Michelle Dawson posts

Post published on Bluesky on 17 Oct 2023 20:08

Bluesky DOI work crossref Extract quoted in the post External link integrated into the post Autism terms

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Stephanie Van der Donck, Michelle Hendriks, Silke Vos, Hans Op de Beeck, Bart Boets (2023). Neural sensitivity to facial identity and facial expression discrimination in adults with autism. Autism Research, 16(11), 2110-2124. Wiley.

Publication date
12 Oct 2023
Identifier
10.1002/aur.3036
Authors
Stephanie Van der Donck, Michelle Hendriks, Silke Vos, Hans Op de Beeck, Bart Boets
Source
Autism Research
Details
16(11), 2110-2124
Reference type
article
Publisher
Wiley
Metadata source
crossref

Abstract

Abstract The fluent processing of faces can be challenging for autistic individuals. Here, we assessed the neural sensitivity to rapid changes in subtle facial cues in 23 autistic men and 23 age and IQ matched non‐autistic (NA) controls using frequency‐tagging electroencephalography (EEG). In oddball paradigms examining the automatic and implicit discrimination of facial identity and facial expression, base rate images were presented at 6 Hz, periodically interleaved every fifth image with an oddball image (i.e. 1.2 Hz oddball frequency). These distinctive frequency tags for base rate and oddball stimuli allowed direct and objective quantification of the neural discrimination responses. We found no large differences in the neural sensitivity of participants in both groups, not for facial identity discrimination, nor for facial expression discrimination. Both groups also showed a clear face‐inversion effect, with reduced brain responses for inverted versus upright faces. Furthermore, sad faces generally elicited significantly lower neural amplitudes than angry, fearful and happy faces. The only minor group difference is the larger involvement of high‐level right‐hemisphere visual areas in NA men for facial expression processing. These findings are discussed from a developmental perspective, as they strikingly contrast with robust face processing deficits observed in autistic children using identical EEG paradigms.

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