An amorphous collection of black and white patches (so-called Mooney images) can be perceived dramatically differently before versus after exposure to the natural source image. Prior experience causes the patches to (re)organize and fit together in a meaningful whole. Given recent hypotheses on a weaker role of priors in perception in individuals with autism spectrum disorders (ASD), we looked at improvements in recognition accuracy for Mooney images, before and after exposure to their source image, in typically developing (TD) individuals varying in ASD-like traits, and in a clinical group of adolescents with ASD (versus matched TD sample). We found typical prior-based performance improvements irrespective of ASD-like traits or ASD diagnosis, suggesting that the fast formation and application of specific priors is preserved in ASD. Together with earlier studies reporting intact use of other types of perceptual priors, these findings narrow down the candidate Bayesian accounts that are plausible for ASD.
AlmeidaR. A.DickinsonJ. E.MayberyM. T.BadcockJ. C.BadcockD. R. (2014). Enhanced global integration of closed contours in individuals with high levels of autistic-like traits. Vision Research, 103, 109–115. doi:10.1016/j.visres.2014.08.015
2.
American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (5th ed.). Washington, DC: Author.
3.
AruJ.RutikuR.WibralM.SingerW.MelloniL. (2016). Early effects of previous experience on conscious perception. Neuroscience of Consciousness, 2016, niw004. doi:10.1093/nc/niw004
4.
BalstersJ. H.AppsM. A. J.BolisD.LehnerR.GallagherL.WenderothN. (2017). Disrupted prediction errors index social deficits in autism spectrum disorder. Brain, 140, 235–246. doi:10.1093/brain/aww287
5.
BarnesK. A.HowardJ. H.Jr.HowardD. V.GilottyL.KenworthyL.GaillardW. D.VaidyaC. J. (2008). Intact implicit learning of spatial context and temporal sequences in childhood autism spectrum disorder. Neuropsychology, 22, 563–570. doi:10.1037/0894-4105.22.5.563
6.
Baron-CohenS.WheelwrightS.SkinnerR.MartinJ.ClubleyE. (2001). The Autism-Spectrum Quotient (AQ): Evidence from Asperger syndrome/high-functioning autism, males and females, scientists and mathematicians. Journal of Autism and Developmental Disorders, 31, 5–17. doi:10.1023/A:1005653411471
7.
BatesD.MächlerM.BolkerB. (2012). Fitting linear mixed-effects models using lme4. Journal of Statistical Software, (1), 1–48. doi:10.18637/jss.v067.i01
8.
BecchioC.MariM.CastielloU. (2010). Perception of shadows in children with autism spectrum disorders. PLOS ONE, 5, e10582. doi:10.1371/journal.pone.0010582
9.
BrownJ.AczelB.JiménezL.KaufmanS. B.GrantK. P. (2010). Intact implicit learning in autism spectrum conditions. Quarterly Journal of Experimental Psychology, 63, 1789–1812. doi:10.1080/17470210903536910
10.
BuckinghamG.MichelakakisE. E.RajendranG. (2016). The influence of prior knowledge on perception and action: Relationships to autistic traits. Journal of Autism and Developmental Disorders, 46, 1716–1724. doi:10.1007/s10803-016-2701-0
11.
ChambonV.FarrerC.PacherieE.JacquetP. O.LeboyerM.ZallaT. (2016). Reduced sensitivity to social priors during action prediction in adults with autism spectrum disorders. Cognition, 160, 17–26. doi:10.1016/j.cognition.2016.12.005
12.
ChouinardP. A.UnwinK. L.LandryO.SperandioI. (2016). Susceptibility to optical illusions varies as a function of the Autism-Spectrum Quotient but not in ways predicted by local–global biases. Journal of Autism and Developmental Disorders, 46, 2224–2239. doi:10.1007/s10803-016-2753-1
13.
ConstantinoJ. N.GruberC. P. (2007). Social Responsiveness Scale (SRS). Los Angeles, CA: Western Psychological Services.
14.
ConstantinoJ. N.ToddR. D. (2003). Autistic traits in the general population: A twin study. Archives of General Psychiatry, 60, 524–530. doi:10.1001/archpsyc.60.5.524
15.
CrespiB.LeachE.DinsdaleN.MokkonenM.HurdP. (2016). Imagination in human social cognition, autism, and psychotic-affective conditions. Cognition, 150, 181–199. doi:10.1016/j.cognition.2016.02.001
16.
CroydonA.KaraminisT.NeilL.BurrD.PellicanoE. (2017). The light-from-above prior is intact in autistic children. Journal of Experimental Child Psychology, 161, 113–125. doi:10.1016/j.jecp.2017.04.005
17.
de BildtA.SytemaS.van LangN. D. J.MinderaaR. B.van EngelandH.de JongeM. V. (2009). Evaluation of the ADOS revised algorithm: The applicability in 558 Dutch children and adolescents. Journal of Autism and Developmental Disorders, 39, 1350–1358. doi:10.1007/s10803-009-0749-9
18.
DolanR. J.FinkG. R.RollsE.BoothM.HolmesA.FrackowiakR. S. J.FristonK. J. (1997). How the brain learns to see objects and faces in an impoverished context. Nature, 389, 596–599. doi:10.1038/39309
19.
EgoC.BonhommeL.OrbandeXivryJ.-J.Da FonsecaD.LefèvreP.MassonG. S.DeruelleC. (2016). Behavioral characterization of prediction and internal models in adolescents with autistic spectrum disorders. Neuropsychologia, 91, 335–345. doi:10.1016/j.neuropsychologia.2016.08.021
20.
FletcherP. C.FrithC. D. (2009). Perceiving is believing: A Bayesian approach to explaining the positive symptoms of schizophrenia. Nature Reviews Neuroscience, 10, 48–58. doi:10.1038/nrn2536
21.
GorlinS.MengM.SharmaJ.SugiharaH.SurM.SinhaP. (2012). Imaging prior information in the brain. Proceedings of the National Academy of Sciences USA, 109, 7935–7940. doi:10.1073/pnas.1111224109
22.
GothamK.RisiS.PicklesA.LordC. (2007). The Autism Diagnostic Observation Schedule: Revised algorithms for improved diagnostic validity. Journal of Autism and Developmental Disorders, 37, 613–627. doi:10.1007/s10803-006-0280-1
23.
GrutznerC.UhlhaasP. J.GencE.KohlerA.SingerW.WibralM. (2010). Neuroelectromagnetic correlates of perceptual closure processes. Journal of Neuroscience, 30, 8342–8352. doi:10.1523/JNEUROSCI.5434-09.2010
24.
HappéF.FrithU. (2006). The weak coherence account: Detail-focused cognitive style in autism spectrum disorders. Journal of Autism and Developmental Disorders, 36, 5–25. doi:10.1007/s10803-005-0039-0
25.
HornB. K. P. (1980). Derivation of invariant scene characteristics from images. In Proceedings of the May 19–22, 1980, National Computer Conference (pp. 371–376). New York, NY: ACM. doi:10.1145/1500518.1500579
26.
HsiehP.-J.VulE.KanwisherN. (2010). Recognition alters the spatial pattern of fMRI activation in early retinotopic cortex. Journal of Neurophysiology, 103, 1501–1507. doi:10.1152/jn.00812.2009
27.
ImamogluF.KahntT.KochC.HaynesJ.-D. (2012). Changes in functional connectivity support conscious object recognition. NeuroImage, 63, 1909–1917. doi:10.1016/j.neuroimage.2012.07.056
28.
JachimS.WarrenP. A.McLoughlinN.GowenE. (2015). Collinear facilitation and contour integration in autism: Evidence for atypical visual integration. Frontiers in Human Neuroscience, 9, 115. doi:10.3389/fnhum.2015.00115
29.
KeitaL.MottronL.DawsonM.BertoneA. (2011). Atypical lateral connectivity: A neural basis for altered visuospatial processing in autism. Biological Psychiatry, 70, 806–811. doi:10.1016/j.biopsych.2011.07.031
LawsonR. P.ReesG.FristonK. J. (2014). An aberrant precision account of autism. Frontiers in Human Neuroscience, 8, 302. doi:10.3389/fnhum.2014.00302
32.
LeeT. S.MumfordD. (2003). Hierarchical Bayesian inference in the visual cortex. Journal of the Optical Society of America A: Optics, Image Science, and Vision, 20, 1434–1448. doi:10.1364/JOSAA.20.001434
LothE.GómezJ. C.HappéF. (2010). When seeing depends on knowing: Adults with autism spectrum conditions show diminished top-down processes in the visual perception of degraded faces but not degraded objects. Neuropsychologia, 48, 1227–1236. doi:10.1016/j.neuropsychologia.2009.12.023
35.
ManningC.NeilL.KaraminisT.PellicanoE. (2015). The effects of grouping on speed discrimination thresholds in adults, typically developing children, and children with autism. Journal of Vision, 15(11), 17. doi:10.1167/15.11.17
36.
MayerA.SchwiedrzikC. M.WibralM.SingerW.MelloniL. (2016). Expecting to see a letter: Alpha oscillations as carriers of top-down sensory predictions. Cerebral Cortex, 26, 3146–3160. doi:10.1093/cercor/bhv146
37.
MilneE.ScopeA. (2008). Are children with autistic spectrum disorders susceptible to contour illusions?British Journal of Developmental Psychology, 26, 91–102. doi:10.1348/026151007X202509
38.
MitchellP.MottronL.SoulieresI.RoparD. (2010). Susceptibility to the Shepard illusion in participants with autism: Reduced top-down influences within perception?Autism Research, 3, 113–119. doi:10.1002/aur.130
39.
MolesworthC.ChevallierC.HappéF.HamptonJ. A. (2015). Children with autism do not show sequence effects with auditory stimuli. Journal of Experimental Psychology. General, 144, 48–57. doi:10.1037/a0038204
40.
MooneyC. M. (1957). Age in the development of closure ability in children. Canadian Journal of Psychology/Revue Canadienne de Psychologie, 11, 219–226. doi:10.1037/h0083717
41.
MottronL.BellevilleS.MenardE. (1999). Local bias in autistic subjects as evidenced by graphic tasks: Perceptual hierarchization or working memory deficit?Journal of Child Psychology and Psychiatry, 40, 743–755.
42.
MottronL.BurackJ. A.IarocciG.BellevilleS.EnnsJ. T. (2003). Locally oriented perception with intact global processing among adolescents with high-functioning autism: Evidence from multiple paradigms. Journal of Child Psychology and Psychiatry, 44, 904–913.
43.
MottronL.BurackJ. A.StauderJ. E.RobaeyP. (1999). Perceptual processing among high-functioning persons with autism. Journal of Child Psychology and Psychiatry, 40, 203–211.
44.
MottronL.DawsonM.SoulièresI.HubertB.BurackJ. (2006). Enhanced perceptual functioning in autism: An update, and eight principles of autistic perception. Journal of Autism and Developmental Disorders, 36, 27–43.
45.
NoensI.DelaMarcheW.ScholteE. (2012). SRS-A-Screeningslijst voor autismespectrumstoornissen. Handleiding [SRS-A-Screening list for Autism Spectrum Disorders. Manual.] Leuven, Belgium: KU Leuven. Retrieved from http://lirias.kuleuven.be/handle/123456789/373535
46.
NordhjemB.Kurman PetrozzelliC. I.GravelN.RenkenR. J.CornelissenF. W. (2015). Eyes on emergence: Fast detection yet slow recognition of emerging images. Journal of Vision, 15(9), 8. doi:10.1167/15.9.8
47.
PalmerC. J.PatonB.EnticottP. G.HohwyJ. (2015). “Subtypes” in the presentation of autistic traits in the general adult population. Journal of Autism and Developmental Disorders, 45, 1291–1301. doi:10.1007/s10803-014-2289-1
48.
PellP. J.MareschalI.CalderA. J.von dem HagenE. A. H.CliffordC. W. G.Baron-CohenS.EwbankM. P. (2016). Intact priors for gaze direction in adults with high-functioning autism spectrum conditions. Molecular Autism, 7, 25. doi:10.1186/s13229-016-0085-9
49.
PellicanoE.BurrD. (2012). When the world becomes “too real”: A Bayesian explanation of autistic perception. Trends in Cognitive Sciences, 16, 504–510. doi:10.1016/j.tics.2012.08.009
50.
PlaistedK. C. (2001). Reduced generalization in autism: An alternative to weak central coherence. In BurackJ. A.CharmanT.YirmiyaN.ZelazoP. R. (Eds.), The development of autism: Perspectives from theory and research (pp. 149–169). Mahwah, NJ: Lawrence Erlbaum.
RobinsonE. B.MunirK.MunafòM. R.HughesM.McCormickM. C.KoenenK. C. (2011). Stability of autistic traits in the general population: Further evidence for a continuum of impairment. Journal of the American Academy of Child and Adolescent Psychiatry, 50, 376–384. doi:10.1016/j.jaac.2011.01.005
53.
RuzichE.AllisonC.SmithP. (2015). Measuring autistic traits in the general population: A systematic review of the Autism-Spectrum Quotient (AQ) in a nonclinical population sample of 6,900. Molecular Autism, 6, 2. Retrieved from http://molecularautism.biomedcentral.com/articles/10.1186/2040-2392-6-2
54.
SamahaJ.BoutonnetB.LupyanG. (2016). How prior knowledge prepares perception: Prestimulus oscillations carry perceptual expectations and influence early visual responses. bioRxiv. doi:10.1101/076687
55.
SchmackK.Gòmez-CarrillodeCastroA.RothkirchM.SekutowiczM.RösslerH.HaynesJ.-D., . . . SterzerP. (2013). Delusions and the role of beliefs in perceptual inference. Journal of Neuroscience, 33, 13701–13712. doi:10.1523/JNEUROSCI.1778-13.2013
56.
SerièsP.SeitzA. R. (2013). Learning what to expect (in visual perception). Frontiers in Human Neuroscience, 7, 668. doi:10.3389/fnhum.2013.00668
SoulièresI.MottronL.GiguèreG.LarochelleS. (2011). Category induction in autism: Slower, perhaps different, but certainly possible. Quarterly Journal of Experimental Psychology, 64, 311–327. doi:10.1080/17470218.2010.492994
59.
SoulièresI.MottronL.SaumierD.LarochelleS. (2007). Atypical categorical perception in autism: Autonomy of discrimination?Journal of Autism and Developmental Disorders, 37, 481–490. doi:10.1007/s10803-006-0172-4
60.
SpanòG.PetersonM. A.NadelL.RhoadsC.EdginJ. O. (2015). Seeing can be remembering interactions between memory and perception in typical and atypical development. Clinical Psychological Science, 4, 254–271. doi:10.1177/2167702615590997
61.
TeufelC.SubramaniamN.DoblerV.PerezJ.FinnemannJ.MehtaP. R., . . . FletcherP. C. (2015). Shift toward prior knowledge confers a perceptual advantage in early psychosis and psychosis-prone healthy individuals. Proceedings of the National Academy of Sciences USA, 112, 13401–13406. doi:10.1073/pnas.1503916112
62.
TuriM.KaraminisT.PellicanoE.BurrD. (2016). No rapid audiovisual recalibration in adults on the autism spectrum. Scientific Reports, 6, 21756. doi:10.1038/srep21756
63.
Van de CruysS.de-WitL.EversK.BoetsB.WagemansJ. (2013). Weak priors versus overfitting of predictions in autism: Reply to Pellicano and Burr (TICS, 2012). I-Perception, 4, 95–97. Retrieved from http://i-perception.perceptionweb.com/journal/I/article/i0580ic
64.
Van de CruysS.EversK.Van der HallenR.Van EylenL.BoetsB.de-WitL.WagemansJ. (2014). Precise minds in uncertain worlds: Predictive coding in autism. Psychological Review, 121, 649–675. doi:10.1037/a0037665
65.
Van de CruysS.Van der HallenR.WagemansJ. (2017). Disentangling signal and noise in autism spectrum disorder. Brain and Cognition, 112, 78–83. doi:10.1016/j.bandc.2016.08.004
66.
VandenbrouckeM. W. G.ScholteH. S.van EngelandH.LammeV. A. F.KemnerC. (2009). A new approach to the study of detail perception in autism spectrum disorder (ASD): Investigating visual feedforward, horizontal and feedback processing. Vision Research, 49, 1006–1016. doi:10.1016/j.visres.2007.12.017
67.
Van der HallenR.EversK.BrewaeysK.Van den NoortgateW.WagemansJ. (2015). Global processing takes time: A meta-analysis on local-global visual processing in ASD. Psychological Bulletin, 141, 549–573.
68.
VerhallenR. J.BostenJ. M.GoodbournP. T.BargaryG.Lawrance-OwenA. J.MollonJ. D. (2014). An online version of the Mooney Face Test: Phenotypic and genetic associations. Neuropsychologia, 63, 19–25. doi:10.1016/j.neuropsychologia.2014.08.011
69.
WechslerD. (1991). WISC-III: Wechsler Intelligence Scale for Children: Manual. San Antonio, TX: Psychological Corporation.
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