Abnormal dynamics of EEG oscillations in schizophrenia patients on multiple time scales

Junfeng Sun, Yingying Tang, Kelvin O. Lim, Jijun Wang, Shanbao Tong, Hui Li, Bin He

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24 Scopus citations


Neuronal oscillations reflect the activity of neuronal ensembles engaged in integrative cognition, and may serve as a functional measure for the cognitive impairment in schizophrenia. This study aims to reveal the abnormal amplitude dynamics of electroencephalogram (EEG) oscillations in schizophrenia patients on multiple time scales. EEGs were recorded from schizophrenia patients (n = 19) and healthy controls (n = 16) while they were at resting state with eyes closed, at resting state with eyes open, and at watching video. Detrended fluctuation analysis and measures of life-time and waiting-time were used to characterize the abnormal dynamics of EEG oscillations on both long (1-20 s) and short (≤1 s) time scales. Abnormal dynamics of EEG oscillations in alpha and beta bands were observed. In particular, compared with healthy controls, schizophrenia patients have smaller DFA exponent (implying weaker long-range temporal correlation) in the left fronto-temporal area and smaller DFA exponent, smaller life-time (indicating shorter oscillation burst), and smaller waiting-time in the occipital area in beta band at resting state with eyes open. In addition, schizophrenia patients have larger DFA exponent, larger life-time, and larger waiting-time at some clustered channels in the temporo-parietal area in alpha band at watching video. The present results provide new insights for cognitive deficits and the underlying neuronal dysfunction in schizophrenia.

Original languageEnglish (US)
Article number6740836
Pages (from-to)1756-1764
Number of pages9
JournalIEEE Transactions on Biomedical Engineering
Issue number6
StatePublished - Jun 2014

Bibliographical note

Copyright 2016 Elsevier B.V., All rights reserved.


  • Detrended fluctuation analysis (DFA)
  • electroencephalogram (EEG)
  • life-time
  • schizophrenia
  • waiting-time


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