Early functional magnetic resonance imaging activations predict language outcome after stroke
08.03.2010
Saur D, Ronneberger O, Kümmerer D, Mader I, Weiller C, Klöppel S.
Brain. 133(Pt 4):1252-64
This study demonstrates the high potential of current machine learning techniques to predict system-specific clinical outcome even for a disease as heterogeneous as stroke. This study demonstrates the high potential of current machine learning techniques to predict system-specific clinical outcome even for a disease as heterogeneous as stroke. The new tools, developed for the analysis of spatio-temporal activation patterns from fMRI data will be applied in future for the analysis of spatio-temporal signalling patterns.
