Dynamic spectral analysis findings in first episode and chronic schizophrenia.
The quantified analysis of the electroencephalogram (qEEG) has enabled the extraction of additional psychophysiological information from the raw EEG, but in turn has introduced a number of distortions. This study compared Dynamic Spectral Analysis (DSA), a novel and mathematically stringent technique for the evaluation of qEEG activity with conventional power spectral analysis in subjects with both first episode and chronic schizophrenia and matched controls. Advantages of the technique in the automated processing of data, rejection of artefact, avoidance of artefact introduced by the mathematical trans-formation of the data and the identification of irregular low frequency artefactual activity "pi" are discussed in detail. Using this method, the study has confirmed past observations of increased slow wave activity in schizophrenia, and identified a decrease in peak frequency in the alpha band in the subjects with chronic schizophrenia. The two clinical groups differed in mean peak frequency in the delta band with the first episode schizophrenia subjects having a raised mean peak frequency and the subjects with chronic schizophrenia having a lowered mean peak frequency. The results suggest continued change in the EEG with illness chronicity in schizophrenia. These changes were most evident in the frequency domain emphasizing the importance of routine measurement of mean band frequencies in qEEG studies.
Harris
Anthony
A
Brain Dynamics Centre, Westmead Hospital, Australia. aharris1@mail.usyd.edu.au
Melkonian
Dmitriy
D
Williams
Leanne
L
Gordon
Evian
E
D000293:Adolescent; D000328:Adult; D000367:Age Factors; D000465:Algorithms; D002908:Chronic Disease; D004569:Electroencephalography / Q000379:methods; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D017711:Nonlinear Dynamics; D012559:Schizophrenia / Q000145:classification / Q000503:physiopathology*; D012565:Schizophrenic Psychology; D013057:Spectrum Analysis; D013997:Time Factors