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R.M. Dünki & G.B. Schmid, Physical Review E, 57:2115 - 2122 (1998)
Keywords
Time Series Analysis, Dimensional Analysis, Electroencephalogram (EEG),
Brain State Stability and Specificity, Schizophrenia
A biparametric approach to dimensional analysis in terms of a so-called
``unfolding dimension'' is introduced to explore the extent
to which the human EEG can be described by stable features characteristic of an
individual despite the well-known problems of intraindividual variability.
Our analysis comprises an
EEG-data set recorded from healthy individuals over a time span of 5 years.
The outcome is shown to be comparable to advanced linear methods of spectral
analysis with regard to
intraindividual specificity and stability over time.
Such linear methods have not yet proven to be specific to the EEG of different
brain states. Thus we have also investigated the specificity of our
biparametric approach by comparing the mental states
schizophrenic psychosis and remission i.e. illness versus full recovery.
A difference between EEG in
psychosis and remission became apparent within recordings taken at rest with
eyes closed and no stimulated or requested mental activity.
Hence our approach distinguishes these functional brain states
even in the absence of an active or intentional stimulus.
This sheds a different light upon
theories of schizophrenia as an information-processing disturbance of the brain.
Ruedi Duenki
Wed Oct 22 18:31:26 MET 1998