Shifted coupling of EEG driving frequencies and fMRI resting state networks in schizophrenia spectrum disorders.

INTRODUCTION: The cerebral resting state in schizophrenia is altered, as has been demonstrated separately by electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) resting state networks (RSNs). Previous simultaneous EEG/fMRI findings in healthy controls suggest that a consist...

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Main Authors: Nadja Razavi, Kay Jann, Thomas Koenig, Mara Kottlow, Martinus Hauf, Werner Strik, Thomas Dierks
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2013-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3790692?pdf=render
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author Nadja Razavi
Kay Jann
Thomas Koenig
Mara Kottlow
Martinus Hauf
Werner Strik
Thomas Dierks
author_facet Nadja Razavi
Kay Jann
Thomas Koenig
Mara Kottlow
Martinus Hauf
Werner Strik
Thomas Dierks
author_sort Nadja Razavi
collection DOAJ
description INTRODUCTION: The cerebral resting state in schizophrenia is altered, as has been demonstrated separately by electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) resting state networks (RSNs). Previous simultaneous EEG/fMRI findings in healthy controls suggest that a consistent spatiotemporal coupling between neural oscillations (EEG frequency correlates) and RSN activity is necessary to organize cognitive processes optimally. We hypothesized that this coupling is disorganized in schizophrenia and related psychotic disorders, in particular regarding higher cognitive RSNs such as the default-mode (DMN) and left-working-memory network (LWMN). METHODS: Resting state was investigated in eleven patients with a schizophrenia spectrum disorder (n = 11) and matched healthy controls (n = 11) using simultaneous EEG/fMRI. The temporal association of each RSN to topographic spectral changes in the EEG was assessed by creating Covariance Maps. Group differences within, and group similarities across frequencies were estimated for the Covariance Maps. RESULTS: The coupling of EEG frequency bands to the DMN and the LWMN respectively, displayed significant similarities that were shifted towards lower EEG frequencies in patients compared to healthy controls. CONCLUSIONS: By combining EEG and fMRI, each measuring different properties of the same pathophysiology, an aberrant relationship between EEG frequencies and altered RSNs was observed in patients. RSNs of patients were related to lower EEG frequencies, indicating functional alterations of the spatiotemporal coupling. SIGNIFICANCE: The finding of a deviant and shifted coupling between RSNs and related EEG frequencies in patients with a schizophrenia spectrum disorder is significant, as it might indicate how failures in the processing of internal and external stimuli, as commonly seen during this symptomatology (i.e. thought disorders, hallucinations), arise.
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spelling doaj.art-4e95682805d34a069c4fdc8c4f6fd25d2022-12-22T03:35:44ZengPublic Library of Science (PLoS)PLoS ONE1932-62032013-01-01810e7660410.1371/journal.pone.0076604Shifted coupling of EEG driving frequencies and fMRI resting state networks in schizophrenia spectrum disorders.Nadja RazaviKay JannThomas KoenigMara KottlowMartinus HaufWerner StrikThomas DierksINTRODUCTION: The cerebral resting state in schizophrenia is altered, as has been demonstrated separately by electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) resting state networks (RSNs). Previous simultaneous EEG/fMRI findings in healthy controls suggest that a consistent spatiotemporal coupling between neural oscillations (EEG frequency correlates) and RSN activity is necessary to organize cognitive processes optimally. We hypothesized that this coupling is disorganized in schizophrenia and related psychotic disorders, in particular regarding higher cognitive RSNs such as the default-mode (DMN) and left-working-memory network (LWMN). METHODS: Resting state was investigated in eleven patients with a schizophrenia spectrum disorder (n = 11) and matched healthy controls (n = 11) using simultaneous EEG/fMRI. The temporal association of each RSN to topographic spectral changes in the EEG was assessed by creating Covariance Maps. Group differences within, and group similarities across frequencies were estimated for the Covariance Maps. RESULTS: The coupling of EEG frequency bands to the DMN and the LWMN respectively, displayed significant similarities that were shifted towards lower EEG frequencies in patients compared to healthy controls. CONCLUSIONS: By combining EEG and fMRI, each measuring different properties of the same pathophysiology, an aberrant relationship between EEG frequencies and altered RSNs was observed in patients. RSNs of patients were related to lower EEG frequencies, indicating functional alterations of the spatiotemporal coupling. SIGNIFICANCE: The finding of a deviant and shifted coupling between RSNs and related EEG frequencies in patients with a schizophrenia spectrum disorder is significant, as it might indicate how failures in the processing of internal and external stimuli, as commonly seen during this symptomatology (i.e. thought disorders, hallucinations), arise.http://europepmc.org/articles/PMC3790692?pdf=render
spellingShingle Nadja Razavi
Kay Jann
Thomas Koenig
Mara Kottlow
Martinus Hauf
Werner Strik
Thomas Dierks
Shifted coupling of EEG driving frequencies and fMRI resting state networks in schizophrenia spectrum disorders.
PLoS ONE
title Shifted coupling of EEG driving frequencies and fMRI resting state networks in schizophrenia spectrum disorders.
title_full Shifted coupling of EEG driving frequencies and fMRI resting state networks in schizophrenia spectrum disorders.
title_fullStr Shifted coupling of EEG driving frequencies and fMRI resting state networks in schizophrenia spectrum disorders.
title_full_unstemmed Shifted coupling of EEG driving frequencies and fMRI resting state networks in schizophrenia spectrum disorders.
title_short Shifted coupling of EEG driving frequencies and fMRI resting state networks in schizophrenia spectrum disorders.
title_sort shifted coupling of eeg driving frequencies and fmri resting state networks in schizophrenia spectrum disorders
url http://europepmc.org/articles/PMC3790692?pdf=render
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