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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.2022.923572</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>Mapping structural covariance networks in children and adolescents with post-traumatic stress disorder after earthquake</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Mo</surname> <given-names>Xian</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>He</surname> <given-names>Meirong</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Zhou</surname> <given-names>Lijun</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Liu</surname> <given-names>Yunfei</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Zhu</surname> <given-names>Hongru</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/310808/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Huang</surname> <given-names>Xiaoqi</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/36698/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Zeng</surname> <given-names>Guojun</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Zhang</surname> <given-names>Junran</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/306709/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Li</surname> <given-names>Lingjiang</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<xref ref-type="corresp" rid="c002"><sup>&#x002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/379130/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>College of Electrical Engineering, Sichuan University</institution>, <addr-line>Chengdu, Sichuan</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Med-X Center for Informatics, Sichuan University</institution>, <addr-line>Chengdu, Sichuan</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>Mental Health Center and Psychiatric Laboratory, West China Hospital, Sichuan University</institution>, <addr-line>Chengdu, Sichuan</addr-line>, <country>China</country></aff>
<aff id="aff4"><sup>4</sup><institution>West China Hospital, Sichuan University</institution>, <addr-line>Chengdu, Sichuan</addr-line>, <country>China</country></aff>
<aff id="aff5"><sup>5</sup><institution>Department of Psychiatry, The Second Xiangya Hospital, Central South University</institution>, <addr-line>Changsha, Hunan</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Li Yang, Peking University Sixth Hospital, China</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Jun Chen, Shanghai Jiao Tong University, China; Xiaoyan Ke, Nanjing Brain Hospital Affiliated to Nanjing Medical University, China</p></fn>
<corresp id="c001">&#x002A;Correspondence: Junran Zhang, <email>zhangjunran@126.com</email></corresp>
<corresp id="c002">Lingjiang Li, <email>llj2920@163.com</email></corresp>
<fn fn-type="other" id="fn004"><p>This article was submitted to Anxiety and Stress Disorders, a section of the journal Frontiers in Psychiatry</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>15</day>
<month>09</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>13</volume>
<elocation-id>923572</elocation-id>
<history>
<date date-type="received">
<day>19</day>
<month>04</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>29</day>
<month>08</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2022 Mo, He, Zhou, Liu, Zhu, Huang, Zeng, Zhang and Li.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Mo, He, Zhou, Liu, Zhu, Huang, Zeng, Zhang and Li</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract>
<p>For children and adolescents, there is a high risk of developing post-traumatic stress disorder (PTSD) after suffering from catastrophic events. Previous studies have identified brain functionally and subcortical brain volumes structurally abnormalities in this population. However, up till now, researches exploring alterations of regional cortical thickness (CTh) and brain interregional structural covariance networks (SCNs) are scarce. In this cross-sectional study, CTh measures are derived from 3-Tesla Tl-weighted MRI imaging data in a well-characterized combined group of children and adolescents with PTSD after an earthquake (<italic>N</italic> = 35) and a traumatized healthy control group (<italic>N</italic> = 24). By using surface-based morphometry (SBM) techniques, the regional CTh analysis was conducted. To map interregional SCNs derived from CTh, twenty-five altered brain regions reported in the PTSD population were selected as seeds. Whole-brain SBM analysis discovered a significant thickness reduction in the left medial orbitofrontal cortex for the subjects with PTSD. Similarly, analysis of SCNs associated with &#x201C;seed&#x201D; regions primarily located in default mode network (DMN), midline cortex structures, motor cortex, auditory association cortex, limbic system, and visual cortex demonstrated that children and adolescents with PTSD are associated with altered structural covariance with six key regions. This study provides evidence for distinct CTh correlates of PTSD that are present across children and adolescents, suggesting that brain cortical abnormalities related to trauma exposure are present in this population, probably by driving specific symptom clusters associated with disrupted extinction recall mechanisms for fear, episodic memory network and visuospatial attention.</p>
</abstract>
<kwd-group>
<kwd>children and adolescents</kwd>
<kwd>post-traumatic stress disorder</kwd>
<kwd>cortical thickness</kwd>
<kwd>connectivity</kwd>
<kwd>magnetic resonance imaging</kwd>
</kwd-group>
<counts>
<fig-count count="3"/>
<table-count count="3"/>
<equation-count count="2"/>
<ref-count count="76"/>
<page-count count="12"/>
<word-count count="7778"/>
</counts>
</article-meta>
</front>
<body>
<sec id="S1" sec-type="intro">
<title>Introduction</title>
<p>Posttraumatic stress disorder (PTSD) is a prevalent and disabling mental disorder characterized by a cluster of emotional and behavioral symptoms including re-experiencing, avoidance, hyperarousal, negative cognitions, and mood (<xref ref-type="bibr" rid="B1">1</xref>) related to the experience of catastrophic events. 20.52% of the youth population after suffering from injury developed PTSD (<xref ref-type="bibr" rid="B2">2</xref>), and the overall lifetime prevalence is 3&#x2013;9% (<xref ref-type="bibr" rid="B3">3</xref>). Prior findings have suggested that children and adolescents are more vulnerable to developing PTSD after catastrophic events than are adults (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B5">5</xref>). As a collective trauma caused by natural disasters, earthquakes have caused more extensive trauma to the public representing the negative impact on social processes at the collective level compared to individual crisis events (<xref ref-type="bibr" rid="B6">6</xref>). The devastating Wenchuan 8.0-magnitude earthquake resulted in heavy casualties and seriously affected approximately 46 million people, of whom a considerable number were suffering from PTSD (<xref ref-type="bibr" rid="B7">7</xref>). For minors, the psychological impact of the earthquake is extremely far-reaching. During the follow-up of 6, 12, and 18 months, the incidence of PTSD symptoms was 9.7%, 1.3%, and 1.6% respectively (<xref ref-type="bibr" rid="B8">8</xref>). And the prevalence of posttraumatic stress in adolescents until 8 years after the Wenchuan earthquake was still 1.9&#x2013;2.7% (<xref ref-type="bibr" rid="B9">9</xref>). Moreover, there has been ample evidence indicating that juveniles display different pathogenesis of PTSD, in consequence of neurodevelopment (<xref ref-type="bibr" rid="B10">10</xref>), psychological tolerance (<xref ref-type="bibr" rid="B11">11</xref>), and individual differences (<xref ref-type="bibr" rid="B12">12</xref>). With the purpose of thwarting the negative impacts of mental trauma in children and adolescents, the emphasis of current research is on how to understand the neurobiological mechanisms associated with minors.</p>
<p>Nevertheless, most neuroimaging studies of PTSD have focused on adults. Only a few pieces of literature have reported brain imaging changes in children and adolescents after exposure to an injury (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B14">14</xref>). Besides, the major findings in minors are regional functional alterations like the amygdala (<xref ref-type="bibr" rid="B15">15</xref>), medial prefrontal cortex (<xref ref-type="bibr" rid="B16">16</xref>), visual cortex (<xref ref-type="bibr" rid="B17">17</xref>), and anterior cingulate cortex (<xref ref-type="bibr" rid="B13">13</xref>). Understanding the brain structural changes in the children and adolescents after trauma who are developing and still malleable can provide a way to explore neuropathophysiological mechanisms of PTSD for countering negative consequences, particularly because some studies have found that even the mature brain can be for structural changes after treatment interventions in the adult population (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B19">19</xref>). Structural neuroimaging research in pediatric posttraumatic patients can potentially help illuminate the relationship between PTSD and brain structure, however, up till this moment, such studies are scant (<xref ref-type="bibr" rid="B14">14</xref>).</p>
<p>Cortical thickness (CTh) is a relatively novel structural neuroimaging analysis technique estimated generally by surface-based method, which can reflect changes in the cerebral cortex with the normal aging process and various nervous system diseases (<xref ref-type="bibr" rid="B20">20</xref>). Compared to the voxel-based morphometry (VBM) method, CTh determined by surface-based morphometry (SBM) might detect the delicate abnormities of brain structure more acutely (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B22">22</xref>). However, most of the brain structure imaging studies of PTSD is based on the VBM method, among which adult patients are mostly focused. And the structural brain changes in adult patients with PTSD reported are mainly in the volumes of the hippocampus, amygdala, insula, medial prefrontal cortex, anterior cingulate, etc., (<xref ref-type="bibr" rid="B23">23</xref>&#x2013;<xref ref-type="bibr" rid="B25">25</xref>). So far relevant pieces of research on structural neuroimaging analysis in children and adolescents with PTSD are still limited and no consistent conclusion has been drawn, particularly on cortical thickness. To our knowledge, there are only three reports on CTh about PTSD patients up to now, not including minors having experienced earthquakes (<xref ref-type="bibr" rid="B26">26</xref>&#x2013;<xref ref-type="bibr" rid="B28">28</xref>). Ahmed et al. (<xref ref-type="bibr" rid="B26">26</xref>) found subjects with PTSD indicated a marked reduction in the insula thickness by using Freesurfer analysis on Qdec. A different result is reported by Rinne-Albers et al. (<xref ref-type="bibr" rid="B27">27</xref>) who found there was no significant difference in CTh between pediatric posttraumatic patients and controls in four selected ROIs including the insula. Moreover, the method of brain structural covariance networks (SCNs) constructed from inter-regional correlations estimated according to a group of individual images is a relatively untapped resource to be applied to reveal inter-regional co-variance patterns across the population of brain disorders like early psychosis (<xref ref-type="bibr" rid="B29">29</xref>&#x2013;<xref ref-type="bibr" rid="B31">31</xref>). Importantly, for children and adolescents, SCNs as the consequence of interaction and promotion during brain development and maturation could help further understand the abnormal alteration of the morphometry relationships between different parts of the developing brain (<xref ref-type="bibr" rid="B30">30</xref>). In summary, a combined method involving CTh and SCN analysis may provide underlying information on the regional structure and interregional network relationships related to pediatric posttraumatic patients, which has not been reported in the current literature yet.</p>
<p>In this cross-sectional neuroimaging study, structural and network-level substrates of PTSD in children and adolescents after the same earthquake were assessed by using CTh analysis. Here, we hypothesized that altered CTh and covariance strength derived from 3-Tesla MRI in pediatric posttraumatic patients compared to traumatized non-PTSD subjects. First, regional cortical thickness analyses between groups were conducted to test for regional hypotheses. Next, we collected the mainly abnormal brain regions originally identified in the published neuroimaging meta-analyses on PTSD and restrained them to these which are reported at least in two individual meta-analyses. Furthermore, for measuring the correlation strength of CTh between these synthesized brain regions and all other brain vertices, a seed-based SCN analysis was used on the interregional network-level.</p>
</sec>
<sec id="S2" sec-type="materials|methods">
<title>Materials and methods</title>
<sec id="S2.SS1">
<title>Participants</title>
<p>Fifty-nine right-handed subjects who all experienced the same Wenchuan 8.0-magnitude earthquake were recruited (<xref ref-type="table" rid="T1">Table 1</xref>). The acquisition of neuroimaging and clinical data from survivors took place in December 2009, 17 months after this disaster. All participants were children or adolescents, who were between 8 and 18 years of age (35 PTSD with a mean age of 14.74 &#x00B1; 2.08 years and 24 non-PTSD controls with a mean age of 14.58 &#x00B1; 1.79 years) and didn&#x2019;t suffer any physical head injury or any loss of consciousness &#x003E; 5 min in the catastrophe. They were drawn from a large-scale PTSD survey of survivors 8&#x2013;15 months after the earthquake. They were first carefully screened through the PTSD checklist (PCL) (<xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B33">33</xref>). Subjects with a PCL score &#x003E; 35 further participated in interviews led by two experienced psychiatrists. The Clinician-Administered PTSD Scale (CAPS) (<xref ref-type="bibr" rid="B34">34</xref>) was used to confirm the PTSD diagnosis in these individuals with suspected PTSD, and the structured clinical interview for DSM-IV (SCID) was used to exclude any psychiatric comorbidities. Those who scored &#x003E; 50 on the CAPS were eligible for further evaluation for inclusion in the PTSD group. An age-and sex-matched trauma-exposed non-PTSD group was formed from those with a PCL score &#x003C; 30 points and a CAPS score &#x003C; 35 points. The exclusion criteria for the PTSD group were: (1) history of other nervous system diseases and psychiatric disorders; (2) use of psychotropic medications and drug treatment in the past 2 months; (3) any significant medical or history of head injury; (4) left-handedness; (5) IQ &#x003C; 80; (6) magnetic resonance imaging contraindications. The traumatized control participants were similarly screened using the SCID and CAPS scale. These subjects who experienced the same traumatic events but with CAPS scores below 35 were included in the non-PTSD group. The non-PTSD control group used the same exclusion criteria as the PTSD group. An experienced neuroradiologist inspected brain scans and ruled out clinical abnormalities. This research was approved by the Medical Ethics Committee of West China Hospital, Sichuan University, and all subjects and their guardians offered written informed consent after being provided a complete description of this study.</p>
<table-wrap position="float" id="T1">
<label>TABLE 1</label>
<caption><p>Sample characteristics.<sup><xref ref-type="table-fn" rid="t1fna">a</xref></sup></p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Clinical information</td>
<td valign="top" align="center">PTSD (<italic>N</italic> = 35)</td>
<td valign="top" align="center">Non-PTSD (<italic>N</italic> = 24)</td>
<td valign="top" align="center">Test statistics<xref ref-type="table-fn" rid="t1fna"><sup>b</sup></xref></td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age (years)</td>
<td valign="top" align="center">14.74 &#x00B1; 2.08</td>
<td valign="top" align="center">14.58 &#x00B1; 1.79</td>
<td valign="top" align="center">0.592</td>
</tr>
<tr>
<td valign="top" align="left">Gender (female/male)</td>
<td valign="top" align="center">23/12</td>
<td valign="top" align="center">14/10</td>
<td valign="top" align="center">0.565</td>
</tr>
<tr>
<td valign="top" align="left">Education (years)</td>
<td valign="top" align="center">8.43 &#x00B1; 1.99</td>
<td valign="top" align="center">8.54 &#x00B1; 1.64</td>
<td valign="top" align="center">0.509</td>
</tr>
<tr>
<td valign="top" align="left">CAPS (total)</td>
<td valign="top" align="center">7.01 &#x00B1; 5.78</td>
<td valign="top" align="center">67.90 &#x00B1; 15.23</td>
<td valign="top" align="center">&#x003C; 0.001</td>
</tr>
<tr>
<td valign="top" align="left">Handedness (right/left)</td>
<td valign="top" align="center">35/0</td>
<td valign="top" align="center">24/0</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">Height (cm)</td>
<td valign="top" align="center">157.89 &#x00B1; 8.92</td>
<td valign="top" align="center">158.50 &#x00B1; 8.80</td>
<td valign="top" align="center">0.934</td>
</tr>
<tr>
<td valign="top" align="left">Weight (kg)</td>
<td valign="top" align="center">51.25 &#x00B1; 8.01</td>
<td valign="top" align="center">49.95 &#x00B1; 9.55</td>
<td valign="top" align="center">0.430</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="t1fna"><p><sup>a</sup>Presentation of characteristics is mean &#x00B1; SD. <sup>b</sup>Two-sample <italic>t</italic>-test was used to test continuous characteristics and categorical characteristics were tested by chi-square.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="S2.SS2">
<title>Magnetic resonance imaging acquisition</title>
<p>Images were acquired on a Siemens 3.0T Trio TIM MRI scanner at the West China Hospital. All subjects underwent high resolution three-dimensional T1-weighted anatomical brain scans (MPRAGE, 176 slices, TR/TE = 1900/2.26&#x00B0;msec, flip angle = 9&#x00B0;, acquisition matrix = 256 &#x00D7; 256, resolution = 1 &#x00D7; 1 &#x00D7; 1&#x00B0;mm<sup>3</sup>).</p>
</sec>
<sec id="S2.SS3">
<title>Measurement of cortical thickness</title>
<p>The T1-weighted MRI data were preprocessed in FreeSurfer (Version 7.1.0<sup><xref ref-type="fn" rid="footnote1">1</xref></sup>). The image processing includes the following main steps: motion correction, skull strip, Talairach transform computation, subcortical grey matter (GM)/white matter (EM) segmentation, intensity normalization, WM-GM boundary tessellation, automatic topology fixer, and spherical registration. Then, the cortical surface of individuals is registered to a standard spherical map after inflation by the spherical registration method. And sulcal and gyral features were recognized automatically by the software. The CTh data were smoothed by a 10-mm FWHM Gaussian kernel for reducing measurement noise and improving statistical power.</p>
</sec>
<sec id="S2.SS4">
<title>Region-of-interest definition</title>
<p>We predefined twenty-five region-of-interests (ROIs) according to our previous research (<xref ref-type="bibr" rid="B35">35</xref>) in <xref ref-type="table" rid="T2">Table 2</xref>. The specific strategy was followed: each candidate seed was originally identified in at least two individual published neuroimaging meta-analyses on PTSD. These ROIs were modeled by spheres of 20&#x00B0;mm diameter around each peak coordinate and chosen as seeds to create structural covariance connectivity maps for a hypothesis-driven approach.</p>
<table-wrap position="float" id="T2">
<label>TABLE 2</label>
<caption><p>Coordinates-region-of-interests (ROIs).</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Number</td>
<td valign="top" align="center">Brain areas</td>
<td valign="top" align="center">Left/Right (L/R)</td>
<td valign="top" align="center" colspan="3">Peak coordinates<hr/></td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="center">X</td>
<td valign="top" align="center">Y</td>
<td valign="top" align="center">Z</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">1</td>
<td valign="top" align="center">hippocampus</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">&#x2212;28</td>
<td valign="top" align="center">&#x2212;12</td>
<td valign="top" align="center">&#x2212;14</td>
</tr>
<tr>
<td valign="top" align="left">2</td>
<td valign="top" align="center">amygdala</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">&#x2212;20</td>
<td valign="top" align="center">&#x2212;8</td>
<td valign="top" align="center">&#x2212;12</td>
</tr>
<tr>
<td valign="top" align="left">3</td>
<td valign="top" align="center"/>
<td valign="top" align="center">R</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">&#x2212;2</td>
<td valign="top" align="center">&#x2212;16</td>
</tr>
<tr>
<td valign="top" align="left">4</td>
<td valign="top" align="center">medial prefrontal cortex/anterior cingulate cortex</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">20</td>
<td valign="top" align="center">26</td>
</tr>
<tr>
<td valign="top" align="left">5</td>
<td valign="top" align="center"/>
<td valign="top" align="center">R</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">36</td>
<td valign="top" align="center">18</td>
</tr>
<tr>
<td valign="top" align="left">6</td>
<td valign="top" align="center">insula</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">&#x2212;42</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">&#x2212;4</td>
</tr>
<tr>
<td valign="top" align="left">7</td>
<td valign="top" align="center"/>
<td valign="top" align="center">R</td>
<td valign="top" align="center">42</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">12</td>
</tr>
<tr>
<td valign="top" align="left">8</td>
<td valign="top" align="center">medial frontal gyrus</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">&#x2212;34</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">52</td>
</tr>
<tr>
<td valign="top" align="left">9</td>
<td valign="top" align="center"/>
<td valign="top" align="center">R</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">42</td>
<td valign="top" align="center">24</td>
</tr>
<tr>
<td valign="top" align="left">10</td>
<td valign="top" align="center">caudate/putamen</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">&#x2212;8</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">14</td>
</tr>
<tr>
<td valign="top" align="left">11</td>
<td valign="top" align="center">inferior frontal gyrus</td>
<td valign="top" align="center">R</td>
<td valign="top" align="center">46</td>
<td valign="top" align="center">16</td>
<td valign="top" align="center">10</td>
</tr>
<tr>
<td valign="top" align="left">12</td>
<td valign="top" align="center">precuneus</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">&#x2212;10</td>
<td valign="top" align="center">&#x2212;52</td>
<td valign="top" align="center">42</td>
</tr>
<tr>
<td valign="top" align="left">13</td>
<td valign="top" align="center"/>
<td valign="top" align="center">R</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">&#x2212;52</td>
<td valign="top" align="center">46</td>
</tr>
<tr>
<td valign="top" align="left">14</td>
<td valign="top" align="center">posterior cingulate cortex</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">&#x2212;2</td>
<td valign="top" align="center">&#x2212;42</td>
<td valign="top" align="center">20</td>
</tr>
<tr>
<td valign="top" align="left">15</td>
<td valign="top" align="center">fusiform gyrus</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">&#x2212;46</td>
<td valign="top" align="center">&#x2212;42</td>
<td valign="top" align="center">&#x2212;12</td>
</tr>
<tr>
<td valign="top" align="left">16</td>
<td valign="top" align="center"/>
<td valign="top" align="center">R</td>
<td valign="top" align="center">36</td>
<td valign="top" align="center">&#x2212;72</td>
<td valign="top" align="center">&#x2212;10</td>
</tr>
<tr>
<td valign="top" align="left">17</td>
<td valign="top" align="center">superior temporal gyrus/angularis</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">&#x2212;50</td>
<td valign="top" align="center">&#x2212;2</td>
<td valign="top" align="center">2</td>
</tr>
<tr>
<td valign="top" align="left">18</td>
<td valign="top" align="center">mid-cingulate cortex</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">&#x2212;2</td>
<td valign="top" align="center">&#x2212;16</td>
<td valign="top" align="center">36</td>
</tr>
<tr>
<td valign="top" align="left">19</td>
<td valign="top" align="center"/>
<td valign="top" align="center">R</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">16</td>
<td valign="top" align="center">34</td>
</tr>
<tr>
<td valign="top" align="left">20</td>
<td valign="top" align="center">inferior parietal lobule</td>
<td valign="top" align="center">R</td>
<td valign="top" align="center">32</td>
<td valign="top" align="center">&#x2212;50</td>
<td valign="top" align="center">48</td>
</tr>
<tr>
<td valign="top" align="left">21</td>
<td valign="top" align="center">middle occipital gyrus</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">&#x2212;32</td>
<td valign="top" align="center">&#x2212;86</td>
<td valign="top" align="center">0</td>
</tr>
<tr>
<td valign="top" align="left">22</td>
<td valign="top" align="center">superior frontal gyrus</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">&#x2212;24</td>
<td valign="top" align="center">52</td>
<td valign="top" align="center">10</td>
</tr>
<tr>
<td valign="top" align="left">23</td>
<td valign="top" align="center">precentral gyrus</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">&#x2212;36</td>
<td valign="top" align="center">&#x2212;8</td>
<td valign="top" align="center">38</td>
</tr>
<tr>
<td valign="top" align="left">24</td>
<td valign="top" align="center"/>
<td valign="top" align="center">R</td>
<td valign="top" align="center">40</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">40</td>
</tr>
<tr>
<td valign="top" align="left">25</td>
<td valign="top" align="center">inferior temporal gyrus</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">&#x2212;48</td>
<td valign="top" align="center">&#x2212;10</td>
<td valign="top" align="center">&#x2212;20</td>
</tr>
</tbody>
</table></table-wrap>
</sec>
<sec id="S2.SS5">
<title>Statistical analyses</title>
<p>All cortical statistical analyses were performed using the SurfStat toolbox<sup><xref ref-type="fn" rid="footnote2">2</xref></sup> within MATLAB <ext-link ext-link-type="uri" xlink:href="http://www.mathworks.com">www.mathworks.com.</ext-link> And for the problem of multiple comparisons, each cluster was corrected with a random-field-theory (RFT) (<xref ref-type="bibr" rid="B36">36</xref>) at a<italic>p</italic> &#x003C; 0.05 level of significance, limiting the probability of reporting a family-wise error to below 0.05. Two-sample <italic>t</italic>-test and chi-square analyses in SPSS software<sup><xref ref-type="fn" rid="footnote3">3</xref></sup> were used to compare the demographic characteristics between trauma-exposed non-PTSD and PTSD participants.</p>
<sec id="S2.SS5.SSS1">
<title>Regional substrates: Cortical thickness analysis between groups</title>
<p>In order to obtain the cortical thickness <italic>T_i</italic> of each cortical surface point <italic>i</italic>, general linear models (GLM) were used for fitting calculation:</p>
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<p>In the formula above, &#x03B2;<sub>1</sub> values represent variable of interest and other &#x03B2;<sub>2&#x2212;3</sub> represent covariates, considering the notable impacts of Age and Gender on cerebral cortex (<xref ref-type="bibr" rid="B37">37</xref>).</p>
</sec>
<sec id="S2.SS5.SSS2">
<title>Interregional network substrates: Structural covariance networks analysis</title>
<p>To map interregional SCNs, the CTh of each ROI was correlated with the thickness measurements across all cortical surface points. For each seed, we fitted interaction models that included terms for seed thickness, group, and their parametric interaction to assess group differences in seed-based structural covariance. The linear model at the cortical surface point <italic>i</italic> was fitted to calculate:</p>
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<p>where &#x002A; denotes an interaction. As before, we regressed the covariates of age and gender.</p>
</sec>
</sec>
</sec>
<sec id="S3" sec-type="results">
<title>Results</title>
<sec id="S3.SS1">
<title>Samples characteristics</title>
<p>The comparisons of demographic characteristics between trauma-exposed non-PTSD and PTSD participants are provided in <xref ref-type="table" rid="T1">Table 1</xref>. The average gender and age of PTSD individuals were alike to the control&#x2019;s, as were education and height, and weight. In addition, the groups differed in CAPS scores.</p>
</sec>
<sec id="S3.SS2">
<title>Regional substrates: Cortical thickness analysis</title>
<p>The Surface-based morphometry analysis of CTh highlighted that PTSD patients displayed a significantly thinner cluster of the left medial orbitofrontal cortex (mOFC) than non-PTSD control subjects (<italic>P</italic> = 0.0265, corrected with RFT) (<xref ref-type="fig" rid="F1">Figure 1</xref>). No difference was seen in PTSD patients&#x003E; non-PTSD subjects.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption><p>Regional cortical thickness analysis between groups. The surface-based morphometry analysis highlighted a significant thickness reduction in the left medial orbitofrontal cortex for post-traumatic stress disorder (PTSD) participants compared with trauma-exposed non-PTSD subjects [1,994 vertices, <italic>P</italic> = 0.0265, corrected with random-field-theory (RFT)].</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyt-13-923572-g001.tif"/>
</fig>
</sec>
<sec id="S3.SS3">
<title>Interregional network substrates: Structural covariance networks analysis</title>
<p>The seed-based structural connectivity analyses between PTSD and non-PTSD control groups are presented in <xref ref-type="fig" rid="F2">Figure 2</xref> and <xref ref-type="table" rid="T3">Table 3</xref>. Findings showed that there were three types of alteration of cortical structural covariation for seed regions of interests: positive contrast (PTSD groups &#x003E; non-PTSD controls), negative contrast (PTSD groups &#x003C; non-PTSD controls), and both positive and negative contrasts. When considering positive contrast, there were two seed regions located in the auditory association cortex [left superior temporal gyrus (STG)] and motor cortex (right precentral gyrus) that showed increased covariance with other brain vertices in PTSD patients compared with non-PTSD participants between CTh. When considering the negative contrast, the results showed that lesser connectivities of ten seed regions located in the default mode network (DMN) regions [including left posterior cingulated cortex (PCC), right precuneus, right medial prefrontal cortex/anterior cingulate cortex (mPFC/ACC) and right inferior parietal lobule (IPL)], midline cortex structures [including bilateral medial frontal gyrus (MFG), right mid-cingulate cortex (MCC)], visual cortex [including left middle occipital gyrus (MOG) and left inferior temporal gyrus (ITG)], and limbic system (right amygdala) were found in PTSD patients compared with non-PTSD participants between CTh. When both positive and negative sides were considered, there were two seed regions including the left insula and precentral gyrus.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption><p>The structural connectivity network profile between the abnormal seed areas and the whole-brain cortical surface points in a combined sample of post-traumatic stress disorder (PTSD) group and non-PTSD. Bands with red and blue represent increased and decreased covariance, respectively. Ring color with gradient red and green-blue represents areas in the collected abnormal seeds and the whole-brain cortical surface, respectively. And the Desikan-Killiany atlas (thirty-four regions/per hemisphere) underlay the whole-brain cortical parcellations. As for abbreviations on the drawing, please refer to <xref ref-type="supplementary-material" rid="IS1">Supplementary Table 1</xref>.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyt-13-923572-g002.tif"/>
</fig>
<table-wrap position="float" id="T3">
<label>TABLE 3</label>
<caption><p>Abnormal seed-based structural connectivity between post-traumatic stress disorder (PTSD) and non-PTSD (cluster <italic>p</italic> &#x003C; 0.05, p-random-field-theory (RFT) corrected).</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Seed numbers and regions</td>
<td valign="top" align="center" colspan="3">Peak of clusters<hr/></td>
<td valign="top" align="center">NVtxs</td>
<td valign="top" align="center">p-RFT</td>
<td valign="top" align="center">Anatomical location of clusters</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">X</td>
<td valign="top" align="center">Y</td>
<td valign="top" align="center">Z</td>
<td/>
<td/>
<td valign="top" align="center"/></tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><bold>Positive contrast (PTSD &#x003E; non-PTSD)</bold></td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">17 L superior temporal gyrus</td>
<td valign="top" align="center">&#x2212;9</td>
<td valign="top" align="center">16</td>
<td valign="top" align="center">39</td>
<td valign="top" align="center">2986</td>
<td valign="top" align="center">0.002</td>
<td valign="top" align="center">L superior frontal</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">&#x2212;23</td>
<td valign="top" align="center">&#x2212;22</td>
<td valign="top" align="center">&#x2212;18</td>
<td valign="top" align="center">38</td>
<td valign="top" align="center">0.006</td>
<td valign="top" align="center">L parahippocampal</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">4</td>
<td valign="top" align="center">&#x2212;48</td>
<td valign="top" align="center">33</td>
<td valign="top" align="center">2204</td>
<td valign="top" align="center">0.01</td>
<td valign="top" align="center">R posterior cingulate<break/> R isthmus cingulate</td>
</tr>
<tr>
<td valign="top" align="left">24 R precentral gyrus</td>
<td valign="top" align="center">40</td>
<td valign="top" align="center">&#x2212;26</td>
<td valign="top" align="center">56</td>
<td valign="top" align="center">4605</td>
<td valign="top" align="center">0.0003</td>
<td valign="top" align="center">R postcentral</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">24</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">58</td>
<td valign="top" align="center">3010</td>
<td valign="top" align="center">0.002</td>
<td valign="top" align="center">R superior frontal</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">&#x2212;58</td>
<td valign="top" align="center">&#x2212;25</td>
<td valign="top" align="center">31</td>
<td valign="top" align="center">3500</td>
<td valign="top" align="center">0.004</td>
<td valign="top" align="center">L supramarginal</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">&#x2212;21</td>
<td valign="top" align="center">&#x2212;18</td>
<td valign="top" align="center">&#x2212;22</td>
<td valign="top" align="center">35</td>
<td valign="top" align="center">0.0089</td>
<td valign="top" align="center">L parahippocampal</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">47</td>
<td valign="top" align="center">&#x2212;40</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">2334</td>
<td valign="top" align="center">0.03</td>
<td valign="top" align="center">R bankssts</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">15</td>
<td valign="top" align="center">&#x2212;31</td>
<td valign="top" align="center">39</td>
<td valign="top" align="center">1731</td>
<td valign="top" align="center">0.049</td>
<td valign="top" align="center">R paracentral</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Negative contrast (PTSD &#x003C; non-PTSD)</bold></td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">3 R amygdala</td>
<td valign="top" align="center">35</td>
<td valign="top" align="center">&#x2212;46</td>
<td valign="top" align="center">38</td>
<td valign="top" align="center">3934</td>
<td valign="top" align="center">0.0005</td>
<td valign="top" align="center">R superior parietal<break/> R inferior parietal</td>
</tr>
<tr>
<td valign="top" align="left">5 R medial prefrontal cortex</td>
<td valign="top" align="center">&#x2212;21</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">&#x2212;25</td>
<td valign="top" align="center">111</td>
<td valign="top" align="center">0.00003</td>
<td valign="top" align="center">L entorhinal</td>
</tr>
<tr>
<td valign="top" align="left">9 R medial frontal gyrus</td>
<td valign="top" align="center">&#x2212;24</td>
<td valign="top" align="center">&#x2212;1</td>
<td valign="top" align="center">&#x2212;23</td>
<td valign="top" align="center">111</td>
<td valign="top" align="center">0.00004</td>
<td valign="top" align="center">L entorhinal</td>
</tr>
<tr>
<td valign="top" align="left">13 R precuneus</td>
<td valign="top" align="center">&#x2212;23</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">&#x2212;25</td>
<td valign="top" align="center">206</td>
<td valign="top" align="center">0.0004</td>
<td valign="top" align="center">L entorhinal</td>
</tr>
<tr>
<td valign="top" align="left">14 L posterior cingulate cortex</td>
<td valign="top" align="center">&#x2212;2</td>
<td valign="top" align="center">29</td>
<td valign="top" align="center">&#x2212;4</td>
<td valign="top" align="center">74</td>
<td valign="top" align="center">0.02</td>
<td valign="top" align="center">Lrostral anterior cingulate</td>
</tr>
<tr>
<td valign="top" align="left">19 R mid-cingulate cortex</td>
<td valign="top" align="center">&#x2212;19</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">&#x2212;30</td>
<td valign="top" align="center">112</td>
<td valign="top" align="center">0.0001</td>
<td valign="top" align="center">L entorhinal</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">&#x2212;28</td>
<td valign="top" align="center">&#x2212;14</td>
<td valign="top" align="center">&#x2212;35</td>
<td valign="top" align="center">1548</td>
<td valign="top" align="center">0.00999</td>
<td valign="top" align="center">L parahippocampal<break/> L entorhinal</td>
</tr>
<tr>
<td valign="top" align="left">20 R inferior parietal lobule</td>
<td valign="top" align="center">&#x2212;2</td>
<td valign="top" align="center">&#x2212;18</td>
<td valign="top" align="center">29</td>
<td valign="top" align="center">51</td>
<td valign="top" align="center">0.0068</td>
<td valign="top" align="center">L posterior cingulate</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">64</td>
<td valign="top" align="center">&#x2212;42</td>
<td valign="top" align="center">23</td>
<td valign="top" align="center">2351</td>
<td valign="top" align="center">0.015</td>
<td valign="top" align="center">R supramarginal</td>
</tr>
<tr>
<td valign="top" align="left">21 L middle occipital gyrus</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">&#x2212;51</td>
<td valign="top" align="center">45</td>
<td valign="top" align="center">2169</td>
<td valign="top" align="center">0.02</td>
<td valign="top" align="center">R superior parietal</td>
</tr>
<tr>
<td valign="top" align="left">25 L inferior temporal gyrus</td>
<td valign="top" align="center">54</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">&#x2212;2</td>
<td valign="top" align="center">2317</td>
<td valign="top" align="center">0.003</td>
<td valign="top" align="center">R pars triangularis</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">33</td>
<td valign="top" align="center">&#x2212;47</td>
<td valign="top" align="center">40</td>
<td valign="top" align="center">2775</td>
<td valign="top" align="center">0.004</td>
<td valign="top" align="center">R superior parietal</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">57</td>
<td valign="top" align="center">&#x2212;33</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">2836</td>
<td valign="top" align="center">0.01</td>
<td valign="top" align="center">L supramarginal<break/> L superior temporal</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">&#x2212;46</td>
<td valign="top" align="center">&#x2212;68</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">1952</td>
<td valign="top" align="center">0.01</td>
<td valign="top" align="center">L lateral occipital<break/> L inferior parietal</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">&#x2212;3</td>
<td valign="top" align="center">&#x2212;28</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">48</td>
<td valign="top" align="center">0.049</td>
<td valign="top" align="center">L posterior cingulate</td>
</tr>
<tr>
<td valign="top" align="left">8 L middle frontal gyrus</td>
<td valign="top" align="center">&#x2212;19</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">&#x2212;30</td>
<td valign="top" align="center">2178</td>
<td valign="top" align="center">0.00002</td>
<td valign="top" align="center">L parahippocampal<break/> L entorhinal</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">41</td>
<td valign="top" align="center">&#x2212;30</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">2894</td>
<td valign="top" align="center">0.02</td>
<td valign="top" align="center">R supramarginal<break/> R transverse temporal</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Two-sided contrast (both positive and negative)</bold></td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">6 L insula (positive)</td>
<td valign="top" align="center">&#x2212;5</td>
<td valign="top" align="center">39</td>
<td valign="top" align="center">52</td>
<td valign="top" align="center">2780</td>
<td valign="top" align="center">0.0037</td>
<td valign="top" align="center">L superior frontal</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">38</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">42</td>
<td valign="top" align="center">2195</td>
<td valign="top" align="center">0.0083</td>
<td valign="top" align="center">R rostral middle frontal</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">&#x2212;9</td>
<td valign="top" align="center">&#x2212;56</td>
<td valign="top" align="center">64</td>
<td valign="top" align="center">2098</td>
<td valign="top" align="center">0.02</td>
<td valign="top" align="center">L precuneus</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">8</td>
<td valign="top" align="center">&#x2212;54</td>
<td valign="top" align="center">26</td>
<td valign="top" align="center">1846</td>
<td valign="top" align="center">0.04</td>
<td valign="top" align="center">R precuneus</td>
</tr>
<tr>
<td valign="top" align="left">6 L insula (negative)</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">&#x2212;6</td>
<td valign="top" align="center">&#x2212;29</td>
<td valign="top" align="center">40</td>
<td valign="top" align="center">0.0097</td>
<td valign="top" align="center">R entorhinal</td>
</tr>
<tr>
<td valign="top" align="left">23 L precentral gyrus (positive)</td>
<td valign="top" align="center">54</td>
<td valign="top" align="center">&#x2212;11</td>
<td valign="top" align="center">33</td>
<td valign="top" align="center">9343</td>
<td valign="top" align="center">0.00001</td>
<td valign="top" align="center">R postcentral</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">29</td>
<td valign="top" align="center">42</td>
<td valign="top" align="center">32</td>
<td valign="top" align="center">3613</td>
<td valign="top" align="center">0.0003</td>
<td valign="top" align="center">R rostral middle frontal</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">&#x2212;27</td>
<td valign="top" align="center">&#x2212;39</td>
<td valign="top" align="center">53</td>
<td valign="top" align="center">3754</td>
<td valign="top" align="center">0.003</td>
<td valign="top" align="center">L postcentral<break/> L superior parietal</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">&#x2212;16</td>
<td valign="top" align="center">&#x2212;66</td>
<td valign="top" align="center">64</td>
<td valign="top" align="center">2701</td>
<td valign="top" align="center">0.003</td>
<td valign="top" align="center">L middle temporal<break/> L temporal pole</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">&#x2212;26</td>
<td valign="top" align="center">55</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">2387</td>
<td valign="top" align="center">0.007</td>
<td valign="top" align="center">L rostral middle frontal</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">2556</td>
<td valign="top" align="center">0.009</td>
<td valign="top" align="center">R precuneus<break/> R isthmus cingulate</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">18</td>
<td valign="top" align="center">&#x2212;55</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">1914</td>
<td valign="top" align="center">0.02</td>
<td valign="top" align="center">L superior parietal</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">&#x2212;22</td>
<td valign="top" align="center">&#x2212;20</td>
<td valign="top" align="center">&#x2212;20</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">0.03</td>
<td valign="top" align="center">L parahippocampal</td>
</tr>
<tr>
<td valign="top" align="left">23 L precentral gyrus (negative)</td>
<td valign="top" align="center">42</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">25</td>
<td valign="top" align="center">5375</td>
<td valign="top" align="center">0.0003</td>
<td valign="top" align="center">R precentral</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">&#x2212;27</td>
<td valign="top" align="center">&#x2212;2</td>
<td valign="top" align="center">&#x2212;22</td>
<td valign="top" align="center">54</td>
<td valign="top" align="center">0.004</td>
<td valign="top" align="center">L entorhinal</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>NVtxs, number of vertices; L, left; R, right.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>In summary, covariance networks found were centered on six key regions, and representative images are shown in <xref ref-type="fig" rid="F3">Figure 3</xref>. These were connectivities: (1) of seed regions including the right mPFC/ACC, right precuneus, right MCC, left insula, left precentral gyrus, and bilateral MFG with the bilateral entorhinal (<xref ref-type="fig" rid="F3">Figure 3A</xref>); (2) of seed regions including the left MFG, left STG, right MCC, and bilateral precentral gyrus with the left parahippocampal (<xref ref-type="fig" rid="F3">Figure 3B</xref>); (3) of seed regions including the right amygdala, left MOG, left precentral gyrus, and left ITG with the bilateral superior parietal gyrus (SPG) (<xref ref-type="fig" rid="F3">Figure 3C</xref>); (4) of seed regions including the left MFG, right IPL, right precentral gyrus, and left ITG with the bilateral supramarginal gyrus (SMG) (<xref ref-type="fig" rid="F3">Figure 3D</xref>); (5) of seed regions including the left STG, right IPL, and left ITG with the bilateral PCC (<xref ref-type="fig" rid="F3">Figure 3E</xref>); (6) of seed regions including the left insula and precentral gyrus with the bilateral precuneus (<xref ref-type="fig" rid="F3">Figure 3F</xref>). All these findings survived the p-RFT &#x003C; 0.05 correction. For RFT-corrected maps depicting SCNs of all reported findings, please see <xref ref-type="supplementary-material" rid="IS1">Supplementary Figures 1</xref>&#x2013;<xref ref-type="supplementary-material" rid="IS1">18</xref>.</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption><p>The main altered connectivity network profiles in structural covariance between post-traumatic stress disorder (PTSD) and none-PTSD group, centered on six key regions. <bold>(A)</bold> The connectivity network profiles of the right medial prefrontal cortex (mPFC), right precuneus, right mid-cingulate cortex (MCC), left insula, left precentral gyrus, and bilateral medial frontal gyrus (MFG) with the bilateral entorhinal. Bands with red and blue represent increased and decreased covariance, respectively. Ring color with gradient red and green-blue represents areas in the collected abnormal seeds and the whole-brain cortical surface, respectively. And the Desikan-Killiany atlas (thirty-four regions/per hemisphere) underlay the whole-brain cortical parcellations; <bold>(B)</bold> the connectivity network profiles of the left MFG, left superior temporal gyrus (STG), right MCC, and bilateral precentral gyrus with the left parahippocampal; <bold>(C)</bold> the connectivity network profiles of the right amygdala, left middle occipital gyrus (MOG), left precentral gyrus, and left inferior temporal gyrus (ITG) with bilateral superior parietal gyrus; <bold>(D)</bold> the connectivity network profiles of the left MFG, right inferior parietal lobule (IPL), right precentral gyrus, and left ITG with bilateral supramarginal gyrus; <bold>(E)</bold> the connectivity network profiles of the left STG, right IPL, and left ITG with the bilateral posterior cingulated cortex; <bold>(F)</bold> the connectivity network profiles of the left insula and precentral gyrus with the bilateral precuneus bilateral. As for abbreviations on the drawing, please refer to <xref ref-type="supplementary-material" rid="IS1">Supplementary Table 1</xref>.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyt-13-923572-g003.tif"/>
</fig>
</sec>
</sec>
<sec id="S4" sec-type="discussion">
<title>Discussion</title>
<p>The current research provides insights into the regional structure and interregional network differences of posttraumatic patients, in a well-characterized combined sample of children and adolescents after an earthquake, between 8 and 18&#x00B0;years of age. By using surface-based morphometry analysis, we analyzed CTh and examined the structural covariance connectivity of the abnormal regions involved in PTSD on network-level between participants with and without PTSD. As expected, on the structural whole-cortex vertex-wise level, a significant reduction in CTh was detected in the left mOFC. In the interregional structural covariance analysis, several seed regions mainly located in the DMN regions, midline cortex structures, motor cortex, auditory association cortex, limbic system, and visual cortex showed altered structural connectivities with six key regions: the bilateral entorhinal; the left parahippocampal; the bilateral SPG; the bilateral SMG; the bilateral PCC and the bilateral precuneus compared the PTSD subjects with the non-PTSD.</p>
<sec id="S4.SS1">
<title>Alterations in regional cortical thickness between groups</title>
<p>Post-traumatic stress disorder (PTSD) patients highlighted significantly thinner cortex in the left mOFC than non-PTSD groups. One of the leading factors in PTSD is the failure of fear extinction, and the reported mOFC which plays an important role in extinction learning is closely associated with the fear loop (<xref ref-type="bibr" rid="B38">38</xref>&#x2013;<xref ref-type="bibr" rid="B40">40</xref>). The mOFC in classical experiments (<xref ref-type="bibr" rid="B41">41</xref>&#x2013;<xref ref-type="bibr" rid="B43">43</xref>) has been widely considered to be involved in the retention or recall of extinction learning. In addition, the brain activity in the mOFC region decreased during experiencing a trauma (<xref ref-type="bibr" rid="B44">44</xref>), which seemed to reflect the lack of the &#x201C;switch-off&#x201D; mechanism of fear at this point (<xref ref-type="bibr" rid="B45">45</xref>). Furthermore, evidence from neuroimaging research suggested a positive correlation between the cortex thickness of mOFC and extinction recall (<xref ref-type="bibr" rid="B46">46</xref>, <xref ref-type="bibr" rid="B47">47</xref>). And Morey et al. found that there were smaller orbitofrontal volumes in minors with PTSD (<xref ref-type="bibr" rid="B48">48</xref>). Taken together, individuals will maintain a better extinction ability to respond to fear when mOFC regions are activated more. In contrast to that, the thinner cortex in the mOFC of PTSD patients found in this research may reflect the reduced flexibility to control fear and may make children and adolescents more vulnerable to traumatic events. Therefore, the abnormalities in mOFC areas might be the outcome of disrupted extinction recall mechanisms for fear in PTSD.</p>
</sec>
<sec id="S4.SS2">
<title>Alterations in interregional structural covariance networks</title>
<p>Covariance networks in the current study were significantly correlated with brain activations in areas centered on six key regions: the bilateral entorhinal, the left parahippocampal, the bilateral SPG, the bilateral SMG, the bilateral PCC, and the bilateral precuneus. Previous studies on the SCNs of PTSD have shown the structural integrity of the cingulate region, the cingulum bundle, and/or the amygdala or amygdala and other frontal regions in the adult population (<xref ref-type="bibr" rid="B49">49</xref>&#x2013;<xref ref-type="bibr" rid="B52">52</xref>). At the same time, there are only a few reports about the structural connectivity changes derived from cortical thickness for minors with PTSD, which reported abnormalities in the left PCC, the right inferior frontal cortex, and the left ACC (<xref ref-type="bibr" rid="B53">53</xref>, <xref ref-type="bibr" rid="B54">54</xref>). The current study discovered abnormal integrations of the structural connectivity of the entorhinal cortex, parahippocampal, and parietal cortex for children and adolescents with PTSD. These extensive abnormalities of integrated changes of structural connectivity may reveal why children and adolescents might be more vulnerable to the harmful effects of disastrous events, which will continuously threaten the health and welfare of current and future generations calling for more post-disaster policy attentions to the trauma problems faced by children in the process of growth and development after the earthquake and giving them long-term interventions and support (<xref ref-type="bibr" rid="B55">55</xref>, <xref ref-type="bibr" rid="B56">56</xref>).</p>
<p>The entorhinal, parahippocampal, PCC, and precuneus are important components of the episodic memory network which have been proved to be often activated during episodic recall in PTSD patients by imaging studies (<xref ref-type="bibr" rid="B57">57</xref>&#x2013;<xref ref-type="bibr" rid="B62">62</xref>). The entorhinal cortex and parahippocampal work together for spatial positioning and the formation of declarative memory (<xref ref-type="bibr" rid="B63">63</xref>). As the primary interface for information flow between the neocortex and the parahippocampal formation, the entorhinal cortex receives multimodal information from other cortical regions and then transmits them to the parahippocampal (<xref ref-type="bibr" rid="B64">64</xref>). We observed reduced structural connectivities in DMN regions (including right mPFC and right precuneus), midline cortex structures (including bilateral MFG and right MCC), the motor cortex (right precentral gyrus) with the left entorhinal and in left insula with the right entorhinal, which may be a result of inhibition of information flow between entorhinal cortex and neocortex associated with unique symptoms of emotional processing, re-experiencing memory and awareness of bodily states in PTSD youths. Additionally, the disturbance of structural connectivity in the parahippocampal might be the basis for sensory and contextual memory defects in posttraumatic patients (<xref ref-type="bibr" rid="B65">65</xref>, <xref ref-type="bibr" rid="B66">66</xref>). The results that there were decreased structural connectivities in the midline cortex structures (including left MFG and right MCC)) and increased structural connectivities in the motor cortex (right precentral gyrus) and auditory association cortex (left STG) with the left parahippocampal gyrus supported the dual representation theory of PTSD (<xref ref-type="bibr" rid="B67">67</xref>), which suggest a dissociation between sensory and contextual memory representations in PTSD. This abnormal alteration of connectivity in the left parahippocampal gyrus is consistent with the previous structural covariance network studies showing that there was an increased correlation between the limbic system and the visual-related cortex (<xref ref-type="bibr" rid="B51">51</xref>) and impaired integration of the prefrontal limbic network with other parts of the brain in PTSD patients (<xref ref-type="bibr" rid="B68">68</xref>). Similar dissociation between hyperactive sensorimotor regions and hypoactive memory-associated regions was reported during PTSD-related flashbacks (<xref ref-type="bibr" rid="B69">69</xref>, <xref ref-type="bibr" rid="B70">70</xref>). Viard et al. indicated decreased within-DMN connectivity of PCC in adolescents with PTSD (<xref ref-type="bibr" rid="B71">71</xref>), so the decreased structural connectivity in the visual cortex (left ITG) and DMN regions (right IPL) is known for their roles in visual mental imagery and contextual cue processing (<xref ref-type="bibr" rid="B67">67</xref>, <xref ref-type="bibr" rid="B72">72</xref>) with the left PCC and the increased structural connectivity between auditory association cortex (left STG) and the right PCC might relate with distorted images and sounds, dysfunctional autobiographical memory retrieval. The precuneus which responds to multiple cognitive processes could be divided into regions involved in cognition, sensorimotor, and visual processing (<xref ref-type="bibr" rid="B73">73</xref>). Our results that seed regions in the left insula and precentral gyrus were structurally connected with the bilateral precuneus confirm this separation and might help explain the complex clinical manifestations of PTSD patients. From the above, our findings of altered structural connectivity of the four areas in the episodic memory network may be the foundation of trauma re-experiencing and recalling in children and adolescents with PTSD.</p>
<p>In addition, there were different connections in the bilateral SPG and SMG for PTSD patients compared with controls. The SPG is known for a crucial role in the early integration of visuospatial information carried by somatosensory, proprioceptive, and auditory stimuli (<xref ref-type="bibr" rid="B74">74</xref>, <xref ref-type="bibr" rid="B75">75</xref>). And SMG is the secondary somatosensory cortex which can integrate exogenous and internal-sensory information (<xref ref-type="bibr" rid="B76">76</xref>). The precentral gyrus has an increased structural connection with SPG and SMG may indicate that PTSD patients are more difficult to process tactile and proprioceptive visuospatial sensory information related to external cues to carry out somatic drive. The decreased connection in the amygdala, MOG, and ITG with SPG suggests that PTSD patients have a reduced ability to integrate visuospatial information. Besides, the decreased connection between the inferior temporal gyrus and supramarginal gyrus may reveal the decreased spatial perception of PTSD patients. Consequently, these connection changes in SPG and SMG may reflect the reduction of visuospatial information integration ability in the youth population with PTSD.</p>
</sec>
</sec>
<sec id="S5" sec-type="conclusion">
<title>Conclusion</title>
<p>This research supplemented deeper insights to structure and network substrates of posttraumatic patients in children and adolescents, suggesting that cortical alterations related to trauma exposure are present in this population, probably by driving specific symptom clusters associated with disrupted extinction recall mechanisms for fear, episodic memory network, and visuospatial attention. In other words, connections in certain cortical regions may underlie the presentation of certain symptoms. These changes in regional and interregional structural features have significant implications for understanding the neural underpinnings of young posttraumatic patients.</p>
<p>However, several limitations deserve attention. Firstly, due to the limited sample size of subjects, regional alterations between groups may lack sensitivity and results should be considered rather preliminary. Secondly, for the control group, only traumatized non-PTSD individuals were included but healthy controls who had not experienced a traumatic event were not. Finally, current interregional analyses are conducted at the group-level, only reflecting differences in co-variance networks between two populations not including modulation effects of SCN by clinical characteristics. In the future, further individualized structural covariance networks analysis will be implemented using a larger sample of posttraumatic patients and adding non-traumatized healthy controls to explore individual differences among children and adolescents and modulation effects of cortical thickness by clinical characteristics.</p>
</sec>
<sec id="S6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in this study are included in the article/<xref ref-type="supplementary-material" rid="IS1">Supplementary material</xref>, further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec id="S7">
<title>Ethics statement</title>
<p>The studies involving human participants were reviewed and approved by the Medical Ethics Committee of West China Hospital, Sichuan University. Written informed consent to participate in this study was provided by the participants&#x2019; legal guardian/next of kin.</p>
</sec>
<sec id="S8">
<title>Author contributions</title>
<p>XM and JZ designed the study. LL, GZ, XH, and HZ organized the database. XM performed the statistical analysis and wrote the first draft of the manuscript. MH, LZ, YL, and XM wrote sections of the manuscript. All authors contributed to the article and approved the submitted version.</p>
</sec>
</body>
<back>
<sec id="S9" sec-type="funding-information">
<title>Funding</title>
<p>This work was funded by the Med-X Center for Informatics funding project (YGJC012), National Science Foundation of China (Grant No. 82171513), 1&#x22C5;3&#x22C5;5 project for disciplines of excellence, West China Hospital, Sichuan University (Grant No. ZYJC21041), and Sichuan Science and Technology Program (Grant No. 2022YFS0178).</p>
</sec>
<sec id="S10" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="S11" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="S12" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fpsyt.2022.923572/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fpsyt.2022.923572/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Image_1.PDF" id="IS1" mimetype="application/pdf" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
<fn-group>
<fn id="footnote1">
<label>1</label>
<p><ext-link ext-link-type="uri" xlink:href="http://surfer.nmr.mgh.harvard.edu">http://surfer.nmr.mgh.harvard.edu</ext-link></p></fn>
<fn id="footnote2">
<label>2</label>
<p><ext-link ext-link-type="uri" xlink:href="https://www.math.mcgill.ca/keith/surfstat/">https://www.math.mcgill.ca/keith/surfstat/</ext-link></p></fn>
<fn id="footnote3">
<label>3</label>
<p><ext-link ext-link-type="uri" xlink:href="https://www.ibm.com/analytics/spss-statistics-software">https://www.ibm.com/analytics/spss-statistics-software</ext-link></p></fn>
</fn-group>
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