The use of complex networks in the seizures prediction and in the Epileptogenic Zone location of epileptic patients

• Grant number: 18/02014-2
• Support Opportunities: Scholarships in Brazil - Master
• Start date: November 01, 2018
• End date: February 29, 2020
• Field of knowledge: Engineering - Biomedical Engineering
• Agreement: Coordination of Improvement of Higher Education Personnel (CAPES)
• Principal Investigator: Andriana Susana Lopes de Oliveira Campanharo
• Grantee: Gustavo Henrique Tomanik
• Host Institution: Instituto de Biociências (IBB). Universidade Estadual Paulista (UNESP). Campus de Botucatu. Botucatu , SP, Brazil
• Associated scholarship(s): 19/07469-0 - Automatic detection of the epileptogenic zone from EEG signals with the use of complex networks, BE.EP.MS

Abstract

Epilepsy is defined as a disorder of the brain characterized by a pre-disposition of producing convulsions. Such convulsions are poorly controlled in more than 30% of epilepsy patients, and medical intervention is often required. In most cases, the alternative is to remove the epileptogenic zone of the epileptic patient, that is, the neuronal region responsible for epileptic seizures. Because it is an invasive and aggressive method, the seizures prediction and the detection of epileptogenic zone by non-invasive techniques have been proposed in the literature. Since in most cases the results remain non convergent and/or inconclusive, it is necessary to propose new methods of treatment of this disorder. The extra and intracranial neuronal activities of healthy and unhealthy individuals can be obtained by the ElectroEncephalography technique. This technique consists of a graphical recording of the electrical currents developed in the brain, obtained through electrodes applied to the scalp. Recently, Campanharo et al. proposed a mapping that allows the study of the time series dynamics with the use of the network topological properties. In this research project, it is proposed a non-invasive EEG data analysis technique based on this mapping for seizures prediction and detection of the epileptogenic zone in epileptic patients.

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

TOMANIK, GUSTAVO H.; BETTING, LUIZ E.; CAMPANHARO, ANDRIANA S. L. O.; ROJAS, I; JOYA, G; CATALA, A. Automatic Identification of Interictal Epileptiform Discharges with the Use of Complex Networks. ADVANCES IN COMPUTATIONAL INTELLIGENCE, IWANN 2019, PT I, v. 11506, p. 10-pg., 2019-01-01. (17/09216-7, 16/17914-3, 18/25358-9, 18/02014-2)

Academic Publications

(References retrieved automatically from State of São Paulo Research Institutions)

TOMANIK, Gustavo Henrique. Use of complex networks in the detection of epileptic seizures and in the location of the epileptogenic zone in patients with epilepsy. 2020. Master's Dissertation - Universidade Estadual Paulista (Unesp). Instituto de Biociências. Botucatu Botucatu.