Back to Search Start Over

Gamma (30-80Hz) bicoherence distinguishes seizures in the human epileptic brain.

Authors :
Cotic M
Chinvarun Y
Guirgis M
Carlen PL
Bardakjian BL
Source :
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference [Annu Int Conf IEEE Eng Med Biol Soc] 2014; Vol. 2014, pp. 4455-8.
Publication Year :
2014

Abstract

We have applied wavelet bicoherence (BIC) analysis to human iEEG data to characterize non-linear frequency interactions in the human epileptic brain. Bicoherence changes were most prominent in the gamma (30-80 Hz) frequency band, and allowed for the differentiation between seizure and non-seizure states in all patients studied (n=3). While gamma band BIC values increased during seizure activity, this trend was only observed in a select number of electrode(s) located on the implanted patient subdural grids. Several studies have suggested that fast frequencies may play a role in the process of seizure genesis. While the small patient numbers limit the significance of our study, our results highlight the bicoherence of the gamma frequency band (30-80 Hz) as an ictal identifier, and suggest an active role of this fast frequency during seizures.

Details

Language :
English
ISSN :
2694-0604
Volume :
2014
Database :
MEDLINE
Journal :
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Publication Type :
Academic Journal
Accession number :
25570981
Full Text :
https://doi.org/10.1109/EMBC.2014.6944613