Independent Source Clustering for EEG Analysis

Abstract

Event Abstract Back to Event Independent Source Clustering for EEG Analysis Brandon Burdge1*, Scott Makeig1, Nima Bigdely1 and Julie Onton1 1 University of California, United States The adoption of Independent Component Analysis for spatial source filtering of EEG data presents the new challenge of clustering independent component processes across subjects (and/or sessions) based on their estimated spatial generator locations and one or more features of their activities across multiple subjects, conditions, and/or sessions. Clustering methods must consider the differing natures of the different component features used in the analysis -- for example, their mean time-locked ERP responses and their equivalent dipole positions. The goal is to find clustering methods that can optimally exploit the information contained in different measures while integrating them into a distance metric producing independent component clusters most consistent with all (or most) features. We consider several methods of data clustering, novel to the EEG domain, that attempt to work with these constraints, and consider the initial results of their application to 30 EEG data sets from a working memory experiment. Conference: Bernstein Symposium 2008, Munich, Germany, 8 Oct - 10 Oct, 2008. Presentation Type: Poster Presentation Topic: All Abstracts Citation: Burdge B, Makeig S, Bigdely N and Onton J (2008). Independent Source Clustering for EEG Analysis. Front. Comput. Neurosci. Conference Abstract: Bernstein Symposium 2008. doi: 10.3389/conf.neuro.10.2008.01.035 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: 13 Nov 2008; Published Online: 13 Nov 2008. * Correspondence: Brandon Burdge, University of California, San Diego, United States, bburdge@ucsd.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 Brandon Burdge Scott Makeig Nima Bigdely Julie Onton Google Brandon Burdge Scott Makeig Nima Bigdely Julie Onton Google Scholar Brandon Burdge Scott Makeig Nima Bigdely Julie Onton PubMed Brandon Burdge Scott Makeig Nima Bigdely Julie Onton 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.