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This study employed free water corrected diffusion magnetic resonance imaging (fwc\u2010\n                    <jats:styled-content style=\"fixed-case\">dMRI<\/jats:styled-content>\n                    ) to investigate\n                    <jats:styled-content style=\"fixed-case\">CC<\/jats:styled-content>\n                    subregion\u2010specific microstructural alterations in preschool children with\n                    <jats:styled-content style=\"fixed-case\">ASD<\/jats:styled-content>\n                    , which mitigates partial volume effects from extracellular free water.\n                    <jats:bold>S<\/jats:bold>\n                    ixty\u2010one\n                    <jats:styled-content style=\"fixed-case\">ASD<\/jats:styled-content>\n                    children (6.03\u2009\u00b1\u20091.08\u2009years) and 62 typically developing (\n                    <jats:styled-content style=\"fixed-case\">TD<\/jats:styled-content>\n                    ) controls (6.49\u2009\u00b1\u20091.45\u2009years) were enrolled in this study. In the\n                    <jats:styled-content style=\"fixed-case\">ASD<\/jats:styled-content>\n                    group, the symptom severity was assessed by the Autism Behavior Checklist (\n                    <jats:styled-content style=\"fixed-case\">ABC<\/jats:styled-content>\n                    ). Fwc\u2010\n                    <jats:styled-content style=\"fixed-case\">dMRI<\/jats:styled-content>\n                    technique, a bi\u2010tensor tractography method, was used to investigate the white matter microstructure, which models free water and brain tissues through isotropic and anisotropic tensors to eliminate the partial volume effects caused by extracellular free water. The\n                    <jats:styled-content style=\"fixed-case\">CC<\/jats:styled-content>\n                    was segmented into seven subregions automatically according to its alignment to the cortex by a robust machine learning approach based on an anatomically curated white matter atlas. Fwc\u2010\n                    <jats:styled-content style=\"fixed-case\">dMRI<\/jats:styled-content>\n                    \u2010derived metrics were extracted for each\n                    <jats:styled-content style=\"fixed-case\">CC<\/jats:styled-content>\n                    subregion. Then we compared diffusion metrics between the two groups, and the correlation between the fractional anisotropy tissue (\n                    <jats:styled-content style=\"fixed-case\">\n                      FA\n                      <jats:sub>t<\/jats:sub>\n                    <\/jats:styled-content>\n                    ) and the scores of the\n                    <jats:styled-content style=\"fixed-case\">ABC<\/jats:styled-content>\n                    scale was analyzed in\n                    <jats:styled-content style=\"fixed-case\">ASD<\/jats:styled-content>\n                    .\n                    <jats:bold>S<\/jats:bold>\n                    ignificant group differences were localized to\n                    <jats:styled-content style=\"fixed-case\">CC6<\/jats:styled-content>\n                    (temporal lobe projections), showing reduced\n                    <jats:styled-content style=\"fixed-case\">\n                      FA\n                      <jats:sub>t<\/jats:sub>\n                    <\/jats:styled-content>\n                    (\n                    <jats:italic>t<\/jats:italic>\n                    \u2009=\u2009\u22123.251,\n                    <jats:italic>p<\/jats:italic>\n                    \u2009&lt;\u20090.01) and elevated radial diffusivity tissue (\n                    <jats:italic>t<\/jats:italic>\n                    \u2009=\u20093.632,\n                    <jats:italic>p<\/jats:italic>\n                    \u2009&lt;\u20090.01), and\n                    <jats:styled-content style=\"fixed-case\">CC1<\/jats:styled-content>\n                    (orbital lobe projections), exhibiting decreased free water (\n                    <jats:italic>t<\/jats:italic>\n                    \u2009=\u2009\u22123.068,\n                    <jats:italic>p<\/jats:italic>\n                    \u2009&lt;\u20090.05).\n                    <jats:styled-content style=\"fixed-case\">\n                      FA\n                      <jats:sub>t<\/jats:sub>\n                    <\/jats:styled-content>\n                    in\n                    <jats:styled-content style=\"fixed-case\">CC2\u2013<\/jats:styled-content>\n                    5 negatively correlated with\n                    <jats:styled-content style=\"fixed-case\">ABC<\/jats:styled-content>\n                    scores (\n                    <jats:italic>r<\/jats:italic>\n                    \u2009=\u2009\u22120.36 to \u22120.52,\n                    <jats:italic>p<\/jats:italic>\n                    \u2009&lt;\u20090.01), linking frontoparietal connectivity to the symptom severity of\n                    <jats:styled-content style=\"fixed-case\">ASD<\/jats:styled-content>\n                    . Fwc\u2010\n                    <jats:styled-content style=\"fixed-case\">dMRI<\/jats:styled-content>\n                    identified distinct microstructural disruptions in\n                    <jats:styled-content style=\"fixed-case\">CC<\/jats:styled-content>\n                    subregions, implicating dysmyelination in temporal pathways (\n                    <jats:styled-content style=\"fixed-case\">CC6<\/jats:styled-content>\n                    ) and abnormal axonal development in frontal projections (\n                    <jats:styled-content style=\"fixed-case\">CC1<\/jats:styled-content>\n                    ). These findings highlight fwc\u2010\n                    <jats:styled-content style=\"fixed-case\">dMRI<\/jats:styled-content>\n                    's potential for early\n                    <jats:styled-content style=\"fixed-case\">ASD<\/jats:styled-content>\n                    diagnosis and intervention monitoring.\n                  <\/jats:p>","DOI":"10.1002\/hbm.70435","type":"journal-article","created":{"date-parts":[[2025,12,19]],"date-time":"2025-12-19T05:23:16Z","timestamp":1766121796000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Free Water Corrected Diffusion Magnetic Resonance Imaging Reveals Microstructural Alterations in Corpus Callosum Subregions of Preschool Children With Autism"],"prefix":"10.1002","volume":"46","author":[{"given":"Doudou","family":"Cao","sequence":"first","affiliation":[{"name":"Department of Radiology, First Medical Center Chinese PLA General Hospital (PLA Medical School)  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