Goetz, Th and Stadler, L. and Fraunhofer, G. and Tome, A. M. and Hausner, H. and Lang, E. W. (2017) A combined cICA-EEMD analysis of EEG recordings from depressed or schizophrenic patients during olfactory stimulation. JOURNAL OF NEURAL ENGINEERING, 14 (1): 016011. ISSN 1741-2560, 1741-2552
Full text not available from this repository. (Request a copy)Abstract
Objective. We propose a combination of a constrained independent component analysis (cICA) with an ensemble empirical mode decomposition (EEMD) to analyze electroencephalographic recordings from depressed or schizophrenic subjects during olfactory stimulation. Approach. EEMD serves to extract intrinsic modes (IMFs) underlying the recorded EEG time. The latter then serve as reference signals to extract the most similar underlying independent component within a constrained ICA. The extracted modes are further analyzed considering their power spectra. Main results. The analysis of the extracted modes reveals clear differences in the related power spectra between the disease characteristics of depressed and schizophrenic patients. Such differences appear in the high frequency gamma-band in the intrinsic modes, but also in much more detail in the low frequency range in the alpha-,theta- and delta-bands. Significance. The proposed method provides various means to discriminate both disease pictures in a clinical environment.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | EMPIRICAL MODE DECOMPOSITION; INDEPENDENT COMPONENT ANALYSIS; ULTRA-HIGH RISK; MAJOR DEPRESSION; MISMATCH NEGATIVITY; HILBERT SPECTRUM; QUANTITATIVE EEG; CONSTRAINED ICA; BRAIN ACTIVITY; PSYCHOSIS; constraint independent component analysis; ensemble empirical mode decomposition; independent modes; electroencephalography; depression; schizophrenia |
| Subjects: | 500 Science > 570 Life sciences 600 Technology > 610 Medical sciences Medicine |
| Divisions: | Medicine > Lehrstuhl für Psychiatrie und Psychotherapie Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 14 Dec 2018 13:01 |
| Last Modified: | 27 Feb 2019 16:18 |
| URI: | https://pred.uni-regensburg.de/id/eprint/524 |
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