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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Ethol.</journal-id>
<journal-title>Frontiers in Ethology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Ethol.</abbrev-journal-title>
<issn pub-type="epub">2813-5091</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fetho.2023.1273613</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Ethology</subject>
<subj-group>
<subject>Perspective</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Advancements in the study of neural mechanisms underlying mammalian grouping behaviour</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Kelly</surname>
<given-names>Aubrey M.</given-names>
</name>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1971139"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
</contrib-group>
<aff id="aff1">
<institution>Department of Psychology, Emory University</institution>, <addr-line>Atlanta, GA</addr-line>, <country>United States</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Todd M. Freeberg, The University of Tennessee, United States</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Cristiano Azevedo, Universidade Federal de Ouro Preto, Brazil; Annaliese K. Beery, University of California, Berkeley, United States; Kalynn M. Schulz, The University of Tennessee, United States</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Aubrey M. Kelly, <email xlink:href="mailto:aubrey.kelly@emory.edu">aubrey.kelly@emory.edu</email>; <email xlink:href="mailto:aubrey.kelly@emory.edu">aubrey.kelly@emory.edu</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>09</day>
<month>10</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>2</volume>
<elocation-id>1273613</elocation-id>
<history>
<date date-type="received">
<day>06</day>
<month>08</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>26</day>
<month>09</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Kelly</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Kelly</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). 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.</p>
</license>
</permissions>
<abstract>
<p>Despite the prevalence of large group-living in the animal kingdom, we know surprisingly little about how the brain facilitates grouping behavior, particularly in mammals. In this brief communication, I provide an update on advancements in the study of the neural mechanisms underlying mammalian grouping behavior. I discuss the benefits of using non-traditional organisms in the laboratory and provide examples of how using non-standard, large housing and testing apparatuses produces more ethologically-relevant behavioral datasets. Further, with advancements in computer vision-based automated tracking and increasing availability of wireless neural recording and manipulation tools, scientists can now generate unprecedented neurobehavioral datasets from multiple interacting animals. Together, recent advancements in behavioral and neural approaches hold great promise for expanding our understanding of how the brain modulates complex, mammalian grouping behaviors.</p>
</abstract>
<kwd-group>
<kwd>grouping behavior</kwd>
<kwd>sociality</kwd>
<kwd>neural mechanisms</kwd>
<kwd>rodent</kwd>
<kwd>mammal</kwd>
<kwd>group dynamics</kwd>
</kwd-group>
<counts>
<fig-count count="1"/>
<table-count count="0"/>
<equation-count count="0"/>
<ref-count count="111"/>
<page-count count="8"/>
<word-count count="4681"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Social Behavior and Communication</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Our understanding of how animals behave in groups has largely been garnered from studies conducted in the field. Such field studies have arguably revealed the most about collective behaviors. Collective behavior is commonly defined as the emergence of cohesive movements in groups of animals in the apparent absence of centralized control where individuals in the group act based on limited local information (i.e., physical movements or pheromonal cues from other group members), which flows through the group producing collective patterns (<xref ref-type="bibr" rid="B30">Couzin and Krause, 2003</xref>; <xref ref-type="bibr" rid="B47">Giardina, 2008</xref>). Examples of well-studied collective behaviors include migration (<xref ref-type="bibr" rid="B96">Shellard and Mayor, 2020</xref>; <xref ref-type="bibr" rid="B1">Aikens et&#xa0;al., 2022</xref>) and coordinated motion of flocks of birds and schools of fish (<xref ref-type="bibr" rid="B31">Couzin et&#xa0;al., 2002</xref>; <xref ref-type="bibr" rid="B35">Dieck Kattas et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B59">Jolles et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B90">Ribeiro et&#xa0;al., 2022</xref>). However, grouping behavior can be broadly defined as any type of behavior that occurs in groups and can focus not only on the group as a whole unit but also on individuals within the group (<xref ref-type="bibr" rid="B64">Krause and Ruxton, 2002</xref>; <xref ref-type="bibr" rid="B72">Majolo and Huang, 2022</xref>). Behaviors that occur in groups may also occur in non-group environments, such as foraging, which can occur alone or with others, or huddling which can occur in dyadic or large-group interactions (<xref ref-type="bibr" rid="B48">Gobrogge and Wang, 2015</xref>; <xref ref-type="bibr" rid="B36">Ding et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B111">Zhao et&#xa0;al., 2023</xref>). Importantly, though, the social context of being in a group may be quite distinct from that of the social context of being with just one other individual. Variation in social context can in turn influence the consequences of and/or motivations for particular actions, and thus may be regulated via different mechanisms in the brain. Indeed, just as a social context can elicit neural responses distinct from a non-social context (<xref ref-type="bibr" rid="B49">Gonzalez Abreu et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B92">Rodriguez-Santiago et&#xa0;al., 2022</xref>), so too can interactions with or exposure to a singular individual compared to a group of individuals (<xref ref-type="bibr" rid="B93">Rose et&#xa0;al., 2021</xref>).</p>
<p>We know a fair amount about the neural mechanisms underlying flocking behavior in birds (<xref ref-type="bibr" rid="B50">Goodson et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B100">Stevenson et&#xa0;al., 2020</xref>), and a few recent studies have begun to examine the neural mechanisms underlying grouping behavior in fish and insects (<xref ref-type="bibr" rid="B102">Tang et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B79">Messina et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B57">Homberg and Pfeiffer, 2023</xref>). However, we know little about how the brain modulates mammalian grouping behavior, likely due to issues concerning the feasibility of keeping large groups of non-human mammals in a laboratory setting. In this brief communication, I provide an update on advancements in the study of the neural mechanisms underlying mammalian grouping behavior ranging from the use of non-traditional organisms in the lab to the availability of new technology that is helping to propel this area of study forward.</p>
</sec>
<sec id="s2">
<title>Expansion of group-living mammals used in laboratory studies</title>
<p>Wild Norway rats (<italic>Rattus norvegicus</italic>) live in large colonies of roughly 150 individuals, with colonies typically consisting of several subgroups (<xref ref-type="bibr" rid="B23">Calhoun, 1962b</xref>; <xref ref-type="bibr" rid="B24">Calhoun, 1979</xref>; <xref ref-type="bibr" rid="B34">De Boer et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B95">Schweinfurth, 2020</xref>). Although the behavioral ecology of wild Norway rats includes large group-living, only a few studies in the past group-housed rats to explore aspects of grouping behavior (<xref ref-type="bibr" rid="B22">Calhoun, 1962a</xref>; <xref ref-type="bibr" rid="B23">Calhoun, 1962b</xref>; <xref ref-type="bibr" rid="B14">Blanchard et&#xa0;al., 1984a</xref>; <xref ref-type="bibr" rid="B12">Blanchard and Blanchard, 1989</xref>), and in recent decades domesticated rat strains used for neuroscience studies (i.e., Listar Hooded, Lewis, Fischer 344, Wistar, Sprague Dawley, Long Evans) are conventionally housed in dyads and sometimes alone (<xref ref-type="bibr" rid="B73">Makowska and Weary, 2016a</xref>; <xref ref-type="bibr" rid="B98">Skinner et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B89">Ratuski and Weary, 2022</xref>). Depending on the strain of domesticated rat, one sex may exhibit intense aggression toward same-sex conspecifics (<xref ref-type="bibr" rid="B13">Blanchard et&#xa0;al., 1984b</xref>; <xref ref-type="bibr" rid="B63">Kondrakiewicz et&#xa0;al., 2018</xref>), and thus examination of mixed-sex grouping behavior is often not feasible. Even in wild Norway rats, subgroups within colonies that are comprised of mixed-sex individuals typically contain only one male (<xref ref-type="bibr" rid="B95">Schweinfurth, 2020</xref>). This aside, while domesticated or wild rats could be used for studying same-sex grouping behavior, in the last ~30 years, rats have rarely been used for such studies possibly due to size-related constraints on housing.</p>
<p>Wild mice (<italic>Mus musculus</italic>) live in small family-groups, with males exhibiting strong territoriality but females being able to live peacefully with a few other adult females (<xref ref-type="bibr" rid="B32">Crowcroft, 1955</xref>; <xref ref-type="bibr" rid="B2">Anderson, 1961</xref>; <xref ref-type="bibr" rid="B20">Butler, 1980</xref>; <xref ref-type="bibr" rid="B26">Chambers et&#xa0;al., 2000</xref>). With the commercial availability of a variety of strains of laboratory mice, wild mice are not commonly used in social neuroscience studies. Laboratory mice often exhibit far more intense aggression than laboratory rats, particularly toward novel conspecifics (<xref ref-type="bibr" rid="B104">Vanoortmerssen, 1971</xref>; <xref ref-type="bibr" rid="B8">Baumans, 2004</xref>). Additionally, there is high amount of inter-strain variability in aggressiveness (<xref ref-type="bibr" rid="B51">Guillot and Chapouthier, 1996</xref>; <xref ref-type="bibr" rid="B63">Kondrakiewicz et&#xa0;al., 2018</xref>). However, some research groups successfully house same-sex groups of mice to examine dominance hierarchies. For example, ICR mice (Harlan Laboratories, Jerusalem, Israel) have been housed in groups of 16 adult males (<xref ref-type="bibr" rid="B97">Shemesh et&#xa0;al., 2014</xref>) and CD1 mice (Charles River, United States) have been housed in groups of 30 adult males (<xref ref-type="bibr" rid="B109">Williamson et&#xa0;al., 2016</xref>). Such studies in all-male groups of varying strains of laboratory mice can shed light on how the brain modulates social network status and dominance (<xref ref-type="bibr" rid="B99">So et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B109">Williamson et&#xa0;al., 2016</xref>), however, how behavior in these contexts may relate to natural behavior of wild mice, which are highly territorial and do not congregate in groups of 16+ males, is unclear. Although all-male mouse groups are used for studies of social networks and dominance hierarchies, some researchers have formed all-female groups (n = ~8 mice per group) of C57/BL6 mice to examine the influence of social isolation vs. group housing on cortical developmental and decision-making; interestingly, the authors stated in their paper that they were unable to test males because they cannot be housed together due to intense aggression (<xref ref-type="bibr" rid="B56">Hinton et&#xa0;al., 2019</xref>). Together, the study of grouping behavior in laboratory mice is likely only feasible in some strains and in only one sex.</p>
<p>Importantly, many scientists are not restricted to using laboratory rats and mice for social neuroscience experiments. An example of a non-traditional rodent that is used for studying the neural mechanisms of female grouping behavior is the meadow vole (<italic>Microtus pennsylvanicus</italic>). Adult meadow voles are solitary during the reproductive season (spring/summer) but aggregate in groups in the winter, with females forming multiple attachments to same-sex conspecifics that are both kin and non-kin (<xref ref-type="bibr" rid="B10">Beery et&#xa0;al., 2009</xref>). By manipulating photoperiod in the lab to mimic winter day length, studies in female meadow voles have elucidated neuroendocrinological underpinning of same-sex peer bonds (<xref ref-type="bibr" rid="B9">Beery, 2019</xref>). Use of this species also allows for the study of neural/behavioral flexibility given the seasonal shifts of meadow vole grouping.</p>
<p>An animal that is often featured on natural history television shows for their fantastic grouping behaviors including migration, foraging, food sharing, complex communication, and impressive memory for social and nonsocial acoustics, is the bat. A few research groups around the world use Egyptian fruit bats (<italic>Rousettus aegyptiacus</italic>) to examine the neural mechanisms of grouping behavior. Wild Egyptian fruit bats can be found in colonies ranging from 50 to thousands of individuals comprised of mixed-sex and mixed genetic relation (<xref ref-type="bibr" rid="B62">Kolodny et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B4">Bachorec et&#xa0;al., 2020</xref>). Studies using Egyptian fruit bats have identified social place cells in the hippocampus (<xref ref-type="bibr" rid="B84">Omer et&#xa0;al., 2018</xref>), and demonstrated that the hippocampus and cortex represent details of social interactions, including identity, context, shared spatial locations, and interaction history in freely interacting bat groups (<xref ref-type="bibr" rid="B93">Rose et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B44">Forli and Yartsev, 2023</xref>). While neuroscientists using Egyptian fruit bats are arguably producing the most [neuro]scientifically elegant datasets about grouping behavior, obtaining bats and maintaining breeding colonies can be difficult depending on regional and university restrictions.</p>
<p>Naked mole-rats (<italic>Heterocephalus glaber</italic>) are an excellent model for studying mechanisms of grouping behavior in the lab. This unusual, eusocial rodent lives entirely subterranean and has a proclivity for living in large numbers &#x2013; numbers so large that naked mole rats have evolved a unique physiology that is capable of tolerating extremely high levels of carbon dioxide and ammonia and low levels of oxygen (<xref ref-type="bibr" rid="B65">Larson and Park, 2009</xref>; <xref ref-type="bibr" rid="B66">Lavinka et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B41">Edrey et&#xa0;al., 2011</xref>). Naked mole-rats are small (28-57 grams) and can be housed in groups of ~50 in the lab (<xref ref-type="bibr" rid="B88">Ragland et&#xa0;al., 2022</xref>). Neuroscience studies examining grouping behaviors in naked mole-rats have examined the neuroendocrine regulation of pubertal suppression in colonies (<xref ref-type="bibr" rid="B85">Peragine et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B42">Faykoo-Martinez et&#xa0;al., 2021</xref>) and shown that the brain differentially responds to conspecifics dependent on the subcaste of the individual (<xref ref-type="bibr" rid="B54">Hathaway et&#xa0;al., 2016</xref>). A recent study demonstrated that there is cultural transmission of vocal dialect in naked mole-rats (<xref ref-type="bibr" rid="B5">Barker et&#xa0;al., 2021</xref>), and ongoing studies by this research group are examining neural circuitry of vocal communication using <italic>in vivo</italic> calcium imaging and electrophysiology.</p>
<p>The introduction of wild-derived, communally breeding rodents to the lab provides an exciting avenue for studying the neural mechanisms of mammalian grouping behavior in both sexes. Communal breeders are characterized by the shared care of offspring, typically by multiple females, but in some species by multiple females and males (<xref ref-type="bibr" rid="B106">Weidt et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B91">Riehl, 2021</xref>; <xref ref-type="bibr" rid="B71">Ma et&#xa0;al., 2022</xref>); depending on the species, shared care of offspring occurs between kin and non-kin individuals (<xref ref-type="bibr" rid="B106">Weidt et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B103">Tuckova et&#xa0;al., 2016</xref>). Common degus (<italic>Octodon degus</italic>) are a medium-sized rodent (170-300g) endemic to Chile that live in groups of 1-5 males and 1-8 females in the wild (<xref ref-type="bibr" rid="B39">Ebensperger et&#xa0;al., 2004</xref>; <xref ref-type="bibr" rid="B38">Ebensperger et&#xa0;al., 2011</xref>). Field studies suggest that social groups are unstable with high turnover of group members (<xref ref-type="bibr" rid="B37">Ebensperger et&#xa0;al., 2009</xref>). Degus have been successfully maintained in laboratories for studies examining stress endocrinology and circadian rhythms (<xref ref-type="bibr" rid="B58">Hummer et&#xa0;al., 2007</xref>; <xref ref-type="bibr" rid="B7">Bauer et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B6">Bauer et&#xa0;al., 2019</xref>), as well as for studies examining aspects of social motivation and social learning in dyads (<xref ref-type="bibr" rid="B69">Lidhar et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B70">Lidhar et&#xa0;al., 2021</xref>). Degus have been proposed as a useful model for social neuroscience research (<xref ref-type="bibr" rid="B29">Colonnello et&#xa0;al., 2011</xref>), however, to our knowledge very few studies have used degus for such purposes, and it appears that degus in laboratory research are currently primarily being used as a model for Alzheimer&#x2019;s disease (<xref ref-type="bibr" rid="B101">Tan et&#xa0;al., 2022</xref>). Given that there is a rich behavioral ecology on this species thanks to years of field studies, particularly about grouping behaviors (<xref ref-type="bibr" rid="B40">Ebensperger and Wallem, 2002</xref>; <xref ref-type="bibr" rid="B107">Wey et&#xa0;al., 2013</xref>), this lab-amenable rodent holds promise for studying how the brain facilitates various aspects of group-living.</p>
<p>In my lab, we use spiny mice (<italic>Acomys cahirinus</italic>), which are a communally breeding rodent native to Africa, the Middle East, and southern Asia (<xref ref-type="bibr" rid="B83">Nowak, 1999</xref>; <xref ref-type="bibr" rid="B33">Deacon, 2009</xref>; <xref ref-type="bibr" rid="B46">Frynta et&#xa0;al., 2011</xref>). Spiny mice (roughly 1/3 the size of a degu) readily breed in the lab and can be housed in adult groups of ~30 adult spiny mice (<xref ref-type="bibr" rid="B55">Haughton et&#xa0;al., 2016</xref>), allowing for the study of various grouping behaviors. Initial studies from my lab show that spiny mice exhibit a preference to affiliate with large over small groups of conspecifics, are highly affiliative, and exhibit little aggression in multiple social contexts (<xref ref-type="bibr" rid="B45">Fricker et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B49">Gonzalez Abreu et&#xa0;al., 2022</xref>). This high degree of sociality was also demonstrated in a study that found that established spiny mouse breeding groups will not only display low levels of aggression to unrelated newcomers, but also accept them into the group, which is uncommon in rodents (<xref ref-type="bibr" rid="B28">Cizkova et&#xa0;al., 2011</xref>). Adult females indiscriminately care for young pups, regardless of genetic relation (<xref ref-type="bibr" rid="B103">Tuckova et&#xa0;al., 2016</xref>); in our lab, we have also observed indiscriminate paternal care among adolescent and adult males (Kelly et&#xa0;al. unpub obs). Spiny mice are therefore ideally suited for the study of the neural mechanisms underlying various mammalian grouping behaviors. However, this species has only recently been used for neuroscience studies. Thus far, my lab has characterized basic social behaviors (<xref ref-type="bibr" rid="B45">Fricker et&#xa0;al., 2021</xref>), mapped social neural circuitry (<xref ref-type="bibr" rid="B60">Kelly and Seifert, 2021</xref>; <xref ref-type="bibr" rid="B87">Powell et&#xa0;al., 2022</xref>), and developed/validated the use of state-of-the-art technology (i.e., chemogenetic technology, functional genetic approaches, and fiber photometry) in spiny mice. We have shown that the hypothalamus may gate social reward in nonreproductive contexts via influences on reward circuitry (<xref ref-type="bibr" rid="B49">Gonzalez Abreu et&#xa0;al., 2022</xref>), found that the lateral septum differentially processes kin from non-kin, and identified neural circuits that facilitate the preference to affiliate with large groups (Kelly et&#xa0;al. unpub obs).</p>
<p>The ability to study affiliation in a group context in a species that naturally lives in successful, complex large groups without the need for pharmacological-induction or lab-induction (i.e., training or conditioning) can generate insight into how brains naturally evolved to facilitate large group-living. If we are to truly understand the evolution of social behavior, we need to consider the fact that various aspects of social behavior evolved independently many times. Thus, we cannot assume that relevant mechanisms have evolved similarly in all species. To build a solid foundation on which we study grouping behavior and relevant underlying mechanisms, it is important to examine a diversity of species within and across taxa. Doing so will ultimately help us determine the fundamental neural principles associated with the organization of particular social behaviors and how they evolved in relation to the behavioral ecology of an organism.</p>
</sec>
<sec id="s3">
<title>Room to breathe: Moving beyond small testing apparatuses and housing</title>
<p>Perhaps the most famous laboratory experiments on rodent grouping behavior were conducted by John B. Calhoun, an ethologist at the United States National Institutes of Mental Health in the mid 1900s. Calhoun created a room-sized pen to examine the growth and stability of a wild Norway rat population, which grew to 200 individuals but eventually stabilized at 150 individuals after roughly 2 years (<xref ref-type="bibr" rid="B23">Calhoun, 1962b</xref>). He later conducted another large group experiment in domesticated Norway rats using a converted barn that led to his findings of a &#x201c;behavioral sink&#x201d; in which rats voluntarily overcrowded in an area, despite negative outcomes, due to initial involuntary overcrowding (<xref ref-type="bibr" rid="B22">Calhoun, 1962a</xref>). These experiments resulted in high mortality rates and likely would not be considered ethical to conduct today. Yet, Calhoun&#x2019;s use of large spaces was innovative and allowed for the study of naturalistic grouping behavior. As I write this, eyeing the neighbor&#x2019;s barn down the road, I begrudgingly must admit that it is simply not feasible for most scientists to convert a barn into a behavioral testing room. Further, when the goal is to examine neural mechanisms of grouping behavior, there are limits on how many animals we can track and/or manipulate. However, we can certainly move beyond conventional &#x201c;shoebox&#x201d; rodent housing and use/create larger housing apparatuses as well as examine social interactions in large arenas rather than small cages.</p>
<p>Several labs have been very thoughtful and creative in designing housing and testing apparatuses for rodents. The visible burrow system, developed by Martha McClintock and Norman Adler to study sociosexual behavior (<xref ref-type="bibr" rid="B75">Mcclintock and Adler, 1978</xref>) and later popularized by Robert and Caroline Blanchard for studying social stress (<xref ref-type="bibr" rid="B12">Blanchard and Blanchard, 1989</xref>; <xref ref-type="bibr" rid="B15">Blanchard et&#xa0;al., 1995</xref>), has made a resurgence in the literature and has been used to examine group social stress, dominance, and social hierarchies in mice (<xref ref-type="bibr" rid="B17">Bove et&#xa0;al., 2018</xref>) and rats (<xref ref-type="bibr" rid="B21">Buwalda et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B77">Melhorn et&#xa0;al., 2017</xref>). Visible burrow systems vary in design, but are typically single-floored, large chambers that contain multiple compartments connected by tubes. With transparent Plexiglas covers/lids, top-down video recording can allow researchers to track animals and their locations. Because there are multiple compartments for animals to occupy, for rats and mice, males and females can be safely housed together to mimic a natural burrow system. Visible burrow systems can be made in-house with relative ease but are also available for purchase through companies such as Conduct Science (Stokie, Illinois, USA).</p>
<p>Custom vivariums made of metal and Plexiglas that comprise multiple floors connected by ladder systems have also been used for housing groups of mice to examine social networks (<xref ref-type="bibr" rid="B99">So et&#xa0;al., 2015</xref>). Such vivariums can be designed to fit on racks that typically hold rodent cages, and thus can be more easily accommodated in animal housing facilities and cleaned via industrial cage wash systems (a requirement for some institutions). Affordable alternatives are Critter Nation large cages available for purchase from companies such as MidWest Homes for Pets (Muncie, Indiana, USA). Critter Nation cages for small animals include wire cages with 2 levels (90cm L <italic>X</italic> 60cm W <italic>X</italic> 99cm H) or 4 levels (90cm L <italic>X</italic> 60cm W <italic>X</italic> 160cm H) on frames with wheels. Critter Nation cages have been successfully used to house rats in laboratories (<xref ref-type="bibr" rid="B73">Makowska and Weary, 2016a</xref>). Although multi-floored housing may mimic more naturalistic environments for rodents, it does not allow for top-down video recording and thus is not condusive for experiments that require continuous behavioral tracking.</p>
<p>The use of large arenas for housing or behavioral testing allows for top-down behavioral video recording amenable for behavioral tracking via computer vision. One research group housed groups of 16 male ICR mice in a complex cage, similar to those described above, during adolescence, and at adulthood moved groups of 4 mice into large arenas (70cm L <italic>X</italic> 50cm W <italic>X</italic> 50cm H) for behavioral testing and continuous video recording for 4 days (<xref ref-type="bibr" rid="B97">Shemesh et&#xa0;al., 2014</xref>). For testing spiny mice in group interaction tests, we use a large arena (120cm L <italic>X</italic> 120cm W <italic>X</italic> 60cm H) that contains transparent tubes and shelters so that all individuals can be continuously tracked (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). Large arenas, accompanied by enrichment available at pet stores, are an economical option for testing grouping behaviors and can be easily built to a size appropriate for various small mammals.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>An example of a group interaction test conducted in a large Plexiglas arena (120cm L <italic>X</italic> 120cm W <italic>X</italic> 60cm H). 14 adult spiny mice with individual color markings on their backs interact amidst enrichment including transparent shelters and tubes, a running wheel, rodent mazes, and ad libitum food and water. A large space gives individuals the option to group or remain solitary (e.g., see mouse alone under shelter on the right side of the chamber). This setup enables top-down video recording amenable to computer vision-based automated tracking.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fetho-02-1273613-g001.tif"/>
</fig>
<p>When animals are given space, their behavior typically changes from what we observe when they are tested or housed in small apparatuses. Rats and mice housed in visible burrow systems exhibit changes in circulating cortisol levels, circadian rhythmicity, neural plasticity, and feeding and drinking (<xref ref-type="bibr" rid="B76">Mckittrick et&#xa0;al., 2000</xref>; <xref ref-type="bibr" rid="B78">Melhorn et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B67">Lee et&#xa0;al., 2018</xref>). Rats housed in large Critter Nation cages exhibit differences in anticipatory behavior compared to rats housed in standard shoebox cages (<xref ref-type="bibr" rid="B73">Makowska and Weary, 2016a</xref>). Additionally, housing rats in large cages allows them to exhibit more naturalistic behaviors such as standing upright (<xref ref-type="bibr" rid="B74">Makowska and Weary, 2016b</xref>) and can have protective and neurorehabilitative effects (<xref ref-type="bibr" rid="B61">Kentner, 2015</xref>). Even with just two animals, when given a larger arena for interacting with another conspecific, researchers can more readily detect nuanced behaviors such as social vigilance (<xref ref-type="bibr" rid="B108">Williams et&#xa0;al., 2020</xref>). In spiny mice, we observe virtually no aggression when up to a dozen novel conspecifics are placed in a medium-size chamber (60cm L <italic>X</italic> 30cm W <italic>X</italic> 40cm H) with a single transparent shelter for an hour. However, when placed in a large arena (120cm L <italic>X</italic> 120cm W <italic>X</italic> 60cm H; see <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>), we observe chasing behavior within the first 10 min of group interactions (Kelly et&#xa0;al. unpub obs). While this seems counterintuitive &#x2013; after all, with more space, spiny mice could avoid conspecifics if desired &#x2013; it is possible that using a more semi-naturalistic environment with multiple resources to compete over elicits a behavioral repertoire that simply cannot emerge in simplistic environments. By using large cages/vivariums/arenas we can more feasibly house and test groups of animals together and provide them with space and resources akin to semi-naturalistic environments that are likely to produce ethologically-relevant behaviors in the laboratory.</p>
</sec>
<sec id="s4">
<title>Computer vision and continuous tracking</title>
<p>An exciting technological advancement in the field of animal behavior is the enhancement of animal tracking software. Novel machine learning systems such as TRex (<xref ref-type="bibr" rid="B105">Walter and Couzin, 2021</xref>) and SLEAP [Social LEAP Estimates Animal Poses; (<xref ref-type="bibr" rid="B86">Pereira et&#xa0;al., 2022</xref>)] are capable of tracking large groups of animals to determine the locations of multiple individuals in space. These systems are publicly available in relatively user-friendly formats that require minimal knowledge of coding. Further, more nuanced information about the types of behavior animals are engaging in (i.e., investigation, huddling, following, biting, allogrooming, etc.) can be acquired with additional computational frameworks. SimBA (Simple Behavioral Analysis; (<xref ref-type="bibr" rid="B82">Nilsson et&#xa0;al., 2020</xref>)) was created to study complex social behavior in freely moving animals. This open-source package allows for supervised machine learning and has been successfully used to identify complex social behavior during interactions between one or two rodents in a manner that yields high resolution and accuracies that out-perform human observers. To my knowledge, supervised machine learning predictive classifiers of <italic>group</italic> rodent social behavior have yet to be generated, but the tools are available for such analyses. Regardless, the ability to continuously track multiple animals to obtain location coordinates and distinct visual fields for specific individuals [see (<xref ref-type="bibr" rid="B105">Walter and Couzin, 2021</xref>)] can allow for rapid processing of countless hours of data needed to quantify social networks of groups. Animal tracking has recently been used to record small groups of mice over long periods of time and showed that group behavior arises from individuality, pairwise, and higher-order interactions between group members (<xref ref-type="bibr" rid="B97">Shemesh et&#xa0;al., 2014</xref>). Another group that used a custom computer vision-based automatic tracking system quantified 36 weeks-worth of continuous behavioral recordings in groups of 7 rats to examine shifts in group structure over time (<xref ref-type="bibr" rid="B81">Nagy et al., 2023</xref>). Such studies can generate unprecedented behavioral datasets that represent both individuals within a large group as well as the collective behavior of the group as a whole. Using such methods will not only save countless hours of manual labor scoring behavioral videos of group interactions but will also produce behavioral datasets that are more consistent and contain less bias than those collected by human observers. Notably, although computer vision and continuous tracking methods are exciting and promising, there are currently limitations to effectively using this technology. For example, humans are still needed for model tuning to avoid switching the identities of individuals in videos (<xref ref-type="bibr" rid="B53">Han et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B86">Pereira et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B27">Chen et&#xa0;al., 2023</xref>); identity swapping can occur with only two rodents, and this problem amplifies with a group of rodents. Using a combination of tools such as computer vision and RFID-based systems can help to overcome these complications (<xref ref-type="bibr" rid="B43">Fong et&#xa0;al., 2023</xref>) as the technology gradually advances.</p>
</sec>
<sec id="s5">
<title>Wireless neural recording and manipulation</title>
<p>Although wired neural recording and manipulation technologies (i.e., electrophysiology and optogenetics) have been widely available for well over a decade (particularly for electrophysiology) (<xref ref-type="bibr" rid="B19">Bullock, 1959</xref>; <xref ref-type="bibr" rid="B18">Boyden, 2011</xref>), in the field of animal behavior, a long-standing problem with using such tools has been the need to have subjects connected to cables for recording or manipulation. Not only does being tethered to cables alter an animal&#x2019;s movements, but trying to observe more than two rodents <italic>freely</italic> interacting typically results in the non-focal animal, and sometimes the subject themselves, playing with or chewing on the cables. Further, if trying to record from more than one animal at a time, cables simply get tangled together. Thankfully, in recent years, wireless versions of these tools have become commercially available, even in a variation where both wireless electrophysiology and optogenetics are in the same multimodal platform (<xref ref-type="bibr" rid="B11">Bilodeau et&#xa0;al., 2021</xref>). Studies in Egyptian fruit bats have used wireless electrophysiology to determine that in a small group setting (group size = 4) vocal interactions elicit stable correlated neural activity across the brains of all group members, and that single neuron activity in the frontal cortex exhibits selectivity for the calls of specific individuals (<xref ref-type="bibr" rid="B93">Rose et&#xa0;al., 2021</xref>). Another study in small sibling groups of transgenic mice (group size = 4) used wireless optogenetics to stimulate activation of oxytocin neurons in the paraventricular nucleus of the hypothalamus and found that stimulation of oxytocin release dynamically increased both pro- and anti-social behaviors (<xref ref-type="bibr" rid="B3">Anpilov et&#xa0;al., 2020</xref>). Wireless optogenetic devices are available in head-mounted and back-mounted devices, expanding the options for use in non-traditional rodents that vary in size compared to a domesticated rat or mouse (<xref ref-type="bibr" rid="B110">Yang et&#xa0;al., 2021</xref>). In addition to wireless electrophysiology and optogenetics, photometry approaches are becoming more widely incorporated into behavioral neuroscience studies, including in laboratories that use non-traditional rodents (<xref ref-type="bibr" rid="B80">Murphy et&#xa0;al., 2023</xref>). Fiber photometry is a user-friendly and flexible method that detects changes in fluorescence as a proxy marker for rapid molecular changes in the brain (<xref ref-type="bibr" rid="B52">Gunaydin et&#xa0;al., 2014</xref>). This technology has recently become available in a wireless version from the company Amuza Inc. (San Diego, California, USA). The efficacy of wireless fiber photometry has been demonstrated in freely behaving individual mice (<xref ref-type="bibr" rid="B25">Cardenas et&#xa0;al., 2021</xref>), and can be scaled to record simultaneously from 8 individuals that each have their own headstage and receiver, and thus have unique transmission channels. Such advancements in recording technology enable the real-time examination of neural activity in a manner in which animals are unencumbered by cables as they freely interact in group settings.</p>
<p>Chemogenetic technology and functional genetic approaches are also amenable for neuromanipulative studies examining grouping behavior, albeit with less temporal resolution. Such tools typically involve a one-time viral injection into a brain region(s) of choice and do not require an implant, thus likely resulting in more naturalistic behavior from animals. Chemogenetic tools such as Designer Receptors Exclusively Activated by Designer Drugs (DREADDs) enable manipulation of neuronal and non-neuronal signal transduction in freely moving animals (<xref ref-type="bibr" rid="B94">Roth, 2016</xref>) and have been successfully used in non-traditional models including voles (<xref ref-type="bibr" rid="B68">Li et&#xa0;al., 2021</xref>) and spiny mice (Kelly et&#xa0;al. unpub obs). DREADDs can be used to determine how individual brain regions or neural circuits contribute to any behavior of interest. Further, gene-editing approaches such as CRISPR/Cas9 strategies can allow for targeted knockdown or overexpression of specific cell types in distinct brain regions. An adeno-associated virus (AAV) based strategy to deliver CRISPR/Cas9 components to adult brain tissue to reduce oxytocin receptor protein levels <italic>in vivo</italic> was recently validated in prairie voles, golden hamsters, spiny mice, house mice, California mice, and Norway rats (<xref ref-type="bibr" rid="B16">Boender et&#xa0;al., 2023</xref>). Such tools can be used to determine the contributions of specific genes to behavior. Because chemogenetic and functional genetic approaches do not require animals to be tethered to cables to manipulate the brain, these tools can readily be used to examine neural mechanisms underlying grouping behaviors.</p>
</sec>
<sec id="s6" sec-type="conclusions">
<title>Conclusions</title>
<p>Due to an expansion of non-traditional species used in laboratory settings, in recent years more options have become available for examining how the brain facilitates a variety of grouping behaviors. By designing larger housing and testing chambers we can create semi-naturalistic environments in the laboratory, allowing groups of animals to exhibit more ethologically-relevant behaviors. Further, with advancements in computer vision-based automated tracking, scientists can now generate unprecedented behavioral datasets obtained from long-term studies of multiple interacting animals. Lastly, the increasing availability of wireless neural recording and manipulation tools allows for testing animals in group settings in a manner in which they can exhibit more naturalistic behaviors due to a lack of cables connected to head implants. Together, these approaches hold great promise for expanding our understanding of how the brain modulates complex, mammalian grouping behaviors.</p>
</sec>
<sec id="s7" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>AK: Conceptualization, Funding acquisition, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing.</p>
</sec>
</body>
<back>
<sec id="s9" sec-type="funding-information">
<title>Funding</title>
<p>The author declare financial support was received for the research, authorship, and/or publication of this article. This work was supported by the National Science Foundation (IOS-2310626 to AK).</p>
</sec>
<sec id="s10" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
<p>The author AK declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.</p>
</sec>
<sec id="s11" sec-type="disclaimer">
<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>
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