Abstract
In the present study, we propose a methodological approach to assess the functional brain functional network organization underlying motor imagery after stroke. Functional brain connectvity was estimated from high density EEG recorded during motor imagery of hand movements performed with the affected and unaffected hand by a patient affected by unilateral cortical infarction. stroke. The use of a graph theoretical approach allowed the characterizatio of the connectivity pattrens and revealed that a different topological orgainization exists between the affected and unaffected movement imagination. These preliminary findings are promising for the investigation of network plasticiy during post-stroke rehabilitation.
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