Literature DB >> 24389056

Resting-state connectivity in the prodromal phase of schizophrenia: insights from EEG microstates.

Christina Andreou1, Pascal L Faber2, Gregor Leicht3, Daniel Schoettle3, Nenad Polomac3, Ileana L Hanganu-Opatz4, Dietrich Lehmann2, Christoph Mulert3.   

Abstract

INTRODUCTION: Resting-state EEG microstates are thought to reflect the momentary local states and interactions of distributed neural networks in the brain. Several changes in resting-state EEG microstates have been described in acutely ill patients with schizophrenia, but it is not known whether these represent trait or state abnormalities. The present study aimed to investigate this issue by assessing EEG microstate characteristics in high-risk individuals (HR) and clinically stable first-episode patients with schizophrenia (SZ) with low symptom levels, compared to each other and healthy controls (HC).
METHOD: Participants were 18 HR, 18 SZ, and 22 HC subjects. 64-channel resting-state EEG recordings were used for microstate analyses. Microstates were clustered into four classes (A-D) according to their topography. Temporal parameters and topographies of microstates were compared among groups.
RESULTS: Microstate class A displayed higher coverage and occurrence in HR than SZ and HC, while microstate class B covered significantly more time in SZ compared to both HR and HC. Microstate class B displayed an aberrant spatial configuration in SZ, and to a lesser extent also in HR, compared to HC, with patients exhibiting significantly higher activity in the vicinity of the left posterior cingulate. DISCUSSION: Microstate abnormalities observed in HR were similar to those previously reported in acutely ill patients with schizophrenia. Moreover, there was evidence that HR and SZ might share specific disturbances in brain functional connectivity. These findings raise the possibility that certain abnormalities in resting-state EEG microstates might be associated with an increased risk for psychosis.
Copyright © 2013 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  At-risk mental state; Connectivity; EEG; Microstates; Resting-state; Schizophrenia

Mesh:

Year:  2014        PMID: 24389056     DOI: 10.1016/j.schres.2013.12.008

Source DB:  PubMed          Journal:  Schizophr Res        ISSN: 0920-9964            Impact factor:   4.939


  37 in total

1.  EEG microstates during different phases of Transcendental Meditation practice.

Authors:  Pascal L Faber; Frederick Travis; Patricia Milz; Niyazi Parim
Journal:  Cogn Process       Date:  2017-04-27

2.  Cognitive manipulation of brain electric microstates.

Authors:  Benjamin A Seitzman; Malene Abell; Samuel C Bartley; Molly A Erickson; Amanda R Bolbecker; William P Hetrick
Journal:  Neuroimage       Date:  2016-10-11       Impact factor: 6.556

3.  Early Detection of Psychosis: Recent Updates from Clinical High-Risk Research.

Authors:  Ariel Schvarcz; Carrie E Bearden
Journal:  Curr Behav Neurosci Rep       Date:  2015-01-18

Review 4.  Microstates in resting-state EEG: current status and future directions.

Authors:  Arjun Khanna; Alvaro Pascual-Leone; Christoph M Michel; Faranak Farzan
Journal:  Neurosci Biobehav Rev       Date:  2014-12-17       Impact factor: 8.989

5.  Temporal and Spatial Dynamics of EEG Features in Female College Students with Subclinical Depression.

Authors:  Shanguang Zhao; Siew-Cheok Ng; Selina Khoo; Aiping Chi
Journal:  Int J Environ Res Public Health       Date:  2022-02-04       Impact factor: 3.390

6.  EEG microstate temporal Dynamics Predict depressive symptoms in College Students.

Authors:  Xiaorong Qin; Jingyi Xiong; Ruifang Cui; Guimin Zou; Changquan Long; Xu Lei
Journal:  Brain Topogr       Date:  2022-07-05       Impact factor: 4.275

7.  Electroencephalogram Microstate Abnormalities in Early-Course Psychosis.

Authors:  Michael Murphy; Robert Stickgold; Dost Öngür
Journal:  Biol Psychiatry Cogn Neurosci Neuroimaging       Date:  2019-07-25

Review 8.  Cellular and circuit models of increased resting-state network gamma activity in schizophrenia.

Authors:  R S White; S J Siegel
Journal:  Neuroscience       Date:  2015-11-11       Impact factor: 3.590

Review 9.  Multimodal approaches to functional connectivity in autism spectrum disorders: An integrative perspective.

Authors:  Lisa E Mash; Maya A Reiter; Annika C Linke; Jeanne Townsend; Ralph-Axel Müller
Journal:  Dev Neurobiol       Date:  2017-12-27       Impact factor: 3.964

10.  Comparison of EEG microstates with resting state fMRI and FDG-PET measures in the default mode network via simultaneously recorded trimodal (PET/MR/EEG) data.

Authors:  Ravichandran Rajkumar; Ezequiel Farrher; Jörg Mauler; Praveen Sripad; Cláudia Régio Brambilla; Elena Rota Kops; Jürgen Scheins; Jürgen Dammers; Christoph Lerche; Karl-Josef Langen; Hans Herzog; Bharat Biswal; N Jon Shah; Irene Neuner
Journal:  Hum Brain Mapp       Date:  2018-10-27       Impact factor: 5.038

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