Predicting Language Function Post-Stroke: A Model-Based Structural Connectivity Approach
Franziska E. Hildesheim,
Anja Ophey,
Anna Zumbansen
et al.
Abstract:Background The prediction of post-stroke language function is essential for the development of individualized treatment plans based on the personal recovery potential of aphasic stroke patients. Objective To establish a framework for integrating information on connectivity disruption of the language network based on routinely collected clinical magnetic resonance (MR) images into Random Forest modeling to predict post-stroke language function. Methods Language function was assessed in 76 stroke patients from t… Show more
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