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Sensory Prediction Errors Are Less Modulated by Global Context in Autism Spectrum Disorder

Authors :
Sander Van de Cruys
Eliane Deschrijver
Judith Goris
Marcel Brass
Davide Rigoni
Annabel D. Nijhof
Jan R. Wiersema
Senne Braem
Experimental and Applied Psychology
Brain, Body and Cognition
Source :
Biological psychiatry. Cognitive neuroscience and neuroimaging. 3(8)
Publication Year :
2018

Abstract

Background Recent predictive coding accounts of autism spectrum disorder (ASD) suggest that a key deficit in ASD concerns the inflexibility in modulating local prediction errors as a function of global top-down expectations. As a direct test of this central hypothesis, we used electroencephalography to investigate whether local prediction error processing was less modulated by global context (i.e., global stimulus frequency) in ASD. Methods A group of 18 adults with ASD was compared with a group of 24 typically developed adults on a well-validated hierarchical auditory oddball task in which participants listened to short sequences of either five identical sounds (local standard) or four identical sounds and a fifth deviant sound (local deviant). The latter condition is known to generate the mismatch negativity (MMN) component, believed to reflect early sensory prediction error processing. Crucially, previous studies have shown that in blocks with a higher frequency of local deviant sequences, top-down expectations seem to attenuate the MMN. We predicted that this modulation by global context would be less pronounced in the ASD group. Results Both groups showed an MMN that was modulated by global context. However, this effect was smaller in the ASD group as compared with the typically developed group. In contrast, the P3b, as an electroencephalographic marker of conscious expectation processes, did not differ across groups. Conclusions Our results demonstrate that people with ASD are less flexible in modulating their local predictions (reflected in MMN), thereby confirming the central hypothesis of contemporary predictive coding accounts of ASD.

Details

ISSN :
24519030
Volume :
3
Issue :
8
Database :
OpenAIRE
Journal :
Biological psychiatry. Cognitive neuroscience and neuroimaging
Accession number :
edsair.doi.dedup.....4d961ed1db81dfb3b494dac63168c26b