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Lang, Elmar ; Al-Subari, Karema ; Al-Baddai, Saad ; Tomé, Ana Maria ; Volberg, Gregor ; Hammwöhner, Rainer

Ensemble Empirical Mode Decomposition Analysis of EEG Data Collected during a Contour Integration Task

Lang, Elmar, Al-Subari, Karema, Al-Baddai, Saad , Tomé, Ana Maria , Volberg, Gregor and Hammwöhner, Rainer (2015) Ensemble Empirical Mode Decomposition Analysis of EEG Data Collected during a Contour Integration Task. PLoS ONE 10 (4), pp. 1-27.

Date of publication of this fulltext: 06 May 2015 09:08
Article
DOI to cite this document: 10.5283/epub.31778


Abstract

We discuss a data-driven analysis of EEG data recorded during a combined EEG/fMRI study of visual processing during a contour integration task. The analysis is based on an ensemble empirical mode decomposition (EEMD) and discusses characteristic features of event related modes (ERMs) resulting from the decomposition. We identify clear differences in certain ERMs in response to contour vs ...

We discuss a data-driven analysis of EEG data recorded during a combined EEG/fMRI study of visual processing during a contour integration task. The analysis is based on an ensemble empirical mode decomposition (EEMD) and discusses characteristic features of event related modes (ERMs) resulting from the decomposition. We identify clear differences in certain ERMs in response to contour vs noncontour Gabor stimuli mainly for response amplitudes peaking around 100 [ms] (called P100) and 200 [ms] (called N200) after stimulus onset, respectively. We observe early P100 and N200 responses at electrodes located in the occipital area of the brain, while late P100 and N200 responses appear at electrodes located in frontal brain areas. Signals at electrodes in central brain areas show bimodal early/late response signatures in certain ERMs. Head topographies clearly localize statistically significant response differences to both stimulus conditions. Our findings provide an independent proof of recent models which suggest that contour integration depends on distributed network activity within the brain.



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Details

Item typeArticle
Journal or Publication TitlePLoS ONE
Publisher:PUBLIC LIBRARY SCIENCE
Place of Publication:SAN FRANCISCO
Volume:10
Number of Issue or Book Chapter:4
Page Range:pp. 1-27
Date24 April 2015
InstitutionsBiology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie
Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang
Identification Number
ValueType
10.1371/journal.pone.0119489DOI
Article ID e0119489Other
KeywordsINDEPENDENT COMPONENT ANALYSIS; TIME-SERIES; FMRI; COMMUNICATION; PERCEPTION; DYNAMICS; CLOSURE; FIELD; BAND;
Dewey Decimal Classification500 Science > 570 Life sciences
StatusPublished
RefereedYes, this version has been refereed
Created at the University of RegensburgYes
URN of the UB Regensburgurn:nbn:de:bvb:355-epub-317783
Item ID31778

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