J 2019

Altered Electroencephalographic Resting-State Large-Scale Brain Network Dynamics in Euthymic Bipolar Disorder Patients

DAMBORSKÁ, Alena, Camille PIGUET, Jean-Michel AUBRY, Alexandre G. DAYER, Christoph M. MICHEL et. al.

Basic information

Original name

Altered Electroencephalographic Resting-State Large-Scale Brain Network Dynamics in Euthymic Bipolar Disorder Patients

Authors

DAMBORSKÁ, Alena (203 Czech Republic, guarantor, belonging to the institution), Camille PIGUET (756 Switzerland), Jean-Michel AUBRY (756 Switzerland), Alexandre G. DAYER (756 Switzerland), Christoph M. MICHEL (756 Switzerland) and Cristina BERCHIO (756 Switzerland)

Edition

Frontiers in Psychiatry, Lausanne, Frontiers, 2019, 1664-0640

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

30215 Psychiatry

Country of publisher

Switzerland

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

Impact factor

Impact factor: 2.849

RIV identification code

RIV/00216224:14110/19:00111753

Organization unit

Faculty of Medicine

UT WoS

000499811600001

Keywords in English

electroencephalographic microstate; large-scale brain networks; resting state; dynamic brain activity; bipolar disorder; high-density electroencephalography

Tags

Tags

International impact, Reviewed
Změněno: 20/1/2020 11:56, Mgr. Tereza Miškechová

Abstract

V originále

Background: Neuroimaging studies provided evidence for disrupted resting-state functional brain network activity in bipolar disorder (BD). Electroencephalographic (EEG) studies found altered temporal characteristics of functional EEG microstates during depressive episode within different affective disorders. Here we investigated whether euthymic patients with BD show deviant resting-state large-scale brain network dynamics as reflected by altered temporal characteristics of EEG microstates. Methods: We used high-density EEG to explore between-group differences in duration, coverage, and occurrence of the resting-state functional EEG microstates in 17 euthymic adults with BD in on-medication state and 17 age- and gender-matched healthy controls. Two types of anxiety, state and trait, were assessed separately with scores ranging from 20 to 80. Results: Microstate analysis revealed five microstates (A-E) in global clustering across all subjects. In patients compared to controls, we found increased occurrence and coverage of microstate A that did not significantly correlate with anxiety scores. Conclusion: Our results provide neurophysiological evidence for altered large-scale brain network dynamics in BD patients and suggest the increased presence of A microstate to be an electrophysiological trait characteristic of BD.