Document Detail

Consistency of the blind source separation computed with five common algorithms for magnetoencephalogram background activity.
MedLine Citation:
PMID:  20833095     Owner:  NLM     Status:  In-Process    
Blind source separation (BSS) is widely used to analyse brain recordings like the magnetoencephalogram (MEG). However, few studies have compared different BSS decompositions of real brain data. Those comparisons were usually limited to specific applications. Therefore, we aimed at studying the consistency (i.e., similarity) of the decompositions estimated for real MEGs from 26 subjects using five widely used BSS algorithms (AMUSE, SOBI, JADE, extended-Infomax and FastICA) for five epoch lengths (10s, 20s, 40s, 60s and 90s). A statistical criterion based on Factor Analysis was applied to calculate the number of components into which each epoch would be decomposed. Then, the BSS techniques were applied. The results indicate that the pair of algorithms 'AMUSE-SOBI', followed by 'JADE-FastICA', provided the most similar separations. On the other hand, the most dissimilar outcomes were computed with 'AMUSE-JADE' and 'SOBI-JADE'. The BSS decompositions were more similar for longer epochs. Furthermore, additional analyses of synthetic signals supported the results of the real MEGs. Thus, when selecting BSS algorithms to explore brain signals, the techniques offering the most different decompositions, such as AMUSE and JADE, may be preferred to obtain complementary, or at least different, perspectives of the underlying components.
Javier Escudero; Roberto Hornero; Daniel Abásolo
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2010-09-15
Journal Detail:
Title:  Medical engineering & physics     Volume:  32     ISSN:  1873-4030     ISO Abbreviation:  Med Eng Phys     Publication Date:  2010 Dec 
Date Detail:
Created Date:  2010-11-22     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9422753     Medline TA:  Med Eng Phys     Country:  England    
Other Details:
Languages:  eng     Pagination:  1137-44     Citation Subset:  IM    
Copyright Information:
Copyright © 2010 IPEM. Published by Elsevier Ltd. All rights reserved.
Biomedical Engineering Group, E.T.S.I. Telecomunicación, University of Valladolid, 47011, Valladolid, Spain.
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