Automatic Identification of Interictal Epileptiform Discharges with the Use of Complex Networks

Author(s)

Tomanik, Gustavo H. ; Betting, Luiz E. ; Campanharo, Andriana S. L. O. ; Rojas, I ; Joya, G ; Catala, A

• Document type: Journal article
• Source: ADVANCES IN COMPUTATIONAL INTELLIGENCE, IWANN 2019, PT I; v. 11506, p. 10-pg., 2019-01-01.

Abstract

The identification of Interictal Epileptiform Discharges (IEDs), which are characterized by spikes and waves in electroencephalographic (EEG) data, is highly beneficial to the automated detection and prediction of epileptic seizures. In this paper, a novel single-step approach for IEDs detection based on the complex network theory is proposed. Our main goal is to illustrate how the differences in dynamics in EEG signals from patients diagnosed with idiopathic generalized epilepsy are reflected in the topology of the corresponding networks. Based on various network metrics, namely, the strongly connected component, the shortest path length and the mean jump length, our results show that this method enables the discrimination between IEDs and free IEDs events. A decision about the presence of epileptiform activity in EEG signals was made based on the confusion matrix. An overall detection accuracy of 98.2% was achieved. (AU)

• FAPESP's process: 17/09216-7 - Predicting epileptic seizures in EEG recordings with the use of complex networks
• Grantee: Gustavo Henrique Tomanik
• Support Opportunities: Scholarships abroad - Research Internship - Scientific Initiation
• FAPESP's process: 16/17914-3 - Effect of antiepileptic drugs and of epileptiform discharges in the functional connectivity of patients with juvenile myoclonic epilepsy
• Grantee: Luiz Eduardo Gomes Garcia Betting
• Support Opportunities: Regular Research Grants
• FAPESP's process: 18/25358-9 - Use of complex networks for the automatic detection, diagnosis and classification of the Alzheimer's Disease
• Grantee: Andriana Susana Lopes de Oliveira Campanharo
• Support Opportunities: Regular Research Grants
• FAPESP's process: 18/02014-2 - The use of complex networks in the seizures prediction and in the Epileptogenic Zone location of epileptic patients
• Grantee: Gustavo Henrique Tomanik
• Support Opportunities: Scholarships in Brazil - Master