Stochastic behavior of cross-frequency coupling decreases in epileptogenic areas as measured with 256 channel scalp EEG recordings

Event Abstract Back to Event Stochastic behavior of cross-frequency coupling decreases in epileptogenic areas as measured with 256 channel scalp EEG recordings Ceon Ramon1* and Mark Holmes2 1 University of Washington and Reykjavik University, United States 2 University of Washington, United States Recently [1] we have shown that the stochastic behavior of phase synchronization index (SI) derived from 256 channel scalp EEG data can localize the epileptic sites in human subjects. This was achieved by use of one minute long epileptiform-free interictal scalp EEG data. The stochastic behavior was higher at the locations of the epileptic sites. This stochastic behavior is computed with detrended fluctuation analysis and is often called Long Range Temporal Correlations (LRTC). The cross-frequency coupling behavior of the brain is a powerful tool and possibly can be used to predict the onset of epilepsy. Motivated by this, we examined the cross-frequency coupling behavior in the LRTC of SI measured from the scalp EEG data. The cross-frequency couplings for theta-gamma and alpha-gamma bands were computed and after that the SI was computed. The SI between a pair of channel was inferred from a statistical tendency to maintain a nearly constant phase difference over a given period of time even though the analytic phase of each channel may change markedly during that time frame. The SI for each electrode was averaged over with the nearby six electrodes. The LRTC of the SI was computed and spatial plots were made using a montage layout of the scalp electrodes. The plots show that the LRTC of the phase coupling in theta-gamma and in alpha-gamma bands decreased substantially in the seizure onset areas as compared with the nearby areas. The seizure onset areas were previously determined from 64 electrode invasive brain surface EEG recordings during presurgical planning. The spatial patterns in the seizure onset areas exhibit a complex combination of dipolar and quadrupolar activity. References 1. Ramon C, Holmes MD, Freeman WJ, McElroy R, Rezvanian E. (2008) Comparative analysis of temporal dynamics of EEG and phase synchronization of EEG to localize epileptic sites from high density scalp EEG interictal recordings. Conf Proc IEEE Eng Med Biol Soc. 2008; 2008:4548-50. Conference: Biomag 2010 - 17th International Conference on Biomagnetism , Dubrovnik, Croatia, 28 Mar - 1 Apr, 2010. Presentation Type: Poster Presentation Topic: Epilepsy Citation: Ramon C and Holmes M (2010). Stochastic behavior of cross-frequency coupling decreases in epileptogenic areas as measured with 256 channel scalp EEG recordings. Front. Neurosci. Conference Abstract: Biomag 2010 - 17th International Conference on Biomagnetism . doi: 10.3389/conf.fnins.2010.06.00372 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 08 Apr 2010; Published Online: 08 Apr 2010. * Correspondence: Ceon Ramon, University of Washington and Reykjavik University, Washington, United States, ceon@uw.edu Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Ceon Ramon Mark Holmes Google Ceon Ramon Mark Holmes Google Scholar Ceon Ramon Mark Holmes PubMed Ceon Ramon Mark Holmes Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.

Topic: Neural dynamics and brain function
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences