Literature DB >> 36104435

Perceptual decision-making in autism as assessed by "spot the difference" visual cognition tasks.

Simon Baron-Cohen1,2, Owen Parsons1,2, Nazia Jassim3,4, Adrian M Owen5,6, Paula Smith1, John Suckling2, Rebecca P Lawson7.   

Abstract

Discriminating between similar figures proves to be a remarkably demanding task due to the limited capacity of our visual cognitive processes. Here we examine how perceptual inference and decision-making are modulated by differences arising from neurodiversity. A large sample of autistic (n = 140) and typical (n = 147) participants completed two forced choice similarity judgement tasks online. Each task consisted of "match" (identical figures) and "mismatch" (subtle differences between figures) conditions. Signal detection theory analyses indicated a response bias by the autism group during conditions of uncertainty. More specifically, autistic participants were more likely to choose the "mismatch" option, thus leading to more hits on the "mismatch" condition, but also more false alarms on the "match" condition. These results suggest differences in response strategies during perceptual decision-making in autism.
© 2022. The Author(s).

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Year:  2022        PMID: 36104435      PMCID: PMC9474452          DOI: 10.1038/s41598-022-19640-4

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.996


  51 in total

Review 1.  Visual perception: Learning to see through noise.

Authors:  A Hurlbert
Journal:  Curr Biol       Date:  2000-03-23       Impact factor: 10.834

2.  "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician.

Authors:  M F Folstein; S E Folstein; P R McHugh
Journal:  J Psychiatr Res       Date:  1975-11       Impact factor: 4.791

3.  Disentangling signal and noise in autism spectrum disorder.

Authors:  Sander Van de Cruys; Ruth Van der Hallen; Johan Wagemans
Journal:  Brain Cogn       Date:  2016-09-17       Impact factor: 2.310

Review 4.  Precise minds in uncertain worlds: predictive coding in autism.

Authors:  Sander Van de Cruys; Kris Evers; Ruth Van der Hallen; Lien Van Eylen; Bart Boets; Lee de-Wit; Johan Wagemans
Journal:  Psychol Rev       Date:  2014-10       Impact factor: 8.934

5.  Some clarifications on neural noise and sensory sensitivities in Autism.

Authors:  David R Simmons
Journal:  Cogn Neurosci       Date:  2019-04-18       Impact factor: 3.065

6.  Fractionating human intelligence.

Authors:  Adam Hampshire; Roger R Highfield; Beth L Parkin; Adrian M Owen
Journal:  Neuron       Date:  2012-12-20       Impact factor: 17.173

7.  A new step towards understanding Embedded Figures Test performance in the autism spectrum: the radial frequency search task.

Authors:  Renita A Almeida; J Edwin Dickinson; Murray T Maybery; Johanna C Badcock; David R Badcock
Journal:  Neuropsychologia       Date:  2009-09-26       Impact factor: 3.139

8.  An islet of ability in autistic children: a research note.

Authors:  A Shah; U Frith
Journal:  J Child Psychol Psychiatry       Date:  1983-10       Impact factor: 8.982

Review 9.  Noise in the nervous system.

Authors:  A Aldo Faisal; Luc P J Selen; Daniel M Wolpert
Journal:  Nat Rev Neurosci       Date:  2008-04       Impact factor: 34.870

10.  Common circuit defect of excitatory-inhibitory balance in mouse models of autism.

Authors:  Nadine Gogolla; Jocelyn J Leblanc; Kathleen B Quast; Thomas C Südhof; Michela Fagiolini; Takao K Hensch
Journal:  J Neurodev Disord       Date:  2009-07-11       Impact factor: 4.025

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