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.

Default Mode Network alterations in individuals with high-trait-anxiety: an EEG functional connectivity study

Mauro Adenzato;Elena Fontana;Rita B. Ardito
Last
2019-01-01

Abstract

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.
2019
246
611
618
https://www.sciencedirect.com/science/article/pii/S0165032718321761?via=ihub
Default Mode Network, EEG Functional connectivity, eLORETA; Psychopathology, Trait anxiety
Claudio Imperatori, Benedetto Farina, Mauro Adenzato, Enrico Maria Valenti, Cristina Murgia, Giacomo Della Marca, Riccardo Brunetti, Elena Fontana, Rita B. Ardito
File in questo prodotto:
File Dimensione Formato  
JAD_2019.pdf

Accesso riservato

Descrizione: Articolo principale
Tipo di file: PDF EDITORIALE
Dimensione 698.28 kB
Formato Adobe PDF
698.28 kB Adobe PDF   Visualizza/Apri   Richiedi una copia
JAD_2019.pdf

Open Access dal 25/12/2019

Descrizione: Articolo principale
Tipo di file: POSTPRINT (VERSIONE FINALE DELL’AUTORE)
Dimensione 454.68 kB
Formato Adobe PDF
454.68 kB Adobe PDF Visualizza/Apri
Journal affective disorder 2019.pdf

Accesso riservato

Tipo di file: PDF EDITORIALE
Dimensione 617.9 kB
Formato Adobe PDF
617.9 kB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1685717
Citazioni
  • ???jsp.display-item.citation.pmc??? 29
  • Scopus 67
  • ???jsp.display-item.citation.isi??? 60
social impact