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.

Základní údaje

Originální název

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

Autoři

DAMBORSKÁ, Alena (203 Česká republika, garant, domácí), Camille PIGUET (756 Švýcarsko), Jean-Michel AUBRY (756 Švýcarsko), Alexandre G. DAYER (756 Švýcarsko), Christoph M. MICHEL (756 Švýcarsko) a Cristina BERCHIO (756 Švýcarsko)

Vydání

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

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

30215 Psychiatry

Stát vydavatele

Švýcarsko

Utajení

není předmětem státního či obchodního tajemství

Odkazy

Impakt faktor

Impact factor: 2.849

Kód RIV

RIV/00216224:14110/19:00111753

Organizační jednotka

Lékařská fakulta

UT WoS

000499811600001

Klíčová slova anglicky

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

Štítky

Příznaky

Mezinárodní význam, Recenzováno
Změněno: 20. 1. 2020 11:56, Mgr. Tereza Miškechová

Anotace

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.