4.6 Article

EEG microstates associated with salience and frontoparietal networks in frontotemporal dementia, schizophrenia and Alzheimer's disease

Journal

CLINICAL NEUROPHYSIOLOGY
Volume 124, Issue 6, Pages 1106-1114

Publisher

ELSEVIER IRELAND LTD
DOI: 10.1016/j.clinph.2013.01.005

Keywords

EEG; EEG microstates; Salience network; Frontoparietal network; Frontotemporal dementia; Schizophrenia; Resting state

Funding

  1. Medical Research Foundation for Senile Dementia Osaka
  2. KAKENHI [22591305]
  3. Uehara Memorial Foundation
  4. Grants-in-Aid for Scientific Research [22591305] Funding Source: KAKEN

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Objective: There are relevant links between resting-state fMRI networks, EEG microstate classes and psychopathological alterations in mental disorders associated with frontal lobe dysfunction. We hypothesized that a certain microstate class, labeled C and correlated with the salience network, was impaired early in frontotemporal dementia (FTD), and that microstate class D, correlated with the frontoparietal network, was impaired in schizophrenia. Methods: We measured resting EEG microstate parameters in patients with mild FTD (n = 18), schizophrenia (n = 20), mild Alzheimer's disease (AD; n = 19) and age-matched controls (old n = 19, young n = 18) to investigate neuronal dynamics at the whole-brain level. Results: The duration of class C was significantly shorter in FTD than in controls and AD, and the duration of class D was significantly shorter in schizophrenia than in controls, FTD and AD. Transition analysis showed a reversed sequence of activation of classes C and D in FTD and schizophrenia patients compared with that in controls, with controls preferring transitions from C to D, and patients preferring D to C. Conclusion: The duration and sequence of EEG microstates reflect specific aberrations of frontal lobe functions in FTD and schizophrenia. Significance: This study highlights the importance of subsecond brain dynamics for understanding of psychiatric disorders. (C) 2013 International Federation of Clinical Neurophysiology. Published by Elsevier Ireland Ltd. All rights reserved.

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