DAMBORSKÁ, Alena, Camille PIGUET, Jean-Michel AUBRY, Alexandre G. DAYER, Christoph M. MICHEL and Cristina BERCHIO. Altered Electroencephalographic Resting-State Large-Scale Brain Network Dynamics in Euthymic Bipolar Disorder Patients. Frontiers in Psychiatry. Lausanne: Frontiers, vol. 10, NOV 15 2019, p. 1-10. ISSN 1664-0640. doi:10.3389/fpsyt.2019.00826. 2019.
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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
Original language English
Type of outcome Article in a journal
Field of Study 30215 Psychiatry
Country of publisher Switzerland
Confidentiality degree is not subject to a state or trade secret
WWW URL
Impact factor Impact factor: 2.849
RIV identification code RIV/00216224:14110/19:00111753
Organization unit Faculty of Medicine
Doi http://dx.doi.org/10.3389/fpsyt.2019.00826
UT WoS 000499811600001
Keywords in English electroencephalographic microstate; large-scale brain networks; resting state; dynamic brain activity; bipolar disorder; high-density electroencephalography
Tags 14110222, rivok
Tags International impact, Reviewed
Changed by Changed by: Mgr. Tereza Miškechová, učo 341652. Changed: 20/1/2020 11:56.
Abstract
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.
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