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

Claudio Imperatori, Benedetto Farina, Mauro Adenzato, Enrico Maria Valenti, Cristina Murgia, Giacomo Della Marca, Riccardo Brunetti, Elena Fontana, Rita B. Ardito

Research output: Contribution to journalArticle

26 Citations (Scopus)


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.
Original languageEnglish
Pages (from-to)611-618
Number of pages8
JournalJournal of Affective Disorders
Publication statusPublished - 2019


  • Affective Symptoms
  • Anxiety Disorders
  • Brain
  • Brain Mapping
  • Default mode network
  • EEG functional connectivity
  • Electroencephalography
  • Female
  • Gyrus Cinguli
  • Humans
  • Magnetic Resonance Imaging
  • Male
  • Models, Neurological
  • Nerve Net
  • Neural Pathways
  • Prefrontal Cortex
  • Psychopathology
  • Surveys and Questionnaires
  • Trait anxiety
  • Young Adult


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