{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,17]],"date-time":"2026-08-17T14:45:32Z","timestamp":1786977932086,"version":"build-2736575974"},"reference-count":74,"publisher":"Wiley","issue":"2","license":[{"start":{"date-parts":[[2022,9,13]],"date-time":"2022-09-13T00:00:00Z","timestamp":1663027200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000135","name":"NIH Blueprint for Neuroscience Research","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000135","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Human Brain Mapping"],"published-print":{"date-parts":[[2023,2]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>\n                    Assessment of regional language lateralization is crucial in many scenarios, but not all populations are suited for its evaluation via task\u2010functional magnetic resonance imaging (fMRI). In this study, the utility of structural connectome features for the classification of language lateralization in the anterior temporal lobes (ATLs) was investigated. Laterality indices for semantic processing in the ATL were computed from task\u2010fMRI in 1038 subjects from the Human Connectome Project who were labeled as stronger rightward lateralized (RL) or stronger leftward to bilaterally lateralized (LL) in a data\u2010driven approach. Data of unrelated subjects (\n                    <jats:italic>n<\/jats:italic>\n                    \u00a0=\u2009432) were used for further analyses. Structural connectomes were generated from diffusion\u2010MRI tractography, and graph theoretical metrics (node degree, betweenness centrality) were computed. A neural network (NN) and a random forest (RF) classifier were trained on these metrics to classify subjects as RL or LL. After classification, comparisons of network measures were conducted via permutation testing. Degree\u2010based classifiers produced significant above\u2010chance predictions both during cross\u2010validation (NN: AUC\u2013ROC[CI]\u00a0=\u00a00.68[0.64\u20130.73], accuracy[CI]\u00a0=\u00a068.34%[63\u201373.2%]; RF: AUC\u2013ROC[CI]\u00a0=\u00a00.7[0.66\u20130.73], accuracy[CI]\u00a0=\u00a064.81%[60.9\u201368.5]) and testing (NN: AUC\u2013ROC[CI]\u00a0=\u00a00.69[0.53\u20130.84], accuracy[CI]\u00a0=\u00a068.09[53.2\u201380.9]; RF: AUC\u2013ROC[CI]\u00a0=\u00a00.68[0.53\u20130.84], accuracy[CI]\u00a0=\u00a068.09[55.3\u201380.9]). Comparison of network metrics revealed small effects of increased node degree within the right posterior middle temporal gyrus (pMTG) in subjects with RL, while degree was decreased in the right posterior cingulate cortex (PCC). Above\u2010chance predictions of functional language lateralization in the ATL are possible based on diffusion\u2010MRI connectomes alone. Increased degree within the right pMTG as a right\u2010sided homologue of a known semantic hub, and decreased hubness of the right PCC may form a structural basis for rightward\u2010lateralized semantic processing.\n                  <\/jats:p>","DOI":"10.1002\/hbm.26074","type":"journal-article","created":{"date-parts":[[2022,9,13]],"date-time":"2022-09-13T08:15:11Z","timestamp":1663056911000},"page":"496-508","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Diffusion magnetic resonance imaging connectome features are predictive of functional lateralization of semantic processing in the anterior temporal lobes"],"prefix":"10.1002","volume":"44","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0366-6724","authenticated-orcid":false,"given":"Felix","family":"Zahnert","sequence":"first","affiliation":[{"name":"Epilepsy Center Hesse, Department for Neurology University Hospital Marburg, Philipps University Marburg  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