Literature DB >> 14527607

A disturbance of nonlinear interdependence in scalp EEG of subjects with first episode schizophrenia.

M Breakspear1, J R Terry, K J Friston, A W F Harris, L M Williams, K Brown, J Brennan, E Gordon.   

Abstract

It has been proposed that schizophrenia arises through a disturbance of coupling between large-scale cortical systems. This "disconnection hypothesis" is tested by applying a measure of dynamical interdependence to scalp EEG data. EEG data were collected from 40 subjects with a first episode of schizophrenia and 40 matched healthy controls. An algorithm for the detection of dynamical interdependence was applied to six pairs of bipolar electrodes in each subject. The topographic organization of the interdependence was calculated and served as the principle measure of cortical integration. The rate of occurrence of dynamical interdependence did not statistically differ between subject groups at any of the sites. However, the topography across the scalp was significantly different between the two groups. Specifically, nonlinear interdependence tended to occur in larger concurrent "clusters" across the scalp in schizophrenia than in the healthy subjects. This disturbance was reflected most strongly in left intrahemispheric coupling and did not differ significantly according to symptomatology. Medication dose and subject arousal were not observed to be confounding factors. The study of dynamical interdependence in scalp EEG data does not support a straightforward interpretation of the disconnection hypothesis-that there is a decrease in the strength of functional coupling between adjacent cortical regions. Rather, it suggests a dysregulation in the organization of dynamical interactions across supraregional brain systems.

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Year:  2003        PMID: 14527607     DOI: 10.1016/s1053-8119(03)00332-x

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  37 in total

1.  A novel method for the topographic analysis of neural activity reveals formation and dissolution of 'Dynamic Cell Assemblies'.

Authors:  Michael Breakspear; Leanne M Williams; Cornelis J Stam
Journal:  J Comput Neurosci       Date:  2004 Jan-Feb       Impact factor: 1.621

Review 2.  "Dynamic" connectivity in neural systems: theoretical and empirical considerations.

Authors:  Michael Breakspear
Journal:  Neuroinformatics       Date:  2004

3.  Nonlinear analysis of EEG during NREM sleep reveals changes in functional connectivity due to natural aging.

Authors:  John R Terry; Clare Anderson; James A Horne
Journal:  Hum Brain Mapp       Date:  2004-10       Impact factor: 5.038

4.  Modulating functional connectivity patterns and topological functional organization of the human brain with transcranial direct current stimulation.

Authors:  Rafael Polanía; Michael A Nitsche; Walter Paulus
Journal:  Hum Brain Mapp       Date:  2010-07-06       Impact factor: 5.038

5.  Altered resting state complexity in schizophrenia.

Authors:  Danielle S Bassett; Brent G Nelson; Bryon A Mueller; Jazmin Camchong; Kelvin O Lim
Journal:  Neuroimage       Date:  2011-10-08       Impact factor: 6.556

6.  Nonlinear dynamics underlying sensory processing dysfunction in schizophrenia.

Authors:  Claudia Lainscsek; Aaron L Sampson; Robert Kim; Michael L Thomas; Karen Man; Xenia Lainscsek; Neal R Swerdlow; David L Braff; Terrence J Sejnowski; Gregory A Light
Journal:  Proc Natl Acad Sci U S A       Date:  2019-02-11       Impact factor: 11.205

7.  Small-world properties of nonlinear brain activity in schizophrenia.

Authors:  Mikail Rubinov; Stuart A Knock; Cornelis J Stam; Sifis Micheloyannis; Anthony W F Harris; Leanne M Williams; Michael Breakspear
Journal:  Hum Brain Mapp       Date:  2009-02       Impact factor: 5.038

Review 8.  Emotion and Theory of Mind in Schizophrenia-Investigating the Role of the Cerebellum.

Authors:  Omar Mothersill; Charlotte Knee-Zaska; Gary Donohoe
Journal:  Cerebellum       Date:  2016-06       Impact factor: 3.847

9.  Specific somatotopic organization of functional connections of the primary motor network during resting state.

Authors:  Martijn P van den Heuvel; Hilleke E Hulshoff Pol
Journal:  Hum Brain Mapp       Date:  2010-04       Impact factor: 5.038

Review 10.  Time domain measures of inter-channel EEG correlations: a comparison of linear, nonparametric and nonlinear measures.

Authors:  J D Bonita; L C C Ambolode; B M Rosenberg; C J Cellucci; T A A Watanabe; P E Rapp; A M Albano
Journal:  Cogn Neurodyn       Date:  2013-09-04       Impact factor: 5.082

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