Detailed Information on Publication Record
2024
EEG Microstates in Mood and Anxiety Disorders: A Meta-analysis
CHIVU, Alina, Simona A PASCAL, Alena DAMBORSKÁ and Miralena I TOMESCUBasic information
Original name
EEG Microstates in Mood and Anxiety Disorders: A Meta-analysis
Authors
CHIVU, Alina, Simona A PASCAL, Alena DAMBORSKÁ (203 Czech Republic, belonging to the institution) and Miralena I TOMESCU (guarantor)
Edition
BRAIN TOPOGRAPHY, DORDRECHT, SPRINGER, 2024, 0896-0267
Other information
Language
English
Type of outcome
Článek v odborném periodiku
Field of Study
30103 Neurosciences
Country of publisher
United States of America
Confidentiality degree
není předmětem státního či obchodního tajemství
References:
Impact factor
Impact factor: 2.700 in 2022
Organization unit
Faculty of Medicine
UT WoS
001063537600002
Keywords in English
Microstates; Meta-Analysis; Depression; Anxiety; PTSD; Bipolar Disorder; Panic Disorder
Tags
International impact, Reviewed
Změněno: 12/7/2024 13:00, Mgr. Tereza Miškechová
Abstract
V originále
To reduce the psycho-social burden increasing attention has focused on brain abnormalities in the most prevalent and highly co-occurring neuropsychiatric disorders, such as mood and anxiety. However, high inter-study variability in these patients results in inconsistent and contradictory alterations in the fast temporal dynamics of large-scale networks as measured by EEG microstates. Thus, in this meta-analysis, we aim to investigate the consistency of these changes to better understand possible common neuro-dynamical mechanisms of these disorders. In the systematic search, twelve studies investigating EEG microstate changes in participants with mood and anxiety disorders and individuals with subclinical depression were included in this meta-analysis, adding up to 787 participants. The results suggest that EEG microstates consistently discriminate mood and anxiety impairments from the general population in patients and subclinical states. Specifically, we found a small significant effect size for B microstates in patients compared to healthy controls, with larger effect sizes for increased B presence in unmedicated patients with comorbidity. In a subgroup meta-analysis of ten mood disorder studies, microstate D showed a significant effect size for decreased presence. When investigating only the two anxiety disorder studies, we found a significantly small effect size for the increased microstate A and a medium effect size for decreased microstate E (one study). However, more studies are needed to elucidate whether these findings are diagnostic-specific markers. Results are discussed in relation to the functional meaning of microstates and possible contribution to an explanatory mechanism of overlapping symptomatology of mood and anxiety disorders.