Al-Subari, Karema and Al-Baddai, Saad and Tome, Ana Maria and Volberg, Gregor and Hammwoehner, Rainer and Lang, Elmar W. (2015) Ensemble Empirical Mode Decomposition Analysis of EEG Data Collected during a Contour Integration Task. PLOS ONE, 10 (4): e0119489. ISSN 1932-6203,
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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.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | INDEPENDENT COMPONENT ANALYSIS; TIME-SERIES; FMRI; COMMUNICATION; PERCEPTION; DYNAMICS; CLOSURE; FIELD; BAND; |
| Subjects: | 500 Science > 570 Life sciences |
| Divisions: | Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 22 Jul 2019 08:43 |
| Last Modified: | 22 Jul 2019 08:43 |
| URI: | https://pred.uni-regensburg.de/id/eprint/5625 |
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