{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,27]],"date-time":"2026-09-27T04:14:27Z","timestamp":1790482467271,"version":"4.1.0"},"reference-count":54,"publisher":"Wiley","issue":"11","license":[{"start":{"date-parts":[[2015,8,19]],"date-time":"2015-08-19T00:00:00Z","timestamp":1439942400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Human Brain Mapping"],"published-print":{"date-parts":[[2015,11]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Several neurobiological factors have been found to correlate with functional recovery after brain lesions. However, predicting the individual potential of recovery remains difficult. Here we used multivariate support vector machine (SVM) classification to explore the prognostic value of functional magnetic resonance imaging (fMRI) to predict individual motor outcome at 4\u20136 months post\u2010stroke. To this end, 21 first\u2010ever stroke patients with hand motor deficits participated in an fMRI hand motor task in the first few days post\u2010stroke. Motor impairment was quantified assessing grip force and the Action Research Arm Test. Linear SVM classifiers were trained to predict good versus poor motor outcome of unseen new patients. We found that fMRI activity acquired in the first week post\u2010stroke correctly predicted the outcome for 86% of all patients. In contrast, the concurrent assessment of motor function provided 76% accuracy with low sensitivity (&lt;60%). Furthermore, the outcome of patients with initially moderate impairment and high outcome variability could not be predicted based on motor tests. In contrast, fMRI provided 87.5% prediction accuracy in these patients. Classifications were driven by activity in ipsilesional motor areas and contralesional cerebellum. The accuracy of subacute fMRI data (two weeks post\u2010stroke), age, time post\u2010stroke, lesion volume, and location were at 50%\u2010chance\u2010level. In conclusion, multivariate decoding of fMRI data with SVM early after stroke enables a robust prediction of motor recovery. The potential for recovery is influenced by the initial dysfunction of the active motor system, particularly in those patients whose outcome cannot be predicted by behavioral tests. <jats:italic>Hum Brain Mapp 36:4553\u20134565, 2015<\/jats:italic>. \u00a9 <jats:bold>2015 Wiley Periodicals, Inc<\/jats:bold>.<\/jats:p>","DOI":"10.1002\/hbm.22936","type":"journal-article","created":{"date-parts":[[2015,9,18]],"date-time":"2015-09-18T21:22:58Z","timestamp":1442611378000},"page":"4553-4565","source":"Crossref","is-referenced-by-count":76,"title":["Individual prediction of chronic motor outcome in the acute post\u2010stroke stage: Behavioral parameters versus functional imaging"],"prefix":"10.1002","volume":"36","author":[{"given":"Anne K.","family":"Rehme","sequence":"first","affiliation":[{"name":"Department of Neurology University of Cologne Cologne Germany"},{"name":"Institute of Neuroscience and Medicine (INM\u20101, INM\u20103), Research Centre J\u00fclich J\u00fclich Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lukas J.","family":"Volz","sequence":"additional","affiliation":[{"name":"Department of Neurology University of Cologne Cologne Germany"},{"name":"Department of Psychological and Brain Sciences University of California Santa Barbara USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Delia\u2010Lisa","family":"Feis","sequence":"additional","affiliation":[{"name":"Max Planck Institute for Metabolism Research Cologne Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Simon B.","family":"Eickhoff","sequence":"additional","affiliation":[{"name":"Institute of Neuroscience and Medicine (INM\u20101, INM\u20103), Research Centre J\u00fclich J\u00fclich Germany"},{"name":"Institute of Clinical Neuroscience and Medical Psychology, Heinrich Heine University D\u00fcsseldorf Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gereon 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