Literature DB >> 12464333

EEG in schizophrenic patients: mutual information analysis.

Sun Hee Na1, Seung-Hyun Jin, Soo Yong Kim, Byung-Joo Ham.   

Abstract

OBJECTIVE: The aim of the present study is to assess information transmission between different cortical areas in schizophrenics by estimating the average cross mutual information (A-CMI) and to characterize the dynamical property of the cortical areas of schizophrenic patients from multi-channel EEG by establishing the auto mutual information (AMI).
METHODS: We recorded the EEG from 16 electrodes in 10 schizophrenic patients and 10 age-matched normal controls. We estimated the slope of the AMI to evaluate the complexity of the EEG signal from one electrode and the A-CMI values of all 16x16 pairs of electrodes were calculated to investigate the information transmission of different cortical areas in schizophrenic patients.
RESULTS: In T5 and C3 electrodes, the schizophrenic patients had lower complexity than normal controls. The schizophrenic patients had significantly higher interhemispheric and intrahemispheric A-CMI values than the normal controls.
CONCLUSIONS: These results are consistent with previous findings that suggest left hemispheric hypotemporality and inter- and/or intra-hemispheric overconnectivity in schizophrenics. Our results of the left hemispheric hypotemporality and the increased interhemispheric information transmission in temporal lobe may support the hypothesis that the abnormal laterlization in temporal lobe are due to left temporal lobe deficit in schizophrenic patients.

Entities:  

Mesh:

Year:  2002        PMID: 12464333     DOI: 10.1016/s1388-2457(02)00197-9

Source DB:  PubMed          Journal:  Clin Neurophysiol        ISSN: 1388-2457            Impact factor:   3.708


  32 in total

1.  Transient decoupling of cortical EEGs following arousals during NREM sleep in middle-aged and elderly women.

Authors:  Pravitha Ramanand; Margaret C Bruce; Eugene N Bruce
Journal:  Int J Psychophysiol       Date:  2010-05-05       Impact factor: 2.997

2.  Complexity analysis of the cerebrospinal fluid pulse waveform during infusion studies.

Authors:  David Santamarta; Roberto Hornero; Daniel Abásolo; Milton Martínez-Madrigal; Javier Fernández; Jose García-Cosamalón
Journal:  Childs Nerv Syst       Date:  2010-08-03       Impact factor: 1.475

3.  EEG-based investigation of brain connectivity changes in psychotic patients undergoing the primitive expression form of dance therapy: a methodological pilot study.

Authors:  Errikos-Chaim Ventouras; Alexia Margariti; Paraskevi Chondraki; Ioannis Kalatzis; Nicholas-Tiberio Economou; Hara Tsekou; Thomas Paparrigopoulos; Periklis Ktonas
Journal:  Cogn Neurodyn       Date:  2014-11-14       Impact factor: 5.082

4.  Drug effect on EEG connectivity assessed by linear and nonlinear couplings.

Authors:  Joan F Alonso; Miguel A Mañanas; Sergio Romero; Dirk Hoyer; Jordi Riba; Manel J Barbanoj
Journal:  Hum Brain Mapp       Date:  2010-03       Impact factor: 5.038

5.  Complex propagation patterns characterize human cortical activity during slow-wave sleep.

Authors:  Balázs Hangya; Benedek T Tihanyi; László Entz; Dániel Fabó; Loránd Erőss; Lucia Wittner; Rita Jakus; Viktor Varga; Tamás F Freund; István Ulbert
Journal:  J Neurosci       Date:  2011-06-15       Impact factor: 6.167

6.  Stable functional networks exhibit consistent timing in the human brain.

Authors:  Julio I Chapeton; Sara K Inati; Kareem A Zaghloul
Journal:  Brain       Date:  2017-03-01       Impact factor: 13.501

7.  Antipsychotics reverse abnormal EEG complexity in drug-naive schizophrenia: a multiscale entropy analysis.

Authors:  Tetsuya Takahashi; Raymond Y Cho; Tomoyuki Mizuno; Mitsuru Kikuchi; Tetsuhito Murata; Koichi Takahashi; Yuji Wada
Journal:  Neuroimage       Date:  2010-02-10       Impact factor: 6.556

8.  Mutual information analysis of sleep EEG in detecting psycho-physiological insomnia.

Authors:  Serap Aydın; M Alper Tunga; Sinan Yetkin
Journal:  J Med Syst       Date:  2015-03-03       Impact factor: 4.460

9.  Analysis of long range dependence in the EEG signals of Alzheimer patients.

Authors:  T Nimmy John; Subha D Puthankattil; Ramshekhar Menon
Journal:  Cogn Neurodyn       Date:  2018-01-05       Impact factor: 5.082

10.  Approximate entropy and auto mutual information analysis of the electroencephalogram in Alzheimer's disease patients.

Authors:  D Abásolo; J Escudero; R Hornero; C Gómez; P Espino
Journal:  Med Biol Eng Comput       Date:  2008-09-11       Impact factor: 2.602

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.