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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Neurosci.</journal-id>
<journal-title>Frontiers in Neuroscience</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Neurosci.</abbrev-journal-title>
<issn pub-type="epub">1662-453X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fnins.2024.1344653</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Neuroscience</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Impacts of dioxin exposure on brain connectivity estimated by DTI analysis of MRI images in men residing in contaminated areas of Vietnam</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Thao</surname> <given-names>Pham Ngoc</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
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<contrib contrib-type="author">
<name><surname>Nishijo</surname> <given-names>Muneko</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author">
<name><surname>Tai</surname> <given-names>Pham The</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<contrib contrib-type="author">
<name><surname>Nghi</surname> <given-names>Tran Ngoc</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
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<contrib contrib-type="author">
<name><surname>Yokawa</surname> <given-names>Takashi</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
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<contrib contrib-type="author">
<name><surname>Hoa</surname> <given-names>Vu Thi</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<contrib contrib-type="author">
<name><surname>Tien</surname> <given-names>Tran Viet</given-names></name>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
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<contrib contrib-type="author">
<name><surname>Kien</surname> <given-names>Nguyen Xuan</given-names></name>
<xref ref-type="aff" rid="aff7"><sup>7</sup></xref>
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<contrib contrib-type="author">
<name><surname>Anh</surname> <given-names>Tran Hai</given-names></name>
<xref ref-type="aff" rid="aff8"><sup>8</sup></xref>
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<contrib contrib-type="author">
<name><surname>Nishino</surname> <given-names>Yoshikazu</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<name><surname>Nishijo</surname> <given-names>Hisao</given-names></name>
<xref ref-type="aff" rid="aff9"><sup>9</sup></xref>
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<aff id="aff1"><sup>1</sup><institution>Department of Functional Diagnosis, Military Hospital 103, Vietnam Military Medical University</institution>, <addr-line>Ha Noi</addr-line>, <country>Vietnam</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Epidemiology and Public Health, Kanazawa Medical University</institution>, <addr-line>Ishikawa</addr-line>, <country>Japan</country></aff>
<aff id="aff3"><sup>3</sup><institution>Institute of Biomedicine and Pharmacy, Vietnam Military Medical University</institution>, <addr-line>Ha Noi</addr-line>, <country>Vietnam</country></aff>
<aff id="aff4"><sup>4</sup><institution>Ministry of Health, Vietnamese Government</institution>, <addr-line>Hanoi</addr-line>, <country>Vietnam</country></aff>
<aff id="aff5"><sup>5</sup><institution>Kobe BMA Laboratory, BioView Inc.</institution>, <addr-line>Kobe</addr-line>, <country>Japan</country></aff>
<aff id="aff6"><sup>6</sup><institution>Department of Infectious and Tropical Diseases, Military Hospital 103, Vietnam Military Medical University</institution>, <addr-line>Ha Noi</addr-line>, <country>Vietnam</country></aff>
<aff id="aff7"><sup>7</sup><institution>Department of Military Medical Command and Organization, Vietnam Military Medical University</institution>, <addr-line>Ha Noi</addr-line>, <country>Vietnam</country></aff>
<aff id="aff8"><sup>8</sup><institution>Department of Physiology, Vietnam Military Medical University</institution>, <addr-line>Ha Noi</addr-line>, <country>Vietnam</country></aff>
<aff id="aff9"><sup>9</sup><institution>Department of Sport and Health Sciences, Faculty of Human Sciences, University of East Asia</institution>, <addr-line>Yamaguchi</addr-line>, <country>Japan</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0002">
<p>Edited by: Rossella Ventura, Sapienza University of Rome, Italy</p>
</fn>
<fn fn-type="edited-by" id="fn0003">
<p>Reviewed by: Eiki Kimura, University of Fukui, Japan</p>
<p>Sonia Canterini, Sapienza University of Rome, Italy</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Pham Ngoc Thao, <email>phamngocthaovmmu@gmail.com</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>25</day>
<month>04</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>18</volume>
<elocation-id>1344653</elocation-id>
<history>
<date date-type="received">
<day>26</day>
<month>11</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>15</day>
<month>04</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2024 Thao, Nishijo, Tai, Nghi, Yokawa, Hoa, Tien, Kien, Anh, Nishino and Nishijo.</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Thao, Nishijo, Tai, Nghi, Yokawa, Hoa, Tien, Kien, Anh, Nishino and Nishijo</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>Effects of dioxin exposure on gray matter volume have been reported in previous studies, but a few studies reported effects of dioxin exposure on white matter structure. Therefore, this study was undertaken to investigate the impact of dioxin exposure on white matter microstructure in men living in the most severely dioxin-contaminated areas in Vietnam.</p>
</sec>
<sec>
<title>Methods</title>
<p>In 2019 brain MRI scans from 28 men living near Bien Hoa airbase were obtained at Dong Nai General Hospital, Vietnam, on a 3&#x2009;T scanner using a conventional diffusion tensor imaging sequence. Two exposure markers were indicated by perinatal exposure estimated by assessment of maternal residency in a dioxin-contaminated area during pregnancy and by measurement of blood dioxin levels. A general linear model was used to compare fractional anisotropy (FA) values in 11 white matter tracts in both hemispheres between groups with and without perinatal dioxin exposure and groups with high and low blood dioxin levels after adjusting for covariates.</p>
</sec>
<sec>
<title>Results</title>
<p>The adjusted mean FA value in the left cingulum hippocampal part (CGH) was significantly lower in the perinatal dioxin exposure group compared with the group without perinatal dioxin exposure. The high blood TCDD group showed significantly reduced FA values in the left and right CGH and right uncinate fasciculus (UNC). Moreover, the high blood TEQ-PCDDs group showed significantly lower FA values in the left and right CGH and the left UNC. There were no significant differences in FA values between the groups with high and low TEQ-PCDFs levels or between the groups with high and low TEQ-PCDD/Fs levels.</p>
</sec>
<sec>
<title>Discussion</title>
<p>It was concluded that dioxin exposure during the perinatal period and adulthood may alter the microstructure of white matter tracts in individuals with neurodevelopmental disorders.</p>
</sec>
</abstract>
<kwd-group>
<kwd>dioxin</kwd>
<kwd>diffusion tensor imaging</kwd>
<kwd>fractional anisotropy</kwd>
<kwd>neurodevelopment</kwd>
<kwd>Vietnam</kwd>
</kwd-group>
<contract-num rid="cn1">17H04665 and 18K19709</contract-num>
<contract-sponsor id="cn1">Ministry of Education, Sports, Science and Culture, Japan, Grant-in-Aid for Scientific Research</contract-sponsor>
<counts>
<fig-count count="5"/>
<table-count count="5"/>
<equation-count count="0"/>
<ref-count count="52"/>
<page-count count="13"/>
<word-count count="9081"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Neurodevelopment</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec1">
<title>Introduction</title>
<p>In a 35-year follow-up study of 15 industrial workers in the Czech Republic occupationally exposed to high levels of 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD), <xref ref-type="bibr" rid="ref47">Urban et al. (2007)</xref> reported an increased prevalence of neuropsychological problems and a focal reduction of perfusion in various brain areas using single-photon emission computed tomography (<xref ref-type="bibr" rid="ref47">Urban et al., 2007</xref>). In American veterans exposed to herbicides during the Vietnam war, the US government reported an increased prevalence of Parkinson&#x2019;s disease (<xref ref-type="bibr" rid="ref2">Board on Population Health and Public Health Practice, 2018</xref>). <xref ref-type="bibr" rid="ref23">Martinez et al. (2021)</xref> followed up 316,000 veterans (98% men; mean age: 62&#x2009;years) from 2001 to 2015, and reported that the prevalence of Alzheimer&#x2019;s dementia was almost twice as high in exposed veterans than in unexposed veterans [Hazard ratio (HR): 1.68; 95% Confidence interval (CI): 1.59&#x2013;1.77] (<xref ref-type="bibr" rid="ref23">Martinez et al., 2021</xref>). Moreover, in an investigation of the impact of dioxin exposure on brain morphology using magnetic resonance imaging (MRI), <xref ref-type="bibr" rid="ref20">Lee et al. (2022)</xref> showed significant brain atrophy progression in the bilateral frontal and temporal lobes in Korean veterans exposed to Agent Orange during the Vietnam war (<xref ref-type="bibr" rid="ref20">Lee et al., 2022</xref>). Together, these observations suggest that exposure of the mature brain to dioxins from Agent Orange may cause changes in brain volume, particularly in areas related to cognitive functions.</p>
<p>We investigated the association between dioxin concentration in blood and gray matter volumes in fathers of children in the Bien Hoa birth cohort in our previous studies (<xref ref-type="bibr" rid="ref25">Nghiem et al., 2019</xref>; <xref ref-type="bibr" rid="ref29">Pham et al., 2021</xref>), and found that blood TCDD levels were associated with low gray matter volume in the left fusiform gyrus and the left medial temporal pole, while the toxic equivalent of polychlorinated dibenzo-p-dioxins (TEQ-PCDDs) was correlated with low medial temporal pole volume (<xref ref-type="bibr" rid="ref52">Vu et al., 2021</xref>). We also found significantly reduced left inferior frontal gyrus pars orbitalis volume in men with perinatal exposure, estimated from maternal residency, compared with those without perinatal exposure (<xref ref-type="bibr" rid="ref52">Vu et al., 2021</xref>). These results suggest that dioxin exposure during adulthood and perinatal dioxin exposure (i.e., during brain development) may alter the gray matter in various brain regions and have adverse neurological effects.</p>
<p>Changes in the white matter, including neuronal fibers, can be shown by diffusion tensor imaging (DTI), which provides information on the microstructural features of neural tracts (<xref ref-type="bibr" rid="ref18">Le Bihan et al., 2001</xref>). Fractional anisotropy (FA) is commonly used as a MRI biomarker in DTI studies and reflects the directionality of diffusivity within a tract (<xref ref-type="bibr" rid="ref4">Chanraud et al., 2010</xref>). Reduced FA values indicate a decrease in the connectivity of neuronal fibers, associated with alterations in myelination, axon diameter, axon density and membrane permeability (<xref ref-type="bibr" rid="ref4">Chanraud et al., 2010</xref>; <xref ref-type="bibr" rid="ref14">Jones et al., 2013</xref>), and is frequently found in neurodevelopmental disorders, such as attention deficit hyperactivity disorder (ADHD) (<xref ref-type="bibr" rid="ref7">Damatac et al., 2022</xref>), and in neurodegenerative diseases, such as Parkinson&#x2019;s disease (<xref ref-type="bibr" rid="ref36">Rashidi et al., 2023</xref>).</p>
<p>In the present study, we investigated the effects of dioxin exposure in adulthood and the perinatal period on white matter structures, including neuronal tracts connecting brain regions, indicated by FA values in DTI analysis, in Vietnamese men with alterations in brain gray matter reported by <xref ref-type="bibr" rid="ref52">Vu et al. (2021</xref>, <xref ref-type="bibr" rid="ref51">2023)</xref>. Our findings should provide insight into the impact of long-term dioxin exposure on brain development, particularly because of the longer maturation period of the white matter (until about 40&#x2009;years of age) (<xref ref-type="bibr" rid="ref12">Hasan et al., 2007</xref>; <xref ref-type="bibr" rid="ref19">Lebel et al., 2012</xref>), compared with the gray matter (until adolescence) (<xref ref-type="bibr" rid="ref10">Giedd et al., 1999</xref>).</p>
</sec>
<sec sec-type="materials|methods" id="sec2">
<title>Materials and methods</title>
<sec id="sec3">
<title>Study subjects</title>
<p>A total of 78 mother-and-child pairs living in 10 communities near Bien Hoa airbase were recruited for this study (<xref ref-type="fig" rid="fig1">Figure 1</xref>). The mothers gave birth in Dong Nai prefectural hospital from August to December 2015 and the newborns were examined by electroencephalography (EEG) the day after birth. In 2018, we carried out a follow-up study at 2&#x2009;years of age, with 61 children participating for general neurodevelopmental examination. At that time, we invited the fathers to join an investigation of blood dioxin concentration, and 40 agreed to participate. In 2019, these 40 fathers were invited to undergo brain MRI for the study, but only 33 (60%) participated, with seven men busy with work and absent on the examination day. Four men who showed left-handedness and one participant with extremely high blood TCDD levels (371.5&#x2009;pg./g lipid) were excluded from further analysis. A total of 28 participants were included in the final analysis.</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>The map of the study.</p>
</caption>
<graphic xlink:href="fnins-18-1344653-g001.tif"/>
</fig>
<p>Information on age (years), education (years), smoking habit (yes), alcohol consumption (yes), length of residency in Bien Hoa City (yes), medical history (yes), job, working place related to the airbase (yes) or nearby industrial areas, the previous use of herbicides (yes) and the consumption of food grown on the airbase was recorded from the participant on the examination day. We also interviewed the mothers for their residency history, and found that 12 mothers lived near Bien Hoa airbase during pregnancy (1970 to 1992). Extremely high levels of TCDD in breast milk were previously reported in residents living near Bien Hoa airbase in samples collected in 1970&#x2013;1973 and 1985&#x2013;1988, and in blood samples collected in 1999 (<xref ref-type="bibr" rid="ref39">Schecter et al., 2001</xref>). Furthermore, infant formula was not used as a common feeding method among residents of Bien Hoa City. We therefore surmised that the infants were fed breast milk before weaning. <xref ref-type="bibr" rid="ref52">Vu et al. (2021</xref>, <xref ref-type="bibr" rid="ref51">2023)</xref> suggested that the mothers, who had lived in Bien Hoa before and after birth, were exposed to TCDD originating from Agent Orange even after spraying of the herbicide was discontinued.</p>
<p>The characteristics of the participants are displayed in <xref ref-type="table" rid="tab1">Table 1</xref>. The average age and years of education were 35.8 and 11.6&#x2009;years, respectively. The mean length of residency near Bien Hoa airbase was 19.3&#x2009;years. Among the participants, 13 men (46.4%) were smokers, and 23 men (82.1%) consumed alcohol. However, only 3 men (10.7%) consumed alcohol daily. Furthermore, 3 men (10.7%) had a job inside the airbase or consumed meat grown on the airbase. Three men (10.7%) had a medical history, with two cases of hypertension and one case of gastritis. Among the men, 14 (50%) worked at nearby industrial areas, and 8 men (28.6%) previously used herbicides and pesticides for growing vegetables in their gardens. Their mean BMI was 24.4, with 13 men showing obesity (46.4%; BMI&#x2009;&#x2265;&#x2009;25) (<xref ref-type="table" rid="tab1">Table 1</xref>).</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>The characteristics of the participants (<italic>N</italic>&#x2009;=&#x2009;28).</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Characteristics</th>
<th align="left" valign="top">Unit</th>
<th align="center" valign="top">Mean, <italic>N</italic></th>
<th align="center" valign="top">SD, [%]</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Age</td>
<td align="left" valign="top">Years</td>
<td align="center" valign="top">35.8</td>
<td align="center" valign="top">5.9</td>
</tr>
<tr>
<td align="left" valign="top">Education</td>
<td align="left" valign="top">Years</td>
<td align="center" valign="top">11.6</td>
<td align="center" valign="top">3.1</td>
</tr>
<tr>
<td align="left" valign="top">Smoking</td>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">13</td>
<td align="center" valign="top">[46.4]</td>
</tr>
<tr>
<td align="left" valign="top">Alcohol consumption</td>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">23</td>
<td align="center" valign="top">[82.1]</td>
</tr>
<tr>
<td align="left" valign="top">Length of residency</td>
<td align="left" valign="top">Years</td>
<td align="center" valign="top">19.3</td>
<td align="center" valign="top">14.7</td>
</tr>
<tr>
<td align="left" valign="top">Height</td>
<td align="left" valign="top">cm</td>
<td align="center" valign="top">165.3</td>
<td align="center" valign="top">5.2</td>
</tr>
<tr>
<td align="left" valign="top">Weight</td>
<td align="left" valign="top">kg</td>
<td align="center" valign="top">66.8</td>
<td align="center" valign="top">9.0</td>
</tr>
<tr>
<td align="left" valign="top">BMI</td>
<td align="left" valign="top">kg/m<sup>2</sup></td>
<td align="center" valign="top">24.4</td>
<td align="center" valign="top">2.8</td>
</tr>
<tr>
<td align="left" valign="top">Medical history</td>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">[10.7]</td>
</tr>
<tr>
<td align="left" valign="top">Job related to the airbase</td>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">[10.7]</td>
</tr>
<tr>
<td align="left" valign="top">Worked nearby industrial areas</td>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">14</td>
<td align="center" valign="top">[50.0]</td>
</tr>
<tr>
<td align="left" valign="top">Used herbicides</td>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">[28.6]</td>
</tr>
<tr>
<td align="left" valign="top">Consumed food grown in the airbase</td>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">[10.7]</td>
</tr>
<tr>
<td align="left" valign="top">Their mother lived in Bien Hoa airbase during pregnancy</td>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">12</td>
<td align="center" valign="top">[42.9]</td>
</tr>
<tr>
<td align="left" valign="top" colspan="4"><bold>Blood dioxin concentration</bold>&#x002A;</td>
</tr>
<tr>
<td align="left" valign="top">TCDD</td>
<td align="left" valign="top">pg/g lipid</td>
<td align="center" valign="top">6.3</td>
<td align="center" valign="top">2.2</td>
</tr>
<tr>
<td align="left" valign="top">TEQ-PCDDs</td>
<td align="left" valign="top">pg-TEQ/g lipid</td>
<td align="center" valign="top">21.8</td>
<td align="center" valign="top">1.6</td>
</tr>
<tr>
<td align="left" valign="top">TEQ-PCDFs</td>
<td align="left" valign="top">pg-TEQ/g lipid</td>
<td align="center" valign="top">8.8</td>
<td align="center" valign="top">1.3</td>
</tr>
<tr>
<td align="left" valign="top">TEQ-PCDD/Fs</td>
<td align="left" valign="top">pg-TEQ/g lipid</td>
<td align="center" valign="top">31.2</td>
<td align="center" valign="top">1.4</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>N, Number of participants; SD, standard deviation; BMI, Body mass index; &#x002A;geometrical mean and geometrical standard deviation; TCDD, 2,3,7,8- tetrachlorodibenzo-p-dioxin; TEQ, toxic equivalent; PCDDs, polychlorinated dibenzo-p-dioxins; PCDFs, polychlorinated dibenzo furans.</p>
</table-wrap-foot>
</table-wrap>
<p>Written informed consent was obtained from all mothers according to a process reviewed and approved by the Health Departments of Bien Hoa City and Dong Nai Prefecture. The Institutional Ethics Board for medical and health research involving human subjects at Kanazawa Medical University (ES-187) and the University of Toyama (CS-26-30) approved the study design.</p>
</sec>
<sec id="sec4">
<title>MRI data acquisition and image processing</title>
<p>All subjects were scanned on a Siemens Magnetom Trio Tim system 3&#x2009;T scanner using a conventional DTI sequence (Siemens, Erlangen, Germany) at the Department of Diagnostic Imaging in Dong Nai General Hospital, Vietnam. The parameters of the conventional DTI sequence were as follows: repetition time (TR)&#x2009;=&#x2009;4,800&#x2009;ms, echo time (TE)&#x2009;=&#x2009;76&#x2009;ms, slice thickness&#x2009;=&#x2009;3.0&#x2009;mm, 50 transverse slices without gap covering the whole brain, voxel size&#x2009;=&#x2009;2&#x2009;&#x00D7;&#x2009;2&#x2009;&#x00D7;&#x2009;3&#x2009;mm, field of view&#x2009;=&#x2009;240&#x2009;mm, 12 directions with <italic>b</italic>&#x2009;=&#x2009;1,000&#x2009;s/mm<sup>2</sup> with an additional b0 (<italic>b</italic>-value&#x2009;=&#x2009;0) image.</p>
<p>In the DTI data set, the <italic>b</italic>&#x2009;=&#x2009;0 image was registered to MNI152_T2 using FLIRT and FNIRT (FSL 6.0.0). The other images of the DTI data set were spatially normalized by WARP (FSL) taking the coefficient-field made by the registration by FLIRT and FNIRT. Those normalized data were reconstructed by the Diffusion Toolkit into Diffusion-weighted Imaging, apparent diffusion coefficient, FA maps and TRK data for the visualization program TrackVis, which uses the fiber assignment by continuous tracking approach to reconstruct fiber paths. TrackVis can visualize and analyze fiber track data from diffusion MR imaging tractography. An angle threshold of 45&#x00B0; was selected to determine whether the fiber was in the same orientation. An angle higher than 45&#x00B0; indicated that the fiber was no longer part of the same fiber pathway. No FA threshold was set in TrackVis.</p>
<p>The white matter fiber tract orientation was displayed by yellow color. The DTI parameter, indicated by the FA value, which reflects the anisotropy or directionality of diffusion, was calculated.<xref ref-type="fn" rid="fn0001"><sup>1</sup></xref></p>
</sec>
</sec>
<sec id="sec5">
<title>Region of interest definition</title>
<p>Regions of interest (ROIs) were manually created by a medical doctor blind to dioxin levels of the participants. The examiner was trained thoroughly by a specialist in radiology. A multi-ROI approach was used to reconstruct white matter fiber tracts of interest following the protocol in a previous report (<xref ref-type="bibr" rid="ref53">Wakana et al., 2007</xref>). The fiber tracts of interest penetrated the manually defined ROIs, and tracking results were extracted. The analyzed tracts included the left and right cingulum cingulate gyrus part, the left and right cingulum hippocampal part (CGH), the left and right cortico-spinal tract, the left and right anterior thalamic radiation, the left and right superior longitudinal fasciculus (SLF), the left and right temporal component of the SLF, the left and right inferior longitudinal fasciculus, the left and right inferior fronto-occipital fasciculus, the left and right uncinate fasciculus (UNC), the forceps major, and the frontal projection of the corpus callosum (<xref ref-type="fig" rid="fig2">Figure 2</xref>).</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>The sagital view of nine white matter tracts and axial view of two white matter tracts in left hemisphere evaluated according <xref ref-type="bibr" rid="ref53">Wakana et al. (2007)</xref>; CGC, Cingulum cingulate gyrus part; CGH, Cingulum hippocampal part; CST, Cortico-spinal tract; ATR, Anterior thalamic radiation; SLF, Superior longitudinal fasciculus; tSLF, The temporal component of the SLF; IFL, The inferior longitudinal fasciculus; IFO, The inferior fronto-occipital fasciculus; UNC, The uncinate fasciculus (UNC); Fmajor, The forceps major; Fminor, The frontal projection of the corpus callosum.</p>
</caption>
<graphic xlink:href="fnins-18-1344653-g002.tif"/>
</fig>
<sec id="sec6">
<title>Dioxin exposure analysis</title>
<p>An approximately 20&#x2009;mL volume of venous blood was collected at Bien Hoa Health Center in 2018. Blood samples were frozen and transferred to Japan on dry ice for quantification of 17 2,3,7,8-substituted PCDD and polychlorinated dibenzofuran (PCDF) congeners at Kanazawa Medical University, Uchinada, Japan.</p>
<p>After processing, whole blood samples were dehydrated using an EYELA freeze-dryer (FDU-1200, Tokyo-rika Inc., Tokyo, Japan). The fat content was determined using an ASE-200 accelerated solvent extractor (Dionex, Sunnyvale, CA, USA) before 13C-labeled 2,3,7,8-substituted PCDDs/Fs (DF-LCS-A40, Wellington Laboratories, Guelph, Canada) were added into samples as an internal standard. A multi-layered silica gel column was used to purify samples, and a single-layered column of activated carbon was employed to separate and collect the PCDD/Fs fraction. The final extracted solution was concentrated by nitrogen evaporators, and levels of 17 PCDD and PCDF congeners were measured on a gas chromatograph (HP-6980, Hewlett-Packard, Palo Alto, CA, United States) equipped with a high-resolution mass spectrometer (HR-GC/MS; MStation-JMS700, JEOL, Tokyo, Japan). If the compound fell below the detection limit, half of the limit of detection was recorded as the measured value. Levels of each congener was recorded as pg./g fat. The toxic equivalent (TEQ) of PCDD/Fs in each sample was calculated by summing up the values obtained by multiplying each congener concentration by its toxic equivalent factor referenced from the WHO 2005-TEF (<xref ref-type="bibr" rid="ref48">Van den Berg et al., 2006</xref>). The details of the analysis methods are described elsewhere (<xref ref-type="bibr" rid="ref43">Tawara et al., 2003</xref>; <xref ref-type="bibr" rid="ref49">Van Luong et al., 2018</xref>). Geometrical means and standard deviations of TCDD and TEQ of PCDDs, PCDFs and PCDD/Fs in blood samples are shown in <xref ref-type="table" rid="tab1">Table 1</xref>.</p>
</sec>
<sec id="sec7">
<title>Data analysis</title>
<p>SPSS version 21.0 (IBM, Armonk, NY, United States) was used for statistical analyses. Concentrations of 17 PCDD/F congeners and the TEQ values of PCDDs, PCDFs and PCDD/Fs in blood were logarithmically transformed (base 10) to improve normality. A general linear model was used to compare the FA values in 11 white matter tracts in each hemisphere, between the groups with and without perinatal dioxin exposure and the groups exposed to high and low dioxin levels, after adjusting for confounding factors; these were correlated with FA values (covariates), including age (years) and height (cm). The cut-off value for the high and low exposure groups was set at the 75th percentile value of blood TCDD, TEQ-PCDDs, PCDFs and PCDD/Fs concentrations. At this time, the cut-off values were 29.3, 10.4, and 39.5&#x2009;pg-TEQ/g lipid for TEQ-PCDDs, PCDFs, and PCDD/Fs, respectively, and 10.8&#x2009;pg./g lipid for TCDD.</p>
<p>At that time, the values was set to determine high and low exposure group for TCDD, TEQ-PCDDs, PCDFs and PCDD/Fs as.</p>
</sec>
</sec>
<sec sec-type="results" id="sec8">
<title>Results</title>
<sec id="sec9">
<title>Comparison of the adjusted mean FA values between the groups with and without perinatal dioxin exposure</title>
<p><xref ref-type="table" rid="tab2">Table 2</xref> shows the comparison of the adjusted mean FA values in white matter tracts between the groups with and without perinatal dioxin exposure. The FA value in the left CGH was significantly lower in the perinatal dioxin exposure group compared with the group without perinatal dioxin exposure (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05). The <xref ref-type="fig" rid="fig3">Figure 3</xref> displayed the left CGH indicated by yellow color in case with and without perinatal dioxin exposure. There were no significant differences between these groups in FA values in other white matter tracts in the left hemisphere (<italic>p</italic>&#x2009;&#x003E;&#x2009;0.05). Similarly, no significant differences were observed between these two groups in FA values in white matter tracts in the right hemisphere (<xref ref-type="table" rid="tab2">Table 2</xref>).</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Comparisons of the adjusted mean FA values between the groups with and without perinatal dioxin exposure.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="top" colspan="5">Perinatal dioxin exposure due to spraying of herbicides</th>
</tr>
<tr>
<th/>
<th align="center" valign="top" colspan="2">Without (<italic>N</italic>&#x2009;=&#x2009;16)</th>
<th align="center" valign="top" colspan="2">With (<italic>N</italic>&#x2009;=&#x2009;12)</th>
<th/>
</tr>
<tr>
<th align="left" valign="top">FA values</th>
<th align="center" valign="top">Adj. mean</th>
<th align="center" valign="top">95% C.I. (lower, higher)</th>
<th align="center" valign="top">Adj. mean</th>
<th align="center" valign="top">95% C.I. (lower, higher)</th>
<th align="center" valign="top"><italic>p</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" colspan="6">
<bold>Left hemisphere</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">Cingulum cingulate gyrus part</td>
<td align="char" valign="top" char=".">0.537</td>
<td align="char" valign="top" char="(">(0.522, 0.552)</td>
<td align="char" valign="top" char=".">0.521</td>
<td align="char" valign="top" char="(">(0.503, 0.538)</td>
<td align="char" valign="top" char=".">0.169</td>
</tr>
<tr>
<td align="left" valign="top">Cingulum hippocampal part (CGH)</td>
<td align="char" valign="top" char=".">0.423</td>
<td align="char" valign="top" char="(">(0.414, 0.432)</td>
<td align="char" valign="top" char=".">0.409</td>
<td align="char" valign="top" char="(">(0.398, 0.419)</td>
<td align="char" valign="top" char=".">0.045</td>
</tr>
<tr>
<td align="left" valign="top">Cortico-spinal tract</td>
<td align="char" valign="top" char=".">0.584</td>
<td align="char" valign="top" char="(">(0.576, 0.593)</td>
<td align="char" valign="top" char=".">0.580</td>
<td align="char" valign="top" char="(">(0.570, 0.590)</td>
<td align="char" valign="top" char=".">0.495</td>
</tr>
<tr>
<td align="left" valign="top">Anterior thalamic radiation</td>
<td align="char" valign="top" char=".">0.447</td>
<td align="char" valign="top" char="(">(0.436, 0.457)</td>
<td align="char" valign="top" char=".">0.448</td>
<td align="char" valign="top" char="(">(0.435, 0.460)</td>
<td align="char" valign="top" char=".">0.895</td>
</tr>
<tr>
<td align="left" valign="top">Superior longitudinal fasciculus (SLF)</td>
<td align="char" valign="top" char=".">0.486</td>
<td align="char" valign="top" char="(">(0.475, 0.496)</td>
<td align="char" valign="top" char=".">0.482</td>
<td align="char" valign="top" char="(">(0.470, 0.495)</td>
<td align="char" valign="top" char=".">0.685</td>
</tr>
<tr>
<td align="left" valign="top">The temporal component of the SLF</td>
<td align="char" valign="top" char=".">0.515</td>
<td align="char" valign="top" char="(">(0.504, 0.527)</td>
<td align="char" valign="top" char=".">0.509</td>
<td align="char" valign="top" char="(">(0.495, 0.522)</td>
<td align="char" valign="top" char=".">0.441</td>
</tr>
<tr>
<td align="left" valign="top">Inferior longitudinal fasciculus</td>
<td align="char" valign="top" char=".">0.492</td>
<td align="char" valign="top" char="(">(0.481, 0.503)</td>
<td align="char" valign="top" char=".">0.496</td>
<td align="char" valign="top" char="(">(0.483, 0.509)</td>
<td align="char" valign="top" char=".">0.643</td>
</tr>
<tr>
<td align="left" valign="top">Inferior fronto-occipital fasciculus</td>
<td align="char" valign="top" char=".">0.524</td>
<td align="char" valign="top" char="(">(0.510, 0.538)</td>
<td align="char" valign="top" char=".">0.521</td>
<td align="char" valign="top" char="(">(0.505, 0.538)</td>
<td align="char" valign="top" char=".">0.778</td>
</tr>
<tr>
<td align="left" valign="top">Uncinate fasciculus (UNC)</td>
<td align="char" valign="top" char=".">0.442</td>
<td align="char" valign="top" char="(">(0.425, 0.459)</td>
<td align="char" valign="top" char=".">0.436</td>
<td align="char" valign="top" char="(">(0.416, 0.456)</td>
<td align="char" valign="top" char=".">0.617</td>
</tr>
<tr>
<td align="left" valign="top">The forceps major&#x002A;</td>
<td align="char" valign="top" char=".">0.637</td>
<td align="char" valign="top" char="(">(0.625, 0.649)</td>
<td align="char" valign="top" char=".">0.641</td>
<td align="char" valign="top" char="(">(0.628, 0.655)</td>
<td align="char" valign="top" char=".">0.636</td>
</tr>
<tr>
<td align="left" valign="top">The frontal projection of the corpus callosum&#x002A;</td>
<td align="char" valign="top" char=".">0.557</td>
<td align="char" valign="top" char="(">(0.545, 0.570)</td>
<td align="char" valign="top" char=".">0.565</td>
<td align="char" valign="top" char="(">(0.550, 0.580)</td>
<td align="char" valign="top" char=".">0.420</td>
</tr>
<tr>
<td align="left" valign="top" colspan="6">
<bold>Right hemisphere</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">Cingulum cingulate gyrus part</td>
<td align="char" valign="top" char=".">0.517</td>
<td align="char" valign="top" char="(">(0.505, 0.530)</td>
<td align="char" valign="top" char=".">0.506</td>
<td align="char" valign="top" char="(">(0.491, 0.520)</td>
<td align="char" valign="top" char=".">0.240</td>
</tr>
<tr>
<td align="left" valign="top">Cingulum hippocampal part (CGH)</td>
<td align="char" valign="top" char=".">0.418</td>
<td align="char" valign="top" char="(">(0.404, 0.433)</td>
<td align="char" valign="top" char=".">0.429</td>
<td align="char" valign="top" char="(">(0.412, 0.445)</td>
<td align="char" valign="top" char=".">0.337</td>
</tr>
<tr>
<td align="left" valign="top">Cortico-spinal tract</td>
<td align="char" valign="top" char=".">0.576</td>
<td align="char" valign="top" char="(">(0.565, 0.587)</td>
<td align="char" valign="top" char=".">0.576</td>
<td align="char" valign="top" char="(">(0.563, 0.588)</td>
<td align="char" valign="top" char=".">0.994</td>
</tr>
<tr>
<td align="left" valign="top">Anterior thalamic radiation</td>
<td align="char" valign="top" char=".">0.450</td>
<td align="char" valign="top" char="(">(0.435, 0.464)</td>
<td align="char" valign="top" char=".">0.440</td>
<td align="char" valign="top" char="(">(0.423, 0.457)</td>
<td align="char" valign="top" char=".">0.392</td>
</tr>
<tr>
<td align="left" valign="top">Superior longitudinal fasciculus (SLF)</td>
<td align="char" valign="top" char=".">0.482</td>
<td align="char" valign="top" char="(">(0.471, 0.492)</td>
<td align="char" valign="top" char=".">0.477</td>
<td align="char" valign="top" char="(">(0.466, 0.489)</td>
<td align="char" valign="top" char=".">0.584</td>
</tr>
<tr>
<td align="left" valign="top">The temporal component of the SLF</td>
<td align="char" valign="top" char=".">0.502</td>
<td align="char" valign="top" char="(">(0.490, 0.513)</td>
<td align="char" valign="top" char=".">0.497</td>
<td align="char" valign="top" char="(">(0.484, 0.510)</td>
<td align="char" valign="top" char=".">0.573</td>
</tr>
<tr>
<td align="left" valign="top">Inferior longitudinal fasciculus</td>
<td align="char" valign="top" char=".">0.495</td>
<td align="char" valign="top" char="(">(0.485, 0.506)</td>
<td align="char" valign="top" char=".">0.495</td>
<td align="char" valign="top" char="(">(0.483, 0.507)</td>
<td align="char" valign="top" char=".">0.996</td>
</tr>
<tr>
<td align="left" valign="top">Inferior fronto-occipital fasciculus</td>
<td align="char" valign="top" char=".">0.530</td>
<td align="char" valign="top" char="(">(0.519, 0.541)</td>
<td align="char" valign="top" char=".">0.520</td>
<td align="char" valign="top" char="(">(0.507, 0.533)</td>
<td align="char" valign="top" char=".">0.233</td>
</tr>
<tr>
<td align="left" valign="top">Uncinate fasciculus (UNC)</td>
<td align="char" valign="top" char=".">0.450</td>
<td align="char" valign="top" char="(">(0.439, 0.461)</td>
<td align="char" valign="top" char=".">0.444</td>
<td align="char" valign="top" char="(">(0.431, 0.457)</td>
<td align="char" valign="top" char=".">0.463</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Covariates for: age, height. Adj. Mean, Adjusted mean; N, Number of subjects; FA, Fractional anisotropy; 95% C.I., 95% confidence interval; &#x002A;: the white matter tract that connecting between two hemispheres.</p>
</table-wrap-foot>
</table-wrap>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>The left cingulum hippocampal part in case with and without perinatal dioxin exposure; SCC, the splenium of corpus callosum; CC, Corpus callosum; GCC, the genu of corpus callosum; Ci, Cingulum.</p>
</caption>
<graphic xlink:href="fnins-18-1344653-g003.tif"/>
</fig>
</sec>
<sec id="sec10">
<title>Comparison of the adjusted mean FA values between the high and low blood TCDD groups</title>
<p>The adjusted mean FA values in the white matter tracts in the right and left hemispheres were compared between the high and low blood TCDD groups after adjusting for confounding factors (<xref ref-type="table" rid="tab3">Table 3</xref>). In the left hemisphere, the FA value in the CGH was significantly lower in the high TCDD group compared with the low TCDD group (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05). The FA value in the left cingulum cingulate gyrus part was lower in the high TCDD group compared with the low TCDD group, and this difference was nearly significant (<italic>p</italic>&#x2009;=&#x2009;0.068). There were no significant differences between these groups in FA values in other white matter tracts.</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Comparisons of the adjusted mean FA values between the high and low blood TCDD groups.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="top" colspan="2">Low TCDD group (&#x003C;10.8&#x2009;pg./g lipid) (<italic>N</italic> =&#x2009;21)</th>
<th align="center" valign="top" colspan="2">High TCDD group (&#x2265;10.8&#x2009;pg./g lipid) (<italic>N</italic>&#x2009;=&#x2009;7)</th>
<th/>
</tr>
<tr>
<th align="left" valign="top">FA values</th>
<th align="center" valign="top">Adj. mean</th>
<th align="center" valign="top">95% C.I. (lower, higher)</th>
<th align="center" valign="top">Adj. mean</th>
<th align="center" valign="top">95% C.I. (lower, higher)</th>
<th align="center" valign="top"><italic>p</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" colspan="6">
<bold>Left hemisphere</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">Cingulum cingulate gyrus part</td>
<td align="char" valign="top" char=".">0.536</td>
<td align="char" valign="top" char="(">(0.523, 0.549)</td>
<td align="char" valign="top" char=".">0.512</td>
<td align="char" valign="top" char="(">(0.489, 0.534)</td>
<td align="char" valign="top" char=".">0.068</td>
</tr>
<tr>
<td align="left" valign="top">Cingulum hippocampal part (CGH)</td>
<td align="char" valign="top" char=".">0.422</td>
<td align="char" valign="top" char="(">(0.415, 0.429)</td>
<td align="char" valign="top" char=".">0.400</td>
<td align="char" valign="top" char="(">(0.387, 0.412)</td>
<td align="char" valign="top" char=".">0.005</td>
</tr>
<tr>
<td align="left" valign="top">Cortico-spinal tract</td>
<td align="char" valign="top" char=".">0.585</td>
<td align="char" valign="top" char="(">(0.578, 0.593)</td>
<td align="char" valign="top" char=".">0.574</td>
<td align="char" valign="top" char="(">(0.561, 0.586)</td>
<td align="char" valign="top" char=".">0.119</td>
</tr>
<tr>
<td align="left" valign="top">Anterior thalamic radiation</td>
<td align="char" valign="top" char=".">0.449</td>
<td align="char" valign="top" char="(">(0.440, 0.459)</td>
<td align="char" valign="top" char=".">0.440</td>
<td align="char" valign="top" char="(">(0.423, 0.586)</td>
<td align="char" valign="top" char=".">0.320</td>
</tr>
<tr>
<td align="left" valign="top">Superior longitudinal fasciculus (SLF)</td>
<td align="char" valign="top" char=".">0.485</td>
<td align="char" valign="top" char="(">(0.475, 0.494)</td>
<td align="char" valign="top" char=".">0.483</td>
<td align="char" valign="top" char="(">(0.466, 0.500)</td>
<td align="char" valign="top" char=".">0.843</td>
</tr>
<tr>
<td align="left" valign="top">The temporal component of the SLF</td>
<td align="char" valign="top" char=".">0.512</td>
<td align="char" valign="top" char="(">(0.502, 0.522)</td>
<td align="char" valign="top" char=".">0.512</td>
<td align="char" valign="top" char="(">(0.495, 0.530)</td>
<td align="char" valign="top" char=".">0.988</td>
</tr>
<tr>
<td align="left" valign="top">Inferior longitudinal fasciculus</td>
<td align="char" valign="top" char=".">0.490</td>
<td align="char" valign="top" char="(">(0.485, 0.504)</td>
<td align="char" valign="top" char=".">0.490</td>
<td align="char" valign="top" char="(">(0.473, 0.507)</td>
<td align="char" valign="top" char=".">0.625</td>
</tr>
<tr>
<td align="left" valign="top">Inferior fronto-occipital fasciculus</td>
<td align="char" valign="top" char=".">0.524</td>
<td align="char" valign="top" char="(">(0.511, 0.536)</td>
<td align="char" valign="top" char=".">0.520</td>
<td align="char" valign="top" char="(">(0.511, 0.536)</td>
<td align="char" valign="top" char=".">0.797</td>
</tr>
<tr>
<td align="left" valign="top">Uncinate fasciculus (UNC)</td>
<td align="char" valign="top" char=".">0.443</td>
<td align="char" valign="top" char="(">(0.429, 0.458)</td>
<td align="char" valign="top" char=".">0.428</td>
<td align="char" valign="top" char="(">(0.402, 0.454)</td>
<td align="char" valign="top" char=".">0.306</td>
</tr>
<tr>
<td align="left" valign="top">The forceps major&#x002A;</td>
<td align="char" valign="top" char=".">0.638</td>
<td align="char" valign="top" char="(">(0.628, 0.649)</td>
<td align="char" valign="top" char=".">0.641</td>
<td align="char" valign="top" char="(">(0.623, 0.660)</td>
<td align="char" valign="top" char=".">0.755</td>
</tr>
<tr>
<td align="left" valign="top">The frontal projection of the corpus callosum&#x002A;</td>
<td align="char" valign="top" char=".">0.565</td>
<td align="char" valign="top" char="(">(0.554, 0.576)</td>
<td align="char" valign="top" char=".">0.550</td>
<td align="char" valign="top" char="(">(0.530, 0.569)</td>
<td align="char" valign="top" char=".">0.196</td>
</tr>
<tr>
<td align="left" valign="top" colspan="6">
<bold>Right hemisphere</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">Cingulum cingulate gyrus part</td>
<td align="char" valign="top" char=".">0.511</td>
<td align="char" valign="top" char="(">(0.500, 0.523)</td>
<td align="char" valign="top" char=".">0.515</td>
<td align="char" valign="top" char="(">(0.494, 0.535)</td>
<td align="char" valign="top" char=".">0.784</td>
</tr>
<tr>
<td align="left" valign="top">Cingulum hippocampal part (CGH)</td>
<td align="char" valign="top" char=".">0.418</td>
<td align="char" valign="top" char="(">(0.441, 0.418)</td>
<td align="char" valign="top" char=".">0.403</td>
<td align="char" valign="top" char="(">(0.383, 0.424)</td>
<td align="char" valign="top" char=".">0.033</td>
</tr>
<tr>
<td align="left" valign="top">Cortico-spinal tract</td>
<td align="char" valign="top" char=".">0.574</td>
<td align="char" valign="top" char="(">(0.565, 0.584)</td>
<td align="char" valign="top" char=".">0.579</td>
<td align="char" valign="top" char="(">(0.563, 0.596)</td>
<td align="char" valign="top" char=".">0.595</td>
</tr>
<tr>
<td align="left" valign="top">Anterior thalamic radiation</td>
<td align="char" valign="top" char=".">0.448</td>
<td align="char" valign="top" char="(">(0.435, 0.460)</td>
<td align="char" valign="top" char=".">0.440</td>
<td align="char" valign="top" char="(">(0.417, 0.463)</td>
<td align="char" valign="top" char=".">0.569</td>
</tr>
<tr>
<td align="left" valign="top">Superior longitudinal fasciculus (SLF)</td>
<td align="char" valign="top" char=".">0.480</td>
<td align="char" valign="top" char="(">(0.472, 0.489)</td>
<td align="char" valign="top" char=".">0.478</td>
<td align="char" valign="top" char="(">(0.462, 0.493)</td>
<td align="char" valign="top" char=".">0.768</td>
</tr>
<tr>
<td align="left" valign="top">The temporal component of the SLF</td>
<td align="char" valign="top" char=".">0.500</td>
<td align="char" valign="top" char="(">(0.491, 0.510)</td>
<td align="char" valign="top" char=".">0.498</td>
<td align="char" valign="top" char="(">(0.480, 0.515)</td>
<td align="char" valign="top" char=".">0.779</td>
</tr>
<tr>
<td align="left" valign="top">Inferior longitudinal fasciculus</td>
<td align="char" valign="top" char=".">0.496</td>
<td align="char" valign="top" char="(">(0.486, 0.505)</td>
<td align="char" valign="top" char=".">0.494</td>
<td align="char" valign="top" char="(">(0.478, 0.510)</td>
<td align="char" valign="top" char=".">0.905</td>
</tr>
<tr>
<td align="left" valign="top">Inferior fronto-occipital fasciculus</td>
<td align="char" valign="top" char=".">0.526</td>
<td align="char" valign="top" char="(">(0.516, 0.536)</td>
<td align="char" valign="top" char=".">0.526</td>
<td align="char" valign="top" char="(">(0.509, 0.544)</td>
<td align="char" valign="top" char=".">0.973</td>
</tr>
<tr>
<td align="left" valign="top">Uncinate fasciculus (UNC)</td>
<td align="char" valign="top" char=".">0.452</td>
<td align="char" valign="top" char="(">(0.443, 0.462)</td>
<td align="char" valign="top" char=".">0.432</td>
<td align="char" valign="top" char="(">(0.416, 0.448)</td>
<td align="char" valign="top" char=".">0.034</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Covariates for: age, height. TCDD, 2,3,7,8- tetrachlorodibenzo-p-dioxin; Adj. Mean, Adjusted mean; N, Number of subjects; FA, Fractional anisotropy; 95% C.I., 95% confidence interval; &#x002A;: only one track that connecting between two hemispheres.</p>
</table-wrap-foot>
</table-wrap>
<p>In the right hemisphere, the high TCDD group showed significantly decreased FA values in the CGH and UNC, compared with the low TCDD group (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05). No significant differences between these groups in FA values were found in other white matter tracts (<xref ref-type="table" rid="tab3">Table 3</xref>). Also, the tracts of the left and right CGH, and right UNC in cases with high and low TCDD exposure was shown in <xref ref-type="fig" rid="fig4">Figures 4</xref>, <xref ref-type="fig" rid="fig5">5</xref>.</p>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption>
<p>The left and right cingulum hippocampal part in case with high and low TCDD exposure; SCC, the splenium of corpus callosum; CC, Corpus callosum; GCC, the genu of corpus callosum; Ci, Cingulum.</p>
</caption>
<graphic xlink:href="fnins-18-1344653-g004.tif"/>
</fig>
<fig position="float" id="fig5">
<label>Figure 5</label>
<caption>
<p>The right uncinate fasciculus in case with high and low TCDD exposure; SCC, the splenium of corpus callosum; CC, Corpus callosum; GCC, the genu of corpus callosum; Ci, Cingulum.</p>
</caption>
<graphic xlink:href="fnins-18-1344653-g005.tif"/>
</fig>
</sec>
<sec id="sec11">
<title>Comparison of the adjusted mean FA values between the high and low TEQ-PCDD/fs, TEQ-PCDDs, and TEQ-PCDFs groups</title>
<p>The adjusted mean FA values in 11 white matter tracts were compared between the groups with high and low TEQ-PCDD/Fs, TEQ-PCDDs and TEQ-PCDFs using a general linear model. There were no significant differences between the high and low TEQ-PCDD/Fs groups in FA values in the 11 white matter tracts (<xref ref-type="table" rid="tab4">Table 4</xref>). Similarly, no significant differences between the high and low TEQ-PCDFs groups in FA values in white matter tracts were observed (unpublished data).</p>
<table-wrap position="float" id="tab4">
<label>Table 4</label>
<caption>
<p>Comparison of the adjusted mean FA values between the high and low TEQ-PCDD/Fs.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="top" colspan="2">Low TEQ-PCDD/Fs group (&#x003C;39.5&#x2009;pg-TEQ/g lipid) (<italic>N</italic>&#x2009;=&#x2009;21)</th>
<th align="center" valign="top" colspan="2">High TEQ-PCDD/Fs group (&#x2265;39.5&#x2009;pg-TEQ/g lipid) (<italic>N</italic>&#x2009;=&#x2009;7)</th>
<th/>
</tr>
<tr>
<th align="left" valign="top">FA values</th>
<th align="center" valign="top">Adj. mean</th>
<th align="center" valign="top">95% C.I. (lower, higher)</th>
<th align="center" valign="top">Adj. mean</th>
<th align="center" valign="top">95% C.I. (lower, higher)</th>
<th align="center" valign="top"><italic>p</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" colspan="6">
<bold>Left hemisphere</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">Cingulum cingulate gyrus part</td>
<td align="char" valign="top" char=".">0.527</td>
<td align="char" valign="top" char="(">(0.514, 0.541)</td>
<td align="char" valign="top" char=".">0.538</td>
<td align="char" valign="top" char="(">(0.515, 0.562)</td>
<td align="char" valign="top" char=".">0.400</td>
</tr>
<tr>
<td align="left" valign="top">Cingulum hippocampal part (CGH)</td>
<td align="char" valign="top" char=".">0.419</td>
<td align="char" valign="top" char="(">(0.411, 0.427)</td>
<td align="char" valign="top" char=".">0.410</td>
<td align="char" valign="top" char="(">(0.396, 0.424)</td>
<td align="char" valign="top" char=".">0.281</td>
</tr>
<tr>
<td align="left" valign="top">Cortico-spinal tract</td>
<td align="char" valign="top" char=".">0.584</td>
<td align="char" valign="top" char="(">(0.577, 0.592)</td>
<td align="char" valign="top" char=".">0.577</td>
<td align="char" valign="top" char="(">(0.564, 0.590)</td>
<td align="char" valign="top" char=".">0.335</td>
</tr>
<tr>
<td align="left" valign="top">Anterior thalamic radiation</td>
<td align="char" valign="top" char=".">0.449</td>
<td align="char" valign="top" char="(">(0.439, 0.458)</td>
<td align="char" valign="top" char=".">0.442</td>
<td align="char" valign="top" char="(">(0.426, 0.459)</td>
<td align="char" valign="top" char=".">0.495</td>
</tr>
<tr>
<td align="left" valign="top">Superior longitudinal fasciculus (SLF)</td>
<td align="char" valign="top" char=".">0.484</td>
<td align="char" valign="top" char="(">(0.475, 0.494)</td>
<td align="char" valign="top" char=".">0.483</td>
<td align="char" valign="top" char="(">(0.467, 0.500)</td>
<td align="char" valign="top" char=".">0.907</td>
</tr>
<tr>
<td align="left" valign="top">The temporal component of the SLF</td>
<td align="char" valign="top" char=".">0.511</td>
<td align="char" valign="top" char="(">(0.501, 0.521)</td>
<td align="char" valign="top" char=".">0.516</td>
<td align="char" valign="top" char="(">(0.498, 0.533)</td>
<td align="char" valign="top" char=".">0.655</td>
</tr>
<tr>
<td align="left" valign="top">Inferior longitudinal fasciculus</td>
<td align="char" valign="top" char=".">0.493</td>
<td align="char" valign="top" char="(">(0.483, 0.503)</td>
<td align="char" valign="top" char=".">0.494</td>
<td align="char" valign="top" char="(">(0.478, 0.511)</td>
<td align="char" valign="top" char=".">0.883</td>
</tr>
<tr>
<td align="left" valign="top">Inferior fronto-occipital fasciculus</td>
<td align="char" valign="top" char=".">0.523</td>
<td align="char" valign="top" char="(">(0.511, 0.535)</td>
<td align="char" valign="top" char=".">0.522</td>
<td align="char" valign="top" char="(">(0.501, 0.544)</td>
<td align="char" valign="top" char=".">0.925</td>
</tr>
<tr>
<td align="left" valign="top">Uncinate fasciculus (UNC)</td>
<td align="char" valign="top" char=".">0.444</td>
<td align="char" valign="top" char="(">(0.430, 0.459)</td>
<td align="char" valign="top" char=".">0.425</td>
<td align="char" valign="top" char="(">(0.400, 0.450)</td>
<td align="char" valign="top" char=".">0.177</td>
</tr>
<tr>
<td align="left" valign="top">The forceps major&#x002A;</td>
<td align="char" valign="top" char=".">0.638</td>
<td align="char" valign="top" char="(">(0.628, 0.649)</td>
<td align="char" valign="top" char=".">0.641</td>
<td align="char" valign="top" char="(">(0.623, 0.659)</td>
<td align="char" valign="top" char=".">0.816</td>
</tr>
<tr>
<td align="left" valign="top">The frontal projection of the corpus callosum &#x002A;</td>
<td align="char" valign="top" char=".">0.560</td>
<td align="char" valign="top" char="(">(0.549, 0.571)</td>
<td align="char" valign="top" char=".">0.563</td>
<td align="char" valign="top" char="(">(0.543, 0.583)</td>
<td align="char" valign="top" char=".">0.811</td>
</tr>
<tr>
<td align="left" valign="top" colspan="6">
<bold>Right hemisphere</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">Cingulum cingulate gyrus part</td>
<td align="char" valign="top" char=".">0.511</td>
<td align="char" valign="top" char="(">(0.500, 0.523)</td>
<td align="char" valign="top" char=".">0.515</td>
<td align="char" valign="top" char="(">(0.495, 0.535)</td>
<td align="char" valign="top" char=".">0.735</td>
</tr>
<tr>
<td align="left" valign="top">Cingulum hippocampal part (CGH)</td>
<td align="char" valign="top" char=".">0.428</td>
<td align="char" valign="top" char="(">(0.416, 0.440)</td>
<td align="char" valign="top" char=".">0.407</td>
<td align="char" valign="top" char="(">(0.386, 0.428)</td>
<td align="char" valign="top" char=".">0.085</td>
</tr>
<tr>
<td align="left" valign="top">Cortico-spinal tract</td>
<td align="char" valign="top" char=".">0.572</td>
<td align="char" valign="top" char="(">(0.563, 0.582)</td>
<td align="char" valign="top" char=".">0.585</td>
<td align="char" valign="top" char="(">(0.569, 0.601)</td>
<td align="char" valign="top" char=".">0.166</td>
</tr>
<tr>
<td align="left" valign="top">Anterior thalamic radiation</td>
<td align="char" valign="top" char=".">0.446</td>
<td align="char" valign="top" char="(">(0.433, 0.459)</td>
<td align="char" valign="top" char=".">0.445</td>
<td align="char" valign="top" char="(">(0.423, 0.467)</td>
<td align="char" valign="top" char=".">0.944</td>
</tr>
<tr>
<td align="left" valign="top">Superior longitudinal fasciculus (SLF)</td>
<td align="char" valign="top" char=".">0.479</td>
<td align="char" valign="top" char="(">(0.470, 0.487)</td>
<td align="char" valign="top" char=".">0.483</td>
<td align="char" valign="top" char="(">(0.468, 0.499)</td>
<td align="char" valign="top" char=".">0.584</td>
</tr>
<tr>
<td align="left" valign="top">The temporal component of the SLF</td>
<td align="char" valign="top" char=".">0.498</td>
<td align="char" valign="top" char="(">(0.488, 0.508)</td>
<td align="char" valign="top" char=".">0.504</td>
<td align="char" valign="top" char="(">(0.487, 0.521)</td>
<td align="char" valign="top" char=".">0.508</td>
</tr>
<tr>
<td align="left" valign="top">Inferior longitudinal fasciculus</td>
<td align="char" valign="top" char=".">0.494</td>
<td align="char" valign="top" char="(">(0.485, 0.503)</td>
<td align="char" valign="top" char=".">0.498</td>
<td align="char" valign="top" char="(">(0.482, 0.513)</td>
<td align="char" valign="top" char=".">0.710</td>
</tr>
<tr>
<td align="left" valign="top">Inferior fronto-occipital fasciculus</td>
<td align="char" valign="top" char=".">0.525</td>
<td align="char" valign="top" char="(">(0.515, 0.535)</td>
<td align="char" valign="top" char=".">0.528</td>
<td align="char" valign="top" char="(">(0.511, 0.545)</td>
<td align="char" valign="top" char=".">0.748</td>
</tr>
<tr>
<td align="left" valign="top">Uncinate fasciculus (UNC)</td>
<td align="char" valign="top" char=".">0.448</td>
<td align="char" valign="top" char="(">(0.438, 0.458)</td>
<td align="char" valign="top" char=".">0.446</td>
<td align="char" valign="top" char="(">(0.429, 0.463)</td>
<td align="char" valign="top" char=".">0.850</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Covariates for: age, height. Adj. Mean, Adjusted mean; N, Number of subjects; FA, anisotropy; 95% C.I., 95% confidence interval; TEQ-PCDD/Fs, toxic equivalent of polychlorinated dibenzo-p-dioxins and polychlorinated dibenzo furans; &#x002A;: only one track that connecting between two hemispheres.</p>
</table-wrap-foot>
</table-wrap>
<p>However, the high TEQ-PCDDs group showed significantly reduced adjusted mean FA values in the left and right CGH and left UNC compared with the low TEQ-PCDDs group (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05). There were no significant differences in FA values in other white matter tracts in the left or right hemisphere (<xref ref-type="table" rid="tab5">Table 5</xref>).</p>
<table-wrap position="float" id="tab5">
<label>Table 5</label>
<caption>
<p>Comparisons of the adjusted mean FA values between the high and low TEQ-PCDDs group.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="top" colspan="2">Low TEQ-PCDDs group (&#x003C;29.3&#x2009;pg-TEQ/g lipid) (<italic>N</italic>&#x2009;=&#x2009;21)</th>
<th align="center" valign="top" colspan="2">High TEQ-PCDDs group (&#x2265;29.3&#x2009;pg-TEQ/g lipid) (<italic>N</italic>&#x2009;=&#x2009;7)</th>
<th/>
</tr>
<tr>
<th align="left" valign="top">FA values</th>
<th align="center" valign="top">Adj. mean</th>
<th align="center" valign="top">95% CI (lower, higher)</th>
<th align="center" valign="top">Adj. mean</th>
<th align="center" valign="top">95% CI (lower, higher)</th>
<th align="center" valign="top"><italic>p</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" colspan="6">
<bold>Left hemisphere</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">Cingulum cingulate gyrus part</td>
<td align="char" valign="top" char=".">0.531</td>
<td align="char" valign="top" char="(">(0.517, 0.545)</td>
<td align="char" valign="top" char=".">0.528</td>
<td align="char" valign="top" char="(">(0.503, 0.552)</td>
<td align="char" valign="top" char=".">0.816</td>
</tr>
<tr>
<td align="left" valign="top">Cingulum hippocampal part (CGH)</td>
<td align="char" valign="top" char=".">0.421</td>
<td align="char" valign="top" char="(">(0.414, 0.429)</td>
<td align="char" valign="top" char=".">0.403</td>
<td align="char" valign="top" char="(">(0.390, 0.417)</td>
<td align="char" valign="top" char=".">0.027</td>
</tr>
<tr>
<td align="left" valign="top">Cortico-spinal tract</td>
<td align="char" valign="top" char=".">0.585</td>
<td align="char" valign="top" char="(">(0.578, 0.593)</td>
<td align="char" valign="top" char=".">0.574</td>
<td align="char" valign="top" char="(">(0.561, 0.587)</td>
<td align="char" valign="top" char=".">0.132</td>
</tr>
<tr>
<td align="left" valign="top">Anterior thalamic radiation</td>
<td align="char" valign="top" char=".">0.450</td>
<td align="char" valign="top" char="(">(0.441, 0.460)</td>
<td align="char" valign="top" char=".">0.437</td>
<td align="char" valign="top" char="(">(0.420, 0.453)</td>
<td align="char" valign="top" char=".">0.147</td>
</tr>
<tr>
<td align="left" valign="top">Superior longitudinal fasciculus (SLF)</td>
<td align="char" valign="top" char=".">0.486</td>
<td align="char" valign="top" char="(">(0.477, 0.495)</td>
<td align="char" valign="top" char=".">0.479</td>
<td align="char" valign="top" char="(">(0.462, 0.496)</td>
<td align="char" valign="top" char=".">0.468</td>
</tr>
<tr>
<td align="left" valign="top">The temporal component of the SLF</td>
<td align="char" valign="top" char=".">0.514</td>
<td align="char" valign="top" char="(">(0.504, 0.524)</td>
<td align="char" valign="top" char=".">0.509</td>
<td align="char" valign="top" char="(">(0.504, 0.524)</td>
<td align="char" valign="top" char=".">0.612</td>
</tr>
<tr>
<td align="left" valign="top">Inferior longitudinal fasciculus</td>
<td align="char" valign="top" char=".">0.495</td>
<td align="char" valign="top" char="(">(0.485, 0.505)</td>
<td align="char" valign="top" char=".">0.489</td>
<td align="char" valign="top" char="(">(0.472, 0.506)</td>
<td align="char" valign="top" char=".">0.537</td>
</tr>
<tr>
<td align="left" valign="top">Inferior fronto-occipital fasciculus</td>
<td align="char" valign="top" char=".">0.524</td>
<td align="char" valign="top" char="(">(0.512, 0.536)</td>
<td align="char" valign="top" char=".">0.520</td>
<td align="char" valign="top" char="(">(0.498, 0.542)</td>
<td align="char" valign="top" char=".">0.756</td>
</tr>
<tr>
<td align="left" valign="top">Uncinate fasciculus (UNC)</td>
<td align="char" valign="top" char=".">0.448</td>
<td align="char" valign="top" char="(">(0.434, 0.461)</td>
<td align="char" valign="top" char=".">0.416</td>
<td align="char" valign="top" char="(">(0.392, 0.439)</td>
<td align="char" valign="top" char=".">0.026</td>
</tr>
<tr>
<td align="left" valign="top">The forceps major&#x002A;</td>
<td align="char" valign="top" char=".">0.639</td>
<td align="char" valign="top" char="(">(0.629, 0.650)</td>
<td align="char" valign="top" char=".">0.638</td>
<td align="char" valign="top" char="(">(0.620, 0.657)</td>
<td align="char" valign="top" char=".">0.908</td>
</tr>
<tr>
<td align="left" valign="top">The frontal projection of the corpus callosum&#x002A;</td>
<td align="char" valign="top" char=".">0.564</td>
<td align="char" valign="top" char="(">(0.552, 0.575)</td>
<td align="char" valign="top" char=".">0.553</td>
<td align="char" valign="top" char="(">(0.533, 0.573)</td>
<td align="char" valign="top" char=".">0.356</td>
</tr>
<tr>
<td align="left" valign="top" colspan="6">
<bold>Right hemisphere</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">Cingulum cingulate gyrus part</td>
<td align="char" valign="top" char=".">0.512</td>
<td align="char" valign="top" char="(">(0.501, 0.524)</td>
<td align="char" valign="top" char=".">0.512</td>
<td align="char" valign="top" char="(">(0.491, 0.532)</td>
<td align="char" valign="top" char=".">0.945</td>
</tr>
<tr>
<td align="left" valign="top">Cingulum hippocampal part (CGH)</td>
<td align="char" valign="top" char=".">0.430</td>
<td align="char" valign="top" char="(">(0.419, 0.441)</td>
<td align="char" valign="top" char=".">0.400</td>
<td align="char" valign="top" char="(">(0.380, 0.419)</td>
<td align="char" valign="top" char=".">0.010</td>
</tr>
<tr>
<td align="left" valign="top">Cortico-spinal tract</td>
<td align="char" valign="top" char=".">0.575</td>
<td align="char" valign="top" char="(">(0.565, 0.585)</td>
<td align="char" valign="top" char=".">0.577</td>
<td align="char" valign="top" char="(">(0.560, 0.594)</td>
<td align="char" valign="top" char=".">0.799</td>
</tr>
<tr>
<td align="left" valign="top">Anterior thalamic radiation</td>
<td align="char" valign="top" char=".">0.448</td>
<td align="char" valign="top" char="(">(0.435, 0.461)</td>
<td align="char" valign="top" char=".">0.439</td>
<td align="char" valign="top" char="(">(0.417, 0462)</td>
<td align="char" valign="top" char=".">0.517</td>
</tr>
<tr>
<td align="left" valign="top">Superior longitudinal fasciculus (SLF)</td>
<td align="char" valign="top" char=".">0.481</td>
<td align="char" valign="top" char="(">(0.472, 0.490)</td>
<td align="char" valign="top" char=".">0.477</td>
<td align="char" valign="top" char="(">(0.461, 0.493)</td>
<td align="char" valign="top" char=".">0.668</td>
</tr>
<tr>
<td align="left" valign="top">The temporal component of the SLF</td>
<td align="char" valign="top" char=".">0.500</td>
<td align="char" valign="top" char="(">(0.490, 0.510)</td>
<td align="char" valign="top" char=".">0.498</td>
<td align="char" valign="top" char="(">(0.480, 0.515)</td>
<td align="char" valign="top" char=".">0.785</td>
</tr>
<tr>
<td align="left" valign="top">Inferior longitudinal fasciculus</td>
<td align="char" valign="top" char=".">0.496</td>
<td align="char" valign="top" char="(">(0.487, 0.505)</td>
<td align="char" valign="top" char=".">0.494</td>
<td align="char" valign="top" char="(">(0.478, 0.510)</td>
<td align="char" valign="top" char=".">0.850</td>
</tr>
<tr>
<td align="left" valign="top">Inferior fronto-occipital fasciculus</td>
<td align="char" valign="top" char=".">0.525</td>
<td align="char" valign="top" char="(">(0.515, 0.535)</td>
<td align="char" valign="top" char=".">0.528</td>
<td align="char" valign="top" char="(">(0.510, 0.545)</td>
<td align="char" valign="top" char=".">0.821</td>
</tr>
<tr>
<td align="left" valign="top">Uncinate fasciculus (UNC)</td>
<td align="char" valign="top" char=".">0.451</td>
<td align="char" valign="top" char="(">(0.441, 0.460)</td>
<td align="char" valign="top" char=".">0.437</td>
<td align="char" valign="top" char="(">(0.420, 0.453)</td>
<td align="char" valign="top" char=".">0.146</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Covariates for: age, height. Adj. Mean, Adjusted mean; N, Number of subjects; FA, Fractional anisotropy; 95% C.I., 95% confidence interval; TEQ-PCDDs, toxic equivalency of polychlorinated dibenzo-p-dioxins; &#x002A;: only one track that connecting between two hemispheres.</p>
</table-wrap-foot>
</table-wrap>
<p>To investigate which PCDD congeners may have contributed to the FA value changes, we compared the adjusted mean FA values in the left and right CGH and left UNC with the PeCDD, HxCDD1, HxCDD2, HxCDD3, HpCDD and OCDD levels. The 75th percentile of the concentration value was used to divide subjects into the low and high exposure groups. However, no significant difference was found between the high and low exposure groups for any PeCDD, HxCDD1, HxCDD2, HxCDD3, HpCDD, or OCDD congener (data not shown).</p>
</sec>
</sec>
<sec sec-type="discussion" id="sec12">
<title>Discussion</title>
<sec id="sec13">
<title>Dioxin exposure and neurodevelopmental disorders</title>
<p>The adjusted mean FA value in the left CGH was significantly lower in the perinatal dioxin exposure group compared with the unexposed group. The high blood TCDD group showed significantly reduced FA values in the left and right CGH and right UNC. Similarly, the high blood TEQ-PCDDs group showed significantly reduced FA values in the left and right CGH and left UNC. There were no significant differences in FA values between the groups with high and low TEQ-PCDFs levels or between the groups with high and low TEQ-PCDD/Fs levels. To the best of our knowledge, the present study is the first to report the effects of dioxin exposure on microstructural changes in white matter tracts, such as the CGH and UNC, which are involved in limbic system functions and which have been reported to be affected in individuals with neurodevelopmental disorders such as autism spectrum disorder (ASD) and ADHD.</p>
<p>In our previous epidemiological studies, we have reported the neurodevelopmental impacts of perinatal dioxin exposure indicated by dioxins in breast milk to increase ASD and/or ADHD in children from birth cohorts at various ages living in areas near former US airbases in Da Nang and Bien Hoa, Vietnam (<xref ref-type="bibr" rid="ref26">Nishijo et al., 2014</xref>; <xref ref-type="bibr" rid="ref32">Pham The et al., 2020</xref>; <xref ref-type="bibr" rid="ref31">Pham et al., 2022</xref>; <xref ref-type="bibr" rid="ref33">Pham-The et al., 2022</xref>; <xref ref-type="bibr" rid="ref44">Thao et al., 2023</xref>). Increased autistic traits indicated by higher Autism Spectrum Rating Scale (ASRS) scores and associated with higher perinatal TCDD exposure were found in 3-year-old children from Da Nang birth cohort recruited in 2008&#x2013;9, particularly in boys (<xref ref-type="bibr" rid="ref26">Nishijo et al., 2014</xref>). At 8&#x2009;years of age, significantly increased ADHD behavior, particularly hyperactivity/impulsivity, were observed in Da Nang girls exposed to higher levels of TCDD during perinatal period (<xref ref-type="bibr" rid="ref33">Pham-The et al., 2022</xref>).</p>
<p>In the areas around Bien Hoa airbase, 3-year-old girls from a Bien Hoa birth cohort recruited in 2012 showed atypical gaze behavior indicated by lower fixation density on faces (face fixation duration) in statistic pictures associated with perinatal TCDD exposure, which was inversely correlated with the scores of social communication scale, one of ASRS subscales (<xref ref-type="bibr" rid="ref31">Pham et al., 2022</xref>). Gaze behavior was also investigated in 2-year-old children in Bien Hoa recruited in 2015 when viewing dynamic social stimuli. Reduced face fixation duration was found in boys in higher TCDD exposure group compared with lower exposure group (<xref ref-type="bibr" rid="ref44">Thao et al., 2023</xref>). When they reached to 3&#x2009;years of age, higher ASRS scores indicating increased autistic traits were found in higher perinatal TCDD exposure group in both sexes (<xref ref-type="bibr" rid="ref44">Thao et al., 2023</xref>). Moreover, in the fathers of Bien Hoa children recruited in 2015, who participants in the current study, we reported significantly increased social anxiety symptoms associated with perinatal dioxin exposure (<xref ref-type="bibr" rid="ref51">Vu et al., 2023</xref>), suggesting that our subjects may have social cognitive deficits similar to ASD associated with perinatal exposure to dioxins including high levels of TCDD originating from Agent Orange from Bien Hoa airbase.</p>
<p>In the clinical DTI studies, reduced FA values in the CGH in both hemispheres were reported in individuals with ASD (<xref ref-type="bibr" rid="ref3">Bubb et al., 2018</xref>), suggesting that alteration of CGH connectivity is a frequent feature of ASD. In adolescents with ADHD, symptom severity was associated with FA values in the left CGH; however, higher FA values (hyperconnectivity) were associated with increased severity of ADHD symptoms (<xref ref-type="bibr" rid="ref6">Cooper et al., 2015</xref>). Another DTI study reported lower FA values (hypoconnectivity) correlated with attention deficit in individuals with ADHD (<xref ref-type="bibr" rid="ref5">Chiang et al., 2016</xref>). <xref ref-type="bibr" rid="ref17">Konrad and Eickhoff (2010)</xref> suggested that either hyperconnectivity or hypoconnectivity may be observed in patients with ADHD (<xref ref-type="bibr" rid="ref17">Konrad and Eickhoff, 2010</xref>).</p>
<p>Taken together, lower FA values in the CGH found in men with perinatal dioxin exposure in the current study may be associated with increased ASD or ADHD traits due to TCDD exposure during perinatal period. In addition, we found that FA values in the left and right CGH were lower in men with high TCDD and TEQ-PCDDs in blood. These results suggest that TCDD exposure during adulthood may also alter the microstructure of the CGH of adult brain, which are similar to those observed in patients with ASD and ADHD.</p>
<p>In the current study, we also found that men with higher blood TCDD levels showed lower FA values in the right UNC. Lower FA value in the left UNC associated with higher blood TEQ-PCDDs was also observed among them. A previous clinical DTI study in individuals with ASD reported significant asymmetrical changes in FA values, particularly lower FA values in the left UNC; however, their results varied greatly in the association between autism and changes in the UNC, including increased or decreased FA values, as well as in the handedness of their subjects (<xref ref-type="bibr" rid="ref27">Olson et al., 2015</xref>). Moreover, some clinical studies reported differences in the volume, length, shape, and density of the UNC in individuals with ASD. Some studies showed greater UNC volume in the left hemisphere compared with the right hemisphere in individuals with ASD (<xref ref-type="bibr" rid="ref35">Pugliese et al., 2009</xref>; <xref ref-type="bibr" rid="ref45">Thomas et al., 2011</xref>), suggesting that the UNC is a white matter tract strongly associated with ASD. Notably, the UNC continues to develop long past adolescence, reaching peak maturity around 30&#x2009;years of age (<xref ref-type="bibr" rid="ref19">Lebel et al., 2012</xref>). These findings in clinical studies suggest that the UNC is at greater risk of being influenced by dioxin exposure in adulthood. Thus, exposure during adulthood to PCDD congeners, including TCDD, might cause microstructural changes in the UNC and decrease connectivity indicated by FA values observed in men of the current study.</p>
<p>Gray matter abnormalities related to social and behavioral deficits in patients with autism are often observed in various frontal and temporal gyri, including the superior and middle temporal gyri, and in motor and executive areas of the frontal lobe, which are considered components of the autism-specific structural network (<xref ref-type="bibr" rid="ref11">Grecucci et al., 2016</xref>). Previously, we performed MRI analysis using voxel-based morphometry (VBM) and reported that perinatal dioxin exposure was associated with increased gray matter volume of the gyri in the autism-specific structural network in the same subjects as in the present study (<xref ref-type="bibr" rid="ref51">Vu et al., 2023</xref>). Significant enlargement of the temporal pole, including the anterior region of the superior temporal gyrus, which plays an important role in social behaviors (<xref ref-type="bibr" rid="ref55">Zahn et al., 2007</xref>), was also detected in men with perinatal exposure (<xref ref-type="bibr" rid="ref51">Vu et al., 2023</xref>). Whereas, reduced gray matter volume in the left inferior frontal gyrus pars orbitalis, associated with perinatal dioxin exposure, and decreased gray matter volume in the left fusiform gyrus and left medial temporal pole, as well as lower medial temporal pole volume, associated with blood dioxin levels, were found in the same men by the statistical analysis using the cluster-based false-discovery rate (FDR) for multiple comparisons (SPM12 software package) (<xref ref-type="bibr" rid="ref52">Vu et al., 2021</xref>). Taken together, these findings suggest that dioxin exposure, both perinatally and in adulthood, may influence both gray matter and white matter in the frontal and temporal lobes, which are involved in social and emotional behavior.</p>
</sec>
<sec id="sec14">
<title>Dioxin exposure and mild cognitive impairment and Alzheimer&#x2019;s disease</title>
<p><xref ref-type="bibr" rid="ref23">Martinez et al. (2021)</xref> reported a nearly 2-fold higher prevalence of dementia in veterans exposed to Agent Orange (<xref ref-type="bibr" rid="ref23">Martinez et al., 2021</xref>). Because the CGH plays important roles in memory and cognition (<xref ref-type="bibr" rid="ref8">Ezzati et al., 2016</xref>; <xref ref-type="bibr" rid="ref3">Bubb et al., 2018</xref>), white matter microstructural changes (reduced FA) in the posterior cingulate and CGH have been investigated in many studies on individuals with mild cognitive impairment (MCI) or Alzheimer&#x2019;s disease (<xref ref-type="bibr" rid="ref3">Bubb et al., 2018</xref>). The UNC plays important roles in episodic memory, language, and social emotional processing (<xref ref-type="bibr" rid="ref50">Von Der Heide et al., 2013</xref>; <xref ref-type="bibr" rid="ref27">Olson et al., 2015</xref>). Several DTI studies have compared FA values between individuals with MCI and healthy controls, and lower FA values were observed in the left or bilateral UNC in the former (<xref ref-type="bibr" rid="ref27">Olson et al., 2015</xref>). These results suggest that reduced FA values in the CGH and UNC, associated with dioxin exposure in the current study, may contribute to the increased prevalence of MCI and Alzheimer&#x2019;s disease in exposed men. Further longitudinal studies with a larger number of subjects, including elderly men, are needed to more fully elucidate the effects of dioxin exposure on the white matter, particularly the CGH and UNC, using DTI, as well as VBM analysis of gray matter regions.</p>
</sec>
<sec id="sec15">
<title>Possible mechanism of the effect of dioxin exposure on the white matter</title>
<p>Decreased FA values in the white matter are associated with demyelination, alterations of axon diameter and density, and changes in membrane permeability (<xref ref-type="bibr" rid="ref4">Chanraud et al., 2010</xref>; <xref ref-type="bibr" rid="ref14">Jones et al., 2013</xref>). Dioxins, particularly TCDD is thought to exert its biological and toxicological effects primarily by binding to the aryl hydrocarbon receptor (AhR), which is a ligand-activated transcription factor that mediate the expression of a diverse set of genes through the dioxin-responsive elements in the promoter regions of target genes (<xref ref-type="bibr" rid="ref1">Beischlag et al., 2008</xref>). Neurons in the brain mainly of the cortex, the cerebellum, the hippocampus, the olfactory bulb, the hypothalamus, and the pituitary gland are suggested as cellular targets (<xref ref-type="bibr" rid="ref15">Juricek and Coumoul, 2018</xref>) and susceptible to modulations in AhR activity, particularly in early developmental stages (<xref ref-type="bibr" rid="ref22">Martin et al., 2022</xref>).</p>
<p>The AhR, however, expressed not only in the neurons but also in glia cells such as astrocytes and microglial cells, suggesting TCDD may affect these cells in white matter of the brain as a AhR ligand. In animal studies, TCDD exposure has been reported to reduce axonal growth (<xref ref-type="bibr" rid="ref13">Iida et al., 2013</xref>), to disrupt dendritic growth in various areas of the brain, particularly the hippocampus and amygdala (<xref ref-type="bibr" rid="ref16">Kimura et al., 2015</xref>), and to affect glial cell density in the corpus callosum (<xref ref-type="bibr" rid="ref37">Reyes-Haro et al., 2013</xref>). <italic>In vitro</italic> studies, TCDD treatment disrupted communication between astrocytes and neurons of rat hippocampal culture (<xref ref-type="bibr" rid="ref21">Legare et al., 2000</xref>), suggesting that TCDD may disturb glial functions to help formation and maintenance of synapses (<xref ref-type="bibr" rid="ref28">Pfrieger, 2010</xref>) and to control of dendrite shape (<xref ref-type="bibr" rid="ref34">Procko and Shaham, 2010</xref>). In addition, TCDD was shown to inhibit astrocytic differentiation of C6 glioma cells (<xref ref-type="bibr" rid="ref42">Takanaga et al., 2004</xref>) and to stimulate proliferation of HAPI microglial cells derived from primary rat microglia-enriched cultures (<xref ref-type="bibr" rid="ref54">Xu et al., 2014</xref>).</p>
<p>TCDD exposure has also been associated with destructive and inflammatory changes triggered by the AhR and stimulated glia cells to increase inflammation cytokines (<xref ref-type="bibr" rid="ref24">Mitsui et al., 2011</xref>), resulting demyelination in the hippocampus (<xref ref-type="bibr" rid="ref38">Rosi&#x0144;czuk et al., 2015</xref>) and delayed developmental myelination in several brain regions (<xref ref-type="bibr" rid="ref9">Fern&#x00E1;ndez et al., 2010</xref>).</p>
<p>Taken together, TCDD exposure may impact on not only neurons in gray matter of brain but also glia cells in white matter which have important roles in myelination, formation and maintenance of synapses, and axonal and dendritic growth. These changes would in turn disrupt neurotransmission and compromise white matter connectivity among brain areas, particularly those involving the limbic system.</p>
</sec>
<sec id="sec16">
<title>Limitations</title>
<p>The present study has some limitations, including the small number of subjects, which prevented us from analyzing the relationships between blood dioxin exposure, clinical symptoms and FA values. Another limitation is the lack of a control group from herbicide unexposed regions. At the beginning of the study, an MRI survey was also planned for fathers of children in a control area in northern Vietnam. However, we could not find a hospital with an MRI scanner using conventional DTI sequence in Hanoi, where our unexposed birth cohort is followed. In a future study, we will conduct an MRI survey in an unsprayed area other than Hanoi and reanalyze data to compare brain regional volumes in Bien Hoa fathers and controls.</p>
<p>Although gender-specific effects of dioxin have been observed in previous studies (<xref ref-type="bibr" rid="ref30">Pham et al., 2019</xref>, <xref ref-type="bibr" rid="ref31">2022</xref>), only men were recruited in the present study. Therefore, future studies should include women to uncover any gender-associated differences in the effects of dioxins on the brain.</p>
</sec>
</sec>
<sec sec-type="conclusions" id="sec17">
<title>Conclusion</title>
<p>Estimate perinatal dioxin exposure was associated with decreased FA values in the left CGH. High dioxin exposure during adulthood, indicated by high blood dioxin levels, were associated with decreased FA values in the CGH in both hemispheres, as well as the right or left UNC. Collectively, our findings suggest that dioxin exposure during the perinatal period and/or adulthood may cause microstructural changes in white matter tracts that often show altered connectivity in individuals with neurodevelopmental disorders.</p>
</sec>
<sec sec-type="data-availability" id="sec18">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec sec-type="ethics-statement" id="sec19">
<title>Ethics statement</title>
<p>The studies involving humans were approved by The Institutional Ethics Board for medical and health research involving human subjects at Kanazawa Medical University (ES-187) and the University of Toyama (CS-26-30) approved the study design. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.</p>
</sec>
<sec sec-type="author-contributions" id="sec20">
<title>Author contributions</title>
<p>PNT: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. MN: Conceptualization, Data curation, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Visualization, Writing &#x2013; review &#x0026; editing, Writing &#x2013; original draft. PTT: Investigation, Data curation, Writing &#x2013; original draft. TY: Data curation, Formal analysis, Software, Writing &#x2013; original draft. TN: Data curation, Investigation, Writing &#x2013; original draft. VH: Investigation, Data curation, Validation, Writing &#x2013; original draft. TT: Conceptualization, Data curation, Writing &#x2013; original draft. NK: Conceptualization, Methodology, Writing &#x2013; original draft. TA: Investigation, Methodology, Writing &#x2013; original draft. YN: Conceptualization, Methodology, Supervision, Project administration, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. HN: Conceptualization, Methodology, Resources, Supervision, Visualization, Writing &#x2013; review &#x0026; editing, Formal analysis, Software, Project administration.</p>
</sec>
</body>
<back>
<sec sec-type="funding-information" id="sec21">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This work was supported partly by the Ministry of Education, Sports, Science and Culture, Japan, Grant-in-Aid for Scientific Research (17H04665 and 18K19709). These funders played no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript.</p>
</sec>
<ack>
<p>We would like to thank all fathers participating in this study and are grateful to staffs in Dong Nai Health Department, Nguyen Xuan Hung in Bien Hoa Health Center, medical staff in communes around Bien Hoa airbase, and Le Thi Phuong Tram and medical staff in the Diagnostic Imaging Department in Dong Nai general hospital and Siemen Company in Vietnam for their collaboration. We thank Barry Patel, PhD, from Edanz (<ext-link xlink:href="https://jp.edanz.com/ac" ext-link-type="uri">https://jp.edanz.com/ac</ext-link>), for editing a draft of this manuscript.</p>
</ack>
<sec sec-type="COI-statement" id="sec22">
<title>Conflict of interest</title>
<p>TY was employed by BioView Inc.</p>
<p>The remaining 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>
<p>The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.</p>
</sec>
<sec id="sec100" 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>
<fn-group><title>Abbreviations</title>
<fn fn-type="abbr"><p>MRI, Magnetic resonance imaging; DTI, Diffusion tensor imaging; FA, Fractional anisotropy; ASD, Autism spectrum disorder; ADHD, Attention deficit hyperactivity disorder; ROI, Regions of interest; CGH, Cingulum hippocampal part; UNC, Uncinate fasciculus; TCDD, 2,3,7,8-tetrachlorodibenzo-p-dioxin; TEQ, The toxic equivalent; PCDDs, Polychlorinated dibenzo-p-dioxins; PCDFs, Polychlorinated dibenzofurans; PeCDD, 1,2,3,7,8-PentaCDD; HxCDD1, 1,2,3,4,7,8-HexaCDD; HxCDD2, 1,2,3,6,7,8-HexaCDD; HxCDD3, 1,2,3,7,8,9-HexaCDD; HpCDD, 1,2,3,4,6,7,8-HeptaCDD; OCDD, OctaCDD.</p></fn>
</fn-group>
<fn-group>
<fn id="fn0001">
<p><sup>1</sup><ext-link xlink:href="https://mriquestions.com/dti-tensor-imaging.html" ext-link-type="uri">https://mriquestions.com/dti-tensor-imaging.html</ext-link>
</p>
</fn>
</fn-group>
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