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EEG-based functional networks in schizophrenia

Jalili, M ; Sharif University of Technology | 2011

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  1. Type of Document: Article
  2. DOI: 10.1016/j.compbiomed.2011.05.004
  3. Publisher: 2011
  4. Abstract:
  5. Schizophrenia is often considered as a dysconnection syndrome in which, abnormal interactions between large-scale functional brain networks result in cognitive and perceptual deficits. In this article we apply the graph theoretic measures to brain functional networks based on the resting EEGs of fourteen schizophrenic patients in comparison with those of fourteen matched control subjects. The networks were extracted from common-average-referenced EEG time-series through partial and unpartial cross-correlation methods. Unpartial correlation detects functional connectivity based on direct and/or indirect links, while partial correlation allows one to ignore indirect links. We quantified the network properties with the graph metrics, including mall-worldness, vulnerability, modularity, assortativity, and synchronizability. The schizophrenic patients showed method-specific and frequency-specific changes especially pronounced for modularity, assortativity, and synchronizability measures. However, the differences between schizophrenia patients and normal controls in terms of graph theory metrics were stronger for the unpartial correlation method
  6. Keywords:
  7. EEG ; Functional connectivity ; Graph theory ; Partial cross-correlation ; Unpartial cross-correlation ; Brain networks ; Control subject ; Cross correlation methods ; Cross correlations ; Functional network ; Graph-theoretic ; Network properties ; Normal controls ; Partial correlation ; Schizophrenia patients ; Schizophrenic patients ; Synchronizability ; Diseases ; Electroencephalography ; Network security ; Correlation methods ; Clinical article ; Controlled study ; Correlation analysis ; Electroencephalography phase synchronization ; Human ; Nerve cell network ; Priority journal ; Time series analysis ; Adult ; Brain Mapping ; Case-Control Studies ; Female ; Humans ; Male ; Models, Neurological ; Neural Pathways ; Schizophrenia ; Signal Processing, Computer-Assisted ; Statistics, Nonparametric
  8. Source: Computers in Biology and Medicine ; Volume 41, Issue 12 , 2011 , Pages 1178-1186 ; 00104825 (ISSN)
  9. URL: http://www.computersinbiologyandmedicine.com/article/S0010-4825%2811%2900094-1/abstract