Delayed Mutual Information to Develop Functional Analysis on Epileptic Signals

Victor Hugo Batista Tsukahara, Pedro Virgilio Basilio Jeronymo, Jasiara Carla de Oliveira, Vinicius Rosa Cota, Carlos Dias Maciel

2020

Abstract

Epilepsy is the second most prevalent brain disorder affecting approximately 70 million people worldwide. A modern approach to develop the brain study is to model it as a system of systems, represented by a network of oscillators, in which the emergent property of synchronisation occurs. Based on this perspective, epileptic seizures can be understood as a process of hyper-synchronisation between brain areas. To investigate such process, a case study was conducted applying Delayed Mutual Information (DMI) to perform functional connectivity analysis, investigating the channel capacity (C) and transmission rate (R) between brain areas — cortex, hippocampus and thalamus — during basal and infusion intervals, before the beginning of generalised tonic-clonic behaviour (TCG). The main contribution of this paper is the study of channel capacity and transmission rate between brain areas. A case study performed using 5 LFP signals from rodents showed that the applied methodology represents an another appropriate alternative to existing methods for functional analysis such as Granger Causality, Partial Directed Coherence, Transfer Entropy, providing insights on epileptic brain communication.

Paper Citation

in Harvard Style

Tsukahara V., Jeronymo P., Carla de Oliveira J., Cota V. and Maciel C. (2020). Delayed Mutual Information to Develop Functional Analysis on Epileptic Signals. In Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - Volume 4: BIOSIGNALS; ISBN 978-989-758-398-8, SciTePress, pages 89-97. DOI: 10.5220/0008974900890097

in Bibtex Style

@conference{biosignals20,
author={Victor Hugo Batista Tsukahara and Pedro Virgilio Basilio Jeronymo and Jasiara Carla de Oliveira and Vinicius Rosa Cota and Carlos Dias Maciel},
title={Delayed Mutual Information to Develop Functional Analysis on Epileptic Signals},
booktitle={Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - Volume 4: BIOSIGNALS},
year={2020},
pages={89-97},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008974900890097},
isbn={978-989-758-398-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - Volume 4: BIOSIGNALS
TI - Delayed Mutual Information to Develop Functional Analysis on Epileptic Signals
SN - 978-989-758-398-8
AU - Tsukahara V.
AU - Jeronymo P.
AU - Carla de Oliveira J.
AU - Cota V.
AU - Maciel C.
PY - 2020
SP - 89
EP - 97
DO - 10.5220/0008974900890097
PB - SciTePress