New tool may help predict patients’ motor function recovery after stroke

Graph theoretical analysis is proving to be helpful in understanding complex networks in the brain. Investigators in the Republic of Korea used a graph theoretical approach in examining the changes in the configuration of the two hemispheres of the brain in 12 patients after stroke. They found it helped understand the dynamic reorganization of both hemispheric networks in the brain and to predict recovery of motor function. Their findings are published in Restorative Neurology and Neuroscience. Graph theoretical analysis is a powerful new tool for characterizing functional neural networks that is being used to improve understanding of neurological disorders such as Alzheimer’s disease, schizophrenia, epilepsy, and traumatic brain injury. “The physiological effects of neurological disorders are best assessed over an entire network, rather than just being locally assessed at the…


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