In this study, we investigated the structural plasticity of the contralesional motor network in ischemic stroke patients using diffusion magnetic resonance imaging (MRI) and explored a model that combines a MRI-based metric of contralesional network integrity and clinical data to predict functional outcome at 6 months after stroke.

A new early and automated MRI-based predictor of motor improvement after stroke

DADUCCI, Alessandro;
2012-01-01

Abstract

In this study, we investigated the structural plasticity of the contralesional motor network in ischemic stroke patients using diffusion magnetic resonance imaging (MRI) and explored a model that combines a MRI-based metric of contralesional network integrity and clinical data to predict functional outcome at 6 months after stroke.
2012
Adult; Aged; Diffusion Magnetic Resonance Imaging; Female; Humans; Male; Middle Aged; Motor Skills; Predictive Value of Tests; Recovery of Function; Stroke; Time Factors; Automation, Laboratory
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11562/965811
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