A study on validity of cortical alpha connectivity for schizophrenia

Peng, H. and Hu, B. and Li, L. and Ratcliffe, M. and Zhai, J. and Zhao, Q. and Shi, Q. and Li, Y. and Liu, Q. (2013) A study on validity of cortical alpha connectivity for schizophrenia. In: 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013, 3 July 2013 through 7 July 2013, Osaka; Japan.

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Abnormalities in schizophrenia are thought to be associated with functional disconnections between different brain regions. Most previous studies on schizophrenia have considered high-band connectivity in preference to the Alpha band, as there has been some uncertainty correlating the latter to the condition. In this paper we attempt to clarify this correlation using an Electroencephalogram (EEG) analysis of the Alpha band from schizophrenic patients. Global, regional Omega and dimensional complexity and local Omega complexity differentials (LCD) of single channel are calculated using 16 channels of resting EEG data from 31 adult patients with schizophrenia and 31 age/sex matched control subjects. It was found that, compared to the controls, anterior alpha Omega and dimensional complexity are higher in schizophrenia patients (p<0.05) with the single channel LCD also increasing at FP1, FP2, F7 and F8 electrodes. Furthermore, higher left hemisphere dimensional complexity and LCD at T3 point was also found. The results suggest there is lower connectivity in the pre-frontal and left temporal regions with respect to the alpha band in schizophrenia patients. © 2013 IEEE.

Item Type: Conference or Workshop Item (Paper)
Identification Number: https://doi.org/10.1109/EMBC.2013.6610243
Date: 2013
Uncontrolled Keywords: Adult patients, Dimensional complexity, Electro-encephalogram (EEG), Left hemisphere, Matched controls, Schizophrenia patients, Schizophrenic patients, Single channels, Brain, Electroencephalography, Diseases
Subjects: CAH10 - engineering and technology > CAH10-01 - engineering > CAH10-01-10 - others in engineering
Divisions: REF UoA Output Collections > REF2021 UoA11: Computer Science and Informatics
Faculty of Computing, Engineering and the Built Environment
Faculty of Computing, Engineering and the Built Environment > School of Computing and Digital Technology
Depositing User: Hussen Farooq
Date Deposited: 04 Aug 2016 12:54
Last Modified: 10 Sep 2021 10:56
URI: http://bcu-test.eprints-hosting.org/id/eprint/2584

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