EEG Microstates in Mood and Anxiety Disorders: A Meta-analysis

J 2024

EEG Microstates in Mood and Anxiety Disorders: A Meta-analysis

CHIVU, Alina, Simona A PASCAL, Alena DAMBORSKÁ a Miralena I TOMESCU

Základní údaje

Originální název

EEG Microstates in Mood and Anxiety Disorders: A Meta-analysis

Autoři

CHIVU, Alina, Simona A PASCAL, Alena DAMBORSKÁ (203 Česká republika, domácí) a Miralena I TOMESCU (garant)

Vydání

BRAIN TOPOGRAPHY, DORDRECHT, SPRINGER, 2024, 0896-0267

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

30103 Neurosciences

Stát vydavatele

Spojené státy

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Impakt faktor

Impact factor: 2.700 v roce 2022

Organizační jednotka

Lékařská fakulta

DOI

http://dx.doi.org/10.1007/s10548-023-00999-0

UT WoS

001063537600002

Klíčová slova anglicky

Microstates; Meta-Analysis; Depression; Anxiety; PTSD; Bipolar Disorder; Panic Disorder

Štítky

14110222, podil, rivok

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 12. 7. 2024 13:00, Mgr. Tereza Miškechová

Anotace

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.

Citovat

CHIVU, Alina, Simona A PASCAL, Alena DAMBORSKÁ a Miralena I TOMESCU. EEG Microstates in Mood and Anxiety Disorders: A Meta-analysis. BRAIN TOPOGRAPHY. DORDRECHT: SPRINGER, 2024, roč. 37, č. 3, s. 357-368. ISSN 0896-0267. Dostupné z: https://dx.doi.org/10.1007/s10548-023-00999-0.

@article{2333661,
   author = {Chivu, Alina and Pascal, Simona A and Damborská, Alena and Tomescu, Miralena I},
   article_location = {DORDRECHT},
   article_number = {3},
   doi = {http://dx.doi.org/10.1007/s10548-023-00999-0},
   keywords = {Microstates; Meta-Analysis; Depression; Anxiety; PTSD; Bipolar Disorder; Panic Disorder},
   language = {eng},
   issn = {0896-0267},
   journal = {BRAIN TOPOGRAPHY},
   title = {EEG Microstates in Mood and Anxiety Disorders: A Meta-analysis},
   url = {https://link.springer.com/article/10.1007/s10548-023-00999-0},
   volume = {37},
   year = {2024}
}

TY  - JOUR
ID  - 2333661
AU  - Chivu, Alina - Pascal, Simona A - Damborská, Alena - Tomescu, Miralena I
PY  - 2024
TI  - EEG Microstates in Mood and Anxiety Disorders: A Meta-analysis
JF  - BRAIN TOPOGRAPHY
VL  - 37
IS  - 3
SP  - 357-368
EP  - 357-368
PB  - SPRINGER
SN  - 08960267
KW  - Microstates
KW  - Meta-Analysis
KW  - Depression
KW  - Anxiety
KW  - PTSD
KW  - Bipolar Disorder
KW  - Panic Disorder
UR  - https://link.springer.com/article/10.1007/s10548-023-00999-0
N2  - 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.
ER  -

CHIVU, Alina, Simona A PASCAL, Alena DAMBORSKÁ a Miralena I TOMESCU. EEG Microstates in Mood and Anxiety Disorders: A Meta-analysis. \textit{BRAIN TOPOGRAPHY}. DORDRECHT: SPRINGER, 2024, roč.~37, č.~3, s.~357-368. ISSN~0896-0267. Dostupné z: https://dx.doi.org/10.1007/s10548-023-00999-0.

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