Literature DB >> 31982699

Combined frequency-tagging EEG and eye tracking reveal reduced social bias in boys with autism spectrum disorder.

Sofie Vettori1, Milena Dzhelyova2, Stephanie Van der Donck3, Corentin Jacques4, Tim Van Wesemael5, Jean Steyaert3, Bruno Rossion6, Bart Boets3.   

Abstract

Developmental accounts of autism spectrum disorder (ASD) state that infants and children with ASD are spontaneously less attracted by and less proficient in processing social stimuli such as faces. This is hypothesized to partly underlie social communication difficulties in ASD. While in some studies a reduced preference for social stimuli has been shown in individuals with ASD, effect sizes are moderate and vary across studies, stimuli, and designs. Eye tracking, often the methodology of choice to study social preference, conveys information about overt orienting processes but conceals covert attention, possibly resulting in an underestimation of the effects. In this study, we recorded eye tracking and electroencephalography (EEG) during fast periodic visual stimulation to address this issue. We tested 21 boys with ASD (8-12 years old) and 21 typically developing (TD) control boys, matched for age and IQ. Streams of variable images of faces were presented at 6 Hz alongside images of houses presented at 7.5 Hz or vice versa, while children were engaged in an orthogonal task. While frequency-tagged neural responses were larger in response to faces than simultaneously presented houses in both groups, this effect was much larger in TD boys than in boys with ASD. This group difference in saliency of social versus non-social processing is significant after 5 sec of stimulus presentation and holds throughout the entire trial. Although there was no interaction between group and stimulus category for simultaneously recorded eye-tracking data, eye tracking and EEG measures were strongly correlated. We conclude that frequency-tagging EEG, allowing monitoring of both overt and covert processes, provides a fast, objective and reliable measure of decreased preference for social information in ASD.
Copyright © 2019. Published by Elsevier Ltd.

Entities:  

Keywords:  Autism spectrum disorder; EEG; Eye tracking; Face processing; Frequency-tagging

Mesh:

Year:  2019        PMID: 31982699     DOI: 10.1016/j.cortex.2019.12.013

Source DB:  PubMed          Journal:  Cortex        ISSN: 0010-9452            Impact factor:   4.027


  4 in total

1.  Resting state EEG power spectrum and functional connectivity in autism: a cross-sectional analysis.

Authors:  Pilar Garcés; Sarah Baumeister; Luke Mason; Christopher H Chatham; Stefan Holiga; Juergen Dukart; Emily J H Jones; Tobias Banaschewski; Simon Baron-Cohen; Sven Bölte; Jan K Buitelaar; Sarah Durston; Bob Oranje; Antonio M Persico; Christian F Beckmann; Thomas Bougeron; Flavio Dell'Acqua; Christine Ecker; Carolin Moessnang; Tony Charman; Julian Tillmann; Declan G M Murphy; Mark Johnson; Eva Loth; Daniel Brandeis; Joerg F Hipp
Journal:  Mol Autism       Date:  2022-05-18       Impact factor: 6.476

2.  Combined frequency-tagging EEG and eye-tracking measures provide no support for the "excess mouth/diminished eye attention" hypothesis in autism.

Authors:  Sofie Vettori; Stephanie Van der Donck; Jannes Nys; Pieter Moors; Tim Van Wesemael; Jean Steyaert; Bruno Rossion; Milena Dzhelyova; Bart Boets
Journal:  Mol Autism       Date:  2020-11-23       Impact factor: 7.509

3.  Frequency-Tagging Electroencephalography of Superimposed Social and Non-Social Visual Stimulation Streams Reveals Reduced Saliency of Faces in Autism Spectrum Disorder.

Authors:  Sofie Vettori; Milena Dzhelyova; Stephanie Van der Donck; Corentin Jacques; Jean Steyaert; Bruno Rossion; Bart Boets
Journal:  Front Psychiatry       Date:  2020-04-28       Impact factor: 4.157

4.  Integration of Facial Expression and Gaze Direction in Individuals with a High Level of Autistic Traits.

Authors:  Andrea Marotta; Belén Aranda-Martín; Marco De Cono; María Ángeles Ballesteros-Duperón; Maria Casagrande; Juan Lupiáñez
Journal:  Int J Environ Res Public Health       Date:  2022-02-27       Impact factor: 3.390

  4 in total

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