Default mode network alterations in individuals with high-trait-anxiety: An EEG functional connectivity study.


Journal

Journal of affective disorders
ISSN: 1573-2517
Titre abrégé: J Affect Disord
Pays: Netherlands
ID NLM: 7906073

Informations de publication

Date de publication:
01 03 2019
Historique:
received: 26 09 2018
revised: 10 11 2018
accepted: 23 12 2018
pubmed: 4 1 2019
medline: 2 4 2019
entrez: 4 1 2019
Statut: ppublish

Résumé

Although several researches investigated Default Mode Network (DMN) alterations in individuals with anxiety disorders, up to now no studies have investigated DMN functional connectivity in non-clinical individuals with high-trait-anxiety using quantitative electroencephalography (EEG). Here, the main aim was to extend previous findings investigating the association between trait anxiety and DMN EEG functional connectivity. Twenty-three individuals with high-trait-anxiety and twenty-four controls were enrolled. EEG was recorded during 5 min of resting state (RS). EEG analyses were conducted by means of the exact Low-Resolution Electromagnetic Tomography software (eLORETA). Compared to controls, individuals with high-trait-anxiety showed a decrease of theta connectivity between right medial prefrontal cortex (mPFC) and right posterior cingulate/retrosplenial cortex. A decrease of beta connectivity was also observed between right mPFC and right anterior cingulate cortex. Furthermore, DMN functional connectivity strength was negatively related with STAI-T total score (i.e., lower connectivity was associated with higher trait anxiety), even when controlling for potential confounding variables (i.e., sex, age, and general psychopathology). Small sample size makes it difficult to draw definitive conclusions. Furthermore, we did not assess state variation of anxiety, which make our interpretation specific to trait anxiety. Taken together, our results suggest that high-trait-anxiety individuals fail to synchronize DMN during RS, reflecting a possible top-down cognitive control deficit. These results may help in the understanding of the individual differences in functional brain networks associated with trait anxiety, a crucial aim in the prevention and in the early etiology understanding of clinical anxiety and related sequelae.

Sections du résumé

BACKGROUND
Although several researches investigated Default Mode Network (DMN) alterations in individuals with anxiety disorders, up to now no studies have investigated DMN functional connectivity in non-clinical individuals with high-trait-anxiety using quantitative electroencephalography (EEG). Here, the main aim was to extend previous findings investigating the association between trait anxiety and DMN EEG functional connectivity.
METHODS
Twenty-three individuals with high-trait-anxiety and twenty-four controls were enrolled. EEG was recorded during 5 min of resting state (RS). EEG analyses were conducted by means of the exact Low-Resolution Electromagnetic Tomography software (eLORETA).
RESULTS
Compared to controls, individuals with high-trait-anxiety showed a decrease of theta connectivity between right medial prefrontal cortex (mPFC) and right posterior cingulate/retrosplenial cortex. A decrease of beta connectivity was also observed between right mPFC and right anterior cingulate cortex. Furthermore, DMN functional connectivity strength was negatively related with STAI-T total score (i.e., lower connectivity was associated with higher trait anxiety), even when controlling for potential confounding variables (i.e., sex, age, and general psychopathology).
LIMITATIONS
Small sample size makes it difficult to draw definitive conclusions. Furthermore, we did not assess state variation of anxiety, which make our interpretation specific to trait anxiety.
CONCLUSIONS
Taken together, our results suggest that high-trait-anxiety individuals fail to synchronize DMN during RS, reflecting a possible top-down cognitive control deficit. These results may help in the understanding of the individual differences in functional brain networks associated with trait anxiety, a crucial aim in the prevention and in the early etiology understanding of clinical anxiety and related sequelae.

Identifiants

pubmed: 30605880
pii: S0165-0327(18)32176-1
doi: 10.1016/j.jad.2018.12.071
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

611-618

Informations de copyright

Copyright © 2018 Elsevier B.V. All rights reserved.

Auteurs

Claudio Imperatori (C)

Department of Human Sciences, European University of Rome, Rome, Italy.

Benedetto Farina (B)

Department of Human Sciences, European University of Rome, Rome, Italy.

Mauro Adenzato (M)

Department of Psychology, University of Turin, Turin, Italy. Electronic address: mauro.adenzato@unito.it.

Enrico Maria Valenti (EM)

Department of Human Sciences, European University of Rome, Rome, Italy; Department of Dynamic and Clinical Psychology, Sapienza University of Rome, Rome, Italy.

Cristina Murgia (C)

Department of Human Sciences, European University of Rome, Rome, Italy.

Giacomo Della Marca (GD)

Sleep Disorders Unit, Institute of Neurology, Catholic University, Rome, Italy.

Riccardo Brunetti (R)

Department of Human Sciences, European University of Rome, Rome, Italy.

Elena Fontana (E)

Department of Psychology, University of Turin, Turin, Italy.

Rita B Ardito (RB)

Department of Neuroscience "Rita Levi Montalcini", University of Turin, Turin, Italy.

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Classifications MeSH