Comparative study of linear and nonlinear computational methods for EEG high frequency oscillations analysis in epilepsy

• Grant number: 14/01587-8
• Support Opportunities: Scholarships abroad - Research Internship - Doctorate
• Effective date (Start): June 16, 2014
• Effective date (End): June 15, 2015
• Field of knowledge: Engineering - Biomedical Engineering - Medical Engineering
• Principal Investigator: Antonio Adilton Oliveira Carneiro
• Grantee: Juliano Jinzenji Duque
• Supervisor: Gregory A. Worrell
• Host Institution: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto (FFCLRP). Universidade de São Paulo (USP). Ribeirão Preto , SP, Brazil
• Research place: Mayo Clinic, Minnesota, United States
• Associated to the scholarship: 13/00922-5 - Evaluation of nonlinear analysis methods in electroencephalographic signals in the presence of High Frequency Oscillations (HFO) in patients with refractory epilepsy, BP.DR

Abstract

Epilepsy is the most common serious brain disorder worldwide, and electroencephalography (EEG ) is the most common test for diagnosing it and gathering information about seizures. Over the last decade, high frequency EEG has attracted attention of researchers due to the possibility of high frequency oscillations (HFO: above 40 Hz) are used as biomarkers of epileptogenic zones. There appears to be considerable overlap in the frequency spectrum of physiological and pathological HFO, and there are currently no established criteria for distinguishing them. Also, despite several automatic methods for detecting HFO have been proposed, it remains an area of active research. Biological signals, such as EEG, have an intrinsic nonlinear and nonstationary nature, which cannot be fully characterized by traditional linear analysis methods, but which nonlinear analysis methods may deal with. This project aims to compare the application of nonlinear methods to EEG segments, within epileptic HFO context, with traditional methods used for HFO analyses, based on time-frequency spectrum and signal energy. The nonlinear analyses which will be performed are: qSDiff analysis; Detrended Fluctuations Analysis (DFA); Multiscale Entropy (MSE); Symbolic Dynamics (SD). Intracranial EEG database acquired from patients undergoing evaluation for epilepsy surgery at Mayo Clinic in Rochester, MN, USA will be analyzed. We expect to improve the means of analysis of these promising biomarkers of epilepsy, contributing to researches in areas like identification of epileptogenic regions and prediction of seizures. (AU)

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)

KLIMES, PETR; DUQUE, JULIANO J.; BRINKMANN, BEN; VAN GOMPEL, JAMIE; STEAD, MATT; ST LOUIS, ERIK K.; HALAMEK, JOSEF; JURAK, PAVEL; WORRELL, GREGORY. The functional organization of human epileptic hippocampus. Journal of Neurophysiology, v. 115, n. 6, p. 3140-3145, JUN 1 2016. (14/01587-8)