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[EEG mapping in schizophrenia and depression--a multivariate approach].

作者信息

Gallhofer B, Malle B, Körner E, Wieselmann G, Kunz S

机构信息

FB Klinische Psychopathologie, Justus-Liebig-Universität, Giessen Deutschland.

出版信息

Fortschr Neurol Psychiatr. 1991 Nov;59(11):447-52. doi: 10.1055/s-2007-1000719.

Abstract

EEG Brain Mapping offers a promising approach to study complex pattern of brain function. However, traditional usage of this method was focussed mainly on isolated details of the whole specter. The present study was, therefore, aimed at the simultaneous observation of all available parameters. Discriminant analysis was used to distinguish between 4 groups of patients suffering from either schizophrenia (acute/off drugs; improved/on drugs) or depression (acute/off drugs; improved/on drugs) and healthy volunteers, each group with n = 10. The multivariate pattern of 50 topographical spectral variables brought about correct group classification of 49 out of 50 probands. Results suggest that more complex statistical paradigms that take advantage of all available parameters add to an integrative explanation of psychophysiological mechanisms in mental illness.

摘要

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