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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 und Hammwöhner, Rainer (2015) Ensemble Empirical Mode Decomposition Analysis of EEG Data Collected during a Contour Integration Task. PLoS ONE 10 (4), S. 1-27.

Veröffentlichungsdatum dieses Volltextes: 06 Mai 2015 09:08
Artikel
DOI zum Zitieren dieses Dokuments: 10.5283/epub.31778


Zusammenfassung

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

DokumentenartArtikel
Titel eines Journals oder einer ZeitschriftPLoS ONE
Verlag:PUBLIC LIBRARY SCIENCE
Ort der Veröffentlichung:SAN FRANCISCO
Band:10
Nummer des Zeitschriftenheftes oder des Kapitels:4
Seitenbereich:S. 1-27
Datum24 April 2015
InstitutionenBiologie und Vorklinische Medizin > Institut für Biophysik und physikalische Biochemie
Biologie und Vorklinische Medizin > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang
Identifikationsnummer
WertTyp
10.1371/journal.pone.0119489DOI
Article ID e0119489Andere
Stichwörter / KeywordsINDEPENDENT COMPONENT ANALYSIS; TIME-SERIES; FMRI; COMMUNICATION; PERCEPTION; DYNAMICS; CLOSURE; FIELD; BAND;
Dewey-Dezimal-Klassifikation500 Naturwissenschaften und Mathematik > 570 Biowissenschaften, Biologie
StatusVeröffentlicht
BegutachtetJa, diese Version wurde begutachtet
An der Universität Regensburg entstandenJa
URN der UB Regensburgurn:nbn:de:bvb:355-epub-317783
Dokumenten-ID31778

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