Individual prediction of chronic motor outcome in the acute post-stroke stage: Behavioral parameters versus functional imaging.

ABSTRACT: 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 4-6 months post-stroke. To this end, 21 first-ever stroke patients with hand motor deficits participated in an fMRI hand motor task in the first few days post-stroke. 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-stroke corre

SUBMITTER: Rehme AK 

PROVIDER: S-EPMC4619153 | biostudies-literature | 2015 Nov

REPOSITORIES: biostudies-literature