A combined cICA-EEMD analysis of EEG recordings from depressed or schizophrenic patients during olfactory stimulation.

A combined cICA-EEMD analysis of EEG recordings from depressed or schizophrenic patients during olfactory stimulation.

J Neural Eng. 2016 Dec 19;14(1):016011

Authors: Götz T, Stadler L, Fraunhofer G, Tomé AM, Hausner H, Lang EW

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 γ-band in the intrinsic modes, but also in much more detail in the low frequency range in the α-, θ- and δ-bands.
SIGNIFICANCE: The proposed method provides various means to discriminate both disease pictures in a clinical environment.

PMID: 27991435 [PubMed - as supplied by publisher]

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