MODEL FOR PREDICTING RECOVERY OF STROKE PATIENT

摘要

Information on lesions obtained from brain imaging data of stroke patients is applied to the dormant state of functional fMRI (fMRI) to determine the primary connection information of the entire brain area, and based on the primary connection information, the effect on lesions Disclosed is a method of predicting the degree of recovery of a stroke patient by obtaining secondary connection information corresponding to a connection lower than a predetermined criterion, and generating a recovery prediction model for the lesion based on the initial degree of disability and the secondary connection information do.