Overview

The brain is featured by states of discharge reflecting cognitive states as well as sick states like epilepsy and multiple sclerosis. Our project consists in modeling the brain in a state of healthy rest and in the absence of cognitive activities. We were able to determine networks of connectivity between the cortical regions active in a resting state based on entropy rates as well as classifications via deep learning algorithms. The definition of networks of connectivity was obtained by using the correlation coefficients, which make it possible to define regions responsible for managing our brain in a state of rest. These results will have a fairly significant impact in cognitive studies, detection and recognition of neurological diseases.