» Articles » PMID: 38773994

Reduced Context Updating but Intact Visual Priors in Autism

Overview
Specialty Biology
Date 2024 May 22
PMID 38773994
Authors
Affiliations
Soon will be listed here.
Abstract

A general consensus persists that sensory-perceptual differences in autism, such as hypersensitivities to light or sound, result from an overreliance on new (rather than prior) sensory observations. However, conflicting Bayesian accounts of autism remain unresolved as to whether such alterations are caused by more precise sensory observations (precise likelihood model) or by forming a less precise model of the sensory context (hypo-priors model). We used a decision-under-uncertainty paradigm that manipulated uncertainty in both likelihoods and priors. Contrary to model predictions we found no differences in reliance on likelihood in autistic group (AS) compared to neurotypicals (NT) and found no differences in subjective prior variance between groups. However, we found reduced context adjustment in the AS group compared to NT. Further, the AS group showed heightened variability in their relative weighting of sensory information (vs. prior) on a trial-by-trial basis. When participants were aligned on a continuum of autistic traits, we found no associations with likelihood reliance or prior variance but found an increase in likelihood precision with autistic traits. These findings together provide empirical evidence for intact priors, precise likelihood, reduced context updating and heightened variability during sensory learning in autism.

Citing Articles

Suboptimal but intact integration of Bayesian components during perceptual decision-making in autism.

Fazioli L, Hadad B, Denison R, Yashar A Mol Autism. 2025; 16(1):2.

PMID: 39806435 PMC: 11731163. DOI: 10.1186/s13229-025-00639-3.


Disentangling the perceptual underpinnings of autism: Evidence from a face aftereffects experiment.

Hennig J, Doose A, Breier C, Soutschek A, Beyer N, Schweinberger S Autism Res. 2024; 18(2):349-361.

PMID: 39676584 PMC: 11826018. DOI: 10.1002/aur.3283.


Are we really Bayesian? Probabilistic inference shows sub-optimal knowledge transfer.

Lin C, Do T, Unsworth L, Garrido M PLoS Comput Biol. 2024; 20(1):e1011769.

PMID: 38190413 PMC: 10798629. DOI: 10.1371/journal.pcbi.1011769.


Temporal stability of Bayesian belief updating in perceptual decision-making.

Goodwin I, Hester R, Garrido M Behav Res Methods. 2023; 56(6):6349-6362.

PMID: 38129733 PMC: 11335944. DOI: 10.3758/s13428-023-02306-y.


Bayesian accounts of perceptual decisions in the nonclinical continuum of psychosis: Greater imprecision in both top-down and bottom-up processes.

Goodwin I, Kugel J, Hester R, Garrido M PLoS Comput Biol. 2023; 19(11):e1011670.

PMID: 37988398 PMC: 10697609. DOI: 10.1371/journal.pcbi.1011670.


References
1.
Gotham K, Risi S, Pickles A, Lord C . The Autism Diagnostic Observation Schedule: revised algorithms for improved diagnostic validity. J Autism Dev Disord. 2006; 37(4):613-27. DOI: 10.1007/s10803-006-0280-1. View

2.
Joseph R, Keehn B, Connolly C, Wolfe J, Horowitz T . Why is visual search superior in autism spectrum disorder?. Dev Sci. 2009; 12(6):1083-96. DOI: 10.1111/j.1467-7687.2009.00855.x. View

3.
Mamassian P . Visual Confidence. Annu Rev Vis Sci. 2017; 2:459-481. DOI: 10.1146/annurev-vision-111815-114630. View

4.
Baron-Cohen S, Ashwin E, Ashwin C, Tavassoli T, Chakrabarti B . Talent in autism: hyper-systemizing, hyper-attention to detail and sensory hypersensitivity. Philos Trans R Soc Lond B Biol Sci. 2009; 364(1522):1377-83. PMC: 2677592. DOI: 10.1098/rstb.2008.0337. View

5.
Lawson R, Rees G, Friston K . An aberrant precision account of autism. Front Hum Neurosci. 2014; 8:302. PMC: 4030191. DOI: 10.3389/fnhum.2014.00302. View