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

  • Nishida K
  • Morishima Y
  • Yoshimura M
 et al. 
  • 116

    Readers

    Mendeley users who have this article in their library.
  • 42

    Citations

    Citations of this article.

Abstract

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. © 2013 International Federation of Clinical Neurophysiology.

Author-supplied keywords

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

Get free article suggestions today

Mendeley saves you time finding and organizing research

Sign up here
Already have an account ?Sign in

Find this document

Authors

  • Yizhen PanNational University of Defense Technology

    Follow
  • Keiichiro Nishida

  • Masafumi Yoshimura

  • Toshiaki Isotani

  • Satoshi Irisawa

  • Kay Jann

Cite this document

Choose a citation style from the tabs below

Save time finding and organizing research with Mendeley

Sign up for free