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
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.