Article

Dynamic connectivity predicts acute motor impairment and recovery post-stroke

2020-09-27

Abstract excerpt

<h4>Objective</h4> Thorough assessment of cerebral dysfunction after acute brain lesions is paramount to optimize predicting short- and long-term clinical outcomes. The potential of dynamic resting-state connectivity for prognosticating motor recovery has not been explored so far. <h4>Methods</h4> We built random forest classifier-based prediction models of acute upper limb motor impairment and recovery after stro...

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Literature Corpus work: 3b43f86a-cd33-56f4-abdb-85f5d9e6e5a5
DOI: 10.1101/2020.09.25.20200881

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