A complex network-based approach to detecting and characterizing ictal states in patients with Childhood Absence Epilepsy

This paper proposes a network analysis-based approach to detecting and characterizing ictal states in patients with Childhood Absence Epilepsy. Our approach defines and uses some suitable data structures, consisting of ad-hoc complex networks and subnetworks, and a new network analysis-based parameter, called connection coefficient. The examination of the values of this parameter on the adopted data structures allows our approach to reach its objectives. Obtained results are extremely encouraging and stimulate the extension of our approach in several directions.