#x202F;cm&#x202F;&#x00D7;&#x202F;44.0&#x202F;cm; Lafayette Instruments, Lafayette, IN) housed within sound-attenuating cubicles. Each chamber featured a grid floor capable of delivering scrambled footshocks, a retractable lever with a cue light and speaker, and pellet dispenser and trough on one wall, and an acrylic safety platform (10.2&#x202F;cm&#x202F;&#x00D7;&#x202F;25.4&#x202F;cm) on the opposite wall. Sessions were recorded by digital video cameras (DMK 37AUX287, The Imaging Source, NC) mounted above the behavioral chamber. A computer and interface unit (Lafayette Instruments) was connected to the chambers, and all task parameters, stimulus presentation, and data acquisition were controlled by in-house developed behavior control software Pybehave (<xref ref-type="bibr" rid="ref85">Rijn et al., 2024</xref>).</p>
</sec>
<sec id="sec6">
<title>Procedures</title>
<sec id="sec7">
<title>Platform mediated avoidance task</title>
<p>The behavioral protocol consisted of three sequential stages: (1) initial lever press training, (2) conditioning of separate threat and reward cues, and (3) an extended high-conflict PMA task (<xref ref-type="fig" rid="fig1">Figure 1A</xref>).</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Experimental timeline and platform mediated avoidance (PMA) task paradigm. <bold>(A)</bold> Experimental timeline: after habituation and once target weight was reached through food restriction, rats were trained to lever press for a food reward on fixed-ratio (FR1: 4&#x2013;13 sessions) and variable-interval (VI30: 2&#x2013;8 sessions) schedules. This was followed by low conflict (3&#x202F;days), light cue association (4&#x202F;days), and high conflict (25&#x202F;days) phases. <bold>(B)</bold> High conflict PMA task: each daily session began with a 30-s pre-trial interval and consisted of 20 trials (variable inter-trial interval, ITI, 25&#x2013;45&#x202F;s), concluding with a 45-s post-trial interval. A trial begins with the onset of a 30-s auditory tone. Only during this tone, the rat can press the lever to receive a food reward but must retreat to the safe platform to avoid a footshock (0.4&#x202F;mA for 2&#x202F;s) delivered through the grid floor at the end of the tone. <bold>(C)</bold> Still frame showing tracked body points using DeepLabCut. Zones of interest (platform and reward, shaded in yellow and red, respectively). The frame also illustrates the assessment of reward attentiveness, where the animal&#x2019;s head is oriented toward the reward zone (indicated by the eyeline vector).</p>
</caption>
<graphic xlink:href="fnbeh-20-1758605-g001.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Experimental setup for a behavioral study. Panel A shows the sequence of lever press training followed by low, light cue, and high conflict sessions. Panel B illustrates the trial process with inter-trial intervals, a 30-second tone, and a 2-second mild shock. Each session has a total of 20 trials. Panel C displays a diagram of a rat oriented toward the reward area.</alt-text>
</graphic>
</fig>
<p>First, all animals underwent operant conditioning to press a lever for 45-mg sucrose pellets in 40-min daily sessions. Training began on a fixed-ratio 1 (FR1) schedule and advanced to a variable-interval 30-s (VI30) schedule after an animal achieved a rate of at least 10 presses within the first 10&#x202F;min of a session. The same criterion was required on the VI30s schedule before proceeding. The number of sessions required to reach these criteria varied by animal (FR1: 4&#x2013;13 sessions; VI30: 2&#x2013;8 sessions).</p>
<p>After lever-press acquisition, rats underwent two distinct pre-training phases to establish key associations. First, in a three-day, low-conflict conditioning phase, a 6&#x202F;kHz warning tone was paired with a co-terminating 2-s, 0.4&#x202F;mA footshock over twenty 30s trials (Inter-Trial-Interval, ITI: 25&#x2013;45&#x202F;s). The lever remained continuously available during the ITI. Next, animals were subjected to a four-day reward-cue phase, in which the lever and an associated cue light were made accessible only during the 30&#x202F;s trial periods, with no tones or shocks delivered. This trained the animals to associate the light-cued trial period with reward availability.</p>
<p>The final phase was a 25-day high-conflict PMA task. Each session began with a 30-s pre-trial interval and concluded with a 45-s post-trial interval following the last tone/shock presentation, after which animals were removed. The trial structure (twenty 30s trials; 25&#x2013;45&#x202F;s ITI) was maintained. The food lever and its light cue were now accessible only during the presentation of the tone, which still co-terminated with the footshock. This design created a direct approach-avoidance conflict, forcing animals to choose between approaching the lever for a reward and retreating to the platform for safety (<xref ref-type="fig" rid="fig1">Figure 1B</xref>). At the end of each trial, the lever was retracted, becoming unavailable during the ITI. While consistent with the paradigm used by <xref ref-type="bibr" rid="ref17">Bravo-Rivera et al. (2021)</xref>, our protocol adds lever retraction to prevent reward-seeking during the safety of the ITI.</p>
</sec>
<sec id="sec8">
<title>Estrous cycle staging</title>
<p>Following each behavioral session, vaginal lavage was conducted on female rats to determine estrous stage. It was performed using a pipette containing approximately 100&#x202F;&#x03BC;L of sterile saline. Saline was gently flushed in and out of the vaginal canal several times to collect epithelial cells. The sample was then transferred to a glass slide. The slides were left to dry in room temperature followed by staining (DipQuick Stain Fixative, Stain Solution, and Counter Stain, JorVet, CO) and examination under a light microscope for cytological assessment (<xref ref-type="bibr" rid="ref23">Cora et al., 2015</xref>). To control for stress associated with this procedure, male rats were held in the same restraint position for a similar duration after each session.</p>
</sec>
</sec>
<sec id="sec9">
<title>Behavioral and statistical analysis</title>
<sec id="sec10">
<title>Pose estimation</title>
<p>Animal body position was tracked using DeepLabCut (v3.0RC10; <xref ref-type="bibr" rid="ref62">Mathis et al., 2018</xref>, <xref ref-type="bibr" rid="ref70">Nath et al., 2019</xref>). A ResNet-50-based neural network (<xref ref-type="bibr" rid="ref47">Insafutdinov et al., 2016</xref>; <xref ref-type="bibr" rid="ref44">He et al., 2016</xref>) with default parameters was used on 1,230 manually labeled frames from 108 video fragments including different animals/sessions (95% training, 5% testing), for 6 shuffles. The final trained network achieved a test error of 2.61 pixels and a training error of 1.6 pixels (image size: 720 &#x00D7; 540 pixels) with a p-cutoff of 0.6.</p>
</sec>
<sec id="sec11">
<title>Post-processing</title>
<p>All subsequent behavioral data processing was performed in the RStudio environment (v2025.5.1.513; <xref ref-type="bibr" rid="ref79">Posit team, 2025</xref>) using R (v4.5.1; <xref ref-type="bibr" rid="ref81">R Core Team, 2025</xref>). Data wrangling and transformation were conducted primarily using the tidyverse (<xref ref-type="bibr" rid="ref100">Wickham et al., 2019</xref>; v2.0.0), including its component packages dplyr (<xref ref-type="bibr" rid="ref100">Wickham et al., 2019</xref>; v1.1.4), tidyr (<xref ref-type="bibr" rid="ref103">Wickham et al., 2024b</xref>; v1.3.1), tibble (<xref ref-type="bibr" rid="ref68">M&#x00FC;ller and Wickham, 2025</xref>; v3.3.0), stringr (<xref ref-type="bibr" rid="ref98">Wickham, 2023</xref>; v1.5.1), purrr (<xref ref-type="bibr" rid="ref99">Wickham and Henry, 2025</xref>; v1.1.0), readr (<xref ref-type="bibr" rid="ref102">Wickham et al., 2024a</xref>; v2.1.5), and glue (<xref ref-type="bibr" rid="ref45">Hester and Bryan, 2024</xref>; v1.8.0). In addition, data.table (<xref ref-type="bibr" rid="ref8">Barrett et al., 2025</xref>; v1.17.8) was used for data aggregation.</p>
<p>The behavioral chamber was divided into two zones: platform and reward (<xref ref-type="fig" rid="fig1">Figure 1C</xref>). Events (tone, shock, lever press) were extracted from PyBehave log files. An animal&#x2019;s location was determined by the coordinates of its lower back, defining the time spent in each zone. In addition to physical location, reward attentiveness was calculated as the total time an animal spent either within the reward zone or oriented toward it from outside the zone, a metric designed to quantify the deliberative &#x201C;stretch-attend&#x201D; postures characteristic of Vicarious Trial and Error during risk-assessment (<xref ref-type="bibr" rid="ref83">Redish, 2016</xref>). Head orientation was determined by calculating a forward-projecting vector from the animal&#x2019;s head-center through its nose on a by-frame basis. If this vector intersected with the reward zone&#x2019;s coordinates, the frame was counted as &#x201C;looking at the reward.&#x201D;</p>
</sec>
<sec id="sec12">
<title>Change point analysis</title>
<p>We expected that sex differences might best be revealed once animals had reached stable task behavior, rather than during periods where they were still identifying preferred strategies. To objectively identify the onset of that stable, end-stage behavior, Bayesian change point analysis was applied to the daily averages of three key metrics from Cohort 1: percent time on the platform, reward attentiveness, and total bar presses. Using the mcp package in R (<xref ref-type="bibr" rid="ref56">Lindel&#x00F8;v, 2020</xref>; v0.3.4), performance for each metric and sex was modeled with a three-segment trajectory: 1) a flat baseline, 2) a quadratic learning phase, and 3) a final flat stable phase (model: DailyAvg ~ 1, ~ 0 + DAY + I(DAY^2), ~ 1). This extended learning phase is characteristic of the PMA paradigm, which requires a prolonged period for the initial freezing response to subside and for competing behaviors, such as reward-seeking, to stabilize (<xref ref-type="bibr" rid="ref16">Bravo-Rivera et al., 2014</xref>; <xref ref-type="bibr" rid="ref61">Mart&#x00ED;nez-Rivera et al., 2020</xref>). The second change point, marking the transition into the stable phase, was estimated for each model. The latest of these change points across all metrics and both sexes was Day 19 (see Results). Therefore, performance on days 20&#x2013;25 was defined as the stable phase for both cohorts.</p>
</sec>
<sec id="sec13">
<title>Behavioral modeling</title>
<p>Stable-phase behavior was analyzed using generalized linear mixed models (GLMMs) in R, with models fit separately for each cohort (<xref ref-type="bibr" rid="ref15">Bolker et al., 2009</xref>). The high-conflict design of the task forcing a choice between the safety of the platform and the reward at the lever, produced bimodal data distributions. Specifically, many trials resulted in mutually exclusive behavioral outcomes, where an animal either remained on the platform for the entire duration (resulting in 100% platform time and zero bar presses) or committed to reward-seeking by approaching the lever. To properly capture this structure, we selected two-part models that separate the binary choice to engage in a behavior from the subsequent frequency or duration of that behavior (<xref ref-type="bibr" rid="ref34">Fisher et al., 2017</xref>; <xref ref-type="bibr" rid="ref108">Zhu et al., 2017</xref>). Based on data characteristics from Cohort 1, four primary dependent variables were modeled</p>
<p>
<list list-type="order">
<list-item>
<p>Bar Presses: Modeled using a zero-inflated negative binomial (ZINB) GLMM. The model&#x2019;s zero-inflation component estimated the probability of a rat not approaching the lever at all within a trial, while the negative binomial component modeled the number of bar presses on trials where it did approach.</p>
</list-item>
<list-item>
<p>Proportion of Time on Platform: Modeled using a hurdle-beta GLMM. A binomial model first predicted the probability of spending any time off the platform (hurdle), followed by a beta regression on the proportion of time for trials where the animal did not spend 100% of the time on the platform.</p>
</list-item>
<list-item>
<p>Reward Attentiveness: Modeled using a beta GLMM to analyze the proportion of trial time the animal was oriented toward the reward zone.</p>
</list-item>
<list-item>
<p>Latency to the platform: To assess the timing of the avoidance strategy, we modeled the latency to enter the safe platform zone using a Gamma GLMM with a log link function.</p>
</list-item>
</list>
</p>
<p>For both proportion-based measures (platform time and attentiveness), values were transformed using the <xref ref-type="bibr" rid="ref92">Smithson and Verkuilen (2006)</xref> method to fit the open (0,1) interval required for beta regression.</p>
<p>Each model included fixed effects for sex (female&#x202F;=&#x202F;0, male&#x202F;=&#x202F;1), day (continuous), trial (1-20, continuous), handler (categorical), previous shock history on that day (SH; binary). We included handler as a variable because avoidance behaviors can be highly sensitive to a rat&#x2019;s overall level of comfort, which could easily be influenced by small changes such as handlers&#x2019; vocal tone or choice of perfume. The same three handlers performed all procedures in both cohorts, following a standardized protocol for animal transport, weighing, and lavage/handling. Handlers were assigned based on daily availability, resulting in a quasi-randomized rotation that ensured each handler tested every animal, preventing confounding of handler identity with sex or individual animal phenotype. To account for repeated measures, animal ID was included as a random intercept. An important consideration for the analysis was the inherent correlation between sex and body weight, as adult male and female rats have distinct weight distributions. To create a predictor for relative size that was independent of sex, we transformed each animal&#x2019;s absolute weight by z-scoring it against the mean and standard deviation of all weights from its respective sex, calculated across the stable phase (days 20-25). This average z-scored weight was then included as a fixed effect in the models. The preregistered analysis plan also included an interaction term for sex-by-weight. However, post-hoc multicollinearity diagnostics revealed that the sex-by-weight interaction introduced statistical instability, indicated by the Variance Inflation Factors exceeding 5 (<xref ref-type="bibr" rid="ref49">Kim, 2019</xref>). Therefore, in a deviation from the preregistration, this term was removed from the final reported models to ensure their validity and the reliability of the coefficients</p>
<p>Baseline lever-pressing rates from the combined cohorts during the Light Cue phase were analyzed using a negative binomial GLMM. This model included fixed effects for sex and session, with animal ID as a random intercept.</p>
<p>All continuous predictors were normalized to a 0-1 scale. Statistical significance was set at <italic>p</italic>&#x202F;&#x003C;&#x202F;0.05. Models were fit using the glmmTMB package (<xref ref-type="bibr" rid="ref18">Brooks et al., 2017</xref>; v1.1.11) and lme4 package (<xref ref-type="bibr" rid="ref10">Bates et al., 2015</xref>; v1.1.37), with alternative optimization algorithms accessed via optimx (<xref ref-type="bibr" rid="ref69">Nash and Varadhan, 2011</xref>; v2025-4.9) when convergence issues arose. Residual and model diagnostics were performed using DHARMa (<xref ref-type="bibr" rid="ref43">Hartig et al., 2024</xref>; v0.4.7), performance (<xref ref-type="bibr" rid="ref57">L&#x00FC;decke et al., 2021a</xref>; v0.15.0), and see (<xref ref-type="bibr" rid="ref58">L&#x00FC;decke et al., 2021b</xref>; v0.11.0). Robust variance estimates were checked using sandwich (<xref ref-type="bibr" rid="ref106">Zeileis et al., 2020</xref>; v3.1.1) and lmtest (<xref ref-type="bibr" rid="ref105">Zeileis and Hothorn, 2002</xref>; v0.9.40).</p>
</sec>
<sec id="sec14">
<title>Estrous based analysis</title>
<p>To explore hormonal influences on stable behavior, we conducted an exploratory analysis using trial-level data from female rats (n&#x202F;=&#x202F;10) across both cohorts during the stable phase (Days 20-25). Given the continuous daily testing design, where sessions were conducted regardless of estrous phase, the distribution of the stages was unbalanced, reflecting the natural duration differences across cycle phases. Daily cytological classifications were therefore grouped into a binary &#x201C;Hormone_Level&#x201D; factor: &#x201C;High-Hormone&#x201D; (proestrus, estrus) and &#x201C;Low-Hormone&#x201D; (metestrus, diestrus), following <xref ref-type="bibr" rid="ref84">Reimer et al. (2018)</xref>, with the latter as reference category. Across the stable phase (Days 20-25), this yielded 56 sessions from 10 female subjects: 23 classified as High-Hormone (contributed by all 10 subjects) and 33 classified as Low-Hormone (contributed by 9 subjects). We applied the same GLMM framework used in the primary analysis, with Hormone_Level replacing Sex as the primary predictor of interest. The Reward Attentiveness (beta GLMM) and Platform Time (hurdle-beta GLMM) models successfully converged with all preregistered covariates. However, the Bar Presses (ZINB) model initially failed to converge due to statistical instability from the reduced female-only sample size. To achieve a stable model while preserving the most influential variables, we removed the average z-scored weight term from the conditional component, as this was the least consistent predictor across cohorts in the main analysis. The zero-inflation component retained all covariates. All models included animal ID as a random intercept.</p>
</sec>
<sec id="sec15">
<title>Visualization and reporting</title>
<p>Figures were generated using ggplot2 (<xref ref-type="bibr" rid="ref97">Wickham, 2016</xref>; v3.5.2), with palettes from RColorBrewer (<xref ref-type="bibr" rid="ref71">Neuwirth, 2022</xref>; v1.1.3) and additional layers from ggnewscale (<xref ref-type="bibr" rid="ref19">Campitelli, 2025</xref>; v0.5.2) and ggsignif (<xref ref-type="bibr" rid="ref2">Ahlmann-Eltze and Patil, 2021</xref>; v0.6.4). Plot layouts were composed with patchwork (<xref ref-type="bibr" rid="ref76">Pedersen, 2025</xref>; v1.3.1). Tables were formatted with gt (<xref ref-type="bibr" rid="ref46">Iannone et al., 2025</xref>; v1.0.0). Model outputs were tidied for reporting using broom.mixed (<xref ref-type="bibr" rid="ref14">Bolker and Robinson, 2024</xref>; v0.2.9.6).</p>
</sec>
</sec>
</sec>
<sec sec-type="results" id="sec16">
<title>Results</title>
<sec id="sec17">
<title>Change point analysis</title>
<p>To objectively define the transition from learning to stable behavior, we conducted a Bayesian change point analysis on the daily performance metrics of the initial cohort (Cohort 1). We fit a three-segment piecewise regression model (flat baseline, quadratic learning, flat stable phase) to three behaviors: avoidance, reward attentiveness, and bar presses. Models were run for 700,000 iterations across 7 chains to ensure convergence. For females, the transition to the stable plateau occurred at Day 11.36 for avoidance (95% CI: 8.00&#x2013;14.96), Day 12.46 for reward attentiveness (95% CI: 6.20&#x2013;25.00), and Day 13.07 for bar presses (95% CI: 9.44&#x2013;17.00). Males exhibited a more extended learning phase, with behavior stabilizing at Day 16.70 for avoidance (95% CI: 13.00&#x2013;22.57), Day 14.74 for reward attentiveness (95% CI: 8.00&#x2013;24.03), and Day 18.92 for bar presses (95% CI: 14.71&#x2013;23.00). To establish a conservative window ensuring that all animals had reached a performance asymptote, we defined the stable phase based on the latest change point. With the final transition occurring at Day 19 for male bar pressing, all subsequent analyses were conducted on data from experimental days 20&#x2013;25 (<xref ref-type="fig" rid="fig2">Figure 2</xref>).</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Determination of stable behavior using change point analysis. The onset of stable performance in Cohort 1 (<italic>n</italic>&#x202F;=&#x202F;8; 4 females, 4 males) was modeled across three key behaviors: <bold>(A)</bold> Total daily bar presses, <bold>(B)</bold> Percent of time spent on the platform, and <bold>(C)</bold> Percent of time attentive to the reward zone. Dotted lines represent observed means &#x00B1; standard error; solid lines show the mean posterior prediction of the fitted segmented regression model. Square markers denote estimated change points.</p>
</caption>
<graphic xlink:href="fnbeh-20-1758605-g002.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Three-panel line graph showing Bayesian change point analysis across 25 days for female (pink) and male (blue) rats. Panel A (Bar Presses): Both sexes increase from ~0-1 to stable plateaus &#x2013; females stabilize at ~4.5 presses around day 13, males at ~6.5 presses around day 19. Panel B (Platform Time): Both decrease from high initial values (~80-90%) to stable levels &#x2013; females ~63% by day 13, males ~53% by day 17. Panel C (Attentiveness): Females remain relatively flat (~46-51%); males increase from ~53% to ~60%. The latest change point (day 19) defined the stable-phase boundary (days 20-25).</alt-text>
</graphic>
</fig>
<p>To ensure that sex differences in the PMA task were not driven by baseline differences in reward motivation or motor capability, we analyzed lever-pressing behavior during the Light Cue phase, where the lever was available during trials but no footshocks were delivered. A GLMM on the combined cohorts revealed no significant effect of sex on the number of bar presses (<italic>&#x03B2;</italic>&#x202F;=&#x202F;0.20, <italic>z</italic> =&#x202F;1.40, <italic>p</italic>&#x202F;=&#x202F;0.161), indicating that males and females exhibit similar rates of responding before the high conflict phase.</p>
</sec>
<sec id="sec18">
<title>Initial study and replication</title>
<p>To investigate sex differences in avoidance and reward-seeking strategies during the stable phase of behavior (days 20&#x2013;25), we analyzed three key metrics: bar presses, avoidance (proportion of time on the platform), and reward attentiveness. Additionally, to quantify the timing of the avoidance strategy, we included a fourth metric: Latency to the platform. GLMMs were fit separately for Cohort 1 and Cohort 2.</p>
<sec id="sec19">
<title>Cohort 1</title>
<sec id="sec20">
<title>Reward-seeking behavior (Bar presses)</title>
<p>Analysis with the ZINB model showed a non-significant increase in male reward seeking compared to females (<italic>&#x03B2;</italic>&#x202F;=&#x202F;0.15, <italic>z</italic> =&#x202F;1.83, <italic>p</italic>&#x202F;=&#x202F;0.067; <xref ref-type="fig" rid="fig3">Figure 3A</xref>; <xref ref-type="supplementary-material" rid="SM1">Supplementary Table 1</xref>). Shock History (SH, any shock that day) was a significant negative predictor of bar pressing (<italic>&#x03B2;</italic>&#x202F;=&#x202F;&#x2212;0.33, <italic>z</italic> =&#x202F;&#x2212;7.97, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001). Additionally, the animal&#x2019;s average z-scored weight was a significant positive predictor of bar presses (<italic>&#x03B2;</italic>&#x202F;=&#x202F;0.26, <italic>z</italic> =&#x202F;2.83, <italic>p</italic>&#x202F;=&#x202F;0.005). The zero-inflation portion of the model, which predicts the likelihood of an animal making no presses, showed that both SH (<italic>&#x03B2;</italic>&#x202F;=&#x202F;0.66, <italic>z</italic> =&#x202F;2.84, <italic>p</italic> =&#x202F;0.005; <xref ref-type="supplementary-material" rid="SM1">Supplementary Table 2</xref>) and day (<italic>&#x03B2;</italic>&#x202F;=&#x202F;0.93, <italic>z</italic> =&#x202F;2.60, <italic>p</italic>&#x202F;=&#x202F;0.009) significantly increased the probability of complete inaction in a trial.</p>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>Sex differences in stable-phase performance in the high conflict task. Performance during days 20&#x2013;25 is shown for Cohort 1 (top row; <italic>n</italic>&#x202F;=&#x202F;4F, 4&#x202F;M) and the replication Cohort 2 (bottom row; <italic>n</italic>&#x202F;=&#x202F;6F, 5&#x202F;M). Violin plots with overlaid boxplots comparing females and males across three metrics: <bold>(A,B)</bold> Bar press count, <bold>(C,D)</bold> Platform time (%), <bold>(E,F)</bold> Latency to platform (s), and <bold>(G,H)</bold> Reward attentiveness (%). <italic>p</italic>-values from statistical comparisons between sexes are displayed above groups.</p>
</caption>
<graphic xlink:href="fnbeh-20-1758605-g003.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Eight-panel figure comparing sex differences during stable-phase (days 20-25) across Cohort 1 (top row) and Cohort 2 (bottom row) using violin plots with box plots for females (pink) and males (blue). Bar Presses (A, B): Males pressed more; significant in Cohort 2 (p=0.006). Platform Time (C, D): Females spent significantly more time on platform in both cohorts (p=0.015, p=0.031). Latency to Platform (E, F): Males took significantly longer to reach safety in both cohorts (p=0.035, p=0.030). Reward Attentiveness (G, H): Males were significantly more attentive in Cohort 1 (p=0.016) but not Cohort 2 (p=0.502).</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec21">
<title>Avoidance behavior (platform time)</title>
<p>Avoidance behavior was analyzed with a two-part hurdle-beta model. The first part (binomial hurdle) revealed no sex difference in the decision to leave the platform at any point during a trial (<italic>p</italic>&#x202F;=&#x202F;0.124; <xref ref-type="supplementary-material" rid="SM1">Supplementary Table 3</xref>). However, the second part of the model (beta), analyzing the trials where animals actually left the platform, revealed a significant main effect of sex, with males spending less time on the platform than females (<italic>&#x03B2;</italic>&#x202F;=&#x202F;&#x2212;0.30, <italic>z</italic> =&#x202F;&#x2212;2.44, <italic>p</italic>&#x202F;=&#x202F;0.015; <xref ref-type="fig" rid="fig3">Figure 3C</xref>; <xref ref-type="supplementary-material" rid="SM1">Supplementary Table 4</xref>). Avoidance in this cohort was also significantly increased by SH (<italic>&#x03B2;</italic>&#x202F;=&#x202F;0.68, <italic>z</italic> =&#x202F;9.43, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001) and day (<italic>&#x03B2;</italic>&#x202F;=&#x202F;0.27, <italic>z</italic> =&#x202F;2.11, <italic>p</italic>&#x202F;=&#x202F;0.035), while being significantly decreased by being in a later trial (<italic>&#x03B2;</italic>&#x202F;=&#x202F;&#x2212;0.33, <italic>z</italic> =&#x202F;&#x2212;3.22, <italic>p</italic>&#x202F;=&#x202F;0.001) or having a heavier weight (<italic>&#x03B2;</italic>&#x202F;=&#x202F;&#x2212;0.54, <italic>z</italic> =&#x202F;&#x2212;4.33, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001).</p>
</sec>
<sec id="sec22">
<title>Latency to safety</title>
<p>The Gamma GLMM revealed a significant main effect of sex, with males exhibiting longer latencies to reach the platform compared to females (<italic>&#x03B2;</italic>&#x202F;=&#x202F;0.16, <italic>z</italic> =&#x202F;2.11, <italic>p</italic> =&#x202F;0.035; <xref ref-type="fig" rid="fig3">Figure 3E</xref>; <xref ref-type="supplementary-material" rid="SM1">Supplementary Table 5</xref>). This effect persisted after controlling for body weight (<italic>&#x03B2;</italic>&#x202F;=&#x202F;0.32, <italic>z</italic> =&#x202F;3.72, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001), which was a significant positive predictor. Latency was also significantly reduced by SH (<italic>&#x03B2;</italic>&#x202F;=&#x202F;&#x2212;0.38, <italic>z</italic> =&#x202F;&#x2212;9.74, <italic>p</italic> &#x003C;&#x202F;0.001) and day (<italic>&#x03B2;</italic> =&#x202F;&#x2212;0.18, <italic>z</italic> =&#x202F;&#x2212;2.64, <italic>p</italic>&#x202F;=&#x202F;0.008). Conversely, latency increased later in the session (Trial: <italic>&#x03B2;</italic> =&#x202F;0.25, <italic>z</italic> =&#x202F;4.26, <italic>p</italic> &#x003C;&#x202F;0.001).</p>
</sec>
<sec id="sec23">
<title>Reward attentiveness</title>
<p>The beta GLMM for reward attentiveness revealed a significant main effect of sex. Males were significantly more attentive to the reward zone than females (<italic>&#x03B2;</italic>&#x202F;=&#x202F;0.42, <italic>z</italic> =&#x202F;2.40, <italic>p</italic>&#x202F;=&#x202F;0.016; <xref ref-type="fig" rid="fig3">Figure 3G</xref>, <xref ref-type="supplementary-material" rid="SM1">Supplementary Table 6</xref>). Reward attentiveness was also significantly influenced by the handler (H2 vs. H1: <italic>&#x03B2;</italic>&#x202F;=&#x202F;0.17, <italic>z</italic> =&#x202F;2.16, <italic>p</italic>&#x202F;=&#x202F;0.031) and reduced by SH (<italic>&#x03B2;</italic> =&#x202F;&#x2212;0.27, <italic>z</italic> =&#x202F;&#x2212;4.56, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001).</p>
<p>We then pre-registered these findings as predictions for a replication analysis, powered to detect the effect sizes observed in Cohort 1.</p>
</sec>
</sec>
<sec id="sec24">
<title>Cohort 2</title>
<sec id="sec25">
<title>Reward-seeking behavior</title>
<p>The ZINB model revealed a significant main effect of sex, with males exhibiting a higher rate of bar pressing than females (<italic>&#x03B2;</italic>&#x202F;=&#x202F;0.44, <italic>z</italic> =&#x202F;2.74, <italic>p</italic>&#x202F;=&#x202F;0.006; <xref ref-type="fig" rid="fig3">Figure 3B</xref>, <xref ref-type="supplementary-material" rid="SM1">Supplementary Table 1</xref>), i.e., directionally the same as Cohort 1 but achieving significance in this larger sample. Similar to the first cohort, SH significantly reduced bar pressing (<italic>&#x03B2;</italic>&#x202F;=&#x202F;&#x2212;0.15, <italic>z</italic> =&#x202F;&#x2212;4.59, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001). Additionally, bar pressing was significantly higher for both handling groups H2 and H3 compared to the reference (H2 vs. H1: <italic>&#x03B2;</italic> =&#x202F;0.10, <italic>z</italic> =&#x202F;3.56, <italic>p</italic> &#x003C;&#x202F;0.001; H3 vs. H1: <italic>&#x03B2;</italic> =&#x202F;0.10, <italic>z</italic> =&#x202F;2.16, <italic>p</italic> =&#x202F;0.031) and increased over days (<italic>&#x03B2;</italic> =&#x202F;0.14, <italic>z</italic> =&#x202F;2.34, <italic>p</italic>&#x202F;=&#x202F;0.019). The model also revealed a significant sex-day interaction (<italic>&#x03B2;</italic> =&#x202F;&#x2212;0.15, <italic>z</italic> =&#x202F;&#x2212;1.97, <italic>p</italic>&#x202F;=&#x202F;0.049) which was not observed in Cohort 1. The zero-inflation part of the model also replicated the first cohort&#x2019;s finding that SH significantly increased the probability of a complete lack of reward-seeking on the subsequent trial (<italic>&#x03B2;</italic> =&#x202F;0.73, <italic>z</italic> =&#x202F;3.08, <italic>p</italic>&#x202F;=&#x202F;0.002; <xref ref-type="supplementary-material" rid="SM1">Supplementary Table 2</xref>), but did not replicate the significant effect of day (<italic>p</italic>&#x202F;=&#x202F;0.759).</p>
</sec>
<sec id="sec26">
<title>Avoidance behavior</title>
<p>The hurdle model again revealed no significant sex difference in the decision to leave the platform (<italic>p</italic>&#x202F;=&#x202F;0.888; <xref ref-type="supplementary-material" rid="SM1">Supplementary Table 3</xref>). However, SH was a significant predictor (<italic>&#x03B2;</italic>&#x202F;=&#x202F;0.66, <italic>z</italic> =&#x202F;2.28, <italic>p</italic>&#x202F;=&#x202F;0.023). The second part of the model (beta regression) confirmed the significant main effect of sex, (<italic>&#x03B2;</italic>&#x202F;=&#x202F;&#x2212;0.60, <italic>z</italic> =&#x202F;&#x2212;2.16, <italic>p</italic> =&#x202F;0.031; <xref ref-type="fig" rid="fig3">Figure 3D</xref>; <xref ref-type="supplementary-material" rid="SM1">Supplementary Table 4</xref>). Avoidance was also predicted by SH (<italic>&#x03B2;</italic> =&#x202F;0.47, <italic>z</italic> =&#x202F;7.59, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001), day (<italic>&#x03B2;</italic> =&#x202F;&#x2212;0.40, <italic>z</italic> =&#x202F;&#x2212;4.03, <italic>p</italic> &#x003C;&#x202F;0.001), and trial number (<italic>&#x03B2;</italic>&#x202F;=&#x202F;&#x2212;0.44, <italic>z</italic> =&#x202F;&#x2212;5.14, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001), but the effect of weight did not replicate (<italic>p</italic>&#x202F;=&#x202F;0.364). Additionally, handling group H2 showed significantly reduced avoidance (H2 vs. H1: <italic>&#x03B2;</italic>&#x202F;=&#x202F;&#x2212;0.16, <italic>z</italic> =&#x202F;&#x2212;2.90, <italic>p</italic>&#x202F;=&#x202F;0.004). A significant sex-day interaction was also found (<italic>&#x03B2;</italic> =&#x202F;0.38, <italic>z</italic> =&#x202F;2.63, <italic>p</italic> =&#x202F;0.008).</p>
<sec id="sec27">
<title>Latency to safety</title>
<p>The Gamma GLMM again revealed a significant main effect of sex, with males taking significantly longer to reach safety than females (<italic>&#x03B2;</italic>&#x202F;=&#x202F;0.36, <italic>z</italic> =&#x202F;2.17, <italic>p</italic>&#x202F;=&#x202F;0.030; <xref ref-type="fig" rid="fig3">Figure 3E</xref>, <xref ref-type="supplementary-material" rid="SM1">Supplementary Table 5</xref>). Unlike the first cohort, weight was not a significant predictor in this model (<italic>p</italic>&#x202F;=&#x202F;0.497). Consistent with Cohort 1, SH significantly reduced latency (<italic>&#x03B2;</italic>&#x202F;=&#x202F;&#x2212;0.23, <italic>z</italic> =&#x202F;&#x2212;6.31, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001), while later trials increased latency (<italic>&#x03B2;</italic> =&#x202F;0.26, <italic>z</italic> =&#x202F;5.03, <italic>p</italic> &#x003C;&#x202F;0.001). The model also identified a significant sex-day interaction (<italic>&#x03B2;</italic> =&#x202F;&#x2212;0.32, <italic>z</italic> =&#x202F;&#x2212;3.70, <italic>p</italic> &#x003C;&#x202F;0.001) and a main effect of day (<italic>&#x03B2;</italic> =&#x202F;0.32, <italic>z</italic> =&#x202F;5.34, <italic>p</italic> &#x003C;&#x202F;0.001).</p>
</sec>
<sec id="sec28">
<title>Reward attentiveness</title>
<p>In contrast to the first cohort where a significant sex difference was found, the beta GLMM for reward attentiveness in the replication cohort did not show a significant main effect of sex (<italic>p</italic>&#x202F;=&#x202F;0.502; <xref ref-type="fig" rid="fig3">Figure 3H</xref>; <xref ref-type="supplementary-material" rid="SM1">Supplementary Table 6</xref>). However, consistent with Cohort 1, attentiveness was significantly reduced by SH (<italic>&#x03B2;</italic>&#x202F;=&#x202F;&#x2212;0.50, <italic>z</italic> =&#x202F;&#x2212;9.33, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001). Additionally, both handling groups exhibited significantly higher attentiveness compared to the reference (H2 vs. H1: <italic>&#x03B2;</italic> =&#x202F;0.19, <italic>z</italic> =&#x202F;3.95, <italic>p</italic> &#x003C;&#x202F;0.001; H3 vs. H1: <italic>&#x03B2;</italic> =&#x202F;0.19, <italic>z</italic> =&#x202F;2.36, <italic>p</italic>&#x202F;=&#x202F;0.018).</p>
<p>The cross-cohort comparisons of our findings is summarized in <xref ref-type="fig" rid="fig4">Figures 4</xref>&#x2013;<xref ref-type="fig" rid="fig7">7</xref> and detailed in <xref ref-type="supplementary-material" rid="SM1">Supplementary Tables 1&#x2013;6</xref>, which compare the model predictors for bar pressing, avoidance behavior, platform latency, and reward attentiveness between cohorts. The most replicable predictor was Shock History (having been shocked earlier in that session), but sex effects replicated, particularly for time on platform.</p>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption>
<p>Comparison of predictors for bar pressing across cohorts. Forest plots display incidence rate ratios (IRRs) with 95% CI from the conditional count component of the zero-inflated negative binomial (ZINB) GLMMs for Cohort 1 (left) and Cohort 2 (right). IRRs represent the multiplicative effect of each predictor on the rate of bar pressing; values greater than 1 (blue) indicate a positive association, while values less than 1 (red) indicate a negative one. Predictors include: Sex (male vs. female reference), Day (session day), Tone (trial number), Handler2/3 (handler identity), shock history (prior shock that day), and Weight (<italic>z</italic>-scored body weight), as well as the Sex: Day interaction. Significant predictors with consistent directionality across cohorts are shown in bold. <italic>&#x002A;p</italic>&#x202F;&#x003C;&#x202F;0.05, &#x002A;&#x002A;<italic>p</italic>&#x202F;&#x003C;&#x202F;0.01, &#x002A;&#x002A;&#x002A;<italic>p</italic>&#x202F;&#x003C;&#x202F;0.001.</p>
</caption>
<graphic xlink:href="fnbeh-20-1758605-g004.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Two-panel forest plot showing incidence rate ratios (IRR) from ZINB models predicting bar presses during stable phase. Blue indicates increased pressing; red indicates decreased. Cohort 1: Shock History significantly reduced pressing (IRR=0.72&#x002A;); Weight (IRR=1.29&#x002A;) and Handler 3 (IRR=1.13&#x002A;) increased pressing; Sex showed non-significant trend (IRR=1.16). Cohort 2: Sex was significant (IRR=1.56&#x002A;), indicating males pressed 56% more. Shock History again reduced pressing (IRR=0.86&#x002A;). Day, Handler 2, and Handler 3 were significant positive predictors. Sex &#x00D7; Day interaction (IRR=0.85&#x002A;) indicated diminishing sex differences over days.</alt-text>
</graphic>
</fig>
<fig position="float" id="fig5">
<label>Figure 5</label>
<caption>
<p>Comparison of predictors for avoidance behavior across cohorts. Forest plots display odds ratios (ORs) with 95% confidence intervals from the Beta component of the avoidance GLMMs for Cohort 1 (left) and Cohort 2 (right). ORs greater than 1 (blue) are associated with more time on the platform, while values less than 1 (red) are associated with less. The vertical line at 1 represents no effect. Significant predictors with consistent directionality across cohorts are shown in bold. &#x002A;<italic>p</italic> &#x003C;&#x202F;0.05, &#x002A;&#x002A;<italic>p</italic> &#x003C;&#x202F;0.01, &#x002A;&#x002A;&#x002A;<italic>p</italic> &#x003C;&#x202F;0.001.</p>
</caption>
<graphic xlink:href="fnbeh-20-1758605-g005.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Two-panel forest plot showing odds ratios (OR) from hurdle-beta models predicting platform time during stable phase. Blue indicates increased platform time; red indicates decreased. Cohort 1: Sex was significant (OR=0.74&#x002A;), with males spending less time on platform. Shock History strongly increased platform time (OR=1.97&#x002A;); Trial (OR=0.72&#x002A;) and Weight (OR=0.59&#x002A;) decreased it. Cohort 2: Sex effect replicated (OR=0.55&#x002A;). Shock History (OR=1.61&#x002A;) and Trial (OR=0.65&#x002A;) remained consistent predictors. Sex &#x00D7; Day interaction (OR=1.47&#x002A;) indicated diminishing sex differences. Sex, Shock History, and Trial were consistent across cohorts.</alt-text>
</graphic>
</fig>
<fig position="float" id="fig6">
<label>Figure 6</label>
<caption>
<p>Comparison of predictors for latency to platform. Forest plot displaying exponentiated coefficients (multiplicative effects) and 95% confidence intervals from gamma GLMMs for cohort 1 (left) and cohort 2 (right). Values greater than 1 (blue) indicate increased latency to reach the safety platform; values less than 1 (red) indicate decreased latency. Predictors significant in both cohorts with consistent directionality are displayed in bold. Asterisks denote significance levels: &#x002A;<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05, &#x002A;&#x002A;<italic>p</italic> &#x003C;&#x202F;0.01, &#x002A;&#x002A;&#x002A;<italic>p</italic> &#x003C;&#x202F;0.001.</p>
</caption>
<graphic xlink:href="fnbeh-20-1758605-g006.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Two-panel forest plot showing multiplicative effects from Gamma GLMMs predicting latency to reach the safety platform. Blue indicates increased latency; red indicates decreased. Cohort 1: Males took 18% longer (Exp(Beta)=1.18&#x002A;). Shock History decreased latency (0.68&#x002A;); Trial (1.28&#x002A;) and Weight (1.37&#x002A;) increased it. Cohort 2: Sex effect replicated and strengthened (1.44&#x002A;), with males taking 44% longer. Shock History (0.79&#x002A;) and Trial (1.30&#x002A;) remained consistent. Sex &#x00D7; Day interaction (0.73&#x002A;) indicated diminishing sex differences over days. Sex, Shock History, and Trial were consistent predictors across cohorts.</alt-text>
</graphic>
</fig>
<fig position="float" id="fig7">
<label>Figure 7</label>
<caption>
<p>Comparison of predictors for reward attentiveness across cohorts. Forest plots display odds ratios (ORs) with 95% confidence intervals from the Beta GLMMs for cohort 1 (left) and cohort 2 (right). ORs greater than 1 (blue) indicate a positive association with attentiveness, while values less than 1 (red) indicate a negative association. The vertical line at 1 represents no effect. Significant predictors with consistent directionality across cohorts are shown in bold. &#x002A;<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05, &#x002A;&#x002A;<italic>p</italic>&#x202F;&#x003C;&#x202F;0.01, &#x002A;&#x002A;&#x002A;<italic>p</italic>&#x202F;&#x003C;&#x202F;0.001.</p>
</caption>
<graphic xlink:href="fnbeh-20-1758605-g007.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Two-panel forest plot showing odds ratios from beta GLMMs predicting reward attentiveness during stable phase. Blue indicates increased attentiveness; red indicates decreased. Cohort 1: Sex was significant (OR=1.52&#x002A;), with males ~52% more attentive. Shock History decreased attentiveness (OR=0.76&#x002A;); Handler 2 showed modest effect (OR=1.19&#x002A;). Cohort 2: Sex effect did not replicate (OR=1.25, non-significant). Shock History remained robust (OR=0.60&#x002A;); Handler 2 (OR=1.21&#x002A;) and Handler 3 (OR=1.20&#x002A;) increased attentiveness. Shock History was the only consistent predictor; the sex effect on attentiveness failed to replicate.</alt-text>
</graphic>
</fig>
</sec>
</sec>
</sec>
</sec>
<sec id="sec29">
<title>Estrous cycle analysis</title>
<p>To explore whether avoidance and approach strategies were modulated by hormonal state, we conducted a supplementary analysis on the combined female dataset (n&#x202F;=&#x202F;10) from the stable phase of behavior (days 20&#x2013;25). Behavior was modeled as a function of a binary factor comparing the high-hormone phases (Proestrus/Estrus) against the low-hormone phases (Metestrus/Diestrus).</p>
<sec id="sec30">
<title>Reward-seeking behavior</title>
<p>In the ZINB model, estrous cycle phase (Proestrus/Estrus vs. Metestrus/Diestrus) was not a significant predictor of the number of bar presses (<italic>p</italic>&#x202F;=&#x202F;0.129; <xref ref-type="fig" rid="fig8">Figure 8A</xref>; <xref ref-type="supplementary-material" rid="SM1">Supplementary Table 7</xref>). However, behavior remained sensitive to other variables; bar pressing was significantly reduced by SH (<italic>&#x03B2;</italic>&#x202F;=&#x202F;&#x2212;0.25, <italic>z</italic> =&#x202F;&#x2212;6.39, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001) and increased in handling group H3 (H3 vs. H1: <italic>&#x03B2;</italic> =&#x202F;0.28, <italic>z</italic> =&#x202F;6.01, <italic>p</italic> &#x003C;&#x202F;0.001). In the zero-inflation part of the model, cycle phase did not significantly influence the probability of engaging in reward-seeking (<italic>p</italic>&#x202F;=&#x202F;0.981; <xref ref-type="supplementary-material" rid="SM1">Supplementary Table 8</xref>), but the probability of making zero presses was significantly increased by SH (<italic>&#x03B2;</italic> =&#x202F;0.71, <italic>z</italic> =&#x202F;3.46, <italic>p</italic> &#x003C;&#x202F;0.001), day (<italic>&#x03B2;</italic> =&#x202F;0.69, <italic>z</italic> =&#x202F;2.57, <italic>p</italic>&#x202F;=&#x202F;0.010), and trial number (<italic>&#x03B2;</italic> =&#x202F;0.83, <italic>z</italic> =&#x202F;2.62, <italic>p</italic>&#x202F;=&#x202F;0.009).</p>
<fig position="float" id="fig8">
<label>Figure 8</label>
<caption>
<p>Estrous cycle does not impact stable-phase performance. Comparison of <bold>(A)</bold> bar press count, <bold>(B)</bold> platform time (%), <bold>(C)</bold> latency to platform (s), and <bold>(D)</bold> reward attentiveness (%) between low-hormone (metestrus/diestrus) and high-hormone (proestrus/estrus) states. Data are from the stable phase (days 20&#x2013;25) for all females (<italic>n</italic>&#x202F;=&#x202F;10, combined) and are visualized using violin plots with overlaid boxplots. <italic>p</italic>-values from the GLMM analysis are indicated.</p>
</caption>
<graphic xlink:href="fnbeh-20-1758605-g008.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Four-panel figure comparing behavioral measures between estrous cycle phases in female rats (n=10) during stable phase, using violin plots for low-hormone (Metestrus/Diestrus, blue) and high-hormone (Proestrus/Estrus, yellow) phases. Panel A (Bar Press): No significant difference (p=0.129). Panel B (Platform Time): No significant difference (p=0.278). Panel C (Latency to Platform): No significant difference (p=0.267). Panel D (Reward Attentiveness): No significant difference (p=0.196). Estrous cycle phase did not significantly predict any behavioral measure, though Shock History remained a significant predictor across all models.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec31">
<title>Avoidance behavior</title>
<p>The two-part hurdle-beta model for avoidance revealed no significant effect of estrous cycle phase. In the hurdle component, estrous phase did not influence the decision to remain on the platform (<italic>p</italic>&#x202F;=&#x202F;0.991; <xref ref-type="supplementary-material" rid="SM1">Supplementary Table 9</xref>), which was instead positively associated with both day (<italic>&#x03B2;</italic> =&#x202F;0.83, <italic>z</italic> =&#x202F;2.82, <italic>p</italic>&#x202F;=&#x202F;0.005) and trial number (<italic>&#x03B2;</italic> =&#x202F;1.00, <italic>z</italic> =&#x202F;2.90, <italic>p</italic>&#x202F;=&#x202F;0.004). In the beta component, estrous phase did not influence the time spent avoiding (<italic>p</italic>&#x202F;=&#x202F;0.278; <xref ref-type="fig" rid="fig8">Figure 8B</xref>; <xref ref-type="supplementary-material" rid="SM1">Supplementary Table 10</xref>). This duration was strongly increased by SH (<italic>&#x03B2;</italic> =&#x202F;0.62, <italic>z</italic> =&#x202F;9.02, <italic>p</italic> &#x003C;&#x202F;0.001) and decreased by trial number (<italic>&#x03B2;</italic> =&#x202F;&#x2212;0.34, <italic>z</italic> =&#x202F;&#x2212;3.58, <italic>p</italic> &#x003C;&#x202F;0.001).</p>
</sec>
<sec id="sec32">
<title>Latency to safety</title>
<p>The Gamma GLMM for latency to platform revealed no significant effect of estrous cycle phase (<italic>p</italic>&#x202F;=&#x202F;0.267; <xref ref-type="fig" rid="fig8">Figure 8C</xref>; <xref ref-type="supplementary-material" rid="SM1">Supplementary Table 11</xref>). Latency was, however, significantly modulated by other factors. Consistent with the primary analysis, SH significantly reduced latency to reach safety (<italic>&#x03B2;</italic> =&#x202F;&#x2212;0.37, <italic>z</italic> =&#x202F;&#x2212;8.85, <italic>p</italic> &#x003C;&#x202F;0.001). Latency increased significantly over days (<italic>&#x03B2;</italic> =&#x202F;0.11, <italic>z</italic> =&#x202F;2.37, <italic>p</italic> =&#x202F;0.018) and within sessions as trial number progressed (<italic>&#x03B2;</italic> =&#x202F;0.30, <italic>z</italic> =&#x202F;5.35, <italic>p</italic> &#x003C;&#x202F;0.001). Additionally, handling group H3 showed significantly longer latencies compared to the reference (H3 vs. H1: <italic>&#x03B2;</italic> =&#x202F;0.15, <italic>z</italic> =&#x202F;2.86, <italic>p</italic> =&#x202F;0.004).</p>
</sec>
<sec id="sec33">
<title>Reward attentiveness</title>
<p>In the beta GLMM for reward attentiveness, no significant main effect of estrous cycle phase was found (<italic>p</italic>&#x202F;=&#x202F;0.196; <xref ref-type="fig" rid="fig8">Figure 8D</xref>; <xref ref-type="supplementary-material" rid="SM1">Supplementary Table 12</xref>). However, attentiveness was significantly influenced by other factors; both handling groups H2 (H2 vs. H1: <italic>&#x03B2;</italic> =&#x202F;0.24, <italic>z</italic> =&#x202F;3.80, <italic>p</italic> &#x003C;&#x202F;0.001) and H3 (H3 vs. H1: <italic>&#x03B2;</italic> =&#x202F;0.31, <italic>z</italic> =&#x202F;3.80, <italic>p</italic> &#x003C;&#x202F;0.001) showed increased attentiveness compared to the reference group. As in other models, SH significantly reduced attentiveness (<italic>&#x03B2;</italic> =&#x202F;&#x2212;0.34, <italic>z</italic> =&#x202F;&#x2212;5.78, <italic>p</italic> &#x003C;&#x202F;0.001).</p>
</sec>
</sec>
</sec>
<sec sec-type="discussion" id="sec34">
<title>Discussion</title>
<p>Confirming our initial hypothesis, the present study demonstrated robust and replicable sex differences in resolving approach-avoidance conflict, with females consistently prioritizing safety while males exhibit more persistent reward-seeking. These findings provide evidence for sex-specific behavioral strategies that align with and extend the existing literature on dimorphic threat responses and risk&#x2013;reward preferences. This divergence seems consistent with other tasks where females often adopt stable, risk-averse strategies, while males are more influenced by recent outcomes and less deterred by negative consequences (<xref ref-type="bibr" rid="ref38">Grissom and Reyes, 2019</xref>; <xref ref-type="bibr" rid="ref21">Chen et al., 2021a</xref>; <xref ref-type="bibr" rid="ref37">Grissom et al., 2024</xref>). Interpreting these results requires moving beyond a simple conclusion that females are &#x201C;more responsive&#x201D; to threats. Instead, as <xref ref-type="bibr" rid="ref89">Shansky (2018)</xref> argues, these behavioral divergences likely represent qualitatively different, and potentially adaptive, strategies for navigating high-conflict situations.</p>
<p>A strength of the current study is the inclusion of a pre-registered replication cohort. While the significance of certain model predictors (e.g., body weight, handler) varied between cohorts - likely reflecting the sensitivity of behavioral tasks to environmental fluctuations - the core metrics defining the sexually dimorphic strategies demonstrated robust replicability. Specifically, the &#x201C;safety-first&#x201D; phenotype in females was confirmed across multiple dimensions: females spent significantly more time on the safety platform in both cohorts, males showed higher rates of lever-pressing under threat, and females evacuated the reward zone earlier in the threat window, as indicated by shorter latencies to reach safety. The convergence of these metrics across independent cohorts provides strong evidence that these sex differences reflect stable, biologically based differences in behavioral strategies.</p>
<p>Our results fit within a broader framework of active versus passive defensive behaviors. Preclinical literature consistently shows that when faced with a threat, males often adopt passive, immobile responses like freezing, whereas females tend to engage in active, mobile strategies (<xref ref-type="bibr" rid="ref24">Dalla and Shors, 2009</xref>; <xref ref-type="bibr" rid="ref39">Gruene et al., 2015a</xref>). This active strategy in females has been termed &#x201C;anxioescapic behavior,&#x201D; characterized by movement-based responses, such as darting or escape, rather than simple threat response potentiation (<xref ref-type="bibr" rid="ref88">Shanazz et al., 2022</xref>; <xref ref-type="bibr" rid="ref6">Bangasser and Cuarenta, 2021</xref>). The PMA task is exceptionally well-suited to capture this strategic divergence. By providing an unambiguous safe location, it allows for the expression of an active avoidance response that might be masked in paradigms that rely solely on freezing. The greater time females spent on the platform, therefore, likely reflects the expression of this coping strategy rather than a simple inability to approach the reward.</p>
<p>The high-conflict nature of our paradigm, where rewards were only available under imminent threat, is crucial for revealing these sex-specific priorities. Rather than simply reflecting greater anxiety, this strategic divide may represent a sex difference in decision-making, as females in both human and animal studies show a strong tendency to avoid options associated with frequent negative outcomes (<xref ref-type="bibr" rid="ref96">van den Bos et al., 2013</xref>; <xref ref-type="bibr" rid="ref38">Grissom and Reyes, 2019</xref>). This strategic divide is not unique to PMA and has been observed in other approach-avoidance models. For instance, in the Vogel conflict test, where water-deprived rats are punished with a shock for drinking, females also display greater behavioral inhibition, accepting significantly fewer punished responses than males (<xref ref-type="bibr" rid="ref9">Basso et al., 2011</xref>). This parallel finding reinforces the idea that females, across different types of conflict, adopt a more cautious, safety-prioritized strategy. Notably, <xref ref-type="bibr" rid="ref9">Basso et al. (2011)</xref> also reported a pharmacological dissociation: while classic benzodiazepines were anxiolytic in both sexes, other compounds like SSRIs and buspirone only produced anxiolytic-like effects in males. This pharmacological dissociation provides an important indication: while some core circuits for processing conflict may be shared between sexes, the systems that modulate these circuits and ultimately shape the behavioral strategy seem sexually dimorphic. This suggests that the decision-making process involves both shared and sex-specific aspects of neurocircuitry and circuit functioning, which may be differentially influenced by neuromodulatory systems. It is important to note that the &#x201C;safety-first&#x201D; strategy could partially reflect sex differences in pain sensitivity, as females generally exhibit lower thresholds than males (<xref ref-type="bibr" rid="ref66">Mogil and Bailey, 2010</xref>; <xref ref-type="bibr" rid="ref93">Sorge and Totsch, 2017</xref>).</p>
<p>While our avoidance/approach metrics differed between sexes, reward attentiveness showed no consistent sex difference across cohorts. This suggests that the strategic divergence may not lie in the amount of deliberation itself; both sexes appear to engage in a similar degree of conflict processing, weighing the value of the reward against the imminent threat. The difference, therefore, appears to be in the outcome of this deliberative process. Despite their engagement with the reward, females seem to more consistently suppress the final motor-approach response in favor of a safety-prioritized strategy. This dissociation between deliberation and action strongly supports the hypothesis that males and females adopt qualitatively different strategies for resolving the conflict (<xref ref-type="bibr" rid="ref89">Shansky, 2018</xref>). Thus, the dimorphism observed here may not arise from the assessment of the conflict per se, but rather in the downstream decision-making circuits that translate the output of that assessment into a behavioral choice.</p>
<p>These distinct behavioral strategies likely arise from sexually dimorphic neural and endocrine mechanisms. The work of <xref ref-type="bibr" rid="ref17">Bravo-Rivera et al. (2021)</xref>, which characterized these behavioral phenotypes in rats, offers a potential neural basis for our findings. They demonstrated that an avoidance-preferring strategy, which we observed in females, was associated with heightened activity in the amygdala, a key hub for threat response. Other threat-related behaviors, such as conditioned freezing and escape, have been linked to amygdala and particularly its reciprocal interactions with prefrontal cortex (<xref ref-type="bibr" rid="ref28">Diehl et al., 2024</xref>; <xref ref-type="bibr" rid="ref78">Plas et al., 2024</xref>). Those circuits may also be dimorphic &#x2013; one study suggested that females and males &#x201C;solve&#x201D; extinction learning differently, with females depending less on infralimbic cortex (<xref ref-type="bibr" rid="ref40">Gruene et al., 2015b</xref>). Thus, identifying the neural basis of sexually dimorphic avoidance likely requires simultaneous measurement of multiple structures within the canonical fear circuitry.</p>
<p>Furthermore, gonadal hormones may profoundly shape these circuits. This shaping occurs not only through the immediate influence of circulating hormones in adulthood (activational effects) but also through the permanent organizing of neural pathways during critical developmental periods (organizational effects) (<xref ref-type="bibr" rid="ref63">McCarthy et al., 2012</xref>, <xref ref-type="bibr" rid="ref64">2015</xref>). The influence of high estrogen levels, for instance, on facilitating the extinction of conditioned fear would be an activational effect (<xref ref-type="bibr" rid="ref35">Graham and Milad, 2014</xref>; <xref ref-type="bibr" rid="ref82">Ramikie and Ressler, 2018</xref>). However, findings from <xref ref-type="bibr" rid="ref42">Halcomb et al. (2024)</xref> in a modified PMA task revealed that persistent avoidance in female mice was significantly reduced by a glucocorticoid receptor (GR) antagonist administered during learning. This suggests that GR activation during the acquisition of the threat association, rather than activational effects of circulating gonadal hormones alone, may be a key mechanism that defines and maintains this avoidance strategy in females.</p>
<p>While our study did not find a significant modulation by the estrous cycle in our exploratory analysis, the role of hormonal fluctuations remains an important consideration (<xref ref-type="bibr" rid="ref55">Li and Graham, 2017</xref>). This is consistent with findings from both the modified PMA task (<xref ref-type="bibr" rid="ref42">Halcomb et al., 2024</xref>) and the Vogel test (<xref ref-type="bibr" rid="ref9">Basso et al., 2011</xref>), where the estrous cycle did not influence avoidance behavior. The influence of the estrous cycle can be, however, task-dependent, as <xref ref-type="bibr" rid="ref20">Carvalho et al. (2021)</xref> found it impacted fear-potentiated startle but not conditioned freezing. Together, this suggests that while ovarian hormones are critical for the developmental organization of these sexually dimorphic circuits, the expression of a stable, learned behavioral strategy in a high-conflict task may be less sensitive to acute fluctuations than other measures of fear-like responses. However, it is important to note that our findings characterize the safety-first strategy specifically in nulliparous females. Literature on maternal behavior suggests that lactation and reproductive experience can induce a risk-prone phenotype, potentially to ensure resource acquisition for offspring (<xref ref-type="bibr" rid="ref32">Ferreira et al., 1989</xref>; <xref ref-type="bibr" rid="ref31">Faraji et al., 2024</xref>), suggesting that the safety-prioritization observed here is likely a state-dependent adaptation rather than an inherent sex difference.</p>
<p>A limitation of the current study is that the neurobiological mechanisms underlying these sex-specific strategies were not directly assessed. Future studies incorporating neural recordings and causal manipulations - particularly targeting oscillatory dynamics within amygdala-prefrontal circuitry, which has been implicated in both conflict processing and sexually dimorphic threat responses (<xref ref-type="bibr" rid="ref40">Gruene et al., 2015b</xref>; <xref ref-type="bibr" rid="ref17">Bravo-Rivera et al., 2021</xref>; <xref ref-type="bibr" rid="ref94">Totty and Maren, 2022</xref>) - will be necessary to validate the proposed mechanisms and enhance translational relevance. A consideration inherent to conflict paradigms is that multiple decision-making components are integrated within the task, and the current design does not permit complete dissociation of all underlying processes. Nevertheless, our data suggest that the sex difference emerges specifically under conflict: males and females showed equivalent reward-seeking during the non-conflict Light Cue phase, similar reward attentiveness, and the statistical modeling revealed that sex predicts for how long animals will endure rather than whether they approach. Future studies utilizing shock titration to equate subjective cost across subjects, progressive ratio schedules, or sucrose preference assays could further isolate the specific contributions of punishment sensitivity, reward valuation, and risk tolerance.</p>
<p>In conclusion, we show that male and female rats employ fundamentally different strategies to resolve approach-avoidance conflict. Females adopt a safety-first strategy, consistent with a more active coping style that seems more resistant to change. Males, in contrast, employ a risk-prone, reward-oriented strategy. The translational importance of these findings is significant. The persistent avoidance shown by females mirrors a core clinical feature of anxiety and trauma-related disorders that is often a primary target for intervention. Understanding the distinct neurobiological pathways and mechanisms that support these strategies is a critical step toward developing more effective, personalized treatments. While acknowledging challenges in translating circuit-level findings across species (<xref ref-type="bibr" rid="ref26">de Oliveira et al., 2021</xref>) the next critical step is to characterize how this circuit activity differs between sexes. This characterization may provide the necessary biomarkers for developing targeted neuromodulation therapies, such as deep brain stimulation, to ameliorate persistent avoidance.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec35">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec sec-type="ethics-statement" id="sec36">
<title>Ethics statement</title>
<p>The animal study was approved by the University of Minnesota Institutional Animal Care and Use Committee. The study was conducted in accordance with the local legislation and institutional requirements.</p>
</sec>
<sec sec-type="author-contributions" id="sec37">
<title>Author contributions</title>
<p>AR: Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing, Formal analysis, Software, Validation, Data curation, Methodology, Visualization. CL: Visualization, Validation, Formal analysis, Writing &#x2013; review &#x0026; editing, Investigation, Methodology, Data curation, Writing &#x2013; original draft, Supervision, Software. SH: Formal analysis, Writing &#x2013; original draft, Investigation, Methodology, Software, Writing &#x2013; review &#x0026; editing. DP: Methodology, Writing &#x2013; review &#x0026; editing, Writing &#x2013; original draft, Investigation, Formal analysis, Validation, Data curation. JC: Writing &#x2013; review &#x0026; editing, Writing &#x2013; original draft, Methodology. MA: Writing &#x2013; original draft, Investigation, Writing &#x2013; review &#x0026; editing. ED-v: Methodology, Software, Writing &#x2013; review &#x0026; editing, Writing &#x2013; original draft. AW: Conceptualization, Supervision, Funding acquisition, Writing &#x2013; review &#x0026; editing, Writing &#x2013; original draft, Project administration, Resources, Validation.</p>
</sec>
<sec sec-type="COI-statement" id="sec38">
<title>Conflict of interest</title>
<p>The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="sec39">
<title>Generative AI statement</title>
<p>The author(s) declared that Generative AI was not used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec sec-type="disclaimer" id="sec40">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec sec-type="supplementary-material" id="sec41">
<title>Supplementary material</title>
<p>The Supplementary material for this article can be found online at: <ext-link xlink:href="https://www.frontiersin.org/articles/10.3389/fnbeh.2026.1758605/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fnbeh.2026.1758605/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Table_1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
<ref-list>
<title>References</title>
<ref id="ref1"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Afzali</surname><given-names>M. H.</given-names></name> <name><surname>Sunderland</surname><given-names>M.</given-names></name> <name><surname>Teesson</surname><given-names>M.</given-names></name> <name><surname>Carragher</surname><given-names>N.</given-names></name> <name><surname>Mills</surname><given-names>K.</given-names></name> <name><surname>Slade</surname><given-names>T.</given-names></name></person-group> (<year>2017</year>). <article-title>A network approach to the comorbidity between posttraumatic stress disorder and major depressive disorder: the role of overlapping symptoms</article-title>. <source>J. Affect. Disord.</source> <volume>208</volume>, <fpage>490</fpage>&#x2013;<lpage>496</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jad.2016.10.037</pub-id></mixed-citation></ref>
<ref id="ref2"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ahlmann-Eltze</surname><given-names>C.</given-names></name> <name><surname>Patil</surname><given-names>I.</given-names></name></person-group> (<year>2021</year>). <article-title>Ggsignif: R package for displaying significance brackets for &#x2018;ggplot2&#x2019;</article-title>. <source><italic>PsyArXiv</italic> [Preprint].</source> doi: <pub-id pub-id-type="doi">10.31234/osf.io/7awm6</pub-id></mixed-citation></ref>
<ref id="ref3"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Aupperle</surname><given-names>R. L.</given-names></name> <name><surname>Melrose</surname><given-names>A. J.</given-names></name> <name><surname>Francisco</surname><given-names>A.</given-names></name> <name><surname>Paulus</surname><given-names>M. P.</given-names></name> <name><surname>Stein</surname><given-names>M. B.</given-names></name></person-group> (<year>2015</year>). <article-title>Neural substrates of approach-avoidance conflict decision-making</article-title>. <source>Hum. Brain Mapp.</source> <volume>36</volume>, <fpage>449</fpage>&#x2013;<lpage>462</lpage>. doi: <pub-id pub-id-type="doi">10.1002/hbm.22639</pub-id></mixed-citation></ref>
<ref id="ref4"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Aupperle</surname><given-names>R. L.</given-names></name> <name><surname>Paulus</surname><given-names>M. P.</given-names></name></person-group> (<year>2010</year>). <article-title>Neural systems underlying approach and avoidance in anxiety disorders</article-title>. <source>Dialogues Clin. Neurosci.</source> <volume>12</volume>, <fpage>517</fpage>&#x2013;<lpage>531</lpage>. doi: <pub-id pub-id-type="doi">10.31887/DCNS.2010.12.4/raupperle</pub-id></mixed-citation></ref>
<ref id="ref5"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ball</surname><given-names>T. M.</given-names></name> <name><surname>Gunaydin</surname><given-names>L. A.</given-names></name></person-group> (<year>2022</year>). <article-title>Measuring maladaptive avoidance: from animal models to clinical anxiety</article-title>. <source>Neuropsychopharmacology</source> <volume>47</volume>, <fpage>978</fpage>&#x2013;<lpage>986</lpage>. doi: <pub-id pub-id-type="doi">10.1038/s41386-021-01263-4</pub-id></mixed-citation></ref>
<ref id="ref6"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Bangasser</surname><given-names>D. A.</given-names></name> <name><surname>Cuarenta</surname><given-names>A.</given-names></name></person-group> (<year>2021</year>). <article-title>Sex differences in anxiety and depression: circuits and mechanisms</article-title>. <source>Nat. Rev. Neurosci.</source> <volume>22</volume>, <fpage>674</fpage>&#x2013;<lpage>684</lpage>. doi: <pub-id pub-id-type="doi">10.1038/s41583-021-00513-0</pub-id></mixed-citation></ref>
<ref id="ref7"><mixed-citation publication-type="book"><person-group person-group-type="author"><name><surname>Barlow</surname><given-names>D. H.</given-names></name></person-group> (<year>2008</year>). <source>Clinical handbook of psychological disorders: A step-by-step treatment manual</source>. <publisher-loc>New York, NY</publisher-loc>: <publisher-name>Guilford Publications</publisher-name>.</mixed-citation></ref>
<ref id="ref8"><mixed-citation publication-type="other"><person-group person-group-type="author"><name><surname>Barrett</surname><given-names>T.</given-names></name> <name><surname>Dowle</surname><given-names>M.</given-names></name> <name><surname>Srinivasan</surname><given-names>A.</given-names></name> <name><surname>Gorecki</surname><given-names>J.</given-names></name> <name><surname>Chirico</surname><given-names>M.</given-names></name> <name><surname>Hocking</surname><given-names>T.</given-names></name> <etal/></person-group>. (<year>2025</year>). <article-title>Data.Table: extension of &#x2018;data.Frame&#x2019;</article-title>. Available online at:  <ext-link xlink:href="https://cran.r-project.org/web/packages/data.table/index.html" ext-link-type="uri">https://cran.r-project.org/web/packages/data.table/index.html</ext-link> (Accessed September 13, 2025).</mixed-citation></ref>
<ref id="ref9"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Basso</surname><given-names>A. M.</given-names></name> <name><surname>Gallagher</surname><given-names>K. B.</given-names></name> <name><surname>Mikusa</surname><given-names>J. P.</given-names></name> <name><surname>Rueter</surname><given-names>L. E.</given-names></name></person-group> (<year>2011</year>). <article-title>Vogel conflict test: sex differences and pharmacological validation of the model</article-title>. <source>Behav. Brain Res.</source> <volume>218</volume>, <fpage>174</fpage>&#x2013;<lpage>183</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.bbr.2010.11.041</pub-id></mixed-citation></ref>
<ref id="ref10"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Bates</surname><given-names>D.</given-names></name> <name><surname>M&#x00E4;chler</surname><given-names>M.</given-names></name> <name><surname>Bolker</surname><given-names>B.</given-names></name> <name><surname>Walker</surname><given-names>S.</given-names></name></person-group> (<year>2015</year>). <article-title>Fitting linear mixed-effects models using lme4</article-title>. <source>J. Stat. Softw.</source> <volume>67</volume>, <fpage>1</fpage>&#x2013;<lpage>48</lpage>. doi: <pub-id pub-id-type="doi">10.18637/jss.v067.i01</pub-id></mixed-citation></ref>
<ref id="ref11"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Beery</surname><given-names>A. K.</given-names></name> <name><surname>Zucker</surname><given-names>I.</given-names></name></person-group> (<year>2011</year>). <article-title>Sex bias in neuroscience and biomedical research</article-title>. <source>Neurosci. Biobehav. Rev.</source> <volume>35</volume>, <fpage>565</fpage>&#x2013;<lpage>572</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.neubiorev.2010.07.002</pub-id></mixed-citation></ref>
<ref id="ref12"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Bienvenu</surname><given-names>T. C. M.</given-names></name> <name><surname>Dejean</surname><given-names>C.</given-names></name> <name><surname>Jercog</surname><given-names>D.</given-names></name> <name><surname>Aouizerate</surname><given-names>B.</given-names></name> <name><surname>Lemoine</surname><given-names>M.</given-names></name> <name><surname>Herry</surname><given-names>C.</given-names></name></person-group> (<year>2021</year>). <article-title>The advent of fear conditioning as an animal model of post-traumatic stress disorder: learning from the past to shape the future of PTSD research</article-title>. <source>Neuron</source> <volume>109</volume>, <fpage>2380</fpage>&#x2013;<lpage>2397</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.neuron.2021.05.017</pub-id></mixed-citation></ref>
<ref id="ref13"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Blakey</surname><given-names>S. M.</given-names></name> <name><surname>Abramowitz</surname><given-names>J. S.</given-names></name></person-group> (<year>2016</year>). <article-title>The effects of safety behaviors during exposure therapy for anxiety: critical analysis from an inhibitory learning perspective</article-title>. <source>Clin. Psychol. Rev.</source> <volume>49</volume>, <fpage>1</fpage>&#x2013;<lpage>15</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.cpr.2016.07.002</pub-id></mixed-citation></ref>
<ref id="ref14"><mixed-citation publication-type="other"><person-group person-group-type="author"><name><surname>Bolker</surname><given-names>B.</given-names></name> <name><surname>Robinson</surname><given-names>D.</given-names></name></person-group> (<year>2024</year>). <article-title>Broom.Mixed: tidying methods for mixed models</article-title>. Available online at:  <ext-link xlink:href="https://cran.r-project.org/web/packages/broom.mixed/index.html" ext-link-type="uri">https://cran.r-project.org/web/packages/broom.mixed/index.html</ext-link> (Accessed September 13, 2025).</mixed-citation></ref>
<ref id="ref15"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Bolker</surname><given-names>B. M.</given-names></name> <name><surname>Brooks</surname><given-names>M. E.</given-names></name> <name><surname>Clark</surname><given-names>C. J.</given-names></name> <name><surname>Geange</surname><given-names>S. W.</given-names></name> <name><surname>Poulsen</surname><given-names>J. R.</given-names></name> <name><surname>Stevens</surname><given-names>M. H. H.</given-names></name> <etal/></person-group>. (<year>2009</year>). <article-title>Generalized linear mixed models: a practical guide for ecology and evolution</article-title>. <source>Trends Ecol. Evol.</source> <volume>24</volume>, <fpage>127</fpage>&#x2013;<lpage>135</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.tree.2008.10.008</pub-id></mixed-citation></ref>
<ref id="ref16"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Bravo-Rivera</surname><given-names>C.</given-names></name> <name><surname>Roman-Ortiz</surname><given-names>C.</given-names></name> <name><surname>Brignoni-Perez</surname><given-names>E.</given-names></name> <name><surname>Sotres-Bayon</surname><given-names>F.</given-names></name> <name><surname>Quirk</surname><given-names>G. J.</given-names></name></person-group> (<year>2014</year>). <article-title>Neural structures mediating expression and extinction of platform-mediated avoidance</article-title>. <source>J. Neurosci.</source> <volume>34</volume>, <fpage>9736</fpage>&#x2013;<lpage>9742</lpage>. doi: <pub-id pub-id-type="doi">10.1523/JNEUROSCI.0191-14.2014</pub-id></mixed-citation></ref>
<ref id="ref17"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Bravo-Rivera</surname><given-names>H.</given-names></name> <name><surname>Rubio Arzola</surname><given-names>P.</given-names></name> <name><surname>Caban-Murillo</surname><given-names>A.</given-names></name> <name><surname>V&#x00E9;lez-Avil&#x00E9;s</surname><given-names>A. N.</given-names></name> <name><surname>Ayala-Rosario</surname><given-names>S. N.</given-names></name> <name><surname>Quirk</surname><given-names>G. J.</given-names></name></person-group> (<year>2021</year>). <article-title>Characterizing different strategies for resolving approach-avoidance conflict</article-title>. <source>Front. Neurosci.</source> <volume>15</volume>:<fpage>608922</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fnins.2021.608922</pub-id></mixed-citation></ref>
<ref id="ref18"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Brooks</surname><given-names>M. E.</given-names></name> <name><surname>Kristensen</surname><given-names>K.</given-names></name> <name><surname>van Benthem</surname><given-names>K. J.</given-names></name> <name><surname>Magnusson</surname><given-names>A.</given-names></name> <name><surname>Berg</surname><given-names>C. W.</given-names></name> <name><surname>Nielsen</surname><given-names>A.</given-names></name> <etal/></person-group>. (<year>2017</year>). <article-title>glmmTMB balances speed and flexibility among packages for zero-inflated generalized linear mixed modeling</article-title>. <source>R J.</source> <volume>9</volume>, <fpage>378</fpage>&#x2013;<lpage>400</lpage>. doi: <pub-id pub-id-type="doi">10.32614/rj-2017-066</pub-id></mixed-citation></ref>
<ref id="ref19"><mixed-citation publication-type="other"><person-group person-group-type="author"><name><surname>Campitelli</surname><given-names>E.</given-names></name></person-group> (<year>2025</year>). <source>Ggnewscale: Multiple fill and colour scales in &#x2018;ggplot2&#x2019;</source>. Available online at: <ext-link xlink:href="https://cran.r-project.org/web/packages/ggnewscale/index.html" ext-link-type="uri">https://cran.r-project.org/web/packages/ggnewscale/index.html</ext-link> (Accessed September 13, 2025).</mixed-citation></ref>
<ref id="ref20"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Carvalho</surname><given-names>M. C.</given-names></name> <name><surname>Genaro</surname><given-names>K.</given-names></name> <name><surname>Leite-Panissi</surname><given-names>C. R. A.</given-names></name> <name><surname>Lovick</surname><given-names>T. A.</given-names></name></person-group> (<year>2021</year>). <article-title>Influence of estrous cycle stage on acquisition and expression of fear conditioning in female rats</article-title>. <source>Physiol. Behav.</source> <volume>234</volume>:<fpage>113372</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.physbeh.2021.113372</pub-id></mixed-citation></ref>
<ref id="ref21"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Chen</surname><given-names>C. S.</given-names></name> <name><surname>Ebitz</surname><given-names>R. B.</given-names></name> <name><surname>Bindas</surname><given-names>S. R.</given-names></name> <name><surname>Redish</surname><given-names>A. D.</given-names></name> <name><surname>Hayden</surname><given-names>B. Y.</given-names></name> <name><surname>Grissom</surname><given-names>N. M.</given-names></name></person-group> (<year>2021a</year>). <article-title>Divergent strategies for learning in males and females</article-title>. <source>Curr. Biol.</source> <volume>31</volume>, <fpage>39</fpage>&#x2013;<lpage>50.e4</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.cub.2020.09.075</pub-id></mixed-citation></ref>
<ref id="ref22"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Chen</surname><given-names>C. S.</given-names></name> <name><surname>Knep</surname><given-names>E.</given-names></name> <name><surname>Han</surname><given-names>A.</given-names></name> <name><surname>Ebitz</surname><given-names>R. B.</given-names></name> <name><surname>Grissom</surname><given-names>N. M.</given-names></name></person-group> (<year>2021b</year>). <article-title>Sex differences in learning from exploration</article-title>. <source>eLife</source> <volume>10</volume>:<fpage>e69748</fpage>. doi: <pub-id pub-id-type="doi">10.7554/eLife.69748</pub-id></mixed-citation></ref>
<ref id="ref23"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Cora</surname><given-names>M. C.</given-names></name> <name><surname>Kooistra</surname><given-names>L.</given-names></name> <name><surname>Travlos</surname><given-names>G.</given-names></name></person-group> (<year>2015</year>). <article-title>Vaginal cytology of the laboratory rat and mouse: review and criteria for the staging of the estrous cycle using stained vaginal smears</article-title>. <source>Toxicol. Pathol.</source> <volume>43</volume>, <fpage>776</fpage>&#x2013;<lpage>793</lpage>. doi: <pub-id pub-id-type="doi">10.1177/0192623315570339</pub-id></mixed-citation></ref>
<ref id="ref24"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Dalla</surname><given-names>C.</given-names></name> <name><surname>Shors</surname><given-names>T. J.</given-names></name></person-group> (<year>2009</year>). <article-title>Sex differences in learning processes of classical and operant conditioning</article-title>. <source>Physiol. Behav.</source> <volume>97</volume>, <fpage>229</fpage>&#x2013;<lpage>238</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.physbeh.2009.02.035</pub-id></mixed-citation></ref>
<ref id="ref25"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Day</surname><given-names>H. L. L.</given-names></name> <name><surname>Stevenson</surname><given-names>C. W.</given-names></name></person-group> (<year>2020</year>). <article-title>The neurobiological basis of sex differences in learned fear and its inhibition</article-title>. <source>Eur. J. Neurosci.</source> <volume>52</volume>, <fpage>2466</fpage>&#x2013;<lpage>2486</lpage>. doi: <pub-id pub-id-type="doi">10.1111/ejn.14602</pub-id></mixed-citation></ref>
<ref id="ref26"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>de Oliveira</surname><given-names>A. R.</given-names></name> <name><surname>Reimer</surname><given-names>A. E.</given-names></name> <name><surname>Simandl</surname><given-names>G. J.</given-names></name> <name><surname>Nagrale</surname><given-names>S. S.</given-names></name> <name><surname>Widge</surname><given-names>A. S.</given-names></name></person-group> (<year>2021</year>). <article-title>Lost in translation: no effect of repeated optogenetic cortico-striatal stimulation on compulsivity in rats</article-title>. <source>Transl. Psychiatry</source> <volume>11</volume>:<fpage>315</fpage>. doi: <pub-id pub-id-type="doi">10.1038/s41398-021-01448-x</pub-id></mixed-citation></ref>
<ref id="ref27"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Diehl</surname><given-names>M. M.</given-names></name> <name><surname>Bravo-Rivera</surname><given-names>C.</given-names></name> <name><surname>Quirk</surname><given-names>G. J.</given-names></name></person-group> (<year>2019</year>). <article-title>The study of active avoidance: a platform for discussion</article-title>. <source>Neurosci. Biobehav. Rev.</source> <volume>107</volume>, <fpage>229</fpage>&#x2013;<lpage>237</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.neubiorev.2019.09.010</pub-id></mixed-citation></ref>
<ref id="ref28"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Diehl</surname><given-names>M. M.</given-names></name> <name><surname>Moscarello</surname><given-names>J. M.</given-names></name> <name><surname>Trask</surname><given-names>S.</given-names></name></person-group> (<year>2024</year>). <article-title>Behavioral outputs and overlapping circuits between conditional fear and active avoidance</article-title>. <source>Neurobiol. Learn. Mem.</source> <volume>213</volume>:<fpage>107943</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.nlm.2024.107943</pub-id></mixed-citation></ref>
<ref id="ref29"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Dymond</surname><given-names>S.</given-names></name></person-group> (<year>2019</year>). <article-title>Overcoming avoidance in anxiety disorders: the contributions of Pavlovian and operant avoidance extinction methods</article-title>. <source>Neurosci. Biobehav. Rev.</source> <volume>98</volume>, <fpage>61</fpage>&#x2013;<lpage>70</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.neubiorev.2019.01.007</pub-id></mixed-citation></ref>
<ref id="ref30"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ellard</surname><given-names>K. K.</given-names></name> <name><surname>Fairholme</surname><given-names>C. P.</given-names></name> <name><surname>Boisseau</surname><given-names>C. L.</given-names></name> <name><surname>Farchione</surname><given-names>T. J.</given-names></name> <name><surname>Barlow</surname><given-names>D. H.</given-names></name></person-group> (<year>2010</year>). <article-title>Unified protocol for the Transdiagnostic treatment of emotional disorders: protocol development and initial outcome data</article-title>. <source>Cogn. Behav. Pract.</source> <volume>17</volume>, <fpage>88</fpage>&#x2013;<lpage>101</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.cbpra.2009.06.002</pub-id></mixed-citation></ref>
<ref id="ref31"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Faraji</surname><given-names>M.</given-names></name> <name><surname>Viera-Resto</surname><given-names>O. A.</given-names></name> <name><surname>Setlow</surname><given-names>B.</given-names></name> <name><surname>Bizon</surname><given-names>J. L.</given-names></name></person-group> (<year>2024</year>). <article-title>Effects of reproductive experience on cost-benefit decision making in female rats</article-title>. <source>Front. Behav. Neurosci.</source> <volume>18</volume>:<fpage>1304408</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fnbeh.2024.1304408</pub-id></mixed-citation></ref>
<ref id="ref32"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ferreira</surname><given-names>A.</given-names></name> <name><surname>Hansen</surname><given-names>S.</given-names></name> <name><surname>Nielsen</surname><given-names>M.</given-names></name> <name><surname>Archer</surname><given-names>T.</given-names></name> <name><surname>Minor</surname><given-names>B. G.</given-names></name></person-group> (<year>1989</year>). <article-title>Behavior of mother rats in conflict tests sensitive to antianxiety agents</article-title>. <source>Behav. Neurosci.</source> <volume>103</volume>, <fpage>193</fpage>&#x2013;<lpage>201</lpage>. doi: <pub-id pub-id-type="doi">10.1037//0735-7044.103.1.193</pub-id></mixed-citation></ref>
<ref id="ref33"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Fineberg</surname><given-names>N. A.</given-names></name> <name><surname>Haddad</surname><given-names>P. M.</given-names></name> <name><surname>Carpenter</surname><given-names>L.</given-names></name> <name><surname>Gannon</surname><given-names>B.</given-names></name> <name><surname>Sharpe</surname><given-names>R.</given-names></name> <name><surname>Young</surname><given-names>A. H.</given-names></name> <etal/></person-group>. (<year>2013</year>). <article-title>The size, burden and cost of disorders of the brain in the UK</article-title>. <source>J. Psychopharmacol.</source> <volume>27</volume>, <fpage>761</fpage>&#x2013;<lpage>770</lpage>. doi: <pub-id pub-id-type="doi">10.1177/0269881113495118</pub-id></mixed-citation></ref>
<ref id="ref34"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Fisher</surname><given-names>W. H.</given-names></name> <name><surname>Hartwell</surname><given-names>S. W.</given-names></name> <name><surname>Deng</surname><given-names>X.</given-names></name></person-group> (<year>2017</year>). <article-title>Managing inflation: on the use and potential misuse of zero-inflated count regression models</article-title>. <source>Crime Delinq.</source> <volume>63</volume>, <fpage>77</fpage>&#x2013;<lpage>87</lpage>. doi: <pub-id pub-id-type="doi">10.1177/0011128716679796</pub-id></mixed-citation></ref>
<ref id="ref35"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Graham</surname><given-names>B. M.</given-names></name> <name><surname>Milad</surname><given-names>M. R.</given-names></name></person-group> (<year>2014</year>). <article-title>Inhibition of estradiol synthesis impairs fear extinction in male rats</article-title>. <source>Learn. Mem.</source> <volume>21</volume>, <fpage>347</fpage>&#x2013;<lpage>350</lpage>. doi: <pub-id pub-id-type="doi">10.1101/lm.034926.114</pub-id></mixed-citation></ref>
<ref id="ref36"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Greiner</surname><given-names>E. M.</given-names></name> <name><surname>M&#x00FC;ller</surname><given-names>I.</given-names></name> <name><surname>Norris</surname><given-names>M. R.</given-names></name> <name><surname>Ng</surname><given-names>K. H.</given-names></name> <name><surname>Sangha</surname><given-names>S.</given-names></name></person-group> (<year>2019</year>). <article-title>Sex differences in fear regulation and reward-seeking behaviors in a fear-safety-reward discrimination task</article-title>. <source>Behav. Brain Res.</source> <volume>368</volume>:<fpage>111903</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.bbr.2019.111903</pub-id></mixed-citation></ref>
<ref id="ref37"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Grissom</surname><given-names>N. M.</given-names></name> <name><surname>Glewwe</surname><given-names>N.</given-names></name> <name><surname>Chen</surname><given-names>C.</given-names></name> <name><surname>Giglio</surname><given-names>E.</given-names></name></person-group> (<year>2024</year>). <article-title>Sex mechanisms as nonbinary influences on cognitive diversity</article-title>. <source>Horm. Behav.</source> <volume>162</volume>:<fpage>105544</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.yhbeh.2024.105544</pub-id></mixed-citation></ref>
<ref id="ref38"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Grissom</surname><given-names>N. M.</given-names></name> <name><surname>Reyes</surname><given-names>T. M.</given-names></name></person-group> (<year>2019</year>). <article-title>Let&#x2019;s call the whole thing off: evaluating gender and sex differences in executive function</article-title>. <source>Neuropsychopharmacology</source> <volume>44</volume>, <fpage>86</fpage>&#x2013;<lpage>96</lpage>. doi: <pub-id pub-id-type="doi">10.1038/s41386-018-0179-5</pub-id></mixed-citation></ref>
<ref id="ref39"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Gruene</surname><given-names>T. M.</given-names></name> <name><surname>Flick</surname><given-names>K.</given-names></name> <name><surname>Stefano</surname><given-names>A.</given-names></name> <name><surname>Shea</surname><given-names>S. D.</given-names></name> <name><surname>Shansky</surname><given-names>R. M.</given-names></name></person-group> (<year>2015a</year>). <article-title>Sexually divergent expression of active and passive conditioned fear responses in rats</article-title>. <source>eLife</source> <volume>4</volume>:<fpage>e11352</fpage>. doi: <pub-id pub-id-type="doi">10.7554/eLife.11352</pub-id></mixed-citation></ref>
<ref id="ref40"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Gruene</surname><given-names>T. M.</given-names></name> <name><surname>Roberts</surname><given-names>E.</given-names></name> <name><surname>Thomas</surname><given-names>V.</given-names></name> <name><surname>Ronzio</surname><given-names>A.</given-names></name> <name><surname>Shansky</surname><given-names>R. M.</given-names></name></person-group> (<year>2015b</year>). <article-title>Sex-specific neuroanatomical correlates of fear expression in prefrontal-amygdala circuits</article-title>. <source>Biol. Psychiatry</source> <volume>78</volume>, <fpage>186</fpage>&#x2013;<lpage>193</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.biopsych.2014.11.014</pub-id></mixed-citation></ref>
<ref id="ref41"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Haering</surname><given-names>S.</given-names></name> <name><surname>Meyer</surname><given-names>C.</given-names></name> <name><surname>Schulze</surname><given-names>L.</given-names></name> <name><surname>Conrad</surname><given-names>E.</given-names></name> <name><surname>Blecker</surname><given-names>M. K.</given-names></name> <name><surname>El-Haj-Mohamad</surname><given-names>R.</given-names></name> <etal/></person-group>. (<year>2024</year>). <article-title>Sex and gender differences in risk factors for posttraumatic stress disorder: a systematic review and meta-analysis of prospective studies</article-title>. <source>J. Psychopathol. Clin. Sci.</source> <volume>133</volume>, <fpage>429</fpage>&#x2013;<lpage>444</lpage>. doi: <pub-id pub-id-type="doi">10.1037/abn0000918</pub-id></mixed-citation></ref>
<ref id="ref42"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Halcomb</surname><given-names>C. J.</given-names></name> <name><surname>Philipp</surname><given-names>T. R.</given-names></name> <name><surname>Dhillon</surname><given-names>P. S.</given-names></name> <name><surname>Cox</surname><given-names>J. H.</given-names></name> <name><surname>Aguilar-Alvarez</surname><given-names>R.</given-names></name> <name><surname>Vanderhoof</surname><given-names>S. O.</given-names></name> <etal/></person-group>. (<year>2024</year>). <article-title>Sex divergent behavioral responses in platform-mediated avoidance and glucocorticoid receptor blockade</article-title>. <source>Psychoneuroendocrinology</source> <volume>159</volume>:<fpage>106417</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.psyneuen.2023.106417</pub-id></mixed-citation></ref>
<ref id="ref43"><mixed-citation publication-type="other"><person-group person-group-type="author"><name><surname>Hartig</surname><given-names>F.</given-names></name></person-group> (<year>2024</year>). <source>DHARMa: Residual diagnostics for hierarchical (multi-level / mixed) regression models</source>. Available online at: <ext-link xlink:href="https://cran.r-project.org/web/packages/DHARMa/index.html" ext-link-type="uri">https://cran.r-project.org/web/packages/DHARMa/index.html</ext-link> (Accessed September 13, 2025).</mixed-citation></ref>
<ref id="ref44"><mixed-citation publication-type="book"><person-group person-group-type="author"><name><surname>He</surname><given-names>K.</given-names></name> <name><surname>Zhang</surname><given-names>X.</given-names></name> <name><surname>Ren</surname><given-names>S.</given-names></name> <name><surname>Sun</surname><given-names>J.</given-names></name></person-group> (<year>2016</year>). &#x201C;<chapter-title>Deep residual learning for image recognition</chapter-title>,&#x201D; in <source>Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</source> (<publisher-loc>Las Vegas, NV</publisher-loc>: <publisher-name>IEEE</publisher-name>), <fpage>770</fpage>&#x2013;<lpage>778</lpage>. doi:<pub-id pub-id-type="doi">10.1109/CVPR.2016.90</pub-id></mixed-citation></ref>
<ref id="ref45"><mixed-citation publication-type="other"><person-group person-group-type="author"><name><surname>Hester</surname><given-names>J.</given-names></name> <name><surname>Bryan</surname><given-names>J.</given-names></name></person-group> (<year>2024</year>). <source>Glue: Interpreted string literals</source>. Available online at: <ext-link xlink:href="https://cran.r-project.org/web/packages/glue/index.html" ext-link-type="uri">https://cran.r-project.org/web/packages/glue/index.html</ext-link> (Accessed September 13, 2025).</mixed-citation></ref>
<ref id="ref46"><mixed-citation publication-type="other"><person-group person-group-type="author"><name><surname>Iannone</surname><given-names>R.</given-names></name> <name><surname>Cheng</surname><given-names>J.</given-names></name> <name><surname>Schloerke</surname><given-names>B.</given-names></name> <name><surname>Hughes</surname><given-names>E.</given-names></name> <name><surname>Lauer</surname><given-names>A.</given-names></name> <name><surname>Seo</surname><given-names>J.</given-names></name> <etal/></person-group>. (<year>2025</year>). <source>Gt: Easily create presentation-ready display tables</source>. Available online at: <ext-link xlink:href="https://cran.r-project.org/web/packages/gt/index.html" ext-link-type="uri">https://cran.r-project.org/web/packages/gt/index.html</ext-link> (Accessed September 13, 2025).</mixed-citation></ref>
<ref id="ref47"><mixed-citation publication-type="book"><person-group person-group-type="author"><name><surname>Insafutdinov</surname><given-names>E.</given-names></name> <name><surname>Pishchulin</surname><given-names>L.</given-names></name> <name><surname>Andres</surname><given-names>B.</given-names></name> <name><surname>Andriluka</surname><given-names>M.</given-names></name> <name><surname>Schiele</surname><given-names>B.</given-names></name></person-group> (<year>2016</year>). &#x201C;<chapter-title>DeeperCut: a deeper, stronger, and faster multi-person pose estimation model</chapter-title>&#x201D; in <source>Computer vision &#x2013; ECCV 2016</source>. eds. <person-group person-group-type="editor"><name><surname>Leibe</surname><given-names>B.</given-names></name> <name><surname>Matas</surname><given-names>J.</given-names></name> <name><surname>Sebe</surname><given-names>N.</given-names></name> <name><surname>Welling</surname><given-names>M.</given-names></name></person-group> (<publisher-loc>Cham</publisher-loc>: <publisher-name>Springer International Publishing</publisher-name>), <fpage>34</fpage>&#x2013;<lpage>50</lpage>. doi: <pub-id pub-id-type="doi">10.1007/978-3-319-46466-4_3</pub-id></mixed-citation></ref>
<ref id="ref48"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Kessler</surname><given-names>R. C.</given-names></name> <name><surname>Berglund</surname><given-names>P.</given-names></name> <name><surname>Demler</surname><given-names>O.</given-names></name> <name><surname>Jin</surname><given-names>R.</given-names></name> <name><surname>Merikangas</surname><given-names>K. R.</given-names></name> <name><surname>Walters</surname><given-names>E. E.</given-names></name></person-group> (<year>2005</year>). <article-title>Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Survey Replication</article-title>. <source>Arch. Gen. Psychiatry</source> <volume>62</volume>, <fpage>593</fpage>&#x2013;<lpage>602</lpage>. doi: <pub-id pub-id-type="doi">10.1001/archpsyc.62.6.593</pub-id></mixed-citation></ref>
<ref id="ref49"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Kim</surname><given-names>J. H.</given-names></name></person-group> (<year>2019</year>). <article-title>Multicollinearity and misleading statistical results</article-title>. <source>Korean J. Anesthesiol.</source> <volume>72</volume>, <fpage>558</fpage>&#x2013;<lpage>569</lpage>. doi: <pub-id pub-id-type="doi">10.4097/kja.19087</pub-id></mixed-citation></ref>
<ref id="ref50"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Kirlic</surname><given-names>N.</given-names></name> <name><surname>Young</surname><given-names>J.</given-names></name> <name><surname>Aupperle</surname><given-names>R. L.</given-names></name></person-group> (<year>2017</year>). <article-title>Animal to human translational paradigms relevant for approach avoidance conflict decision making</article-title>. <source>Behav. Res. Ther.</source> <volume>96</volume>, <fpage>14</fpage>&#x2013;<lpage>29</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.brat.2017.04.010</pub-id></mixed-citation></ref>
<ref id="ref51"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Krypotos</surname><given-names>A.-M.</given-names></name> <name><surname>Effting</surname><given-names>M.</given-names></name> <name><surname>Kindt</surname><given-names>M.</given-names></name> <name><surname>Beckers</surname><given-names>T.</given-names></name></person-group> (<year>2015</year>). <article-title>Avoidance learning: a review of theoretical models and recent developments</article-title>. <source>Front. Behav. Neurosci.</source> <volume>9</volume>:<fpage>189</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fnbeh.2015.00189</pub-id></mixed-citation></ref>
<ref id="ref52"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Lebron-Milad</surname><given-names>K.</given-names></name> <name><surname>Milad</surname><given-names>M. R.</given-names></name></person-group> (<year>2012</year>). <article-title>Sex differences, gonadal hormones and the fear extinction network: implications for anxiety disorders</article-title>. <source>Biol. Mood Anxiety Disord.</source> <volume>2</volume>:<fpage>3</fpage>. doi: <pub-id pub-id-type="doi">10.1186/2045-5380-2-3</pub-id></mixed-citation></ref>
<ref id="ref53"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>LeDoux</surname><given-names>J. E.</given-names></name></person-group> (<year>2000</year>). <article-title>Emotion circuits in the brain</article-title>. <source>Annu. Rev. Neurosci.</source> <volume>23</volume>, <fpage>155</fpage>&#x2013;<lpage>184</lpage>. doi: <pub-id pub-id-type="doi">10.1146/annurev.neuro.23.1.155</pub-id></mixed-citation></ref>
<ref id="ref54"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Levy</surname><given-names>D. R.</given-names></name> <name><surname>Hunter</surname><given-names>N.</given-names></name> <name><surname>Lin</surname><given-names>S.</given-names></name> <name><surname>Robinson</surname><given-names>E. M.</given-names></name> <name><surname>Gillis</surname><given-names>W.</given-names></name> <name><surname>Conlin</surname><given-names>E. B.</given-names></name> <etal/></person-group>. (<year>2023</year>). <article-title>Mouse spontaneous behavior reflects individual variation rather than estrous state</article-title>. <source>Curr. Biol.</source> <volume>33</volume>, <fpage>1358</fpage>&#x2013;<lpage>1364.e4</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.cub.2023.02.035</pub-id></mixed-citation></ref>
<ref id="ref55"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Li</surname><given-names>S. H.</given-names></name> <name><surname>Graham</surname><given-names>B. M.</given-names></name></person-group> (<year>2017</year>). <article-title>Why are women so vulnerable to anxiety, trauma-related and stress-related disorders? The potential role of sex hormones</article-title>. <source>Lancet Psychiatry</source> <volume>4</volume>, <fpage>73</fpage>&#x2013;<lpage>82</lpage>. doi: <pub-id pub-id-type="doi">10.1016/S2215-0366(16)30358-3</pub-id></mixed-citation></ref>
<ref id="ref56"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Lindel&#x00F8;v</surname><given-names>J. K.</given-names></name></person-group> (<year>2020</year>). <article-title>Mcp: an R package for regression with multiple change points</article-title>. <source>OSF Preprints [Preprint].</source> doi: <pub-id pub-id-type="doi">10.31219/osf.io/fzqxv</pub-id></mixed-citation></ref>
<ref id="ref57"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>L&#x00FC;decke</surname><given-names>D.</given-names></name> <name><surname>Ben-Shachar</surname><given-names>M. S.</given-names></name> <name><surname>Patil</surname><given-names>I.</given-names></name> <name><surname>Waggoner</surname><given-names>P.</given-names></name> <name><surname>Makowski</surname><given-names>D.</given-names></name></person-group> (<year>2021a</year>). <article-title>Performance: an R package for assessment, comparison and testing of statistical models</article-title>. <source>J. Open Source Softw.</source> <volume>6</volume>:<fpage>3139</fpage>. doi: <pub-id pub-id-type="doi">10.21105/joss.03139</pub-id></mixed-citation></ref>
<ref id="ref58"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>L&#x00FC;decke</surname><given-names>D.</given-names></name> <name><surname>Patil</surname><given-names>I.</given-names></name> <name><surname>Ben-Shachar</surname><given-names>M. S.</given-names></name> <name><surname>Wiernik</surname><given-names>B. M.</given-names></name> <name><surname>Waggoner</surname><given-names>P.</given-names></name> <name><surname>Makowski</surname><given-names>D.</given-names></name></person-group> (<year>2021b</year>). <article-title>See: an R package for visualizing statistical models</article-title>. <source>J. Open Source Softw.</source> <volume>6</volume>:<fpage>3393</fpage>. doi: <pub-id pub-id-type="doi">10.21105/joss.03393</pub-id></mixed-citation></ref>
<ref id="ref59"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Maeng</surname><given-names>L. Y.</given-names></name> <name><surname>Cover</surname><given-names>K. K.</given-names></name> <name><surname>Taha</surname><given-names>M. B.</given-names></name> <name><surname>Landau</surname><given-names>A. J.</given-names></name> <name><surname>Milad</surname><given-names>M. R.</given-names></name> <name><surname>Lebr&#x00F3;n-Milad</surname><given-names>K.</given-names></name></person-group> (<year>2017</year>). <article-title>Estradiol shifts interactions between the infralimbic cortex and central amygdala to enhance fear extinction memory in female rats</article-title>. <source>J. Neurosci. Res.</source> <volume>95</volume>, <fpage>163</fpage>&#x2013;<lpage>175</lpage>. doi: <pub-id pub-id-type="doi">10.1002/jnr.23826</pub-id></mixed-citation></ref>
<ref id="ref60"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Maren</surname><given-names>S.</given-names></name></person-group> (<year>2001</year>). <article-title>Neurobiology of Pavlovian fear conditioning</article-title>. <source>Annu. Rev. Neurosci.</source> <volume>24</volume>, <fpage>897</fpage>&#x2013;<lpage>931</lpage>. doi: <pub-id pub-id-type="doi">10.1146/annurev.neuro.24.1.897</pub-id></mixed-citation></ref>
<ref id="ref61"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Mart&#x00ED;nez-Rivera</surname><given-names>F. J.</given-names></name> <name><surname>S&#x00E1;nchez-Navarro</surname><given-names>M. J.</given-names></name> <name><surname>Huertas-P&#x00E9;rez</surname><given-names>C. I.</given-names></name> <name><surname>Greenberg</surname><given-names>B. D.</given-names></name> <name><surname>Rasmussen</surname><given-names>S. A.</given-names></name> <name><surname>Quirk</surname><given-names>G. J.</given-names></name></person-group> (<year>2020</year>). <article-title>Prolonged avoidance training exacerbates OCD-like behaviors in a rodent model</article-title>. <source>Transl. Psychiatry</source> <volume>10</volume>:<fpage>212</fpage>. doi: <pub-id pub-id-type="doi">10.1038/s41398-020-00892-5</pub-id></mixed-citation></ref>
<ref id="ref62"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Mathis</surname><given-names>A.</given-names></name> <name><surname>Mamidanna</surname><given-names>P.</given-names></name> <name><surname>Cury</surname><given-names>K. M.</given-names></name> <name><surname>Abe</surname><given-names>T.</given-names></name> <name><surname>Murthy</surname><given-names>V. N.</given-names></name> <name><surname>Mathis</surname><given-names>M. W.</given-names></name> <etal/></person-group>. (<year>2018</year>). <article-title>DeepLabCut: markerless pose estimation of user-defined body parts with deep learning</article-title>. <source>Nat. Neurosci.</source> <volume>21</volume>, <fpage>1281</fpage>&#x2013;<lpage>1289</lpage>. doi: <pub-id pub-id-type="doi">10.1038/s41593-018-0209-y</pub-id></mixed-citation></ref>
<ref id="ref63"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>McCarthy</surname><given-names>M. M.</given-names></name> <name><surname>Arnold</surname><given-names>A. P.</given-names></name> <name><surname>Ball</surname><given-names>G. F.</given-names></name> <name><surname>Blaustein</surname><given-names>J. D.</given-names></name> <name><surname>De Vries</surname><given-names>G. J.</given-names></name></person-group> (<year>2012</year>). <article-title>Sex differences in the brain: the not so inconvenient truth</article-title>. <source>J. Neurosci.</source> <volume>32</volume>, <fpage>2241</fpage>&#x2013;<lpage>2247</lpage>. doi: <pub-id pub-id-type="doi">10.1523/JNEUROSCI.5372-11.2012</pub-id></mixed-citation></ref>
<ref id="ref64"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>McCarthy</surname><given-names>M. M.</given-names></name> <name><surname>Pickett</surname><given-names>L. A.</given-names></name> <name><surname>VanRyzin</surname><given-names>J. W.</given-names></name> <name><surname>Kight</surname><given-names>K. E.</given-names></name></person-group> (<year>2015</year>). <article-title>Surprising origins of sex differences in the brain</article-title>. <source>Horm. Behav.</source> <volume>76</volume>, <fpage>3</fpage>&#x2013;<lpage>10</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.yhbeh.2015.04.013</pub-id></mixed-citation></ref>
<ref id="ref65"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>McLean</surname><given-names>C. P.</given-names></name> <name><surname>Asnaani</surname><given-names>A.</given-names></name> <name><surname>Litz</surname><given-names>B. T.</given-names></name> <name><surname>Hofmann</surname><given-names>S. G.</given-names></name></person-group> (<year>2011</year>). <article-title>Gender differences in anxiety disorders: prevalence, course of illness, comorbidity and burden of illness</article-title>. <source>J. Psychiatr. Res.</source> <volume>45</volume>, <fpage>1027</fpage>&#x2013;<lpage>1035</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jpsychires.2011.03.006</pub-id></mixed-citation></ref>
<ref id="ref66"><mixed-citation publication-type="book"><person-group person-group-type="author"><name><surname>Mogil</surname><given-names>J. S.</given-names></name> <name><surname>Bailey</surname><given-names>A. L.</given-names></name></person-group> (<year>2010</year>). &#x201C;<chapter-title>Sex and gender differences in pain and analgesia</chapter-title>&#x201D; in <source>Progress in brain research</source>, vol. <volume>186</volume> (<publisher-loc>Amsterdam, Netherlands</publisher-loc>: <publisher-name>Elsevier</publisher-name>), <fpage>140</fpage>&#x2013;<lpage>157</lpage>. doi: <pub-id pub-id-type="doi">10.1016/B978-0-444-53630-3.00009-9</pub-id></mixed-citation></ref>
<ref id="ref67"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Mowrer</surname><given-names>O. H.</given-names></name> <name><surname>Lamoreaux</surname><given-names>R. R.</given-names></name></person-group> (<year>1946</year>). <article-title>Fear as an intervening variable in avoidance conditioning</article-title>. <source>J. Comp. Psychol.</source> <volume>39</volume>, <fpage>29</fpage>&#x2013;<lpage>50</lpage>. doi: <pub-id pub-id-type="doi">10.1037/h0060150</pub-id></mixed-citation></ref>
<ref id="ref68"><mixed-citation publication-type="other"><person-group person-group-type="author"><name><surname>M&#x00FC;ller</surname><given-names>K.</given-names></name> <name><surname>Wickham</surname><given-names>H.</given-names></name></person-group> (<year>2025</year>). <source>tibble: Simple Data Frames</source>. Available online at: <ext-link xlink:href="https://cran.r-project.org/web/packages/tibble/index.html" ext-link-type="uri">https://cran.r-project.org/web/packages/tibble/index.html</ext-link> (Accessed September 13, 2025).</mixed-citation></ref>
<ref id="ref69"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Nash</surname><given-names>J. C.</given-names></name> <name><surname>Varadhan</surname><given-names>R.</given-names></name></person-group> (<year>2011</year>). <article-title>Unifying optimization algorithms to aid software system users: optimx for R</article-title>. <source>J. Stat. Softw.</source> <volume>43</volume>, <fpage>1</fpage>&#x2013;<lpage>14</lpage>. doi: <pub-id pub-id-type="doi">10.18637/jss.v043.i09</pub-id></mixed-citation></ref>
<ref id="ref70"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Nath</surname><given-names>T.</given-names></name> <name><surname>Mathis</surname><given-names>A.</given-names></name> <name><surname>Chen</surname><given-names>A. C.</given-names></name> <name><surname>Patel</surname><given-names>A.</given-names></name> <name><surname>Bethge</surname><given-names>M.</given-names></name> <name><surname>Mathis</surname><given-names>M. W.</given-names></name></person-group> (<year>2019</year>). <article-title>Using DeepLabCut for 3D markerless pose estimation across species and behaviors</article-title>. <source>Nat. Protoc.</source> <volume>14</volume>, <fpage>2152</fpage>&#x2013;<lpage>2176</lpage>. doi: <pub-id pub-id-type="doi">10.1038/s41596-019-0176-0</pub-id></mixed-citation></ref>
<ref id="ref71"><mixed-citation publication-type="other"><person-group person-group-type="author"><name><surname>Neuwirth</surname><given-names>E.</given-names></name></person-group> (<year>2022</year>). <source>RColorBrewer: ColorBrewer palettes</source>. Available online at: <ext-link xlink:href="https://cran.r-project.org/web/packages/RColorBrewer/index.html" ext-link-type="uri">https://cran.r-project.org/web/packages/RColorBrewer/index.html</ext-link> (Accessed September 13, 2025).</mixed-citation></ref>
<ref id="ref72"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Olff</surname><given-names>M.</given-names></name></person-group> (<year>2017</year>). <article-title>Sex and gender differences in post-traumatic stress disorder: an update</article-title>. <source>Eur. J. Psychotraumatol.</source> <volume>8</volume>:<fpage>1351204</fpage>. doi: <pub-id pub-id-type="doi">10.1080/20008198.2017.1351204</pub-id></mixed-citation></ref>
<ref id="ref73"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Orsini</surname><given-names>C. A.</given-names></name> <name><surname>Willis</surname><given-names>M. L.</given-names></name> <name><surname>Gilbert</surname><given-names>R. J.</given-names></name> <name><surname>Bizon</surname><given-names>J. L.</given-names></name> <name><surname>Setlow</surname><given-names>B.</given-names></name></person-group> (<year>2016</year>). <article-title>Sex differences in a rat model of risky decision making</article-title>. <source>Behav. Neurosci.</source> <volume>130</volume>, <fpage>50</fpage>&#x2013;<lpage>61</lpage>. doi: <pub-id pub-id-type="doi">10.1037/bne0000111</pub-id></mixed-citation></ref>
<ref id="ref74"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Panayiotou</surname><given-names>G.</given-names></name> <name><surname>Karekla</surname><given-names>M.</given-names></name> <name><surname>Leonidou</surname><given-names>C.</given-names></name></person-group> (<year>2017</year>). <article-title>Coping through avoidance may explain gender disparities in anxiety</article-title>. <source>J. Context. Behav. Sci.</source> <volume>6</volume>, <fpage>215</fpage>&#x2013;<lpage>220</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jcbs.2017.04.005</pub-id></mixed-citation></ref>
<ref id="ref75"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Papale</surname><given-names>A. E.</given-names></name> <name><surname>Stott</surname><given-names>J. J.</given-names></name> <name><surname>Powell</surname><given-names>N. J.</given-names></name> <name><surname>Regier</surname><given-names>P. S.</given-names></name> <name><surname>Redish</surname><given-names>A. D.</given-names></name></person-group> (<year>2012</year>). <article-title>Interactions between deliberation and delay-discounting in rats</article-title>. <source>Cogn. Affect. Behav. Neurosci.</source> <volume>12</volume>, <fpage>513</fpage>&#x2013;<lpage>526</lpage>. doi: <pub-id pub-id-type="doi">10.3758/s13415-012-0097-7</pub-id></mixed-citation></ref>
<ref id="ref76"><mixed-citation publication-type="other"><person-group person-group-type="author"><name><surname>Pedersen</surname><given-names>T. L.</given-names></name></person-group> (<year>2025</year>). <source>Patchwork: The composer of plots</source>. Available online at: <ext-link xlink:href="https://cran.r-project.org/web/packages/patchwork/index.html" ext-link-type="uri">https://cran.r-project.org/web/packages/patchwork/index.html</ext-link> (Accessed September 13, 2025).</mixed-citation></ref>
<ref id="ref77"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Pittig</surname><given-names>A.</given-names></name> <name><surname>Boschet</surname><given-names>J. M.</given-names></name> <name><surname>Gl&#x00FC;ck</surname><given-names>V. M.</given-names></name> <name><surname>Schneider</surname><given-names>K.</given-names></name></person-group> (<year>2021</year>). <article-title>Elevated costly avoidance in anxiety disorders: patients show little downregulation of acquired avoidance in face of competing rewards for approach</article-title>. <source>Depress. Anxiety</source> <volume>38</volume>, <fpage>361</fpage>&#x2013;<lpage>371</lpage>. doi: <pub-id pub-id-type="doi">10.1002/da.23119</pub-id></mixed-citation></ref>
<ref id="ref78"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Plas</surname><given-names>S. L.</given-names></name> <name><surname>Tuna</surname><given-names>T.</given-names></name> <name><surname>Bayer</surname><given-names>H.</given-names></name> <name><surname>Juliano</surname><given-names>V. A. L.</given-names></name> <name><surname>Sweck</surname><given-names>S. O.</given-names></name> <name><surname>Arellano Perez</surname><given-names>A. D.</given-names></name> <etal/></person-group>. (<year>2024</year>). <article-title>Neural circuits for the adaptive regulation of fear and extinction memory</article-title>. <source>Front. Behav. Neurosci.</source> <volume>18</volume>:<fpage>1352797</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fnbeh.2024.1352797</pub-id></mixed-citation></ref>
<ref id="ref79"><mixed-citation publication-type="book"><person-group person-group-type="author"><collab id="coll1">Posit team</collab></person-group> (<year>2025</year>). <source>RStudio: Integrated development environment for R</source>. <publisher-loc>Boston, MA</publisher-loc>: <publisher-name>Posit Software, PBC</publisher-name>.</mixed-citation></ref>
<ref id="ref80"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Price</surname><given-names>M.</given-names></name> <name><surname>van Stolk-Cooke</surname><given-names>K.</given-names></name></person-group> (<year>2015</year>). <article-title>Examination of the interrelations between the factors of PTSD, major depression, and generalized anxiety disorder in a heterogeneous trauma-exposed sample using DSM 5 criteria</article-title>. <source>J. Affect. Disord.</source> <volume>186</volume>, <fpage>149</fpage>&#x2013;<lpage>155</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jad.2015.06.012</pub-id></mixed-citation></ref>
<ref id="ref81"><mixed-citation publication-type="book"><person-group person-group-type="author"><collab id="coll2">R Core Team</collab></person-group> (<year>2025</year>). <source>R: A language and environment for statistical computing</source>. <publisher-loc>Vienna, Austria</publisher-loc>: <publisher-name>R Foundation for Statistical Computing</publisher-name>.</mixed-citation></ref>
<ref id="ref82"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ramikie</surname><given-names>T. S.</given-names></name> <name><surname>Ressler</surname><given-names>K. J.</given-names></name></person-group> (<year>2018</year>). <article-title>Mechanisms of sex differences in fear and posttraumatic stress disorder</article-title>. <source>Biol. Psychiatry</source> <volume>83</volume>, <fpage>876</fpage>&#x2013;<lpage>885</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.biopsych.2017.11.016</pub-id></mixed-citation></ref>
<ref id="ref83"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Redish</surname><given-names>A. D.</given-names></name></person-group> (<year>2016</year>). <article-title>Vicarious trial and error</article-title>. <source>Nat. Rev. Neurosci.</source> <volume>17</volume>, <fpage>147</fpage>&#x2013;<lpage>159</lpage>. doi: <pub-id pub-id-type="doi">10.1038/nrn.2015.30</pub-id></mixed-citation></ref>
<ref id="ref84"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Reimer</surname><given-names>A. E.</given-names></name> <name><surname>de Oliveira</surname><given-names>A. R.</given-names></name> <name><surname>Diniz</surname><given-names>J. B.</given-names></name> <name><surname>Hoexter</surname><given-names>M. Q.</given-names></name> <name><surname>Miguel</surname><given-names>E. C.</given-names></name> <name><surname>Milad</surname><given-names>M. R.</given-names></name> <etal/></person-group>. (<year>2018</year>). <article-title>Fear extinction in an obsessive-compulsive disorder animal model: influence of sex and estrous cycle</article-title>. <source>Neuropharmacology</source> <volume>131</volume>, <fpage>104</fpage>&#x2013;<lpage>115</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.neuropharm.2017.12.015</pub-id></mixed-citation></ref>
<ref id="ref85"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Rijn</surname><given-names>E. M. D.</given-names></name> <name><surname>Nielsen</surname><given-names>J.</given-names></name> <name><surname>Sachse</surname><given-names>E. M.</given-names></name> <name><surname>Li</surname><given-names>C.</given-names></name> <name><surname>Mensinger</surname><given-names>M. E.</given-names></name> <name><surname>Simpson</surname><given-names>S. G.</given-names></name> <etal/></person-group>. (<year>2024</year>). <article-title>Pybehave: a hardware agnostic, Python-based framework for controlling behavioral neuroscience experiments</article-title>. <source>J. Open Source Softw.</source> <volume>9</volume>:<fpage>6515</fpage>. doi: <pub-id pub-id-type="doi">10.21105/joss.06515</pub-id></mixed-citation></ref>
<ref id="ref86"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Salters-Pedneault</surname><given-names>K.</given-names></name> <name><surname>Tull</surname><given-names>M. T.</given-names></name> <name><surname>Roemer</surname><given-names>L.</given-names></name></person-group> (<year>2004</year>). <article-title>The role of avoidance of emotional material in the anxiety disorders</article-title>. <source>Appl. Prev. Psychol.</source> <volume>11</volume>, <fpage>95</fpage>&#x2013;<lpage>114</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.appsy.2004.09.001</pub-id></mixed-citation></ref>
<ref id="ref87"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Schmidt</surname><given-names>B.</given-names></name> <name><surname>Papale</surname><given-names>A.</given-names></name> <name><surname>Redish</surname><given-names>A. D.</given-names></name> <name><surname>Markus</surname><given-names>E. J.</given-names></name></person-group> (<year>2013</year>). <article-title>Conflict between place and response navigation strategies: effects on vicarious trial and error (VTE) behaviors</article-title>. <source>Learn. Mem.</source> <volume>20</volume>, <fpage>130</fpage>&#x2013;<lpage>138</lpage>. doi: <pub-id pub-id-type="doi">10.1101/lm.028753.112</pub-id></mixed-citation></ref>
<ref id="ref88"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Shanazz</surname><given-names>K.</given-names></name> <name><surname>Dixon-Melvin</surname><given-names>R.</given-names></name> <name><surname>Nalloor</surname><given-names>R.</given-names></name> <name><surname>Thumar</surname><given-names>R.</given-names></name> <name><surname>Vazdarjanova</surname><given-names>A. I.</given-names></name></person-group> (<year>2022</year>). <article-title>Sex differences in avoidance extinction after contextual fear conditioning: Anxioescapic behavior in female rats</article-title>. <source>Neuroscience</source> <volume>497</volume>, <fpage>146</fpage>&#x2013;<lpage>156</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.neuroscience.2022.06.031</pub-id></mixed-citation></ref>
<ref id="ref89"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Shansky</surname><given-names>R. M.</given-names></name></person-group> (<year>2018</year>). <article-title>Sex differences in behavioral strategies: avoiding interpretational pitfalls</article-title>. <source>Curr. Opin. Neurobiol.</source> <volume>49</volume>, <fpage>95</fpage>&#x2013;<lpage>98</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.conb.2018.01.007</pub-id></mixed-citation></ref>
<ref id="ref90"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Shansky</surname><given-names>R. M.</given-names></name></person-group> (<year>2019</year>). <article-title>Are hormones a &#x201C;female problem&#x201D; for animal research?</article-title> <source>Science</source> <volume>364</volume>, <fpage>825</fpage>&#x2013;<lpage>826</lpage>. doi: <pub-id pub-id-type="doi">10.1126/science.aaw7570</pub-id></mixed-citation></ref>
<ref id="ref91"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Shansky</surname><given-names>R. M.</given-names></name> <name><surname>Murphy</surname><given-names>A. Z.</given-names></name></person-group> (<year>2021</year>). <article-title>Considering sex as a biological variable will require a global shift in science culture</article-title>. <source>Nat. Neurosci.</source> <volume>24</volume>, <fpage>457</fpage>&#x2013;<lpage>464</lpage>. doi: <pub-id pub-id-type="doi">10.1038/s41593-021-00806-8</pub-id></mixed-citation></ref>
<ref id="ref92"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Smithson</surname><given-names>M.</given-names></name> <name><surname>Verkuilen</surname><given-names>J.</given-names></name></person-group> (<year>2006</year>). <article-title>A better lemon squeezer? Maximum-likelihood regression with beta-distributed dependent variables</article-title>. <source>Psychol. Methods</source> <volume>11</volume>, <fpage>54</fpage>&#x2013;<lpage>71</lpage>. doi: <pub-id pub-id-type="doi">10.1037/1082-989X.11.1.54</pub-id></mixed-citation></ref>
<ref id="ref93"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Sorge</surname><given-names>R. E.</given-names></name> <name><surname>Totsch</surname><given-names>S. K.</given-names></name></person-group> (<year>2017</year>). <article-title>Sex differences in pain</article-title>. <source>J. Neurosci. Res.</source> <volume>95</volume>, <fpage>1271</fpage>&#x2013;<lpage>1281</lpage>. doi: <pub-id pub-id-type="doi">10.1002/jnr.23841</pub-id></mixed-citation></ref>
<ref id="ref94"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Totty</surname><given-names>M. S.</given-names></name> <name><surname>Maren</surname><given-names>S.</given-names></name></person-group> (<year>2022</year>). <article-title>Neural oscillations in aversively motivated behavior</article-title>. <source>Front. Behav. Neurosci.</source> <volume>16</volume>:<fpage>936036</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fnbeh.2022.936036</pub-id></mixed-citation></ref>
<ref id="ref95"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Trautmann</surname><given-names>S.</given-names></name> <name><surname>Rehm</surname><given-names>J.</given-names></name> <name><surname>Wittchen</surname><given-names>H.-U.</given-names></name></person-group> (<year>2016</year>). <article-title>The economic costs of mental disorders: do our societies react appropriately to the burden of mental disorders?</article-title> <source>EMBO Rep.</source> <volume>17</volume>, <fpage>1245</fpage>&#x2013;<lpage>1249</lpage>. doi: <pub-id pub-id-type="doi">10.15252/embr.201642951</pub-id></mixed-citation></ref>
<ref id="ref96"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>van den Bos</surname><given-names>R.</given-names></name> <name><surname>Homberg</surname><given-names>J.</given-names></name> <name><surname>de Visser</surname><given-names>L.</given-names></name></person-group> (<year>2013</year>). <article-title>A critical review of sex differences in decision-making tasks: focus on the Iowa gambling task</article-title>. <source>Behav. Brain Res.</source> <volume>238</volume>, <fpage>95</fpage>&#x2013;<lpage>108</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.bbr.2012.10.002</pub-id></mixed-citation></ref>
<ref id="ref97"><mixed-citation publication-type="book"><person-group person-group-type="author"><name><surname>Wickham</surname><given-names>H.</given-names></name></person-group> (<year>2016</year>). <source>ggplot2: Elegant graphics for data analysis</source>. <publisher-loc>New York</publisher-loc>: <publisher-name>Springer-Verlag</publisher-name>.</mixed-citation></ref>
<ref id="ref98"><mixed-citation publication-type="other"><person-group person-group-type="author"><name><surname>Wickham</surname><given-names>H.</given-names></name></person-group> (<year>2023</year>). <source>Stringr: Simple, consistent wrappers for common string operations</source>. Available online at: <ext-link xlink:href="https://cran.r-project.org/web/packages/stringr/index.html" ext-link-type="uri">https://cran.r-project.org/web/packages/stringr/index.html</ext-link> (Accessed September 13, 2025).</mixed-citation></ref>
<ref id="ref99"><mixed-citation publication-type="other"><person-group person-group-type="author"><name><surname>Wickham</surname><given-names>H.</given-names></name> <name><surname>Henry</surname><given-names>L.</given-names></name></person-group> (<year>2025</year>). <source>Purrr: Functional programming tools</source>. Available online at: <ext-link xlink:href="https://cran.r-project.org/web/packages/purrr/index.html" ext-link-type="uri">https://cran.r-project.org/web/packages/purrr/index.html</ext-link> (Accessed September 13, 2025).</mixed-citation></ref>
<ref id="ref100"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Wickham</surname><given-names>H.</given-names></name> <name><surname>Averick</surname><given-names>M.</given-names></name> <name><surname>Bryan</surname><given-names>J.</given-names></name> <name><surname>Chang</surname><given-names>W.</given-names></name> <name><surname>McGowan</surname><given-names>L. D.</given-names></name> <name><surname>Fran&#x00E7;ois</surname><given-names>R.</given-names></name> <etal/></person-group>. (<year>2019</year>). <article-title>Welcome to the tidyverse</article-title>. <source>J. Open Source Softw.</source> <volume>4</volume>:<fpage>1686</fpage>. doi: <pub-id pub-id-type="doi">10.21105/joss.01686</pub-id></mixed-citation></ref>
<ref id="ref101"><mixed-citation publication-type="other"><person-group person-group-type="author"><name><surname>Wickham</surname><given-names>H.</given-names></name> <name><surname>Fran&#x00E7;ois</surname><given-names>R.</given-names></name> <name><surname>Henry</surname><given-names>L.</given-names></name> <name><surname>M&#x00FC;ller</surname><given-names>K.</given-names></name> <name><surname>Vaughan</surname><given-names>D.</given-names></name> <etal/></person-group>. (<year>2023</year>). <source>Dplyr: A grammar of data manipulation</source>. Available online at: <ext-link xlink:href="https://cran.r-project.org/web/packages/dplyr/index.html" ext-link-type="uri">https://cran.r-project.org/web/packages/dplyr/index.html</ext-link> (Accessed September 13, 2025).</mixed-citation></ref>
<ref id="ref102"><mixed-citation publication-type="other"><person-group person-group-type="author"><name><surname>Wickham</surname><given-names>H.</given-names></name> <name><surname>Hester</surname><given-names>J.</given-names></name> <name><surname>Bryan</surname><given-names>J.</given-names></name></person-group> (<year>2024a</year>). <source>Readr: Read rectangular text data</source>. Available online at: <ext-link xlink:href="https://cran.r-project.org/web/packages/readr/index.html" ext-link-type="uri">https://cran.r-project.org/web/packages/readr/index.html</ext-link> (Accessed September 13, 2025).</mixed-citation></ref>
<ref id="ref103"><mixed-citation publication-type="other"><person-group person-group-type="author"><name><surname>Wickham</surname><given-names>H.</given-names></name> <name><surname>Vaughan</surname><given-names>D.</given-names></name> <name><surname>Girlich</surname><given-names>M.</given-names></name> <name><surname>Ushey</surname><given-names>K.</given-names></name></person-group> (<year>2024b</year>). <source>Tidyr: Tidy messy data</source>. Available online at: <ext-link xlink:href="https://cran.r-project.org/web/packages/tidyr/index.html" ext-link-type="uri">https://cran.r-project.org/web/packages/tidyr/index.html</ext-link> (Accessed September 13, 2025).</mixed-citation></ref>
<ref id="ref104"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Xu</surname><given-names>J.</given-names></name> <name><surname>Hao</surname><given-names>L.</given-names></name> <name><surname>Chen</surname><given-names>M.</given-names></name> <name><surname>He</surname><given-names>Y.</given-names></name> <name><surname>Jiang</surname><given-names>M.</given-names></name> <name><surname>Tian</surname><given-names>T.</given-names></name> <etal/></person-group>. (<year>2022</year>). <article-title>Developmental sex differences in negative emotion decision-making dynamics: computational evidence and amygdala-prefrontal pathways</article-title>. <source>Cereb. Cortex</source> <volume>32</volume>, <fpage>2478</fpage>&#x2013;<lpage>2491</lpage>. doi: <pub-id pub-id-type="doi">10.1093/cercor/bhab359</pub-id></mixed-citation></ref>
<ref id="ref105"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zeileis</surname><given-names>A.</given-names></name> <name><surname>Hothorn</surname><given-names>T.</given-names></name></person-group> (<year>2002</year>). <article-title>Diagnostic checking in regression relationships</article-title>. <source>R News</source> <volume>2</volume>, <fpage>7</fpage>&#x2013;<lpage>10</lpage>.</mixed-citation></ref>
<ref id="ref106"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zeileis</surname><given-names>A.</given-names></name> <name><surname>K&#x00F6;ll</surname><given-names>S.</given-names></name> <name><surname>Graham</surname><given-names>N.</given-names></name></person-group> (<year>2020</year>). <article-title>Various versatile variances: an object-oriented implementation of clustered Covariances in R</article-title>. <source>J. Stat. Softw.</source> <volume>95</volume>, <fpage>1</fpage>&#x2013;<lpage>36</lpage>. doi: <pub-id pub-id-type="doi">10.18637/jss.v095.i01</pub-id></mixed-citation></ref>
<ref id="ref107"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zeng</surname><given-names>P.-Y.</given-names></name> <name><surname>Tsai</surname><given-names>Y.-H.</given-names></name> <name><surname>Lee</surname><given-names>C.-L.</given-names></name> <name><surname>Ma</surname><given-names>Y.-K.</given-names></name> <name><surname>Kuo</surname><given-names>T.-H.</given-names></name></person-group> (<year>2023</year>). <article-title>Minimal influence of estrous cycle on studies of female mouse behaviors</article-title>. <source>Front. Mol. Neurosci.</source> <volume>16</volume>:<fpage>1146109</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fnmol.2023.1146109</pub-id></mixed-citation></ref>
<ref id="ref108"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zhu</surname><given-names>H.</given-names></name> <name><surname>Luo</surname><given-names>S.</given-names></name> <name><surname>DeSantis</surname><given-names>S. M.</given-names></name></person-group> (<year>2017</year>). <article-title>Zero-inflated count models for longitudinal measurements with heterogeneous random effects</article-title>. <source>Stat. Methods Med. Res.</source> <volume>26</volume>, <fpage>1774</fpage>&#x2013;<lpage>1786</lpage>. doi: <pub-id pub-id-type="doi">10.1177/0962280215588224</pub-id></mixed-citation></ref>
</ref-list>
<fn-group>
<fn fn-type="custom" custom-type="edited-by" id="fn0002">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2620982/overview">Lucia (Lucy) Privitera</ext-link>, Queen Mary University of London, United Kingdom</p>
</fn>
<fn fn-type="custom" custom-type="reviewed-by" id="fn0003">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/5738/overview">Androniki Raftogianni</ext-link>, University of Crete, Greece</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3307360/overview">Valentina Olivera Pasilio</ext-link>, Northwestern University, United States</p>
</fn>
</fn-group>
</back>
</article>