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Years of Microstate Research in Schizophrenia – Where Are We? A Meta-Analysis

Bibliographic Data

ID15524630
AuthorsKathryn Rieger (University of Bern, corresponding author), Laura Diaz Hernandez (0000-0003-3452-8797, University of Bern), Anja Baenninger (0000-0001-8921-5216, University of Bern), Thomas Koenig (0000-0002-1472-4638, University of Bern)
Year2016
Volume7
Pages22-22
Publication date2016-02-26
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueFrontiers in Psychiatry (JOURNAL)
Journal identifiersISSN: 1664-0640 • E-ISSN: 1664-0640
PublisherFrontiers Media (PUBLISHER • CH)
DOI10.3389/fpsyt.2016.00022
PMID26955358
OpenAlexW2296519936
LanguageEN
Citations received11
References cited50

Schizophrenia patients show abnormalities in a broad range of task demands. Therefore, an explanation common to all these abnormalities has to be sought independently of any particular task, ideally in the brain dynamics before a task takes place or during resting state. For the neurobiological investigation of such baseline states, EEG microstate analysis is particularly well suited, because it identifies subsecond global states of stable connectivity patterns directly related to the recruitment of different types of information processing modes (e.g., integration of top-down and bottom-up information). Meanwhile, there is an accumulation of evidence that particular microstate networks are selectively affected in schizophrenia. To obtain an overall estimate of the effect size of these microstate abnormalities, we present a systematic meta-analysis over all studies available to date relating EEG microstates to schizophrenia. Results showed medium size effects for two classes of microstates, namely, a class labeled C that was found to be more frequent in schizophrenia and a class labeled D that was found to be shortened. These abnormalities may correspond to core symptoms of schizophrenia, e.g., insufficient reality testing and self-monitoring as during auditory verbal hallucinations. As interventional studies have shown that these microstate features may be systematically affected using antipsychotic drugs or neurofeedback interventions, these findings may help introducing novel diagnostic and treatment options

Cognitive psychology · Electroencephalography · Meta-analysis · Ministate · Neurofeedback · Psychiatry · Resting state fMRI · Schizophrenia (object-oriented programming · Task (project management · EEG and Brain-Computer Interfaces · Functional Brain Connectivity Studies · Medicine · Neural dynamics and brain function · Neuroscience · Psychology

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Unique citing works11
Citations per year1,38
Citation span2018 - 2025 (8)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 11

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