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

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.

Relationship between Spatiotemporal Dynamics of the Brain at Rest and Self-Reported Spontaneous Thoughts: An EEG Microstate Approach

“…Four microstate topographies with right frontal to left posterior, left frontal to right posterior, frontal to occipital and fronto-central configurations matched the most frequently reported microstate classes in the literature and were labeled as microstates A, B, C and D, respectively [44]. Among three additional topographies, one had left lateralized activity and was similar to microstate E reported in studies by [21,22,45] and was labeled accordingly as microstate E. One topography displayed posterior activity and matched microstate F reported in studies by [21,22,46], microstate E reported in studies by [47][48][49] and microstate C reported in study [50] and was further labeled as microstate F. The remaining topography had right lateralized activity and was similar to microstate G from study by [22] and microstate F reported in studies by [45,49]; this was further labeled as microstate G (Figure 1C). The extracted seven microstates explained 83.8% of the global variance.…”

Electroencephalographic Microstates in Schizophrenia and Bipolar Disorder

“…Microstate B was correlated with the mental visualization of a situation (69). A recent study reported that a greater presence of microstate B was correlated with more severe anxiety (60).…”

Resting‐State EEG Microstates Parallel Age‐Related Differences in Allocentric Spatial Working Memory Performance

“…In addition, several studies have reported that resting-state EEG microstates are altered in neuropsychiatric and neurodegenerative disorders, such as Alzheimer’s disease (Musaeus et al 2019 ; Smailovic et al 2019 ), Parkinson’s disease (Chu et al 2019 ), schizophrenia (Andreou et al 2014 ; Baradits et al 2020 ; da Cruz et al 2020 ; de Bock et al 2020 ; Giordano et al 2018 ; Kindler et al 2011 ; Koenig et al 1999 ; Lehmann et al 2005 ; Murphy et al 2020a ; Nishida et al 2013 ; Soni et al 2018 ; Strelets et al 2003 ; Tomescu et al 2014 ; Tomescu et al 2015 ), multiple sclerosis (Gschwind et al 2016 ), fibromyalgia (Gonzalez-Villar et al 2020 ), panic disorder (Kikuchi et al 2011 ), bipolar disorder (Damborska et al 2019 ; Vellante et al 2020 ), obsessive–compulsive disorder (Yoshimura et al 2019 ), depressive disorder (Murphy et al 2020b ), narcolepsy (Drissi et al 2016 ; Drissi et al 2019 ), stroke (Zappasodi et al 2017 ) or autism (D’Croz-Baron et al 2019 ; Jia and Yu 2019 ; Portnova et al 2020 ). EEG microstate analyses might therefore provide another tool for the development of a non-invasive assessment of healthy cognitive aging.…”