Journal of Autism and Developmental Disorders

, Volume 46, Issue 6, pp 2224–2239 | Cite as

Susceptibility to Optical Illusions Varies as a Function of the Autism-Spectrum Quotient but not in Ways Predicted by Local–Global Biases

  • Philippe A. Chouinard
  • Katy L. Unwin
  • Oriane Landry
  • Irene Sperandio
Original Paper

Abstract

Individuals with autism spectrum disorder and those with autistic tendencies in non-clinical groups are thought to have a perceptual style privileging local details over global integration. We used 13 illusions to investigate this perceptual style in typically developing adults with various levels of autistic traits. Illusory susceptibility was entered into a principal-component analysis. Only one factor, consisting of the Shepard’s tabletops and Square-diamond illusions, was found to have reduced susceptibility as a function of autistic traits. Given that only two illusions were affected and that these illusions depend mostly on the processing of within-object relational properties, we conclude there is something distinct about autistic-like perceptual functioning but not in ways predicted by a preference of local over global elements.

Keywords

Visual illusions Shepard’s tabletops illusion Visual perception Illusory susceptibility Autism-spectrum quotient (AQ) 

Supplementary material

10803_2016_2753_MOESM1_ESM.docx (14 kb)
Supplementary material 1 (DOCX 14 kb)

References

  1. Almeida, R. A., Dickinson, J. E., Maybery, M. T., Badcock, J. C., & Badcock, D. R. (2014). Enhanced global integration of closed contours in individuals with high levels of autistic-like traits. Vision Research, 103, 109–115.CrossRefPubMedGoogle Scholar
  2. Bailey, A., Le Couteur, A., Gottesman, I., Bolton, P., Simonoff, E., Yuzda, E., & Rutter, M. (1995). Autism as a strongly genetic disorder: Evidence from a British twin study. Psychological Medicine, 25(1), 63–77.CrossRefPubMedGoogle Scholar
  3. Baron-Cohen, S. (2003). The essential difference: Men, women, and the extreme male brain. London: Penquin.Google Scholar
  4. Baron-Cohen, S., Cassidy, S., Auyeung, B., Allison, C., Achoukhi, M., Robertson, S., et al. (2014). Attenuation of typical sex differences in 800 adults with autism vs. 3900 controls. PLoS ONE, 9(7), e102251.CrossRefPubMedPubMedCentralGoogle Scholar
  5. Baron-Cohen, S., & Hammer, J. (1997). Parents of children with Asperger syndrome: What is the cognitive phenotype? Journal of Cognitive Neuroscience, 9(4), 548–554.CrossRefPubMedGoogle Scholar
  6. Baron-Cohen, S., Richler, J., Bisarya, D., Gurunathan, N., & Wheelwright, S. (2003). The systemizing quotient: An investigation of adults with Asperger syndrome or high-functioning autism, and normal sex differences. Philosophical Transactions of the Royal Society of London B: Biological Sciences, 358(1430), 361–374.CrossRefPubMedPubMedCentralGoogle Scholar
  7. Baron-Cohen, S., & Wheelwright, S. (2004). The empathy quotient: An investigation of adults with Asperger syndrome or high functioning autism, and normal sex differences. Journal of Autism and Developmental Disorders, 34(2), 163–175.CrossRefPubMedGoogle Scholar
  8. Baron-Cohen, S., Wheelwright, S., Skinner, R., Martin, J., & Clubley, E. (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(1), 5–17.CrossRefPubMedGoogle Scholar
  9. Bayliss, A. P., & Tipper, S. P. (2005). Gaze and arrow cueing of attention reveals individual differences along the autism spectrum as a function of target context. British Journal of Psychology, 96(1), 95–114.CrossRefPubMedGoogle Scholar
  10. Beacher, F. D., Radulescu, E., Minati, L., Baron-Cohen, S., Lombardo, M. V., Lai, M. C., et al. (2012). Sex differences and autism: Brain function during verbal fluency and mental rotation. PLoS ONE, 7(6), e38355.CrossRefPubMedPubMedCentralGoogle Scholar
  11. Ben-Shalom, A., & Ganel, T. (2012). Object representations in visual memory: Evidence from visual illusions. Journal of Vision, 12(7), 1–11.CrossRefGoogle Scholar
  12. Bölte, S., Holtmann, M., Poustka, F., Scheurich, A., & Schmidt, L. (2007). Gestalt perception and local-global processing in high-functioning autism. Journal of Autism and Developmental Disorders, 37(8), 1493–1504.CrossRefPubMedGoogle Scholar
  13. Bölte, S., & Poustka, F. (2006). The broader cognitive phenotype of autism in parents: How specific is the tendency for local processing and executive dysfunction? Journal of Child Psychology and Psychiatry, 47(6), 639–645.CrossRefPubMedGoogle Scholar
  14. Burack, J. A., Iarocci, G., Flanagan, T. D., & Bowler, D. M. (2004). On mosaics and melting pots: Conceptual considerations of comparison and matching strategies. Journal of Autism and Developmental Disorders, 34(1), 65–73.CrossRefPubMedGoogle Scholar
  15. Chouinard, P. A., Noulty, W. A., Sperandio, I., & Landry, O. (2013). Global processing during the Müller-Lyer illusion is distinctively affected by the degree of autistic traits in the typical population. Experimental Brain Research, 230(2), 219–231.CrossRefPubMedGoogle Scholar
  16. Cook, C. M., & Saucier, D. M. (2010). Mental rotation, targeting ability and Baron-Cohen’s empathisizing-systemizing theory of sex differences. Personality and Individual Differences, 49, 712–716.CrossRefGoogle Scholar
  17. Coren, S., & Porac, C. (1978). A new analysis of life-span age trends in visual illusion. Developmental Psychology, 14(2), 193–194.CrossRefGoogle Scholar
  18. Davis, G., & Plaisted-Grant, K. (2015). Low endogenous neural noise in autism. Autism, 19(3), 351–362.CrossRefPubMedGoogle Scholar
  19. de Grave, D. D., & Bruno, N. (2010). The effect of the Müller-Lyer illusion on saccades is modulated by spatial predictability and saccadic latency. Experimental Brain Research, 203(4), 671–679.CrossRefPubMedPubMedCentralGoogle Scholar
  20. Dunn, O. J. (1961). Multiple comparisons among means. Journal of the American Statistical Association, 56, 52–64.CrossRefGoogle Scholar
  21. Frith, U. (2003). Autism: Explaining the enigma (2nd ed.). Oxford: Blackwell Publishing.Google Scholar
  22. Frith, U., & Happé, F. (1994). Autism: beyond “theory of mind”. Cognition, 50(1–3), 115–132.CrossRefPubMedGoogle Scholar
  23. Ganel, T., & Goodale, M. A. (2003). Visual control of action but not perception requires analytical processing of object shape. Nature, 426(6967), 664–667.CrossRefPubMedGoogle Scholar
  24. Gaugler, T., Klei, L., Sanders, S. J., Bodea, C. A., Goldberg, A. P., Lee, A. B., et al. (2014). Most genetic risk for autism resides with common variation. Nature Genetics, 46(8), 881–885.CrossRefPubMedPubMedCentralGoogle Scholar
  25. Gregory, R. L. (1980). Perceptions as hypotheses. Philosophical Transactions of the Royal Society of London B: Biological Sciences, 290(1038), 181–197.CrossRefPubMedGoogle Scholar
  26. Grinter, E. J., Maybery, M. T., Pellicano, E., Badcock, J. C., & Badcock, D. R. (2010). Perception of shapes targeting local and global processes in autism spectrum disorders. Journal of Child Psychology and Psychiatry, 51(6), 717–724.CrossRefPubMedGoogle Scholar
  27. Groen, Y., Fuermaier, A. B., Den Heijer, A. E., Tucha, O., & Althaus, M. (2015). The empathy and systemizing quotient: The psycho-metric properties of the Dutch version and a review of the cross-cultural stability. Journal of Autism and Developmental Disorders, 45(9), 2848–2864.CrossRefPubMedPubMedCentralGoogle Scholar
  28. Happé, F. (1996). Studying weak central coherence at low levels: Children with autism do not succumb to visual illusions. A research note. Journal of Child Psychology and Psychiatry, 37(7), 873–877.CrossRefPubMedGoogle Scholar
  29. Happé, F. (1999). Autism: Cognitive deficit or cognitive style? Trends in Cognitive Sciences, 3(6), 216–222.CrossRefPubMedGoogle Scholar
  30. Happe, F., Briskman, J., & Frith, U. (2001). Exploring the cognitive phenotype of autism: Weak “central coherence” in parents and siblings of children with autism: I. Experimental tests. Journal of Child Psychology and Psychiatry, 42(3), 299–307.CrossRefPubMedGoogle Scholar
  31. Happé, F., & Frith, U. (2006). The weak coherence account: Detail-focused cognitive style in autism spectrum disorders. Journal of Autism and Developmental Disorders, 36(1), 5–25.CrossRefPubMedGoogle Scholar
  32. Hoy, J. A., Hatton, C., & Hare, D. (2004). Weak central coherence: A cross-domain phenomenon specific to autism? Autism, 8(3), 267–281.CrossRefPubMedGoogle Scholar
  33. Hudson, M., Nijboer, T. C., & Jellema, T. (2012). Implicit social learning in relation to autistic-like traits. Journal of Autism and Developmental Disorders, 42(12), 2534–2545.CrossRefPubMedGoogle Scholar
  34. Hurst, R. M., Nelson-Gray, R. O., Mitchell, J. T., & Kwapil, T. R. (2007). The relationship of Asperger’s characteristics and schizotypal personality traits in a non-clinical adult sample. Journal of Autism and Developmental Disorders, 37(9), 1711–1720.CrossRefPubMedGoogle Scholar
  35. Jolliffe, T., & Baron-Cohen, S. (1997). Are people with autism and Asperger syndrome faster than normal on the embedded figures Test? Journal of Child Psychology and Psychiatry, 38(5), 527–534.CrossRefPubMedGoogle Scholar
  36. Kaiser, H. F. (1974). An index of factorial simplicity. Psychometrika, 39, 31–36.CrossRefGoogle Scholar
  37. Kanner, L. (1943). Autistic disturbances of affective contact. The Nervous Child, 2, 217–250.Google Scholar
  38. Lawson, R. P., Rees, G., & Friston, K. J. (2014). An aberrant precision account of autism. Frontiers in Human Neuroscience, 8, 302.CrossRefPubMedPubMedCentralGoogle Scholar
  39. McGrath, J., Johnson, K., Ecker, C., O’Hanlon, E., Gill, M., Gallagher, L., & Garavan, H. (2012). Atypical visuospatial processing in autism: Insights from functional connectivity analysis. Autism Research, 5(5), 314–330.CrossRefPubMedGoogle Scholar
  40. Mitchell, P., Mottron, L., Soulieres, I., & Ropar, D. (2010). Susceptibility to the Shepard illusion in participants with autism: Reduced top–down influences within perception? Autism Research, 3(3), 113–119.CrossRefPubMedGoogle Scholar
  41. Mitchell, P., Ropar, D., Ackroyd, K., & Rajendran, G. (2005). How perception impacts on drawings. Journal of Experimental Psychology: Human Perception and Performance, 31(5), 996–1003.PubMedGoogle Scholar
  42. Mottron, L., & Burack, J. A. (2001). Enhanced perceptual functioning in the development of autism. In J. A. Burack, T. Charman, N. Yirmiya, & P. R. Zelazo (Eds.), The development of autism: Perspectives from theory and research (pp. 131–148). Mahwah, NJ: Erlbaum.Google Scholar
  43. Mottron, L., Dawson, M., Soulieres, I., Hubert, B., & Burack, J. (2006). Enhanced perceptual functioning in autism: An update, and eight principles of autistic perception. Journal of Autism and Developmental Disorders, 36(1), 27–43.CrossRefPubMedGoogle Scholar
  44. Palermo, M. T., Pasqualetti, P., Barbati, G., Intelligente, F., & Rossini, P. M. (2006). Recognition of schematic facial displays of emotion in parents of children with autism. Autism, 10(4), 353–364.CrossRefPubMedGoogle Scholar
  45. Pellicano, E., & Burr, D. (2012). When the world becomes ‘too real’: A Bayesian explanation of autistic perception. Trends Cogn Sci, 16(10), 504–510.CrossRefPubMedGoogle Scholar
  46. Pelphrey, K. A., Sasson, N. J., Reznick, J. S., Paul, G., Goldman, B. D., & Piven, J. (2002). Visual scanning of faces in autism. Journal of Autism and Developmental Disorders, 32(4), 249–261.CrossRefPubMedGoogle Scholar
  47. Piven, J. (2001). The broad autism phenotype: A complementary strategy for molecular genetic studies of autism. American Journal of Medical Genetics, 105(1), 34–35.CrossRefPubMedGoogle Scholar
  48. Ropar, D., & Mitchell, P. (1999). Are individuals with autism and Asperger’s syndrome susceptible to visual illusions? Journal of Child Psychology and Psychiatry, 40(8), 1283–1293.CrossRefPubMedGoogle Scholar
  49. Ropar, D., & Mitchell, P. (2001). Susceptibility to illusions and performance on visuospatial tasks in individuals with autism. Journal of Child Psychology and Psychiatry, 42(4), 539–549.CrossRefPubMedGoogle Scholar
  50. Ruser, T. F., Arin, D., Dowd, M., Putnam, S., Winklosky, B., Rosen-Sheidley, B., et al. (2007). Communicative competence in parents of children with autism and parents of children with specific language impairment. Journal of Autism and Developmental Disorders, 37(7), 1323–1336.CrossRefPubMedGoogle Scholar
  51. Schwarzkopf, D. S., Song, C., & Rees, G. (2011). The surface area of human V1 predicts the subjective experience of object size. Nature Neuroscience, 14(1), 28–30.CrossRefPubMedPubMedCentralGoogle Scholar
  52. Shah, A., & Frith, U. (1983). An islet of ability in autistic children: A research note. Journal of Child Psychology and Psychiatry, 24(4), 613–620.CrossRefPubMedGoogle Scholar
  53. Soulieres, I., Zeffiro, T. A., Girard, M. L., & Mottron, L. (2011). Enhanced mental image mapping in autism. Neuropsychologia, 49(5), 848–857.CrossRefPubMedGoogle Scholar
  54. Sucksmith, E., Roth, I., & Hoekstra, R. A. (2011). Autistic traits below the clinical threshold: Re-examining the broader autism phenotype in the 21st century. Neuropsychology Review, 21(4), 360–389.CrossRefPubMedGoogle Scholar
  55. Sutherland, A., & Crewther, D. P. (2010). Magnocellular visual evoked potential delay with high autism spectrum quotient yields a neural mechanism for altered perception. Brain, 133(Pt 7), 2089–2097.CrossRefPubMedGoogle Scholar
  56. Tyler, C. W. (2011). Paradoxical perception of surfaces in the Shepard tabletop illusion. I-Perception, 2(2), 137–141.CrossRefPubMedPubMedCentralGoogle Scholar
  57. van Boxtel, J. J., & Lu, H. (2013). A predictive coding perspective on autism spectrum disorders. Frontiers in Psychology, 4, 19.PubMedPubMedCentralGoogle Scholar
  58. Van de Cruys, S., Evers, K., Van der Hallen, R., Van Eylen, L., Boets, B., de-Wit, L., & Wagemans, J. (2014). Precise minds in uncertain worlds: Predictive coding in autism. Psychological Review, 121(4), 649–675.CrossRefPubMedGoogle Scholar
  59. Van der Hallen, R., Evers, K., Brewaeys, K., Van den Noortgate, W., & Wagemans, J. (2015). Global processing takes time: A meta-analysis on local-global visual processing in ASD. Psychological Bulletin, 141(3), 549–573.CrossRefPubMedGoogle Scholar
  60. van Zoest, W., & Hunt, A. R. (2011). Saccadic eye movements and perceptual judgments reveal a shared visual representation that is increasingly accurate over time. Vision Research, 51(1), 111–119.CrossRefPubMedGoogle Scholar
  61. von Helmholtz, H. (1867). Leipzig. Berlin, Germany: Voss.Google Scholar
  62. Voyer, D., Voyer, S., & Bryden, M. P. (1995). Magnitude of sex differences in spatial abilities: A meta-analysis and consideration of critical variables. Psychological Bulletin, 117(2), 250–270.CrossRefPubMedGoogle Scholar
  63. Walter, E., Dassonville, P., & Bochsler, T. M. (2009). A specific autistic trait that modulates visuospatial illusion susceptibility. Journal of Autism and Developmental Disorders, 39(2), 339–349.CrossRefPubMedPubMedCentralGoogle Scholar
  64. Wheelwright, S., Baron-Cohen, S., Goldenfeld, N., Delaney, J., Fine, D., Smith, R., et al. (2006). Predicting autism spectrum quotient (AQ) from the systemizing quotient-revised (SQ-R) and empathy quotient (EQ). Brain Research, 1079(1), 47–56.CrossRefPubMedGoogle Scholar
  65. Whitehouse, A. J., Barry, J. G., & Bishop, D. V. (2007). The broader language phenotype of autism: A comparison with specific language impairment. Journal of Child Psychology and Psychiatry, 48(8), 822–830.CrossRefPubMedPubMedCentralGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2016

Authors and Affiliations

  • Philippe A. Chouinard
    • 1
  • Katy L. Unwin
    • 2
  • Oriane Landry
    • 1
  • Irene Sperandio
    • 3
  1. 1.School of Psychology and Public HealthLa Trobe UniversityBendigoAustralia
  2. 2.School of PsychologyCardiff UniversityCardiffWales, United Kingdom
  3. 3.School of PsychologyUniversity of East AngliaNorwichEngland, United Kingdom

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