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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Psychiatry</journal-id>
<journal-title>Frontiers in Psychiatry</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Psychiatry</abbrev-journal-title>
<issn pub-type="epub">1664-0640</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpsyt.2023.1098210</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Psychiatry</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Tackling emotional processing in adults with attention deficit hyperactivity disorder and attention deficit hyperactivity disorder + autism spectrum disorder using emotional and action verbal fluency tasks</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Walter</surname> <given-names>Am&#x00E9;lia</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/2097251/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Martz</surname> <given-names>Emilie</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/2158265/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Weibel</surname> <given-names>S&#x00E9;bastien</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/453518/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Weiner</surname> <given-names>Luisa</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1284003/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Institut des Neurosciences Cellulaires et Int&#x00E9;gratives, Centre National de la Recherche Scientifique (UPR 3212), Strasbourg University</institution>, <addr-line>Strasbourg</addr-line>, <country>France</country></aff>
<aff id="aff2"><sup>2</sup><institution>Institut National de la Sant&#x00E9; et de la Recherche M&#x00E9;dicale U1114</institution>, <addr-line>Strasbourg</addr-line>, <country>France</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Psychiatry, University Hospital of Strasbourg</institution>, <addr-line>Strasbourg</addr-line>, <country>France</country></aff>
<aff id="aff4"><sup>4</sup><institution>Laboratoire de Psychologie des Cognitions, University of Strasbourg</institution>, <addr-line>Strasbourg</addr-line>, <country>France</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Andrea C. Samson, UniDistance Suisse, Switzerland</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Yael Enav, University of Haifa, Israel; Andreia P. Costa, University of Luxembourg, Luxembourg</p></fn>
<corresp id="c001">&#x002A;Correspondence: Am&#x00E9;lia Walter, <email>amelia.walter@etu.unistra.fr</email></corresp>
<fn fn-type="other" id="fn004"><p>This article was submitted to Autism, a section of the journal Frontiers in Psychiatry</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>01</day>
<month>02</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>14</volume>
<elocation-id>1098210</elocation-id>
<history>
<date date-type="received">
<day>14</day>
<month>11</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>09</day>
<month>01</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2023 Walter, Martz, Weibel and Weiner.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Walter, Martz, Weibel and Weiner</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>
<sec>
<title>Introduction</title>
<p>Attention Deficit Hyperactivity Disorder (ADHD) and Autism Spectrum Disorder (ASD) are two neurodevelopmental conditions with neuropsychological, social, emotional, and psychopathological similarities. Both are characterized by executive dysfunction, emotion dysregulation (ED), and psychiatric comorbidities. By focusing on emotions and embodied cognition, this study aims to improve the understanding of overlapping symptoms between ADHD and ASD through the use of verbal fluency tasks.</p>
</sec>
<sec>
<title>Methods</title>
<p>Fifty-two adults with ADHD, 13 adults with ADHD + ASD and 24 neurotypical (NT) participants were recruited in this study. A neuropsychological evaluation, including different verbal fluency conditions (e.g. emotional and action), was proposed. Subjects also completed several self-report questionnaires, such as scales measuring symptoms of ED.</p>
</sec>
<sec>
<title>Results</title>
<p>Compared to NT controls, adults with ADHD + ASD produced fewer anger-related emotions. Symptoms of emotion dysregulation were associated with an increased number of actions verbs and emotions produced in ADHD.</p>
</sec>
<sec>
<title>Discussion</title>
<p>The association between affective language of adults with ADHD and symptoms of emotion dysregulation may reflect their social maladjustment. Moreover, the addition of ADHD + ASD conditions may reflect more severe affective dysfunction.</p>
</sec>
</abstract>
<kwd-group>
<kwd>emotion dysregulation</kwd>
<kwd>verbal fluency</kwd>
<kwd>ADHD</kwd>
<kwd>ASD</kwd>
<kwd>neurodevelopmental disorders</kwd>
<kwd>executive functions</kwd>
</kwd-group>
<counts>
<fig-count count="1"/>
<table-count count="6"/>
<equation-count count="0"/>
<ref-count count="157"/>
<page-count count="15"/>
<word-count count="12878"/>
</counts>
</article-meta>
</front>
<body>
<sec id="S1" sec-type="intro">
<title>1. Introduction</title>
<p>Neurodevelopmental disorders affect 5&#x2013;15% of children (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>) and often persist over the lifetime with significant impact on adaptive, academic, and social functioning (<xref ref-type="bibr" rid="B3">3</xref>). Attention Deficit Hyperactivity Disorder (ADHD) and Autism Spectrum Disorder (ASD) in particular are among the most common neurodevelopmental disorders (<xref ref-type="bibr" rid="B4">4</xref>).</p>
<p>Attention deficit hyperactivity disorder is characterized by a triad of symptoms: i.e., inattention, hyperactivity, and impulsivity. In children, the prevalence is estimated between 7.2 and 9.4% (<xref ref-type="bibr" rid="B5">5</xref>). Moreover, ADHD symptoms persist in adulthood in two-thirds of them (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B7">7</xref>), as 4% of adults have ADHD (<xref ref-type="bibr" rid="B8">8</xref>&#x2013;<xref ref-type="bibr" rid="B10">10</xref>). Nevertheless, the clinical presentation of ADHD in adults is different: i.e., motor hyperactivity symptoms are internalized in favor of mental hyperactivity, and attentional difficulties persist or even increase (<xref ref-type="bibr" rid="B11">11</xref>&#x2013;<xref ref-type="bibr" rid="B14">14</xref>). In addition to these cognitive symptoms, adults with ADHD often report emotional difficulties. Indeed, emotion dysregulation (ED) concerns 30&#x2013;70% of adults with ADHD (<xref ref-type="bibr" rid="B15">15</xref>). Emotion dysregulation can be defined by three dimensions: affect control, affective lability, and emotional over-reactivity (<xref ref-type="bibr" rid="B16">16</xref>&#x2013;<xref ref-type="bibr" rid="B18">18</xref>). These symptoms can, respectively be reflected by irritability, frequent emotional fluctuations and greater emotional sensitivity. Importantly, neurodevelopmental and psychiatric comorbidities associated with ADHD are in part related to emotion dysregulation and its functional impact (<xref ref-type="bibr" rid="B19">19</xref>). Indeed, up to 75% of adults with ADHD have an associated psychiatric disorder (<xref ref-type="bibr" rid="B20">20</xref>), including depression in half the cases, anxiety disorders, bipolar disorder, and personality disorders (<xref ref-type="bibr" rid="B21">21</xref>). ADHD is also often associated with learning disabilities (<xref ref-type="bibr" rid="B22">22</xref>) and one in eight children have a co-occurring ASD (<xref ref-type="bibr" rid="B23">23</xref>).</p>
<p>Autism spectrum disorder is characterized by social communication peculiarities and the presence of restricted, repetitive behaviors (<xref ref-type="bibr" rid="B3">3</xref>). ASD affects approximately 1% of the world&#x2019;s population (<xref ref-type="bibr" rid="B24">24</xref>). Despite obvious differences between diagnostic criteria of ADHD and ASD, the differential diagnosis can be challenging. Indeed, both conditions are characterized by attention difficulties (<xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B26">26</xref>), disturbances in social interactions (<xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B28">28</xref>), and abnormal sensorial sensitivity (<xref ref-type="bibr" rid="B29">29</xref>). Furthermore, emotion dysregulation is also common among autistic individuals, affecting up to 80% of them (<xref ref-type="bibr" rid="B30">30</xref>). No study to date has accurately described the facets of emotion dysregulation in adults with autism. That said, several studies highlight irritability, aggression, self-injury, impulsivity (<xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B32">32</xref>) as manifestations of emotion dysregulation in children. Other studies have pointed out strong links between emotion dysregulation and other ASD symptoms such as anxiety (<xref ref-type="bibr" rid="B33">33</xref>), cognitive rigidity (<xref ref-type="bibr" rid="B34">34</xref>), and repetitive behaviors (<xref ref-type="bibr" rid="B35">35</xref>).</p>
<p>From a neuropsychological standpoint, emotional regulation is defined as the process of initiating, avoiding, inhibiting, maintaining, or modulating emotional states to accomplish individual goals or social adaptation (<xref ref-type="bibr" rid="B36">36</xref>). In neurodevelopmental conditions, emotion dysregulation is mainly explained by executive dysfunction (<xref ref-type="bibr" rid="B37">37</xref>, <xref ref-type="bibr" rid="B38">38</xref>). Executive functions refer to a set of high-level cognitive processes that enable goal-directed behavior and problem solving (<xref ref-type="bibr" rid="B39">39</xref>). Executive functions can be classified into two categories: &#x201C;cold&#x201D; executive functions, such as mental flexibility, inhibition, and working memory, and &#x201C;hot&#x201D; executive functions, associated with the processing of social-emotional components (<xref ref-type="bibr" rid="B40">40</xref>, <xref ref-type="bibr" rid="B41">41</xref>). These components include emotion regulation, empathy, rewards processing, and social adaptation (<xref ref-type="bibr" rid="B36">36</xref>, <xref ref-type="bibr" rid="B37">37</xref>). Most studies focusing on the neuropsychological mechanisms of emotion dysregulation in neurodevelopmental disorders emphasize the involvement of cold executive functions. As an example, Barkley&#x2019;s ADHD model (<xref ref-type="bibr" rid="B37">37</xref>) postulates that inhibition impairments cause emotional impulsivity (<xref ref-type="bibr" rid="B37">37</xref>, <xref ref-type="bibr" rid="B42">42</xref>). In ADHD, emotion dysregulation also results from an inability to engage in self-regulatory actions, such as the ability to refocus attention (<xref ref-type="bibr" rid="B42">42</xref>). In ASD, inhibition and mental flexibility deficits are thought to result in perseverative behaviors, which in turn are related to maladaptive emotion regulation strategies, such as excessive rumination (<xref ref-type="bibr" rid="B43">43</xref>&#x2013;<xref ref-type="bibr" rid="B46">46</xref>). When ADHD co-occurs with ASD, studies in children show that maladaptive emotion regulation strategies are exacerbated by ADHD symptoms (<xref ref-type="bibr" rid="B46">46</xref>). Therefore, the combination of these two conditions is characterized by more severe social and adaptive dysfunction compared to ADHD or ASD alone (<xref ref-type="bibr" rid="B47">47</xref>&#x2013;<xref ref-type="bibr" rid="B49">49</xref>).</p>
<p>One way to study cold and hot executive functions is to use verbal fluency tasks (VFT). VFT, particularly letter and semantic conditions (i.e., generation of a maximum of words based on a letter or a semantic cue during a given time), have long been used to assess the executive and language functioning of patients (e.g., <xref ref-type="bibr" rid="B50">50</xref>). VFT tap on lexical-semantic language processes (<xref ref-type="bibr" rid="B51">51</xref>), mental flexibility, inhibition, and information processing speed (<xref ref-type="bibr" rid="B52">52</xref>). These same processes are involved in the generation of emotional words (<xref ref-type="bibr" rid="B53">53</xref>). While the letter and semantic conditions preferentially target cold executive functions and semantic memory, respectively, the Emotional Word Fluency Test (EWFT), developed by Abeare et al. (<xref ref-type="bibr" rid="B54">54</xref>), assess the affective component of word production, i.e., affective language. Affective language corresponds to the production and comprehension of words or sentences with affective valence, but also emotional intonation and prosody (<xref ref-type="bibr" rid="B54">54</xref>). The EWFT consists of producing the maximum of emotion nouns during an allotted time (<xref ref-type="bibr" rid="B54">54</xref>). Disturbances in affective language have been found in several clinical populations, including individuals with right hemisphere brain damage (<xref ref-type="bibr" rid="B55">55</xref>, <xref ref-type="bibr" rid="B56">56</xref>), depressive disorder (<xref ref-type="bibr" rid="B57">57</xref>), schizophrenia (<xref ref-type="bibr" rid="B58">58</xref>), or ASD (<xref ref-type="bibr" rid="B59">59</xref>). Nevertheless, in clinical settings, the EWFT has only been used in studies with individuals with traumatic brain injury (<xref ref-type="bibr" rid="B60">60</xref>). Using the EWFT with healthy subjects, Abeare et al. (<xref ref-type="bibr" rid="B61">61</xref>) found that trait anxiety was positively correlated with the number of emotions with negative valence produced. Furthermore, they showed that the physiological response of the sympathetic nervous system, e.g., skin conductance, was higher during emotional word generation compared to a control task, i.e., semantic VFT (i.e., &#x201C;animal names&#x201D;).</p>
<p>Typically, performances on VFT are assessed by the number of words generated, rule breaks, and repetitions (<xref ref-type="bibr" rid="B62">62</xref>). However, these quantitative measures provide little information on the cognitive mechanisms (i.e., language or executive) involved in word output. Several qualitative methods have therefore been developed to identify the cognitive processes involved in spontaneous word generation. For example, Troyer et al. (<xref ref-type="bibr" rid="B63">63</xref>) investigated the involvement of lexical-semantic processing and executive functions in VFT, <italic>via</italic> clustering and switching. Clustering corresponds to the production of words within a semantic or phonemic category, while switching reflects the ability to shift efficiently to a new category. Moreover, VFT are also influenced by parameters of imaginability, and concreteness, as well as linguistic parameters (e.g., lexical frequency). Indeed, access to the lexical stock is facilitated for more frequent and concrete words (<xref ref-type="bibr" rid="B64">64</xref>, <xref ref-type="bibr" rid="B65">65</xref>). This facilitation allows a faster speed of word production, and an increased number of words produced for a specific time duration (<xref ref-type="bibr" rid="B66">66</xref>).</p>
<p>Few studies have investigated VFT performance in people with ADHD and autistic adults, and none have focused on affective language. For instance, adults with ADHD have been shown to produce fewer words than NT controls in semantic VFT (<xref ref-type="bibr" rid="B67">67</xref>, <xref ref-type="bibr" rid="B68">68</xref>), and especially in letter conditions (<xref ref-type="bibr" rid="B69">69</xref>, <xref ref-type="bibr" rid="B70">70</xref>). Since the letter conditions rely more on executive functions (<xref ref-type="bibr" rid="B71">71</xref>), these findings have been explained by the executive dysfunction usually associated with ADHD. In contrast, other studies found no deficits in VFT (<xref ref-type="bibr" rid="B72">72</xref>, <xref ref-type="bibr" rid="B73">73</xref>). Therefore, the results are overall inconsistent in ADHD, probably due to the fact that only the number of words and errors were measured in most studies. In studies focusing on process-oriented measures of VFT (i.e., clustering and switching), some authors reported a decrease in the number of switches in the ADHD + ASD group population (<xref ref-type="bibr" rid="B68">68</xref>), while others have found the opposite pattern (<xref ref-type="bibr" rid="B73">73</xref>).</p>
<p>In ASD, studies have found reduced (<xref ref-type="bibr" rid="B74">74</xref>&#x2013;<xref ref-type="bibr" rid="B76">76</xref>) or identical word count compared to control subjects in letter and semantic VFT (<xref ref-type="bibr" rid="B77">77</xref>&#x2013;<xref ref-type="bibr" rid="B79">79</xref>). In contrast, the process-oriented measures of VFT, including clustering, switching, imaginability, and concreteness, did not differ from the NT controls (<xref ref-type="bibr" rid="B75">75</xref>, <xref ref-type="bibr" rid="B77">77</xref>). These discrepant findings may be due to the heterogeneity of ASD presentations (<xref ref-type="bibr" rid="B80">80</xref>, <xref ref-type="bibr" rid="B81">81</xref>). Indeed, autistic adults without intellectual disability have been found to produce fewer words during the first thirty seconds of letter and semantic conditions of VFT, which could be explained by an initiation deficit (<xref ref-type="bibr" rid="B82">82</xref>). Autistic children, on the other hand, generate less prototypical exemplars of semantic categories than NT controls (<xref ref-type="bibr" rid="B83">83</xref>), which can be explained by semantic deficits involved in comprehension and expression difficulties (<xref ref-type="bibr" rid="B84">84</xref>&#x2013;<xref ref-type="bibr" rid="B86">86</xref>).</p>
<p>Regarding the assessment of hot executive functions using VFT, in ASD, most studies have focused on emotion identification, but not on affective word generation. Yet, emotional language disturbances involve both language comprehension and production (<xref ref-type="bibr" rid="B59">59</xref>). Autistic individuals produce sentences of greater duration, amplitude, and intensity than NT subjects (<xref ref-type="bibr" rid="B87">87</xref>). In addition, difficulties in identifying and describing one&#x2019;s own feelings, i.e., alexithymia, are common in ASD (<xref ref-type="bibr" rid="B88">88</xref>). These difficulties are associated with the production of fewer emotional words when subjects are talking about negative events (<xref ref-type="bibr" rid="B89">89</xref>). Moreover, autistic adults assign less nuanced intensity and valence to stimuli compared to NT subjects (<xref ref-type="bibr" rid="B90">90</xref>, <xref ref-type="bibr" rid="B91">91</xref>). For example, positive and negative images or words are evaluated less positively and negatively, respectively, than control subjects (<xref ref-type="bibr" rid="B92">92</xref>).</p>
<p>In ADHD, reduced abilities to recognize facial, vocal emotions (<xref ref-type="bibr" rid="B93">93</xref>, <xref ref-type="bibr" rid="B94">94</xref>), and contextual information (<xref ref-type="bibr" rid="B95">95</xref>) have been reported (<xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B96">96</xref>). In a study comparing children with ASD, ADHD, and ASD + ADHD, Tye et al. (<xref ref-type="bibr" rid="B97">97</xref>) found atypical processing of facial emotions for all the three groups. Specifically, autistic children displayed reduced neurophysiological response to angry faces in early stages of information processing. In contrast, children with ADHD displayed electrophysiological abnormality at the contextual processing stage when they were confronted with the emotions of fear and joy. The ADHD + ASD group presented an additive effect of the unique deficits of both conditions. Therefore, emotion processing seems to differ between the two groups, with autistic individuals presenting more difficulties at the early stages of processing of anger, whereas children with ADHD have difficulties at later stages of processing of fear and joy.</p>
<p>In addition to EWFT, other VFT involving embodied cognition may provide additional information about emotional processing in ADHD and ASD. Embodied cognition refers to the relationship between cognitive and bodily experience, which can be tackled <italic>via</italic> the VFT condition of action words generation (<xref ref-type="bibr" rid="B98">98</xref>, <xref ref-type="bibr" rid="B99">99</xref>). In this task condition, subjects have to produce as many names of action verbs as possible during an allotted time. Whereas other VFT (i.e., semantic and letter) involve mainly temporo-parietal regions (<xref ref-type="bibr" rid="B100">100</xref>), Action Verb Fluency Test (AVFT) is sensitive to the activation of left fronto-striatal circuits (<xref ref-type="bibr" rid="B101">101</xref>). Fronto-striatal circuits are involved in &#x201C;hot&#x201D; executive functions such as rewards processing, emotion regulation and motivational states (<xref ref-type="bibr" rid="B102">102</xref>), and dysfunction of these circuits is involved in the cognitive and motivational control impairment found in ADHD (<xref ref-type="bibr" rid="B103">103</xref>). Relatedly, the same regions are thought to be involved in the difficulties in predicting emotions and actions of others in ASD (<xref ref-type="bibr" rid="B104">104</xref>). When using AVFT with autistic adults, Inokuchi and Kamio (<xref ref-type="bibr" rid="B105">105</xref>) found a reduced production of semantic clusters and an increased production of phonological clusters compared to control subjects, which they attributed to initiation difficulties due to executive dysfunction (<xref ref-type="bibr" rid="B106">106</xref>). However, AVFT performance has not been investigated in ADHD.</p>
<p>To our knowledge, no study has compared the performance on the EWFT and the AVFT in adults with ADHD and ADHD + ASD. Yet, it is of the upmost importance to better understand the overlap between these two conditions, especially regarding emotional processing, given its impact on quality of life and social functioning. The present study aims to evaluate several types of VFT, including EWFT and AVFT, in adults with ADHD, ASD + ADHD, and NT controls. We are particularly interested in the relationship between emotion dysregulation and verbal fluency tasks performance on EWFT and AVFT in ADHD. To this end, the number of words and errors produced, but also the type, the valence, the arousal, and the dominance of words generated in the EWFT and the AVFT will be analyzed. Given that emotion dysregulation is found in ADHD and ASD, we hypothesize that affective language particularities, i.e., a reduction in the number of emotions produced on the EWFT, will be found both in ADHD, and ADHD + ASD compared to NT controls. However, since impairments at earlier stages of emotion identification are found in ASD (<xref ref-type="bibr" rid="B97">97</xref>) compared to ADHD (<xref ref-type="bibr" rid="B89">89</xref>, <xref ref-type="bibr" rid="B93">93</xref>), we expect adults with ADHD + ASD to produce fewer emotions on the EWFT compared to adults with ADHD. Due to abnormalities in the contextual processing stages of specific emotions (<xref ref-type="bibr" rid="B97">97</xref>), we also hypothesize that the emotion generation difficulties of adults with ADHD will be related to joy and fear. In view of results from a previous study on co-occurring ADHD + ASD (<xref ref-type="bibr" rid="B97">97</xref>), this group may present with the emotional particularities of both conditions with emotion generation difficulties related to joy, fear and anger. Regarding AVFT, given the primary deficits in predicting, and interpreting the actions of others (<xref ref-type="bibr" rid="B107">107</xref>), and motor issues involving fronto-striatal circuits (<xref ref-type="bibr" rid="B108">108</xref>) in ASD, adults with ADHD + ASD are expected to produce fewer and rarer (low frequency in the language) action verbs than adults with ADHD and NT controls, whereas adults with ADHD will produce fewer action verbs than NT adults. Nevertheless, due to the hyperactivity found in ADHD, the action verbs produced are expected to be more arousing than those found in NT.</p>
</sec>
<sec id="S2" sec-type="materials|methods">
<title>2. Materials and methods</title>
<sec id="S2.SS1">
<title>2.1. Participants</title>
<p>Fifty-two adults with ADHD aged 18&#x2013;57 (M = 34.75; SD = 11.49), and 13 adults with co-occurring ADHD + ASD aged 19&#x2013;67 (M = 32.15; SD = 13.95) without intellectual disability, communication difficulties, nor difference in gender distribution (see <xref ref-type="table" rid="T1">Table 1</xref>) were recruited from the University Hospital of Strasbourg. We were also interested in a group of 12 autistic adults aged 18&#x2013;48 (M = 26.92; SD = 8.35) from another study on emotion dysregulation conducted by our team. After diagnoses of ADHD and ASD were established by senior psychiatrists according to DSM-5 criteria (<xref ref-type="bibr" rid="B3">3</xref>), subjects were offered participation in one of the two studies. These diagnostic interviews also involve establishing a differential diagnosis between ASD and ADHD. Among the ADHD group, 78% of subjects had combined ADHD presentation, 20% of them had inattentive subtype, and the last 2% had hyperactive presentation. Subjects with psychopathological disorders, i.e., depressive disorders and anxiety, were excluded in the ADHD group but not in the ASD and ADHD + ASD group. Ten subjects from the ASD group had experienced one or more past depressive episodes. Four of them also suffered from anxiety disorders. In the ADHD + ASD group, four adults had depression, whereas three had an anxiety disorder. In addition, one participant had bipolar disorder. Twenty-four age-matched NT controls aged 20&#x2013;46 (M = 32.71; SD = 9.45) were recruited. These participants did not have any history of neurological, psychiatric, or substance use disorders and did not use any psychotropic medication. Adults with ADHD and ADHD + ASD had significantly higher ADHD symptoms (measured by the Wender-Reimherr Adult Attention Deficit Disorder Scale; (<xref ref-type="bibr" rid="B16">16</xref>), compared to NT controls (<italic>p</italic> &#x003C; 0.001; <xref ref-type="table" rid="T1">Table 1</xref>). In contrast, the Autism Spectrum Quotient score (AQ&#x2013;10 items); (<xref ref-type="bibr" rid="B109">109</xref>) and social adjustment difficulties (WRAADDS); (<xref ref-type="bibr" rid="B16">16</xref>) were higher in the ADHD + ASD group compared to the ADHD group (<italic>p</italic> = 0.011; <italic>p</italic> = 0.010, respectively) and to NT subjects (<italic>p</italic> &#x003C; 0.001). All participants were native French speakers. This study was approved by ethics committees (CPP South Mediterranean II; IDRCB: 2017-A01618-45 and CPP East of France; No. SI 21.01.21.41923).</p>
<table-wrap position="float" id="T1">
<label>TABLE 1</label>
<caption><p>Demographic, clinical and neuropsychological characteristics of participants in each group.</p></caption>
<table cellspacing="5" cellpadding="5" frame="box" rules="all">
<thead>
<tr>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;"></td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">ADHD (AD)<break/> (<italic>N</italic> = 52)</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">ADHD + ASD<break/> (AD + AS)<break/> (<italic>N</italic> = 13)</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">Neurotypical controls<break/> (NT) (<italic>N</italic> = 24)</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">Statistical<break/> analyses</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;"><italic>P</italic></td>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;"><italic>Post hoc</italic></td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="7" style="background-color: #dcdcdc;"><bold>Demographic characteristics</bold></td>
</tr>
<tr>
<td valign="top" align="left">Age</td>
<td valign="top" align="center">34.75 (11.49)</td>
<td valign="top" align="center">32.15 (13.95)</td>
<td valign="top" align="center">32.71 (9.45)</td>
<td valign="top" align="center">&#x03C7;<sup>2</sup> (2) = 1.699</td>
<td valign="top" align="center">0.428</td>
<td valign="top" align="left">/</td>
</tr>
<tr>
<td valign="top" align="left">Gender</td>
<td valign="top" align="center">46.14% F</td>
<td valign="top" align="center">38.46% F</td>
<td valign="top" align="center">66.66% F</td>
<td valign="top" align="center">&#x03C7;<sup>2</sup> (2) = 3.452</td>
<td valign="top" align="center">0.178</td>
<td valign="top" align="left">/</td>
</tr>
<tr>
<td valign="top" align="left">Years of education</td>
<td valign="top" align="center">13.61 (3.29)</td>
<td valign="top" align="center">15.09 (1.81)</td>
<td valign="top" align="center">15.37 (1.53)</td>
<td valign="top" align="center">&#x03C7;<sup>2</sup> (2) = 5.764</td>
<td valign="top" align="center">0.056</td>
<td valign="top" align="left">/</td>
</tr>
<tr>
<td valign="top" align="left">IQ estimation</td>
<td valign="top" align="center">111.19 (14.15)</td>
<td valign="top" align="center">108.55 (15.65)</td>
<td valign="top" align="center">105.00 (9.52)</td>
<td valign="top" align="center">F (2,65) = 1.635</td>
<td valign="top" align="center">0.203</td>
<td valign="top" align="left">/</td>
</tr>
<tr>
<td valign="top" align="left">WAIS-III&#x2013;vocabulary (SS)</td>
<td valign="top" align="center">12.12 (2.74)</td>
<td valign="top" align="center">13.00 (2.00)</td>
<td valign="top" align="center">10.71 (1.60)</td>
<td valign="top" align="center">&#x03C7;<sup>2</sup> (2) = 6.250</td>
<td valign="top" align="center"><bold>0.044</bold></td>
<td valign="top" align="left">AD + AS &#x003E; NT</td>
</tr>
<tr>
<td valign="top" align="left" colspan="7" style="background-color: #dcdcdc;"><bold>Clinical characteristics</bold></td>
</tr>
<tr>
<td valign="top" align="left">WRAADDS&#x2014;inattention</td>
<td valign="top" align="center">17.71 (3.85)</td>
<td valign="top" align="center">17.17 (3.92)</td>
<td valign="top" align="center">5.74 (4.34)</td>
<td valign="top" align="center">F (2,61) = 63.991</td>
<td valign="top" align="center"><bold>&#x003C;0.001<xref ref-type="table-fn" rid="t1fn1">&#x002A;</xref></bold></td>
<td valign="top" align="left">AD, AD + AS &#x003E; NT</td>
</tr>
<tr>
<td valign="top" align="left">WRAADDS&#x2014;hyperactivity</td>
<td valign="top" align="center">7.54 (3.24)</td>
<td valign="top" align="center">7.33 (1.86)</td>
<td valign="top" align="center">2.52 (2.39)</td>
<td valign="top" align="center">&#x03C7;<sup>2</sup> (2) = 25.138</td>
<td valign="top" align="center"><bold>&#x003C;0.001<xref ref-type="table-fn" rid="t1fn1">&#x002A;</xref></bold></td>
<td valign="top" align="left">AD, AD, AD + AS &#x003E; NT</td>
</tr>
<tr>
<td valign="top" align="left">WRAADDS&#x2014;impulsivity</td>
<td valign="top" align="center">12.31 (3.77)</td>
<td valign="top" align="center">10.50 (5.32)</td>
<td valign="top" align="center">4.00 (3.33)</td>
<td valign="top" align="center">&#x03C7;<sup>2</sup> (2) = 32.145</td>
<td valign="top" align="center"><bold>&#x003C;0.001<xref ref-type="table-fn" rid="t1fn1">&#x002A;</xref></bold></td>
<td valign="top" align="left">AD, AD + AS &#x003E; NT</td>
</tr>
<tr>
<td valign="top" align="left">WRAADDS&#x2014;affective Lability</td>
<td valign="top" align="center">11.69 (2.92)</td>
<td valign="top" align="center">11.33 (4.55)</td>
<td valign="top" align="center">6.00 (4.17)</td>
<td valign="top" align="center">&#x03C7;<sup>2</sup> (2) = 22.063</td>
<td valign="top" align="center"><bold>&#x003C;0.001<xref ref-type="table-fn" rid="t1fn1">&#x002A;</xref></bold></td>
<td valign="top" align="left">AD, AD + AS &#x003E; NT</td>
</tr>
<tr>
<td valign="top" align="left">WRAADDS&#x2014;emotional over-reactivity</td>
<td valign="top" align="center">12.80 (3.16)</td>
<td valign="top" align="center">13.33 (3.20)</td>
<td valign="top" align="center">5.13 (3.33)</td>
<td valign="top" align="center">&#x03C7;<sup>2</sup> (2) = 34.122</td>
<td valign="top" align="center"><bold>&#x003C;0.001<xref ref-type="table-fn" rid="t1fn1">&#x002A;</xref></bold></td>
<td valign="top" align="left">AD, AD + AS &#x003E; NT</td>
</tr>
<tr>
<td valign="top" align="left">WRAADDS&#x2014;social maladjustment</td>
<td valign="top" align="center">21.83 (8.42)</td>
<td valign="top" align="center">32.33 (8.71)</td>
<td valign="top" align="center">6.26 (6.67)</td>
<td valign="top" align="center">F (2,61) = 39.442</td>
<td valign="top" align="center"><bold>&#x003C;0.001<xref ref-type="table-fn" rid="t1fn1">&#x002A;</xref></bold></td>
<td valign="top" align="left">AD + AS &#x003E; AD &#x003E; NT</td>
</tr>
<tr>
<td valign="top" align="left">Autism spectrum quotient</td>
<td valign="top" align="center">4.29 (1.79)</td>
<td valign="top" align="center">6.50 (2.37)</td>
<td valign="top" align="center">2.87 (2.32)</td>
<td valign="top" align="center">F (2,64) = 12.801</td>
<td valign="top" align="center"><bold>&#x003C;0.001<xref ref-type="table-fn" rid="t1fn1">&#x002A;</xref></bold></td>
<td valign="top" align="left">AD + AS &#x003E; AD &#x003E; NT</td>
</tr>
<tr>
<td valign="top" align="left">BDI&#x2014;total</td>
<td valign="top" align="center">19.80 (10.64)</td>
<td valign="top" align="center">29.92 (18.28)</td>
<td valign="top" align="center">6.37 (5.95)</td>
<td valign="top" align="center">&#x03C7;<sup>2</sup> (2) = 25.780</td>
<td valign="top" align="center"><bold>&#x003C;0.001<xref ref-type="table-fn" rid="t1fn1">&#x002A;</xref></bold></td>
<td valign="top" align="left">AD, AD + AS &#x003E; NT</td>
</tr>
<tr>
<td valign="top" align="left">GAD-7&#x2014;total</td>
<td valign="top" align="center">9.29 (4.54)</td>
<td valign="top" align="center">5.80 (6.22)</td>
<td valign="top" align="center">2.79 (1.76)</td>
<td valign="top" align="center">&#x03C7;<sup>2</sup> (2) = 18.738</td>
<td valign="top" align="center"><bold>&#x003C;0.001<xref ref-type="table-fn" rid="t1fn1">&#x002A;</xref></bold></td>
<td valign="top" align="left">AD &#x003E; NT</td>
</tr>
<tr>
<td valign="top" align="left">TEMPS-A&#x2014;cyclothymic temperament</td>
<td valign="top" align="center">22.28 (7.98)</td>
<td valign="top" align="center">17.67 (10.31)</td>
<td valign="top" align="center">7.35 (5.80)</td>
<td valign="top" align="center">F (2,60) = 27.276</td>
<td valign="top" align="center"><bold>&#x003C;0.001<xref ref-type="table-fn" rid="t1fn1">&#x002A;</xref></bold></td>
<td valign="top" align="left">AD, AD + AS &#x003E; NT</td>
</tr>
<tr>
<td valign="top" align="left" colspan="7" style="background-color: #dcdcdc;"><bold>Neuropsychological characteristics</bold></td>
</tr>
<tr>
<td valign="top" align="left">VFT free (number of words)</td>
<td valign="top" align="center">69.03 (22.27)</td>
<td valign="top" align="center">54.91 (17.66)</td>
<td valign="top" align="center">73.54 (19.50)</td>
<td valign="top" align="center">F (2,64) = 1.698</td>
<td valign="top" align="center">0.191</td>
<td valign="top" align="left">/</td>
</tr>
<tr>
<td valign="top" align="left">VFT letter (number of words)</td>
<td valign="top" align="center">28.46 (6.95)</td>
<td valign="top" align="center">26.45 (7.02)</td>
<td valign="top" align="center">29.92 (6.91)</td>
<td valign="top" align="center">F (2,64) = 0.635</td>
<td valign="top" align="center">0.533</td>
<td valign="top" align="left">/</td>
</tr>
<tr>
<td valign="top" align="left">VFT semantic (number of words)</td>
<td valign="top" align="center">37.09 (8.04)</td>
<td valign="top" align="center">32.36 (8.22)</td>
<td valign="top" align="center">38.50 (6.28)</td>
<td valign="top" align="center">F (2,64) = 1.136</td>
<td valign="top" align="center">0.328</td>
<td valign="top" align="left">/</td>
</tr>
<tr>
<td valign="top" align="left">TMT Part B minus Part A (seconds)</td>
<td valign="top" align="center">36.52 (18.35)</td>
<td valign="top" align="center">24.82 (15.53)</td>
<td valign="top" align="center">30.41 (14.45)</td>
<td valign="top" align="center">&#x03C7;<sup>2</sup> (2) = 2.479</td>
<td valign="top" align="center">0.290</td>
<td valign="top" align="left">/</td>
</tr>
<tr>
<td valign="top" align="left">Stroop interference minus reading (sec)</td>
<td valign="top" align="center">34.37 (14.27)</td>
<td valign="top" align="center">29.02 (7.03)</td>
<td valign="top" align="center">25.83 (8.39)</td>
<td valign="top" align="center">&#x03C7;<sup>2</sup> (2) = 5.368</td>
<td valign="top" align="center">0.068</td>
<td valign="top" align="left">/</td>
</tr>
<tr>
<td valign="top" align="left">Digit span forward (number of digits)</td>
<td valign="top" align="center">6.31 (1.16)</td>
<td valign="top" align="center">5.83 (0.41)</td>
<td valign="top" align="center">6.67 (0.76)</td>
<td valign="top" align="center">&#x03C7;<sup>2</sup> (2) = 4.533</td>
<td valign="top" align="center">0.104</td>
<td valign="top" align="left">/</td>
</tr>
<tr>
<td valign="top" align="left">Digit span backward (number of digits)</td>
<td valign="top" align="center">5.20 (1.43)</td>
<td valign="top" align="center">4.67 (0.52)</td>
<td valign="top" align="center">5.79 (1.47)</td>
<td valign="top" align="center">&#x03C7;<sup>2</sup> (2) = 3.868</td>
<td valign="top" align="center">0.145</td>
<td valign="top" align="left">/</td>
</tr>
<tr>
<td valign="top" align="left">Hayling test inhibition (seconds)</td>
<td valign="top" align="center">60.04 (32.29)</td>
<td valign="top" align="center">57.47 (13.84)</td>
<td valign="top" align="center">63.73 (33.93)</td>
<td valign="top" align="center">&#x03C7;<sup>2</sup> (2) = 0.240</td>
<td valign="top" align="center">0.887</td>
<td valign="top" align="left">/</td>
</tr>
<tr>
<td valign="top" align="left">Hayling test inhibition (errors)</td>
<td valign="top" align="center">6.94 (3.73)</td>
<td valign="top" align="center">6.33 (3.33)</td>
<td valign="top" align="center">4.42 (2.43)</td>
<td valign="top" align="center">&#x03C7;<sup>2</sup> (2) = 6.708</td>
<td valign="top" align="center"><bold>0.035<xref ref-type="table-fn" rid="t1fn1">&#x002A;</xref></bold></td>
<td valign="top" align="left">AD &#x003E; NT</td>
</tr>
<tr>
<td valign="top" align="left">TAP Go-Nogo 1 out of 2 (errors)</td>
<td valign="top" align="center">0.97 (0.98)</td>
<td valign="top" align="center">1.17 (1.94)</td>
<td valign="top" align="center">0.75 (0.94)</td>
<td valign="top" align="center">&#x03C7;<sup>2</sup> (2) = 1.114</td>
<td valign="top" align="center">0.573</td>
<td valign="top" align="left">/</td>
</tr>
<tr>
<td valign="top" align="left">TAP Go-Nogo 2 out of 5 (errors)</td>
<td valign="top" align="center">0.34 (0.72)</td>
<td valign="top" align="center">0.17 (0.41)</td>
<td valign="top" align="center">0.04 (0.20)</td>
<td valign="top" align="center">&#x03C7;<sup>2</sup> (2) = 3.925</td>
<td valign="top" align="center">0.140</td>
<td valign="top" align="left">/</td>
</tr>
<tr>
<td valign="top" align="left">ToL (total correct)</td>
<td valign="top" align="center">4.86 (2.38)</td>
<td valign="top" align="center">4.33 (2.73)</td>
<td valign="top" align="center">4.25 (2.64)</td>
<td valign="top" align="center">F (2,62) = 0.919</td>
<td valign="top" align="center">0.640</td>
<td valign="top" align="left">/</td>
</tr>
<tr>
<td valign="top" align="left">ToL (additional movements)</td>
<td valign="top" align="center">26.80 (17.96)</td>
<td valign="top" align="center">28.33 (14.83)</td>
<td valign="top" align="center">28.46 (18.23)</td>
<td valign="top" align="center">&#x03C7;<sup>2</sup> (2) = 0.195</td>
<td valign="top" align="center">0.907</td>
<td valign="top" align="left">/</td>
</tr>
<tr>
<td valign="top" align="left">ToL (initation time)</td>
<td valign="top" align="center">73.30 (47.24)</td>
<td valign="top" align="center">56.16 (25.97)</td>
<td valign="top" align="center">61.29 (44.97)</td>
<td valign="top" align="center">&#x03C7;<sup>2</sup> (2) = 1.698</td>
<td valign="top" align="center">0.428</td>
<td valign="top" align="left">/</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="t1fn1"><p>&#x002A;<italic>p</italic> &#x003C; 0.05; Years of education, number of years after the first grade in elementary school; SS, scaled score. <italic>p</italic>-values in bold = significant <italic>post hoc</italic> comparisons.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="S2.SS2">
<title>2.2. Materials and procedures</title>
<p>All subjects, with the exception of the ASD group, participated in a neuropsychological assessment and completed self-report questionnaires. Autistic adults only completed the VFT conditions.</p>
<sec id="S2.SS2.SSS1">
<title>2.2.1. Questionnaires</title>
<p>Attention deficit hyperactivity disorder and ASD symptoms were, respectively measured by the Wender-Reimherr Adult Attention Deficit Disorder Scale (WRAADDS); (<xref ref-type="bibr" rid="B16">16</xref>) and the Autism spectrum Quotient (AQ&#x2013;10 items); (<xref ref-type="bibr" rid="B109">109</xref>). The WRAADDS is a self-reported scale assessing the three core symptoms of ADHD, some dimensions related to emotion dysregulation (e.g., affective lability and emotional over-reactivity), as well as other areas frequently disrupted in ADHD, such as organization, academic problems and social adjustment. The 10-item Autism Spectrum Quotient is a self-administered questionnaire used to assess traits of autism in adults without intellectual disability. Items are related to domains of the dyad of impairments, i.e., social communication peculiarities (e.g., I find it easy to &#x201C;read between the lines&#x201D; when someone is talking to me), restricted and repetitive behaviors (i.e., I like to collect information about categories of things).</p>
<p>Depressive and anxiety symptoms were measured by the Beck Depression Inventory (BDI); (<xref ref-type="bibr" rid="B110">110</xref>), and the Generalized Anxiety Disorder assessment 7-item (GAD-7); (<xref ref-type="bibr" rid="B111">111</xref>). These screening tools are used to measure the severity of depression and generalized anxiety in normal and psychiatric populations.</p>
<p>Emotion dysregulation was evaluated by the cyclothymic dimension of the Temperament Evaluation of Memphis, Pisa, Paris and San Diego-autoquestionnaire version (TEMPS-A); (<xref ref-type="bibr" rid="B112">112</xref>) and the WRAADDS (<xref ref-type="bibr" rid="B16">16</xref>). The TEMPS-A is a questionnaire designed to measure affective temperaments with four subscales: cyclothymic (e.g., my ability to think varies greatly from sharp to dull for no apparent reason), irritable (e.g., people tell me I blow up out of nowhere), hyperthymic (e.g., I love to tackle new projects, even if risky), and anxious (e.g., when someone is late coming home, I fear they may have had an accident). To study ED, in particular emotional lability in ADHD, we were interested in the cyclothymic temperament subscale of the TEMPS-A. All the scales used were self-reported and validated in French (<xref ref-type="bibr" rid="B113">113</xref>&#x2013;<xref ref-type="bibr" rid="B117">117</xref>) with Likert scales to consider the frequency of symptoms.</p>
</sec>
<sec id="S2.SS2.SSS2">
<title>2.2.2. Neuropsychological assessment</title>
<p>Intelligence quotient: In ADHD, ADHD + ASD, and NT groups, IQ was estimated <italic>via</italic> the matrix and the vocabulary subtests of the Wechsler Adult Intelligence Scale&#x2013;Third Edition (WAIS-III); (<xref ref-type="bibr" rid="B118">118</xref>), whereas the matrix and information subtests of the WAIS-IV (<xref ref-type="bibr" rid="B119">119</xref>) were used to estimate IQ in the ASD group.</p>
<p>Executive functions: verbal working memory was assessed by the digit-span task (WAIS-III); (<xref ref-type="bibr" rid="B108">108</xref>). The &#x201C;Go-Nogo&#x201D; subtests with 1-target and 2-target from the TAP 2.3 (<xref ref-type="bibr" rid="B120">120</xref>) and the Stroop task (D-KEFS); (<xref ref-type="bibr" rid="B121">121</xref>) were, respectively used to investigate motor inhibition and interference inhibition. In addition, the Hayling test (<xref ref-type="bibr" rid="B122">122</xref>) was administrated to evaluate semantic inhibition abilities. The &#x201C;Flexibility&#x201D; condition of the Stroop task and the Trail Making Test (TMT A&#x0026;B); (<xref ref-type="bibr" rid="B123">123</xref>) has been proposed to measure, respectively cognitive flexibility, speed and attention switching. The Tower of London test (<xref ref-type="bibr" rid="B124">124</xref>) was administrated to analyse planning strategies. In addition to EWFT and AVFT, three other conditions of VFT were used, i.e., the free word generation condition (<xref ref-type="bibr" rid="B125">125</xref>), as well as the semantic and letter conditions (<xref ref-type="bibr" rid="B62">62</xref>).</p>
</sec>
<sec id="S2.SS2.SSS3">
<title>2.2.3. EWFT and AVFT</title>
<p>Emotional Word Fluency Test (EWFT); (<xref ref-type="bibr" rid="B54">54</xref>): the EWFT measures the production of emotion words within 1 min. Similar to other VFT, three scores are generated, including the number of emotion words, the number of repetitions, and the number of rule breaks (i.e., non-emotion words). Feelings such as &#x201C;love,&#x201D; or typical adjectives describing an emotion such as &#x201C;happy&#x201D; were included. In order to measure the variety of the emotional lexicon, words were systematically categorized into one of the six basic emotions defined by Ekman (<xref ref-type="bibr" rid="B126">126</xref>). We used Plutchik&#x2019;s wheel of emotions (<xref ref-type="bibr" rid="B127">127</xref>), which is based on primary emotions and associated secondary ones. A percentage of the number of words generated by the subject related to each primary emotion (see <xref ref-type="table" rid="T2">Table 2</xref>) was calculated to compare the type of emotion. For example, the percentage of words related to joy compared to the total number of words produced was reported. We were also interested in the frequency of occurrence of every emotions produced in the whole sample. We then measured the average frequency of the emotions generated by each subject. This measure allows to evaluate the ability to produce more varied and less common emotions.</p>
<table-wrap position="float" id="T2">
<label>TABLE 2</label>
<caption><p>Examples of words related to the six primary emotions defined by Ekman (<xref ref-type="bibr" rid="B126">126</xref>) and Plutchik (<xref ref-type="bibr" rid="B127">127</xref>).</p></caption>
<table cellspacing="5" cellpadding="5" frame="box" rules="all">
<thead>
<tr>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;">Joy</td>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;">Fear</td>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;">Anger</td>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;">Sadness</td>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;">Surprise</td>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;">Disgust</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Joy</td>
<td valign="top" align="left">Fear</td>
<td valign="top" align="left">Anger</td>
<td valign="top" align="left">Sadness</td>
<td valign="top" align="left">Surprise</td>
<td valign="top" align="left">Disgust</td>
</tr>
<tr>
<td valign="top" align="left">Love</td>
<td valign="top" align="left">Anxiety</td>
<td valign="top" align="left">Envy</td>
<td valign="top" align="left">Melancholy</td>
<td valign="top" align="left">Astonishment</td>
<td valign="top" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">Happiness</td>
<td valign="top" align="left">Anguish</td>
<td valign="top" align="left">Hate</td>
<td valign="top" align="left">Depressed</td>
<td valign="top" align="left">&#x2013;</td>
<td valign="top" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">Excitement</td>
<td valign="top" align="left">Jealousy</td>
<td valign="top" align="left">Indignation</td>
<td valign="top" align="left">Despair</td>
<td valign="top" align="left">&#x2013;</td>
<td valign="top" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">Euphoria</td>
<td valign="top" align="left">Stress</td>
<td valign="top" align="left">Rage</td>
<td valign="top" align="left">Bitterness</td>
<td valign="top" align="left">&#x2013;</td>
<td valign="top" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">Pleasure</td>
<td valign="top" align="left">Panic</td>
<td valign="top" align="left">Fury</td>
<td valign="top" align="left">&#x2013;</td>
<td valign="top" align="left">&#x2013;</td>
<td valign="top" align="left">&#x2013;</td>
</tr>
</tbody>
</table></table-wrap>
<p>Action Verb Fluency Test (AVFT); (<xref ref-type="bibr" rid="B101">101</xref>): This task measures the production of action verbs within 1 min. The number of action nouns, repetitions, and rule violations (i.e., non-action words, such as &#x201C;appear&#x201D;) were calculated. The frequency of occurrence of action verbs was also averaged over the entire sample. Repetitions and errors were not analysed because their occurrences were too rare in the total sample.</p>
<p>Valence, arousal, dominance: Based on Osgood et al. (<xref ref-type="bibr" rid="B128">128</xref>), we analysed the valence, the arousal and the dominance of words. The valence refers to the pleasantness/unpleasantness of a word, while arousal refers to the intensity of the emotion provoked by the stimulus (<xref ref-type="bibr" rid="B129">129</xref>, <xref ref-type="bibr" rid="B130">130</xref>). Dominance is the subjectively measured degree of control exerted by a word. This dimension expresses the extent to which the word denotes something that is weak/submissive or strong/dominant (<xref ref-type="bibr" rid="B130">130</xref>). This method, previously used in the analysis of the EWFT (<xref ref-type="bibr" rid="B61">61</xref>) and the AVFT (<xref ref-type="bibr" rid="B131">131</xref>), corresponds to study the average valence, arousal, and dominance of words generated by using a corpus of English words (<xref ref-type="bibr" rid="B130">130</xref>). This corpus established for a total of 13,915 words allows quantifying these variables for the majority of emotional and action words evoked. For each word, a score for valence, arousal and dominance is available based on the ratings of one million subjects. Specifically, ratings on (i) the valence of each word ranging from unhappy to happy; (ii) arousal from excited to calm and (iii) dominance from in control to controlled are available (<xref ref-type="bibr" rid="B130">130</xref>). The French words generated in the VFT were translated and then back-translated with translation dictionaries, i.e., WordReference and Linguee. Translations were chosen according to previously generated words when several equivalents existed.</p>
</sec>
</sec>
<sec id="S2.SS3">
<title>2.3. Statistical analyses</title>
<p>Percentages for qualitative variables and means as well as standard deviations for quantitative variables were included in descriptive statistics. One-way ANOVA and <italic>post hoc</italic> Tukey were conducted to compare demographic and clinical variables between groups. One-way ANOVA and <italic>post hoc</italic> Tukey were also used for each VFT variables (i.e, quantity of words, errors, repetitions, valence, arousal, dominance, and percentage for each primary emotion). Assumptions for ANOVA were verified by the Shapiro-Wilk test for normality and by Levene&#x2019;s test for equality of variances. When the conditions could not be met, Kruskall-Wallis and Mann&#x2013;Whitney U tests were used to compare the results between groups. The alpha level was adjusted for multiple <italic>post hoc</italic> comparisons of VFT characteristics between groups using the false discovery rate (FDR) method (<xref ref-type="bibr" rid="B131">131</xref>). Statistical significance was set at 0.05. Pearson&#x2019;s correlation coefficients were computed in the ADHD groups only between VFT characteristics, clinical symptoms, and cognitive performances. Statistical analyses were performed with the Jasp&#x00A9; and the Jamovi&#x00A9; software.</p>
</sec>
</sec>
<sec id="S3" sec-type="results">
<title>3. Results</title>
<sec id="S3.SS1">
<title>3.1. Descriptive statistics</title>
<p>Compared to NT controls, adults with ADHD and with ADHD + ASD reported higher depressive symptoms [&#x03C7;<sup>2</sup> (2) = 25.780; <italic>p</italic> &#x003C; 0.001; <italic>p</italic> = 0.001] and cyclothymic traits [F (2,60) = 27.276; <italic>p</italic> &#x003C; 0.001; <italic>p</italic> = 0.012, respectively]. This is also the case for anxiety in adults with ADHD [&#x03C7;<sup>2</sup> (2) = 18,738; <italic>p</italic> &#x003C; 0.001]. Regarding neuropsychological measures, adults with ADHD made more errors on the Hayling Test compared to NT subjects [&#x03C7;<sup>2</sup> (2) = 6,708; <italic>p</italic> = 0.013].</p>
</sec>
<sec id="S3.SS2">
<title>3.2. EWFT and AVFT characteristics</title>
<p>First, one-way ANOVA shows that the arousal of emotions produced is significantly different between groups [F (2,86) = 4.074; p = 0.020]. <italic>Post-hoc</italic> test revealed that adults with ADHD generated significantly more arousing emotions (M = 5.29; <italic>p</italic> = 0.033; <xref ref-type="fig" rid="F1">Figure 1</xref>) than NT subjects (M = 5.08). This result is no longer significant after FDR correction (<italic>p</italic> = 0.099). Regarding the type of emotions, adults with ADHD + ASD produced fewer anger-related words (M = 12%) compared to adults with ADHD [M = 24%; &#x03C7;<sup>2</sup> (2) = 8.339; <italic>p</italic> = 0.015 with FDR; <xref ref-type="table" rid="T3">Table 3</xref>] and NT controls (M = 24%; <italic>p</italic> = 0.022 with FDR). Regarding disgust and surprise the number of occurrences of related words was too rare to be analysed.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption><p>Median arousal of emotions produced in the emotion word fluency test (EWFT) according to diagnostic groups. &#x002A;<italic>p</italic> = 0.033, after the false discovery rate (FDR) correction, <italic>p</italic> = 0.099.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyt-14-1098210-g001.tif"/>
</fig>
<table-wrap position="float" id="T3">
<label>TABLE 3</label>
<caption><p>Emotional word fluency test (EWFT) and action verb fluency test (AVFT) characteristics in each group.</p></caption>
<table cellspacing="5" cellpadding="5" frame="box" rules="all">
<thead>
<tr>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;"></td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">ADHD (AD)<break/> (<italic>N</italic> = 52)</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">ADHD + ASD (AS + AD)<break/> (<italic>N</italic> = 13)</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">Neurotypical controls (NT)<break/> (<italic>N</italic> = 24)</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">Statistical<break/> analyses</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;"><italic>P</italic></td>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;"><italic>Post hoc</italic></td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">EWFT&#x2013;number of words</td>
<td valign="top" align="center">7.52 (2.42)</td>
<td valign="top" align="center">8.15 (3.16)</td>
<td valign="top" align="center">8.67 (2.84)</td>
<td valign="top" align="center">F (2,86) = 1.598</td>
<td valign="top" align="center">0.208</td>
<td valign="top" align="left">/</td>
</tr>
<tr>
<td valign="top" align="left">EWFT&#x2013;rule breaks</td>
<td valign="top" align="center">3.73 (3.36)</td>
<td valign="top" align="center">2.61 (3.15)</td>
<td valign="top" align="center">3.08 (2.38)</td>
<td valign="top" align="center">&#x03C7;<sup>2</sup> (2) = 2.869</td>
<td valign="top" align="center">0.238</td>
<td valign="top" align="left">/</td>
</tr>
<tr>
<td valign="top" align="left">EWFT&#x2013;repetitions</td>
<td valign="top" align="center">0.38 (0.74)</td>
<td valign="top" align="center">0.15 (0.38)</td>
<td valign="top" align="center">0.42 (0.83)</td>
<td valign="top" align="center">&#x03C7;<sup>2</sup> (2) = 0.783</td>
<td valign="top" align="center">0.676</td>
<td valign="top" align="left">/</td>
</tr>
<tr>
<td valign="top" align="left">EWFT&#x2013;frequency</td>
<td valign="top" align="center">0.05 (0.01)</td>
<td valign="top" align="center">0.05 (0.02)</td>
<td valign="top" align="center">0.04 (0.01)</td>
<td valign="top" align="center">F (2,86) = 0.469</td>
<td valign="top" align="center">0.628</td>
<td valign="top" align="left">/</td>
</tr>
<tr>
<td valign="top" align="left">EWFT&#x2013;valence</td>
<td valign="top" align="center">4.59 (0.71)</td>
<td valign="top" align="center">4.64 (0.44)</td>
<td valign="top" align="center">4.41 (0.64)</td>
<td valign="top" align="center">F (2,86) = 0.715</td>
<td valign="top" align="center">0.492</td>
<td valign="top" align="left">/</td>
</tr>
<tr>
<td valign="top" align="left">EWFT&#x2013;arousal</td>
<td valign="top" align="center">5.29 (0.35)</td>
<td valign="top" align="center">5.09 (0.36)</td>
<td valign="top" align="center">5.08 (0.28)</td>
<td valign="top" align="center">F (2,86) = 4.074</td>
<td valign="top" align="center"><bold>0.020<xref ref-type="table-fn" rid="t3fn1">&#x002A;</xref></bold></td>
<td valign="top" align="left">AD &#x003E; NT</td>
</tr>
<tr>
<td valign="top" align="left">EWFT&#x2013;dominance</td>
<td valign="top" align="center">5.05 (0.44)</td>
<td valign="top" align="center">4.91 (0.23)</td>
<td valign="top" align="center">4.88 (0.40)</td>
<td valign="top" align="center">F (2,86) = 1.555</td>
<td valign="top" align="center">0.217</td>
<td valign="top" align="left">/</td>
</tr>
<tr>
<td valign="top" align="left">EWFT&#x2013;% joy</td>
<td valign="top" align="center">35% (14%)</td>
<td valign="top" align="center">35% (8%)</td>
<td valign="top" align="center">31% (13%)</td>
<td valign="top" align="center">F (2,86) = 0.692</td>
<td valign="top" align="center">0.503</td>
<td valign="top" align="left">/</td>
</tr>
<tr>
<td valign="top" align="left">EWFT&#x2013;% sadness</td>
<td valign="top" align="center">20% (12%)</td>
<td valign="top" align="center">27% (19%)</td>
<td valign="top" align="center">19% (10%)</td>
<td valign="top" align="center">F (2,86) = 1.800</td>
<td valign="top" align="center">0.653</td>
<td valign="top" align="left">/</td>
</tr>
<tr>
<td valign="top" align="left">EWFT&#x2013;% anger</td>
<td valign="top" align="center">24% (15%)</td>
<td valign="top" align="center">12% (9%)</td>
<td valign="top" align="center">24% (16%)</td>
<td valign="top" align="center">&#x03C7;<sup>2</sup> (2) = 8.339</td>
<td valign="top" align="center"><bold>0.015<xref ref-type="table-fn" rid="t3fn2">&#x002A;&#x002A;</xref></bold></td>
<td valign="top" align="left">AD, NT &#x003E; AS + AD</td>
</tr>
<tr>
<td valign="top" align="left">EWFT&#x2013;% fear</td>
<td valign="top" align="center">18% (16%)</td>
<td valign="top" align="center">24% (16%)</td>
<td valign="top" align="center">22% (14%)</td>
<td valign="top" align="center">&#x03C7;<sup>2</sup> (2) = 3.829</td>
<td valign="top" align="center">0.147</td>
<td valign="top" align="left">/</td>
</tr>
<tr>
<td valign="top" align="left">EWFT&#x2013;% disgust</td>
<td valign="top" align="center">1% (4%)</td>
<td valign="top" align="center">1% (3%)</td>
<td valign="top" align="center">0% (2%)</td>
<td valign="top" align="center">&#x03C7;<sup>2</sup> (2) = 0.411</td>
<td valign="top" align="center"><bold>/</bold></td>
<td valign="top" align="left">/</td>
</tr>
<tr>
<td valign="top" align="left">EWFT&#x2013;% surprise</td>
<td valign="top" align="center">2% (6%)</td>
<td valign="top" align="center">1% (4%)</td>
<td valign="top" align="center">3% (6%)</td>
<td valign="top" align="center">&#x03C7;<sup>2</sup> (2) = 1.386</td>
<td valign="top" align="center"><bold>/</bold></td>
<td valign="top" align="left">/</td>
</tr>
<tr>
<td valign="top" align="left">AVFT&#x2013;number of words</td>
<td valign="top" align="center">18.22 (5.59)</td>
<td valign="top" align="center">14.69 (3.94)</td>
<td valign="top" align="center">19.54 (5.07)</td>
<td valign="top" align="center">F (2,85) = 3.655</td>
<td valign="top" align="center"><bold>0.030<xref ref-type="table-fn" rid="t3fn1">&#x002A;</xref></bold></td>
<td valign="top" align="left">NT &#x003E; AS + AD</td>
</tr>
<tr>
<td valign="top" align="left">AVFT&#x2013;rule breaks</td>
<td valign="top" align="center">0.41 (1.47)</td>
<td valign="top" align="center">0.31 (0.85)</td>
<td valign="top" align="center">0.00 (0.00)</td>
<td valign="top" align="center">/</td>
<td valign="top" align="center">/</td>
<td valign="top" align="left">/</td>
</tr>
<tr>
<td valign="top" align="left">AVFT&#x2013;repetitions</td>
<td valign="top" align="center">0.41 (0.70)</td>
<td valign="top" align="center">0.15 (0.38)</td>
<td valign="top" align="center">0.67 (1.05)</td>
<td valign="top" align="center">&#x03C7;<sup>2</sup> (2) = 2.619</td>
<td valign="top" align="center">0.270</td>
<td valign="top" align="left">/</td>
</tr>
<tr>
<td valign="top" align="left">AVFT&#x2013;frequency</td>
<td valign="top" align="center">0.01 (0.00)</td>
<td valign="top" align="center">0.01 (0.00)</td>
<td valign="top" align="center">0.01 (0.00)</td>
<td valign="top" align="center">&#x03C7;<sup>2</sup> (2) = 2.038</td>
<td valign="top" align="center">0.361</td>
<td valign="top" align="left">/</td>
</tr>
<tr>
<td valign="top" align="left">AVFT&#x2013;valence</td>
<td valign="top" align="center">5.76 (0.42)</td>
<td valign="top" align="center">5.83 (0.39)</td>
<td valign="top" align="center">5.84 (0.33)</td>
<td valign="top" align="center">F (2,85) = 0.452</td>
<td valign="top" align="center">0.638</td>
<td valign="top" align="left">/</td>
</tr>
<tr>
<td valign="top" align="left">AVFT&#x2013;arousal</td>
<td valign="top" align="center">4.30 (0.23)</td>
<td valign="top" align="center">4.27 (0.26)</td>
<td valign="top" align="center">4.31 (0.18)</td>
<td valign="top" align="center">F (2,85) = 0.107</td>
<td valign="top" align="center">0.898</td>
<td valign="top" align="left">/</td>
</tr>
<tr>
<td valign="top" align="left">AVFT&#x2013;dominance</td>
<td valign="top" align="center">5.71 (0.29)</td>
<td valign="top" align="center">5.80 (0.30)</td>
<td valign="top" align="center">5.83 (0.21)</td>
<td valign="top" align="center">F (2,85) = 1.670</td>
<td valign="top" align="center">0.194</td>
<td valign="top" align="left">/</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="t3fn1"><p>&#x002A;<italic>p</italic> &#x003C; 0.05.</p></fn>
<fn id="t3fn2"><p>&#x002A;&#x002A;Comparisons that remain significant after the false discovery rate (FDR) correction.</p></fn>
<fn><p><italic>P</italic>-values in bold = significant <italic>post hoc</italic> comparisons.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Regarding the AVFT, differences between groups are significant for the number of words produced [F (2,85) = 3.655; <italic>p</italic> = 0.030]. Adults with ADHD + ASD produced fewer actions (M = 14.69) compared to NT subjects (M = 19.54; <italic>p</italic> = 0.024). However, this difference was no longer significant after the FDR correction (<italic>p</italic> = 0.072). The other measures, including rule breaks, repetitions, frequency, valence, arousal and dominance of generated words did not differ significantly between groups.</p>
<p>Secondly, we also looked at the VFT performance of a group of adults with ASD only (<xref ref-type="table" rid="T4">Table 4</xref>). Autistic adults produced more emotions (M = 10.67) and fewer rule breaks (M = 1.92) compared to subjects with ADHD (M = 7.52, <italic>p</italic> = 0.003; M = 3.73, <italic>p</italic> = 0.032, respectively; <xref ref-type="table" rid="T4">Table 4</xref>). Only the difference in the number of emotions produced remained significant after the FDR correction (<italic>p</italic> = 0.018).</p>
<table-wrap position="float" id="T4">
<label>TABLE 4</label>
<caption><p>Comparison of demographic and neuropsychological characteristics of autistic adults (<italic>n</italic> = 12) with the three other groups.</p></caption>
<table cellspacing="5" cellpadding="5" frame="box" rules="all">
<thead>
<tr>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;"></td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">ASD (AS)<break/> (<italic>N</italic> = 12)</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">Statistical analyses</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;"><italic>P</italic></td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;"><italic>Post hoc</italic></td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="5" style="background-color: #dcdcdc;"><bold>Demographic characteristics</bold></td>
</tr>
<tr>
<td valign="top" align="left">Age</td>
<td valign="top" align="center">26.92 (8.35)</td>
<td valign="top" align="center">&#x03C7;<sup>2</sup> (3) = 5.736</td>
<td valign="top" align="center">0.125</td>
<td valign="top" align="center">/</td>
</tr>
<tr>
<td valign="top" align="left">Gender</td>
<td valign="top" align="center">41.66% F</td>
<td valign="top" align="center">&#x03C7;<sup>2</sup> (3) = 3.830</td>
<td valign="top" align="center">0.280</td>
<td valign="top" align="center">/</td>
</tr>
<tr>
<td valign="top" align="left">Years of education</td>
<td valign="top" align="center">14.67 (1.63)</td>
<td valign="top" align="center">&#x03C7;<sup>2</sup> (3) = 6.047</td>
<td valign="top" align="center">0.109</td>
<td valign="top" align="center">/</td>
</tr>
<tr>
<td valign="top" align="left">IQ estimation</td>
<td valign="top" align="center">114.65 (15.82)</td>
<td valign="top" align="center">F (3,72) = 1.529</td>
<td valign="top" align="center">0.214</td>
<td valign="top" align="center">/</td>
</tr>
<tr>
<td valign="top" align="left">WAIS-IV&#x2013;information (SS)</td>
<td valign="top" align="center">14.00 (2.88)</td>
<td valign="top" align="center">/</td>
<td valign="top" align="center">/</td>
<td valign="top" align="center">/</td>
</tr>
<tr>
<td valign="top" align="left" colspan="5" style="background-color: #dcdcdc;"><bold>Neuropsychological characteristics</bold></td>
</tr>
<tr>
<td valign="top" align="left">VFT free (number of words)</td>
<td valign="top" align="center">54.00 (23.95)</td>
<td valign="top" align="center">F (3,65) = 1.171</td>
<td valign="top" align="center">0.021<xref ref-type="table-fn" rid="t4fn1">&#x002A;</xref></td>
<td valign="top" align="center">/</td>
</tr>
<tr>
<td valign="top" align="left">VFT letter (number of words)</td>
<td valign="top" align="center">23.73 (6.39)</td>
<td valign="top" align="center">F (3,65) = 0.465</td>
<td valign="top" align="center">0.087</td>
<td valign="top" align="center">/</td>
</tr>
<tr>
<td valign="top" align="left">VFT semantic (number of words)</td>
<td valign="top" align="center">33.36 (6.96)</td>
<td valign="top" align="center">F (3,65) = 0.893</td>
<td valign="top" align="center">0.072</td>
<td valign="top" align="center">/</td>
</tr>
<tr>
<td valign="top" align="left">EWFT&#x2013;number of words</td>
<td valign="top" align="center">10.67 (3.31)</td>
<td valign="top" align="center">F (3,97) = 4.557</td>
<td valign="top" align="center"><bold>0.005<xref ref-type="table-fn" rid="t4fn2">&#x002A;&#x002A;</xref></bold></td>
<td valign="top" align="center">AS &#x003E; AD</td>
</tr>
<tr>
<td valign="top" align="left">EWFT&#x2013;rule breaks</td>
<td valign="top" align="center">1.92 (2.19)</td>
<td valign="top" align="center">&#x03C7;<sup>2</sup> (3) = 6.432</td>
<td valign="top" align="center"><bold>0.092</bold></td>
<td valign="top" align="center">AD &#x003E; AS</td>
</tr>
<tr>
<td valign="top" align="left">EWFT&#x2013;repetitions</td>
<td valign="top" align="center">0.17 (0.39)</td>
<td valign="top" align="center">&#x03C7;<sup>2</sup> (3) = 1.243</td>
<td valign="top" align="center">0.544</td>
<td valign="top" align="center">/</td>
</tr>
<tr>
<td valign="top" align="left">EWFT&#x2013;frequency</td>
<td valign="top" align="center">0.04 (0.01)</td>
<td valign="top" align="center">F (3,97) = 0.698</td>
<td valign="top" align="center">0.556</td>
<td valign="top" align="center">/</td>
</tr>
<tr>
<td valign="top" align="left">EWFT&#x2013;valence</td>
<td valign="top" align="center">4.23 (0.81)</td>
<td valign="top" align="center">F (3,97) = 1.247</td>
<td valign="top" align="center">0.297</td>
<td valign="top" align="center">/</td>
</tr>
<tr>
<td valign="top" align="left">EWFT&#x2013;arousal</td>
<td valign="top" align="center">5.17 (0.16)</td>
<td valign="top" align="center">F (3,97) = 3.015</td>
<td valign="top" align="center"><bold>0.067</bold></td>
<td valign="top" align="center">AD &#x003E; NT</td>
</tr>
<tr>
<td valign="top" align="left">EWFT&#x2013;dominance</td>
<td valign="top" align="center">4.78 (0.34)</td>
<td valign="top" align="center">F (3,97) = 1.960</td>
<td valign="top" align="center">0.125</td>
<td valign="top" align="center">/</td>
</tr>
<tr>
<td valign="top" align="left">EWFT&#x2013;% joy</td>
<td valign="top" align="center">25% (14%)</td>
<td valign="top" align="center">F (3,97) = 1.905</td>
<td valign="top" align="center">0.134</td>
<td valign="top" align="center">/</td>
</tr>
<tr>
<td valign="top" align="left">EWFT&#x2013;% sadness</td>
<td valign="top" align="center">19% (9%)</td>
<td valign="top" align="center">&#x03C7;<sup>2</sup> (3) = 0.987</td>
<td valign="top" align="center">0.804</td>
<td valign="top" align="center">/</td>
</tr>
<tr>
<td valign="top" align="left">EWFT&#x2013;% anger</td>
<td valign="top" align="center">18% (11%)</td>
<td valign="top" align="center">&#x03C7;<sup>2</sup> (3) = 9.806</td>
<td valign="top" align="center"><bold>0.020<xref ref-type="table-fn" rid="t4fn2">&#x002A;&#x002A;</xref></bold></td>
<td valign="top" align="center">AD, NT &#x003E; AS + AD</td>
</tr>
<tr>
<td valign="top" align="left">EWFT&#x2013;% fear</td>
<td valign="top" align="center">29% (12%)</td>
<td valign="top" align="center">&#x03C7;<sup>2</sup> (3) = 7.969</td>
<td valign="top" align="center"><bold>0.047<xref ref-type="table-fn" rid="t4fn1">&#x002A;</xref></bold></td>
<td valign="top" align="center">AS &#x003E; AD</td>
</tr>
<tr>
<td valign="top" align="left">EWFT&#x2013;% disgust</td>
<td valign="top" align="center">7% (6%)</td>
<td valign="top" align="center">/</td>
<td valign="top" align="center"><bold>/</bold></td>
<td valign="top" align="center">/</td>
</tr>
<tr>
<td valign="top" align="left">EWFT&#x2013;% surprise</td>
<td valign="top" align="center">3% (5%)</td>
<td valign="top" align="center">/</td>
<td valign="top" align="center"><bold>/</bold></td>
<td valign="top" align="center">/</td>
</tr>
<tr>
<td valign="top" align="left">AVFT&#x2013;number of words</td>
<td valign="top" align="center">18.33 (4.72)</td>
<td valign="top" align="center">F (3,96) = 2.502</td>
<td valign="top" align="center"><bold>0.064</bold></td>
<td valign="top" align="center">NT &#x003E; AS + AD</td>
</tr>
<tr>
<td valign="top" align="left">AVFT&#x2013;rule breaks</td>
<td valign="top" align="center">0.25 (0.87)</td>
<td valign="top" align="center">/</td>
<td valign="top" align="center">/</td>
<td valign="top" align="center">/</td>
</tr>
<tr>
<td valign="top" align="left">AVFT&#x2013;repetitions</td>
<td valign="top" align="center">0.17 (0.58)</td>
<td valign="top" align="center">&#x03C7;<sup>2</sup> (3) = 4.877</td>
<td valign="top" align="center">0.147</td>
<td valign="top" align="center">/</td>
</tr>
<tr>
<td valign="top" align="left">AVFT&#x2013;frequency</td>
<td valign="top" align="center">0.01 (0.00)</td>
<td valign="top" align="center">F (3,96) = 1.093</td>
<td valign="top" align="center">0.356</td>
<td valign="top" align="center">/</td>
</tr>
<tr>
<td valign="top" align="left">AVFT&#x2013;valence</td>
<td valign="top" align="center">5.92 (0.29)</td>
<td valign="top" align="center">F (3,96) = 0.686</td>
<td valign="top" align="center">0.562</td>
<td valign="top" align="center">/</td>
</tr>
<tr>
<td valign="top" align="left">AVFT&#x2013;arousal</td>
<td valign="top" align="center">4.27 (0.25)</td>
<td valign="top" align="center">F (3,96) = 0.116</td>
<td valign="top" align="center">0.951</td>
<td valign="top" align="center">/</td>
</tr>
<tr>
<td valign="top" align="left">AVFT&#x2013;dominance</td>
<td valign="top" align="center">5.81 (0.20)</td>
<td valign="top" align="center">F (3,96) = 1.325</td>
<td valign="top" align="center">0.271</td>
<td valign="top" align="center">/</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="t4fn1"><p>&#x002A;<italic>p</italic> &#x003C; 0.05.</p></fn>
<fn id="t4fn2"><p>&#x002A;&#x002A;Comparisons that remains significant after the false discovery rate (FDR) correction.</p></fn>
<fn><p><italic>P</italic>-values in bold = significant <italic>post hoc</italic> comparisons.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="S3.SS3">
<title>3.3. Correlation analyses between symptoms, EWFT and AVFT</title>
<p>In the ADHD group only, we were interested in the relationship between core symptoms, emotion dysregulation, cold and hot executive functions (i.e., EWFT and AVFT). Regarding ADHD symptoms, hyperactivity was related to the frequency of reported emotions (<xref ref-type="table" rid="T5">Table 5</xref>). Adults with ADHD produced more frequent emotions if they had an higher level of hyperactivity (r = 0.420; <italic>p</italic> = 0.012). The other main symptom domains, i.e., inattention and impulsivity, were not related to EWFT characteristics (<italic>p</italic> &#x003E; 0.05; <xref ref-type="table" rid="T5">Table 5</xref>). Furthermore, emotional over-reactivity in adults with ADHD was associated with the number of emotions (r = 0.440; <italic>p</italic> = 0.008), as well as the frequency of these words in EWFT (r = &#x2013;0.398; <italic>p</italic> = 0.018). The greater the emotional over-reactivity, the more numerous and infrequent the generated emotions were in adults with ADHD. In contrast, there was no relationship between EWFT performances and social adjustment (WRAADDS; <italic>p</italic> &#x003E; 0.05).</p>
<table-wrap position="float" id="T5">
<label>TABLE 5</label>
<caption><p>Correlation analyses between emotional word fluency test (EWFT), action verb fluency test (AVFT) and clinical characteristics in attention deficit hyperactivity disorder (ADHD) group (<italic>n</italic> = 52).</p></caption>
<table cellspacing="5" cellpadding="5" frame="box" rules="all">
<thead>
<tr>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;"></td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">WRAADDS inattention</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">WRAADDS hyperactivity</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">WRAADDS impulsivity</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">WRAADDS affective lability</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">WRAADDS emotional over-reactivity</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">WRAADDS social maladjustment</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">TEMPS-A cyclothymic temperament</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">EWFT&#x2013;Number of words</td>
<td valign="top" align="center">-0.075</td>
<td valign="top" align="center">-0.275</td>
<td valign="top" align="center">-0.175</td>
<td valign="top" align="center">0.185</td>
<td valign="top" align="center"><bold>0</bold>.<bold>440<xref ref-type="table-fn" rid="t5fn1">&#x002A;</xref></bold></td>
<td valign="top" align="center">-0.089</td>
<td valign="top" align="center">0.052</td>
</tr>
<tr>
<td valign="top" align="left">EWFT&#x2013;Rule breaks</td>
<td valign="top" align="center">-0.002</td>
<td valign="top" align="center">0.169</td>
<td valign="top" align="center">0.052</td>
<td valign="top" align="center">0.061</td>
<td valign="top" align="center">-0.118</td>
<td valign="top" align="center">0.156</td>
<td valign="top" align="center">0.291</td>
</tr>
<tr>
<td valign="top" align="left">EWFT&#x2013;Frequency</td>
<td valign="top" align="center">0.088</td>
<td valign="top" align="center"><bold>0</bold>.<bold>420<xref ref-type="table-fn" rid="t5fn1">&#x002A;</xref></bold></td>
<td valign="top" align="center">0.237</td>
<td valign="top" align="center">-0.004</td>
<td valign="top" align="center"><bold>&#x2013;0</bold>.<bold>398<xref ref-type="table-fn" rid="t5fn1">&#x002A;</xref></bold></td>
<td valign="top" align="center">-0.103</td>
<td valign="top" align="center">-0.138</td>
</tr>
<tr>
<td valign="top" align="left">EWFT&#x2013;Valence</td>
<td valign="top" align="center">-0.236</td>
<td valign="top" align="center">-0.076</td>
<td valign="top" align="center">-0.177</td>
<td valign="top" align="center">-0.131</td>
<td valign="top" align="center">0.107</td>
<td valign="top" align="center">-0.072</td>
<td valign="top" align="center">0.151</td>
</tr>
<tr>
<td valign="top" align="left">EWFT&#x2013;Arousal</td>
<td valign="top" align="center">-0.109</td>
<td valign="top" align="center">-0.204</td>
<td valign="top" align="center">-0.229</td>
<td valign="top" align="center">-0.268</td>
<td valign="top" align="center">-0.123</td>
<td valign="top" align="center">-0.373</td>
<td valign="top" align="center">-0.395</td>
</tr>
<tr>
<td valign="top" align="left">EWFT&#x2013;Dominance</td>
<td valign="top" align="center">-0.170</td>
<td valign="top" align="center">-0.072</td>
<td valign="top" align="center">-0.095</td>
<td valign="top" align="center">-0.068</td>
<td valign="top" align="center">0.114</td>
<td valign="top" align="center">-0.010</td>
<td valign="top" align="center">-0.115</td>
</tr>
<tr>
<td valign="top" align="left">AVFT&#x2013;Number of words</td>
<td valign="top" align="center">-0.097</td>
<td valign="top" align="center">-0.056</td>
<td valign="top" align="center">0.019</td>
<td valign="top" align="center"><bold>0</bold>.<bold>337<xref ref-type="table-fn" rid="t5fn1">&#x002A;</xref></bold></td>
<td valign="top" align="center">0.003</td>
<td valign="top" align="center">0.105</td>
<td valign="top" align="center">0.228</td>
</tr>
<tr>
<td valign="top" align="left">AVFT&#x2013;Rule breaks</td>
<td valign="top" align="center">0.026</td>
<td valign="top" align="center">0.048</td>
<td valign="top" align="center">0.041</td>
<td valign="top" align="center">0.031</td>
<td valign="top" align="center">0.163</td>
<td valign="top" align="center">-0.059</td>
<td valign="top" align="center">-0.270</td>
</tr>
<tr>
<td valign="top" align="left">AVFT&#x2013;Frequency</td>
<td valign="top" align="center">0.014</td>
<td valign="top" align="center">0.154</td>
<td valign="top" align="center">0.112</td>
<td valign="top" align="center">-0.171</td>
<td valign="top" align="center">0.082</td>
<td valign="top" align="center"><bold>&#x2013;0</bold>.<bold>359<xref ref-type="table-fn" rid="t5fn1">&#x002A;</xref></bold></td>
<td valign="top" align="center">-0.125</td>
</tr>
<tr>
<td valign="top" align="left">AVFT&#x2013;Valence</td>
<td valign="top" align="center">-0.236</td>
<td valign="top" align="center">-0.076</td>
<td valign="top" align="center">-0.177</td>
<td valign="top" align="center">-0.131</td>
<td valign="top" align="center">0.107</td>
<td valign="top" align="center">-0.072</td>
<td valign="top" align="center">-0.067</td>
</tr>
<tr>
<td valign="top" align="left">AVFT &#x2013; Arousal</td>
<td valign="top" align="center">0.320</td>
<td valign="top" align="center"><bold>0</bold>.<bold>387<xref ref-type="table-fn" rid="t5fn1">&#x002A;</xref></bold></td>
<td valign="top" align="center"><bold>0</bold>.<bold>494<xref ref-type="table-fn" rid="t5fn1">&#x002A;</xref></bold></td>
<td valign="top" align="center">0.287</td>
<td valign="top" align="center">-0.170</td>
<td valign="top" align="center">0.043</td>
<td valign="top" align="center">0.047</td>
</tr>
<tr>
<td valign="top" align="left">AVFT&#x2013;Dominance</td>
<td valign="top" align="center">-0.122</td>
<td valign="top" align="center">-0.000</td>
<td valign="top" align="center">-0.148</td>
<td valign="top" align="center">-0.200</td>
<td valign="top" align="center">-0.043</td>
<td valign="top" align="center">-0.210</td>
<td valign="top" align="center">-0.115</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="t5fn1"><p>&#x002A;<italic>p</italic> &#x003C; 0.05.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Hyperactivity (r = 0.387; <italic>p</italic> = 0.024; <xref ref-type="table" rid="T5">Table 5</xref>) and impulsivity symptoms (r = 0.494; <italic>p</italic> = 0.003) were also associated with more arousing actions on the AVFT. In addition, affective lability symptoms tended to be related to the number of actions produced (r = 0.337; <italic>p</italic> = 0.051). This suggests that the more adults with ADHD experience mood swings, the more actions they generate spontaneously. Social maladjustment was negatively associated with the frequency of actions reported by adults with ADHD (r = &#x2013;0.359; <italic>p</italic> = 0.037).</p>
</sec>
<sec id="S3.SS4">
<title>3.4. Correlation analyses between cold executive functions, EWFT and AVFT</title>
<p>Concerning cold executive functions, correlation analyses indicate significant associations between performance on free, letter, semantic, and action verb VFT (<italic>p</italic> &#x003C; 0.05; <xref ref-type="table" rid="T6">Table 6</xref>). Nevertheless, VFT measures on the free, semantic, letter and action verb conditions were unrelated to those obtained in the EWFT. With this task, increased cognitive flexibility on the TMT-B is associated with an increased number of emotions (r = &#x2013;0.443; <italic>p</italic> &#x003C; 0.008). In addition, increased inhibition errors in the Hayling test is associated with fewer emotional words generated (r = &#x2013;0.337; <italic>p</italic> = 0.048).</p>
<table-wrap position="float" id="T6">
<label>TABLE 6</label>
<caption><p>Pearsons&#x2019;s correlation matrix for performance on executive tests, number of emotions and actions in attention deficit hyperactivity disorder (ADHD) group (<italic>n</italic> = 52).</p></caption>
<table cellspacing="5" cellpadding="5" frame="box" rules="all">
<thead>
<tr>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;"></td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">EWFT (number of words)</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">AF (number of words)</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">VF free (number of words)</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">VF semantic (number of words)</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">VF phono-<break/>logical (number of words)</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">Digit span forward<break/> (number of digits)</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">Digit span backward<break/> (number of digits)</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">Hayling test inhibition (seconds)</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">Hayling test inhibition (errors)</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">TAP Go-Nogo 1 out of 2 (errors)</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">TAP Go-Nogo 2 out of 5 (errors)</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">Stroop test inter-<break/>ferenc&#x2013;reading (seconds)</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">TMT Part B&#x2013;Part A (seconds)</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">ToL (total correct)</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">ToL (additional move-<break/>ments)</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">ToL (initation time)</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">EWFT (number of words)</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">AVFT (number of words)</td>
<td valign="top" align="center">0.236</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">VFT free (number of words)</td>
<td valign="top" align="center">0.049</td>
<td valign="top" align="center"><bold>0.613<xref ref-type="table-fn" rid="t6fn1">&#x002A;</xref></bold></td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">VFT semantic (number of words)</td>
<td valign="top" align="center">&#x2013;0.001</td>
<td valign="top" align="center"><bold>0.517<xref ref-type="table-fn" rid="t6fn1">&#x002A;</xref></bold></td>
<td valign="top" align="center"><bold>0.552<xref ref-type="table-fn" rid="t6fn1">&#x002A;</xref></bold></td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">VFT letter (number of words)</td>
<td valign="top" align="center">0.168</td>
<td valign="top" align="center"><bold>0.595<xref ref-type="table-fn" rid="t6fn1">&#x002A;</xref></bold></td>
<td valign="top" align="center"><bold>0.504<xref ref-type="table-fn" rid="t6fn1">&#x002A;</xref></bold></td>
<td valign="top" align="center"><bold>0.716<xref ref-type="table-fn" rid="t6fn1">&#x002A;</xref></bold></td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">Digit span forward (number of digits)</td>
<td valign="top" align="center">0.116</td>
<td valign="top" align="center"><bold>0.468<xref ref-type="table-fn" rid="t6fn1">&#x002A;</xref></bold></td>
<td valign="top" align="center">0.291</td>
<td valign="top" align="center">0.319</td>
<td valign="top" align="center">0.304</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">Digit span backward (number of digits)</td>
<td valign="top" align="center">0.222</td>
<td valign="top" align="center"><bold>0.391<xref ref-type="table-fn" rid="t6fn1">&#x002A;</xref></bold></td>
<td valign="top" align="center"><bold>0.342<xref ref-type="table-fn" rid="t6fn1">&#x002A;</xref></bold></td>
<td valign="top" align="center">0.303</td>
<td valign="top" align="center">0.263</td>
<td valign="top" align="center"><bold>0.369<xref ref-type="table-fn" rid="t6fn1">&#x002A;</xref></bold></td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">Hayling test inhibition (seconds)</td>
<td valign="top" align="center">&#x2013;0.108</td>
<td valign="top" align="center"><bold>&#x2013;0.346<xref ref-type="table-fn" rid="t6fn1">&#x002A;</xref></bold></td>
<td valign="top" align="center"><bold>&#x2013;0.343<xref ref-type="table-fn" rid="t6fn1">&#x002A;</xref></bold></td>
<td valign="top" align="center"><bold>&#x2013;0.480<xref ref-type="table-fn" rid="t6fn1">&#x002A;</xref></bold></td>
<td valign="top" align="center"><bold>&#x2013;0.452<xref ref-type="table-fn" rid="t6fn1">&#x002A;</xref></bold></td>
<td valign="top" align="center">&#x2013;0.162</td>
<td valign="top" align="center">0.037</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">Hayling test inhibition (errors)</td>
<td valign="top" align="center"><bold>&#x2013;0.337<xref ref-type="table-fn" rid="t6fn1">&#x002A;</xref></bold></td>
<td valign="top" align="center">&#x2013;0.232</td>
<td valign="top" align="center">&#x2013;0.059</td>
<td valign="top" align="center">&#x2013;0.079</td>
<td valign="top" align="center">&#x2013;0.291</td>
<td valign="top" align="center">&#x2013;0.050</td>
<td valign="top" align="center"><bold>&#x2013;0.401<xref ref-type="table-fn" rid="t6fn1">&#x002A;</xref></bold></td>
<td valign="top" align="center">0.141</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">TAP Go-Nogo 1 out of 2 (errors)</td>
<td valign="top" align="center">&#x2013;0.137</td>
<td valign="top" align="center">&#x2013;0.191</td>
<td valign="top" align="center">&#x2013;0.103</td>
<td valign="top" align="center">&#x2013;0.085</td>
<td valign="top" align="center">0.011</td>
<td valign="top" align="center">&#x2013;0.173</td>
<td valign="top" align="center">&#x2013;0.017</td>
<td valign="top" align="center">0.252</td>
<td valign="top" align="center">0.024</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">TAP Go-Nogo 2 out of 5 (errors)</td>
<td valign="top" align="center">&#x2013;0.109</td>
<td valign="top" align="center">&#x2013;0.194</td>
<td valign="top" align="center">&#x2013;0.154</td>
<td valign="top" align="center">&#x2013;0.056</td>
<td valign="top" align="center">&#x2013;0.026</td>
<td valign="top" align="center">&#x2013;0.272</td>
<td valign="top" align="center">0.300</td>
<td valign="top" align="center">0.308</td>
<td valign="top" align="center">&#x2013;0.221</td>
<td valign="top" align="center"><bold>0.467<xref ref-type="table-fn" rid="t6fn1">&#x002A;</xref></bold></td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">Stroop test interference&#x2013;reading (seconds)</td>
<td valign="top" align="center">&#x2013;0.273</td>
<td valign="top" align="center"><bold>&#x2013;0.427<xref ref-type="table-fn" rid="t6fn1">&#x002A;</xref></bold></td>
<td valign="top" align="center"><bold>&#x2013;0.351<xref ref-type="table-fn" rid="t6fn1">&#x002A;</xref></bold></td>
<td valign="top" align="center">&#x2013;0.340</td>
<td valign="top" align="center">&#x2013;0.209</td>
<td valign="top" align="center"><bold>&#x2013;0.344<xref ref-type="table-fn" rid="t6fn1">&#x002A;</xref></bold></td>
<td valign="top" align="center"><bold>&#x2013;0.426<xref ref-type="table-fn" rid="t6fn1">&#x002A;</xref></bold></td>
<td valign="top" align="center"><bold>0.359<xref ref-type="table-fn" rid="t6fn1">&#x002A;</xref></bold></td>
<td valign="top" align="center">0.131</td>
<td valign="top" align="center">0.032</td>
<td valign="top" align="center">&#x2013;0.113</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">TMT Part B&#x2013;Part A (seconds)</td>
<td valign="top" align="center"><bold>&#x2013;0.443<xref ref-type="table-fn" rid="t6fn1">&#x002A;</xref></bold></td>
<td valign="top" align="center">&#x2013;0.038</td>
<td valign="top" align="center">0.098</td>
<td valign="top" align="center">&#x2013;0.176</td>
<td valign="top" align="center">&#x2013;0.004</td>
<td valign="top" align="center">&#x2013;0.167</td>
<td valign="top" align="center">&#x2013;0.274</td>
<td valign="top" align="center">0.202</td>
<td valign="top" align="center">0.262</td>
<td valign="top" align="center">0.047</td>
<td valign="top" align="center">&#x2013;0.034</td>
<td valign="top" align="center"><bold>0.353<xref ref-type="table-fn" rid="t6fn1">&#x002A;</xref></bold></td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">ToL (total correct)</td>
<td valign="top" align="center">0.263</td>
<td valign="top" align="center"><bold>0.365<xref ref-type="table-fn" rid="t6fn1">&#x002A;</xref></bold></td>
<td valign="top" align="center">0.260</td>
<td valign="top" align="center">0.282</td>
<td valign="top" align="center"><bold>0.385<xref ref-type="table-fn" rid="t6fn1">&#x002A;</xref></bold></td>
<td valign="top" align="center">0.166</td>
<td valign="top" align="center">0.320</td>
<td valign="top" align="center">&#x2013;0.154</td>
<td valign="top" align="center"><bold>&#x2013;0.416<xref ref-type="table-fn" rid="t6fn1">&#x002A;</xref></bold></td>
<td valign="top" align="center">&#x2013;0.090</td>
<td valign="top" align="center">0.046</td>
<td valign="top" align="center">&#x2013;0.032</td>
<td valign="top" align="center">&#x2013;0.180</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">ToL (additional movements)</td>
<td valign="top" align="center">&#x2013;0.290</td>
<td valign="top" align="center">&#x2013;0.101</td>
<td valign="top" align="center">&#x2013;0.065</td>
<td valign="top" align="center">&#x2013;0.288</td>
<td valign="top" align="center">&#x2013;0.306</td>
<td valign="top" align="center">&#x2013;0.035</td>
<td valign="top" align="center">&#x2013;0.306</td>
<td valign="top" align="center">&#x2013;0.024</td>
<td valign="top" align="center"><bold>0.418<xref ref-type="table-fn" rid="t6fn1">&#x002A;</xref></bold></td>
<td valign="top" align="center">0.035</td>
<td valign="top" align="center">&#x2013;0.144</td>
<td valign="top" align="center">&#x2013;0.020</td>
<td valign="top" align="center">0.165</td>
<td valign="top" align="center"><bold>&#x2013;0.805<xref ref-type="table-fn" rid="t6fn1">&#x002A;</xref></bold></td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">ToL (initation time)</td>
<td valign="top" align="center">&#x2013;0.193</td>
<td valign="top" align="center">0.336</td>
<td valign="top" align="center">0.165</td>
<td valign="top" align="center"><bold>0.413<xref ref-type="table-fn" rid="t6fn1">&#x002A;</xref></bold></td>
<td valign="top" align="center"><bold>0.360<xref ref-type="table-fn" rid="t6fn1">&#x002A;</xref></bold></td>
<td valign="top" align="center">0.274</td>
<td valign="top" align="center"><bold>0.343<xref ref-type="table-fn" rid="t6fn1">&#x002A;</xref></bold></td>
<td valign="top" align="center">&#x2013;0.167</td>
<td valign="top" align="center">&#x2013;0.299</td>
<td valign="top" align="center">&#x2013;0.121</td>
<td valign="top" align="center">&#x2013;0.128</td>
<td valign="top" align="center">0.156</td>
<td valign="top" align="center">&#x2013;0.201</td>
<td valign="top" align="center"><bold>0.428<xref ref-type="table-fn" rid="t6fn1">&#x002A;</xref></bold></td>
<td valign="top" align="center"><bold>&#x2013;0.419<xref ref-type="table-fn" rid="t6fn1">&#x002A;</xref></bold></td>
<td valign="top" align="center">&#x2013;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="t6fn1"><p>&#x002A;<italic>p</italic> &#x003C; 0.05.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>For the AVFT, the faster the automatic response inhibition on the Hayling task, the more action nouns adults with ADHD can generate (r = 0.346; <italic>p</italic> = 0.045). The number of action verbs produced was positively related to working memory performance on the digit span task. Moreover, the number of correct responses in the ToL task, reflecting planning abilities, was also positively associated (r = 0.365; <italic>p</italic> = 0.034) to the number of words generated in the AVFT.</p>
</sec>
</sec>
<sec id="S4" sec-type="discussion">
<title>4. Discussion</title>
<p>This study is the first to use a wide range of VFT, including two conditions assessing hot executive functions, in adults with ADHD, ASD, and co-occurring ADHD + ASD, compared to NT controls. The EWFT and the AVFT conditions revealed specific patterns regarding the particularities of affective language and its potential links with emotion dysregulation symptoms in ADHD, i.e., especially emotional over-reactivity and impulsivity. Consistent with our hypotheses, adults with ADHD + ASD produced fewer action verbs compared to NT subjects. These results are congruous with those obtained by Inokuchi and Kamio in autistic adults (<xref ref-type="bibr" rid="B105">105</xref>) and are in line with previous studies conducted in adults with ADHD + ASD (<xref ref-type="bibr" rid="B46">46</xref>), indicating that the combination of these two conditions is characterized by more severe deficits compared to separate presentations of ADHD or ASD (<xref ref-type="bibr" rid="B47">47</xref>&#x2013;<xref ref-type="bibr" rid="B49">49</xref>).</p>
<p>Indeed, process-oriented measures of the emotional output on the EWFT differed between groups. Adults with ADHD produced more arousing emotions than NT subjects. However, this result was no longer significant after FDR correction, which may be due to a lack of statistical power. Nevertheless, this result may be explained by the heightened emotional experience of adults with ADHD. Indeed, related to symptoms of emotional over-reactivity, individuals with ADHD report experiencing emotions more intensely, which could translate in the EWFT by more arousing emotional words (<xref ref-type="bibr" rid="B16">16</xref>&#x2013;<xref ref-type="bibr" rid="B18">18</xref>). Consistent with Barkley&#x2019;s model, which links hot executive functions, cold executive functions, and actions, it is possible that the inhibitory control impairment in ADHD may also involve emotion self-regulation abilities. Hence, inhibitory impairments in ADHD could be seen as widespread, leading to both emotional and non-emotional impulsivity (<xref ref-type="bibr" rid="B37">37</xref>, <xref ref-type="bibr" rid="B42">42</xref>). In our study, in adults with ADHD, verbal inhibition abilities on the Hayling task were positively correlated with emotion generation in the EWFT, that is, the more people with ADHD have difficulties inhibiting a verbal response, the fewer the emotional words spontaneously generated. Given the link between emotion dysregulation and executive functions (<xref ref-type="bibr" rid="B132">132</xref>), it is possible that increased verbal impulsivity, especially in social interactions, is related to a lack of control over the retrieval of emotional words in ADHD, which translates here by fewer emotional words produced compared to the ASD group (<xref ref-type="bibr" rid="B69">69</xref>&#x2013;<xref ref-type="bibr" rid="B71">71</xref>). This hypothesis is consistent with the functional impact of emotion dysregulation symptoms in adults with ADHD, especially in terms of social functioning (<xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B133">133</xref>). Indeed, symptoms of ED, including emotional and verbal impulsivity, may lead adults with ADHD to say things impulsively, which can damage their social, marital, and professional relationships (<xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B133">133</xref>). Furthermore, in past studies impulsivity in people with ADHD has been linked to increased sensation-seeking personality traits (<xref ref-type="bibr" rid="B106">106</xref>). As an example, heightened sensation-seeking in people with ADHD has been linked to the attraction to horror movies (<xref ref-type="bibr" rid="B104">104</xref>), which elicits the intense and arousing emotion of fear. Given that impulsivity was found to be positively correlated with intense actions produced in the AVFT in our ADHD group, we argue that this facet of impulsivity (i.e., sensation-seeking) in particular may be associated with intense emotional and movement-related feelings.</p>
<p>Regarding the emotional words related to the six primary emotions (<xref ref-type="bibr" rid="B126">126</xref>, <xref ref-type="bibr" rid="B127">127</xref>), the ADHD + ASD group produced significantly fewer emotions related to anger, compared to NT controls and adults with ADHD. This result is consistent with studies showing deficits in the recognition of negative emotions in autistic individuals (<xref ref-type="bibr" rid="B136">136</xref>, <xref ref-type="bibr" rid="B137">137</xref>). In particular, autistic people have deficits in the early stages of emotion recognition such as anger (<xref ref-type="bibr" rid="B97">97</xref>). According to Tye et al.&#x2019;s (<xref ref-type="bibr" rid="B97">97</xref>) results and embodied cognition theories, difficulties in generating anger-related emotions are associated with the cognitive identification and processing (i.e., alexithymia) of emotions rather than a lower intensity of subjective feeling (<xref ref-type="bibr" rid="B138">138</xref>). Indeed, alexithymia leads to reduced emotional word production in a negative context (<xref ref-type="bibr" rid="B89">89</xref>). Alexithymia is frequent in ASD (<xref ref-type="bibr" rid="B139">139</xref>) and in ADHD (<xref ref-type="bibr" rid="B140">140</xref>) and appears to underlie symptoms of emotion dysregulation in autism, which are characterized by intense episodes of anger (<xref ref-type="bibr" rid="B139">139</xref>). Given that alexithymia and emotion dysregulation were not assessed in autistic adults in our study, the links between emotional word production, alexithymia, and emotion dysregulation would require further exploration in ASD and ADHD. This is especially important since alexithymia is related to self-harming behaviors (<xref ref-type="bibr" rid="B141">141</xref>, <xref ref-type="bibr" rid="B142">142</xref>), used to regulate unidentified anger in ASD (<xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B143">143</xref>).</p>
<p>Concerning AVFT, adults with ADHD + ASD generated fewer actions compared to NT controls. These results are consistent with those obtained by Inokuchi and Kamio (<xref ref-type="bibr" rid="B105">105</xref>), who found a deficit in the semantic clustering process in VFT in autistic adults compared to NT controls. A decrease in the number of action names spontaneously generated could be caused by executive dysfunction (<xref ref-type="bibr" rid="B105">105</xref>), motor impairment (<xref ref-type="bibr" rid="B108">108</xref>), or deficits in social cognition in ASD and ADHD. In addition, the performance of adults with ADHD in this task was correlated with an unconstrained VFT condition (the free condition; <xref ref-type="table" rid="T6">Table 6</xref>) which is particularly dependent on initiation strategies. Nevertheless, the difference with NT subjects was only significant in the ADHD + ASD group. These results are in line with studies postulating that the ADHD + ASD co-occurrence is not a simple addition of the cognitive alterations specific to each disorder (<xref ref-type="bibr" rid="B144">144</xref>). Indeed, the combination of these two conditions can lead to more severe disturbance of hot executive functions.</p>
<p>In ADHD, contrary to our hypothesis, participants did not produce more arousing actions compared to the other groups. Nevertheless, symptoms of hyperactivity and impulsivity were positively correlated with the generation of arousing actions. Moreover, we found a negative association between the frequency of actions generated and self-reported difficulties of social adjustment on the WRAADDS. This suggests that unusual actions are related to difficulties in social adaptation in adults with ADHD, which is consistent with the relationship between motor hyperactivity and impaired social functioning in adults with ADHD (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B145">145</xref>). In our study, motor hyperactivity was also strongly correlated with emotion dysregulation and the number of actions generated was positively correlated with affective lability. Both findings are in line with those from results from past studies suggesting that emotion dysregulation is heightened in the combined ADHD subtype compared to the inattentive subtype (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B146">146</xref>&#x2013;<xref ref-type="bibr" rid="B149">149</xref>). Dysregulated arousal states have been put forward as an explanation to this association (<xref ref-type="bibr" rid="B150">150</xref>). It is therefore possible that dysregulated arousal states underlie affective lability in ADHD&#x2013;i.e., brief and unpredictable shifts from ordinary mood to depression or mild excitation (<xref ref-type="bibr" rid="B151">151</xref>)&#x2014;and lead to an unstable daily routine where adults with ADHD can rapidly alternate between initiated actions, akin to hyperactivity symptoms.</p>
<p>We also checked the EWFT and AVFT performance of autistic adults without the ADHD co-occurrence. We found that autistic adults produced significantly more emotion words compared to adults with ADHD (<xref ref-type="table" rid="T4">Table 4</xref>). Considering the observed links between the symptoms of emotion dysregulation and performance in the EWFT, these findings suggest that having increased affective language is not necessarily more adaptive, on the one hand, and that autistic adults do not have difficulties in spontaneously generating emotion words, but rather in processing and recognizing emotional states in themselves and others, on the other hand. This might also be due to the fact that people with ADHD are more impulsive, which are related to increased errors on the Hayling task, compared to autistic adults. Indeed, in an arousing context, such as the EWFT, increased verbal impulsivity might prevent people with ADHD from using efficient strategies to retrieve emotion nouns, instead of unrelated off-task words. Moreover, due to the time limited of VFT, errors prevent access to correct answers and result in decreased word output, which seems to have been the case here. This explanation is supported by the negative correlation between the number of words generated in the EWFT and verbal response inhibition errors in the ADHD group. Additionally, in our study, emotional over-reactivity in adults with ADHD was positively associated with the spontaneous generation of numerous and unusual emotions. As a matter of fact, emotional over-reactivity can lead to responses to minor stimuli in the environment that typically do not result in emotional reactions (<xref ref-type="bibr" rid="B151">151</xref>). Thus, adults with ADHD may have a broader repertoire of emotional experiences, both in terms of reactivity and experiences, that do not result in an increased word output in the EWFT due to their verbal impulsivity.</p>
<p>This study has several limitations. First, this study is limited by the small sample of adults with co-occurring ADHD + ASD and autistic adults, which results in a lack of statistical power. Analysing VFT performance in a larger sample could allow to tackle the specificities of the ASD group, including in the generation of anger-related words and action verbs. Second, we did not exclude participants with psychopathological comorbidities in the ADHD + ASD and ASD groups. These comorbidities, including anxiety and depressive disorders, are very common in these conditions (<xref ref-type="bibr" rid="B152">152</xref>) and are intrinsically linked to emotion dysregulation (<xref ref-type="bibr" rid="B33">33</xref>). In addition, hot executive functions are closely related to mood (<xref ref-type="bibr" rid="B153">153</xref>), and patients with mood disorders often present executive dysfunction (<xref ref-type="bibr" rid="B154">154</xref>&#x2013;<xref ref-type="bibr" rid="B156">156</xref>), notably in verbal fluency (<xref ref-type="bibr" rid="B157">157</xref>). There also are specificities of emotion dysregulation in different presentations of ADHD&#x2014;i.e., inattentive, combined and hyperactive (<xref ref-type="bibr" rid="B15">15</xref>). It is therefore important to explore the links between VFT performance and emotion dysregulation in different presentations of ADHD. Finally, given the potential relationship between alexithymia and sensation-seeking in spontaneous emotional and action word production in ADHD and ADHD + ASD, future studies should directly target these dimensions in relation to VFT performance in all groups.</p>
</sec>
<sec id="S5">
<title>5. Conclusion and perspectives</title>
<p>Taken together, our results suggest that even though emotional processing difficulties is a shared symptom domain between autistic adults, adults with ADHD and adults with ASD + ADHD, several differences can be found using hot executive functions conditions of VFT. First of all, adults with co-occurring ADHD + ASD could present unique affective features that are different from those found in separate presentations of ADHD or ASD, and may have more severe cognitive difficulties, especially in verbal initiation. Most importantly, these results point to the fact that their emotional symptoms do not seem to be a simple addition of both conditions. Secondly, increased emotional word output can also be dysfunctional and linked to emotion dysregulation. While future studies are needed with increased sample sizes and measures of emotion dysregulation symptoms in autistic adults, these findings suggest that different mechanisms are involved in emotional processing in each subgroup and different treatment options could be needed to target them.</p>
</sec>
<sec id="S6" sec-type="data-availability">
<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 id="S7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving human participants were reviewed and approved by CPP South Mediterranean II. The patients/participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="S8" sec-type="author-contributions">
<title>Author contributions</title>
<p>AW: study conception, data collection and coding, statistical analysis, and write the first draft of the manuscript. EM: study conception, manuscript writing and revision, and data collection. SW: study conception, manuscript writing and revision, and data collection. LW: study conception, manuscript writing and revision, and data collection. All authors contributed to the article and approved the submitted version.</p>
</sec>
</body>
<back>
<ack><p>The authors thank to the participants for their cooperation during the research, and Elena Costache for her help with the acquisition of data.</p>
</ack>
<sec id="S9" sec-type="COI-statement">
<title>Conflict of interest</title>
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