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Diagnostic utility of quantitative EEG in un-medicated schizophrenia

Authors
Kim, Jun WonLee, Young SikHan, Doug HyunMin, Kyung JoonLee, JaewonLee, Kounseok
Issue Date
Mar-2015
Publisher
ELSEVIER IRELAND LTD
Keywords
Quantitative electroencephalography; Spectral analysis; Un-medicated schizophrenia; Discrimination ability
Citation
NEUROSCIENCE LETTERS, v.589, pp 126 - 131
Pages
6
Journal Title
NEUROSCIENCE LETTERS
Volume
589
Start Page
126
End Page
131
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/9764
DOI
10.1016/j.neulet.2014.12.064
ISSN
0304-3940
1872-7972
Abstract
The aim of the current study was to evaluate the quantitative electroencephalography (QEEG) characteristics of patients with un-medicated schizophrenia (SPR) and to investigate the diagnostic utility of QEEG in assessing such patients during resting conditions. The subjects included 90 patients with schizophrenia and 90 normal controls. Spectral analysis was performed on the absolute power of all of the electrodes across five frequency bands following artifact removal. We conducted a repeated-measures ANOVA to examine group differences within the five frequency bands across several brain regions and receiver operator characteristic (ROC) analyses to examine the discrimination ability of each frequency band. Compared with controls, patients with schizophrenia showed increased delta and theta activity and decreased alpha 2 activity, particularly in the frontocentral area. There were no significant differences in the alpha 1 and beta activity. The ROC analysis performed on the delta frequency band generated the best result, with an overall classification accuracy of 62.2%. The results of this study confirmed the characteristics of the QEEG power in un-medicated schizophrenia patients compared with normal controls. These findings suggest that a resting EEG test can be a supportive tool for evaluating patients with schizophrenia. (C) 2015 Elsevier Ireland Ltd. All rights reserved.
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Min, Kyung Joon
의과대학 (의학부(임상-서울))
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