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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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| Dokumentenart | Artikel | ||||||
| Titel eines Journals oder einer Zeitschrift | PLoS ONE | ||||||
| Verlag: | PUBLIC LIBRARY SCIENCE | ||||||
|---|---|---|---|---|---|---|---|
| Ort der Veröffentlichung: | SAN FRANCISCO | ||||||
| Band: | 10 | ||||||
| Nummer des Zeitschriftenheftes oder des Kapitels: | 4 | ||||||
| Seitenbereich: | S. 1-27 | ||||||
| Datum | 24 April 2015 | ||||||
| Institutionen | Biologie und Vorklinische Medizin > Institut für Biophysik und physikalische Biochemie Biologie und Vorklinische Medizin > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang | ||||||
| Identifikationsnummer |
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| Stichwörter / Keywords | INDEPENDENT COMPONENT ANALYSIS; TIME-SERIES; FMRI; COMMUNICATION; PERCEPTION; DYNAMICS; CLOSURE; FIELD; BAND; | ||||||
| Dewey-Dezimal-Klassifikation | 500 Naturwissenschaften und Mathematik > 570 Biowissenschaften, Biologie | ||||||
| Status | Veröffentlicht | ||||||
| Begutachtet | Ja, diese Version wurde begutachtet | ||||||
| An der Universität Regensburg entstanden | Ja | ||||||
| URN der UB Regensburg | urn:nbn:de:bvb:355-epub-317783 | ||||||
| Dokumenten-ID | 31778 |
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