<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Park G</submitter><funding>NIBIB NIH HHS</funding><funding>European Research Council</funding><funding>NIA NIH HHS</funding><funding>Wellcome Trust</funding><pagination>100942</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12949600</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>8(1)</volume><pubmed_abstract>&lt;h4>Background&lt;/h4>Stroke leads to complex chronic structural and functional brain changes that specifically affect motor outcomes. The brain predicted age difference (PAD) has emerged as a sensitive biomarker of both sensorimotor and cognitive function after stroke. Our previous study showed a higher global brain PAD associated with poorer motor function after stroke. However, the association between local stroke lesion load, regional brain age, and motor impairment is unclear. This study aimed to investigate the associations between focal lesion damage, regional brain PAD in both hemispheres, and motor outcomes in chronic stroke, and to identify key predictors of motor impairment.&lt;h4>Methods&lt;/h4>In this multicohort, retrospective, observational study, we included individuals with chronic</pubmed_abstract><journal>The Lancet. Digital health</journal><pubmed_title>Associations between contralesional neuroplasticity and motor impairment through deep learning-derived MRI regional brain age in chronic stroke (ENIGMA): a multicohort, retrospective, observational study.</pubmed_title><pmcid>PMC12949600</pmcid><funding_grant_id>759370</funding_grant_id><funding_grant_id>P41 EB015922</funding_grant_id><funding_grant_id>093957</funding_grant_id><funding_grant_id>P01 AG052350</funding_grant_id><funding_grant_id>101088715</funding_grant_id><funding_grant_id>U54 EB020406</funding_grant_id><pubmed_authors>Schweighofer N</pubmed_authors><pubmed_authors>Soekadar SR</pubmed_authors><pubmed_authors>Hanlon CA</pubmed_authors><pubmed_authors>Vecchio D</pubmed_authors><pubmed_authors>Lotze M</pubmed_authors><pubmed_authors>Khlif MS</pubmed_authors><pubmed_authors>Banaj N</pubmed_authors><pubmed_authors>Seo NJ</pubmed_authors><pubmed_authors>Park G</pubmed_authors><pubmed_authors>Geranmayeh F</pubmed_authors><pubmed_authors>Cramer SC</pubmed_authors><pubmed_authors>Hordacre B</pubmed_authors><pubmed_authors>MacIntosh BJ</pubmed_authors><pubmed_authors>Brodtmann A</pubmed_authors><pubmed_authors>Westlye LT</pubmed_authors><pubmed_authors>Wittenberg GF</pubmed_authors><pubmed_authors>Andrushko JW</pubmed_authors><pubmed_authors>Buetefisch CM</pubmed_authors><pubmed_authors>Feng W</pubmed_authors><pubmed_authors>Werden E</pubmed_authors><pubmed_authors>Ermer ER</pubmed_authors><pubmed_authors>Thompson PM</pubmed_authors><pubmed_authors>Mohamed FB</pubmed_authors><pubmed_authors>Dimyan M</pubmed_authors><pubmed_authors>Kautz SA</pubmed_authors><pubmed_authors>Nordvik JE</pubmed_authors><pubmed_authors>Borich MR</pubmed_authors><pubmed_authors>Boyd LA</pubmed_authors><pubmed_authors>Robertson AD</pubmed_authors><pubmed_authors>Liu J</pubmed_authors><pubmed_authors>Piras F</pubmed_authors><pubmed_authors>Tavenner BP</pubmed_authors><pubmed_authors>Kim H</pubmed_authors><pubmed_authors>Liew SL</pubmed_authors><pubmed_authors>Schranz C</pubmed_authors><pubmed_authors>Donnelly MR</pubmed_authors><pubmed_authors>Revill KP</pubmed_authors><pubmed_authors>Winstein CJ</pubmed_authors><pubmed_authors>Conforto AB</pubmed_authors><pubmed_authors>Thielman GT</pubmed_authors><pubmed_authors>Ferris JK</pubmed_authors><pubmed_authors>Jahanshad N</pubmed_authors><pubmed_authors>Khan MH</pubmed_authors><pubmed_authors>Egorova-Brumley N</pubmed_authors><pubmed_authors>Srivastava S</pubmed_authors><pubmed_authors>Brown TR</pubmed_authors><pubmed_authors>Yu C</pubmed_authors><pubmed_authors>Domin M</pubmed_authors><pubmed_authors>Thomopoulos SI</pubmed_authors></additional><is_claimable>false</is_claimable><name>Associations between contralesional neuroplasticity and motor impairment through deep learning-derived MRI regional brain age in chronic stroke (ENIGMA): a multicohort, retrospective, observational study.</name><description>&lt;h4>Background&lt;/h4>Stroke leads to complex chronic structural and functional brain changes that specifically affect motor outcomes. The brain predicted age difference (PAD) has emerged as a sensitive biomarker of both sensorimotor and cognitive function after stroke. Our previous study showed a higher global brain PAD associated with poorer motor function after stroke. However, the association between local stroke lesion load, regional brain age, and motor impairment is unclear. This study aimed to investigate the associations between focal lesion damage, regional brain PAD in both hemispheres, and motor outcomes in chronic stroke, and to identify key predictors of motor impairment.&lt;h4>Methods&lt;/h4>In this multicohort, retrospective, observational study, we included individuals with chronic</description><dates><release>2026-01-01T00:00:00Z</release><publication>2026 Jan</publication><modification>2026-07-16T23:24:49.613Z</modification><creation>2026-07-12T03:11:18.925Z</creation></dates><accession>S-EPMC12949600</accession><cross_references><pubmed>41577565</pubmed><doi>10.1016/j.landig.2025.100942</doi></cross_references></HashMap>