{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,10]],"date-time":"2026-09-10T13:30:08Z","timestamp":1789047008506,"version":"build-2803163510"},"reference-count":43,"publisher":"Wiley","issue":"8","license":[{"start":{"date-parts":[[2026,8,15]],"date-time":"2026-08-15T00:00:00Z","timestamp":1786752000000},"content-version":"vor","delay-in-days":14,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82272583"],"award-info":[{"award-number":["82272583"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82172554"],"award-info":[{"award-number":["82172554"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82272589"],"award-info":[{"award-number":["82272589"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82302870"],"award-info":[{"award-number":["82302870"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003399","name":"Science and Technology Commission of Shanghai Municipality","doi-asserted-by":"publisher","award":["22010504200"],"award-info":[{"award-number":["22010504200"]}],"id":[{"id":"10.13039\/501100003399","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100013105","name":"Shanghai Rising-Star Program","doi-asserted-by":"publisher","award":["23QA1409200"],"award-info":[{"award-number":["23QA1409200"]}],"id":[{"id":"10.13039\/501100013105","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Brain and Behavior"],"published-print":{"date-parts":[[2026,8]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>While structural covariance analysis is adept at assessing morphometric correlations among broadly distributed brain regions, limited research has focused on alterations in structural covariance networks post\u2010stroke. This study aims to identify significant brain gray matter changes and distinct structural covariance patterns in stroke patients.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Nineteen post\u2010stroke patients (17 males, aged 50.79 \u00b1 11.98 years) and 19 healthy controls (11 males, 44.32 \u00b1 13.34 years) underwent structural magnetic resonance imaging. Source\u2010based morphometry (SBM) analysis was utilized to explore alterations in independent components representing gray matter structural networks. Between\u2010group comparisons were performed while controlling for age and gender. Structural covariance networks were constructed to explore changes in these patterns among stroke patients.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>SBM analysis identified 13 independent components (ICs). Compared to controls, post\u2010stroke patients exhibited significant alterations in gray matter in the subcortical network (IC 4, IC 8, and IC 10). Additionally, in post\u2010stroke patients, there was a reduction in structural covariance between the subcortical\u2010cerebellar networks, accompanied by an increase between the subcortical\u2010prefrontal networks.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>The present findings highlight structural abnormalities within the subcortical network and significant alterations in the structural interactions between the subcortical, cerebellar, and prefrontal networks in stroke patients. The observed findings suggest large\u2010scale anatomical reorganization following stroke and provide insight into network\u2010level neuroanatomical alterations associated with post\u2010stroke functional deficits.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/brb3.71667","type":"journal-article","created":{"date-parts":[[2026,8,15]],"date-time":"2026-08-15T16:14:47Z","timestamp":1786810487000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Exploring Gray Matter Alterations in Post\u2010Stroke Patients: A Structural Covariance Analysis"],"prefix":"10.1002","volume":"16","author":[{"given":"Juan\u2010Juan","family":"Lu","sequence":"first","affiliation":[{"name":"Department of Rehabilitation Medicine, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine Shanghai University of Traditional Chinese Medicine  Shanghai 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