Skip navigation

Electrophysiological modeling in generalized epilepsy using surface EEG and anatomical brain structures

Electrophysiological modeling in generalized epilepsy using surface EEG and anatomical brain structures

Tran, Q., Le, T., Le, C. H. and Vo, T. V. (2017) Electrophysiological modeling in generalized epilepsy using surface EEG and anatomical brain structures. In: 6th International Conference on the Development of Biomedical Engineering in Vietnam (BME6). IFMBE Proceedings, 63 . Springer Nature Singapore Pte Ltd, pp. 699-704. ISBN 978-981-10-4360-4 ISSN 1680-0737 (doi:10.1007/978-981-10-4361-1_120)

[img]
Preview
PDF (Author Accepted Manuscript)
17479 LE_Electrophysiological_Modeling_2016.pdf - Accepted Version

Download (832kB) | Preview

Abstract

Deep brain structures involve significantly in the pathology of brain diseases such as epilepsy, Alzheimer, and Parkinson. Physiological brain modeling has become an emerging approach to investigate the coupling dynamics of the brain activity ofthese diseases. We propose a method using the surface EEG signals integrated with the anatomical individual brain to build the electrophysiological model of the epileptic patient’s brain. The EEG-driven model is used to investigate the deep brain activities of 23 patients diagnosed with generalized epilepsy from CHB-MIT Scalp EEG Database. Significant changes in the electrical activities in hippocampus, accumbens, amygdala, provide us insights into the dynamics ofactive brain regions during epilepsy. All of these brain regions show the significant energy variation defined by 5 features (Mean, Max, Min, Standard deviation, Power spectral density) with the p-value < 0.05 in both pre-ictal vs ictal and ictal vs post-ictal. Such result shows the potential of using EEG as a tool to capture the deep brain activity of epilepsy and other diseases that alter deep brain structures. The proposed model may be used to enhance the sensitivity of detecting and predicting epilepsy, detect the progression of the brain lesion, and support the decision-making for a brain medical intervention.

Item Type: Conference Proceedings
Title of Proceedings: 6th International Conference on the Development of Biomedical Engineering in Vietnam (BME6)
Additional Information: Presented at the 6th International Conference on the Development of Biomedical Engineering, Ho Chi Minh City, Vietnam, June 27-29 2016
Uncontrolled Keywords: Electrophysiological model; Generalized epilepsy; Deep brain structures; Deep brain activity
Subjects: B Philosophy. Psychology. Religion > BF Psychology
T Technology > T Technology (General)
Faculty / Department / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > Department of Applied Engineering & Management
Related URLs:
Last Modified: 26 Sep 2017 13:36
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/17479

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics