{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,15]],"date-time":"2026-10-15T16:17:09Z","timestamp":1792081029953,"version":"4.4.0"},"reference-count":63,"publisher":"Canadian Science Publishing","issue":"3","license":[{"start":{"date-parts":[[2025,6,20]],"date-time":"2025-06-20T00:00:00Z","timestamp":1750377600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.nrcresearchpress.com\/page\/about\/CorporateTextAndDataMining"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J Psychiatry Neurosci"],"published-print":{"date-parts":[[2025,6,20]]},"abstract":"<jats:sec>\n                    <jats:title>Background:<\/jats:title>\n                    <jats:p>Numerous neuroimaging studies investigating the neural substrates of obsessive\u2013compulsive disorder (OCD) have yielded inconsistent findings, and growing evidence suggests that psychiatric disorders are more accurately localized to brain networks rather than discrete brain regions. We sought to identify brain network localization in OCD.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods:<\/jats:title>\n                    <jats:p>We initially examined brain locations of structural and functional alterations among patients with OCD and healthy controls using neuroimaging studies. Employing a novel technique called functional connectivity network mapping (FCNM) and large-scale human brain connectome data, we mapped these damaged brain regions to 2 brain impairment networks in OCD.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results:<\/jats:title>\n                    <jats:p>We included 62 neuroimaging studies involving 2578 patients with OCD and 2502 healthy controls. For FCNM, we used data from 556 healthy adults. Among patients with OCD, the grey matter volume (GMV) and resting-state activity impairment networks encompassed a broad range of brain regions, primarily involving the default mode, sensorimotor, and limbic networks, as well as the bilateral middle frontal gyrus and bilateral middle temporal gyrus. Additionally, the GMV impairment network specifically involved bilateral inferior frontal gyrus.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Limitations:<\/jats:title>\n                    <jats:p>We used large-scale human brain connectome data from healthy people, rather than the samples clinically and demographically matched to the original study participants, to examine brain networks in OCD.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion:<\/jats:title>\n                    <jats:p>Our study integrated an FCNM method with large-scale human brain connectome data to map heterogeneous abnormal brain locations of OCD to structural and functional impairment networks. Our findings deepen our understanding of the neuropathological mechanisms of OCD from a network perspective and may inform future neuromodulation treatment.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1503\/jpn.240145","type":"journal-article","created":{"date-parts":[[2025,5,21]],"date-time":"2025-05-21T11:05:12Z","timestamp":1747825512000},"page":"E162-E169","source":"Crossref","is-referenced-by-count":8,"title":["Brain structural and functional impairment network localization in obsessive\u2013compulsive disorder"],"prefix":"10.1139","volume":"50","author":[{"given":"Ya","family":"Tian","sequence":"first","affiliation":[{"name":"From the Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Chengdu, China"},{"name":"the Zhengzhou Key Laboratory, Chengdu, China"},{"name":"the Henan Engineering Technology Research Center, Chengdu, China"},{"name":"the Henan Engineering Research Center, Chengdu, China"},{"name":"the Henan Key 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