Detailed Information on Publication Record
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
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.