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Abnormal EEG Power Spectrum in Individuals with High Autistic Personality Traits: an eLORETA Study

  • Chiara Massullo
    ,
  • Claudio Imperatori
    ,
  • Mauro Adenzato
    ,
  • Riccardo Brunetti
    ,
  • ,
  • Giacomo Della Marca
Research Output: Contribution to journal Article Peer review

Open Access

Publication Information

Tipo di output

Research Output: Contribution to journal Article Peer review

Lingua originale

English

Pagine da-a (Numero di pagine)

Pagine 560-569 (10 pagine)

Rivista (volume, numero edizione)

Journal of Psychopathology and Behavioral Assessment (Volume 42, Edizione 3)

Attività cardine della pubblicazione

  • Published - 01/09/2020

Stato pubblicazione

Published - 01/09/2020

ISSN

0882-2689

Publication IDs

  • Scopus: 85077077710

Abstract

Autistic traits lie on a continuously distributed spectrum ranging from non-clinical to clinical conditions. Indeed, autistic traits have been observed in general population at sub-threshold levels. Here, the main aim was to investigate differences in resting state (RS) electroencephalographic (EEG) power spectrum in individuals with high vs. low autistic traits. Fifty undergraduates completed the Autism-Spectrum Quotient (AQ) and the Empathy Quotient (EQ). For each participant five minutes of RS-EEG were recorded and analysed by means of the exact Low-Resolution Electromagnetic Tomography software (eLORETA). A Two-Step Cluster Analysis revealed two groups: high autistic traits (AT+) and low autistic traits (AT−) group. Compared to AT−, AT+ individuals showed an increase of delta power in parietal/occipital and cortico-limbic areas. No alterations were observed in other frequency bands. Furthermore, both AQ and EQ total scores were positively correlated with delta EEG power after controlling for sex, age, and subclinical psychopathological traits. Results show that AT+ individuals exhibit an increase in slow RS EEG power in regions involved in self-referential processes, suggesting a reduction in these internally directed mental activities and adding new evidence on the existence of a continuum in the autistic spectrum which spreads from clinical to non-clinical significance.