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Artificial neural network predicts inter-areal functional connectivity

Elena Pitsik, Innopolis University, Innopolis, Russia
Nikita Frolov, Innopolis University, Innopolis, Russia

Abstract

We propose an approach to detect brain functional connectivity based on feed-forward artificial neural network. In particular, we apply multilayer perceptron to ECoG data of find thalamo-cortical functional relations in the WAG/Rij rats with genetic predisposition to absence epilepsy. Proposed algorithm revealed increased functional coupling between cortical layers and thalamic nuclei during the seizure onset relative to the baseline.

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Elena Pitsik
Innopolis University
Russia

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