Journal of Autism and Developmental Disorders

, Volume 44, Issue 3, pp 664–673 | Cite as

Bottom-Up Attention Orienting in Young Children with Autism

  • Dima Amso
  • Sara Haas
  • Elena Tenenbaum
  • Julie Markant
  • Stephen J. Sheinkopf
Original Paper


We examined the impact of simultaneous bottom-up visual influences and meaningful social stimuli on attention orienting in young children with autism spectrum disorders (ASDs). Relative to typically-developing age and sex matched participants, children with ASDs were more influenced by bottom-up visual scene information regardless of whether social stimuli and bottom-up scene properties were congruent or competing. This initial reliance on bottom-up strategies correlated with severity of social impairment as well as receptive language impairments. These data provide support for the idea that there is enhanced reliance on bottom-up attention strategies in ASDs, and that this may have a negative impact on social and language development.


Bottom-up attention Saliency Visual attention Autism Eye tracking Social attention 



Special gratitude to the Center for the Study of Children at Risk at Brown University and the children and families who participated in this research. Also thanks to the James S. McDonnell Award in Human Cognition (DA) and Autism Speaks Translational Postdoctoral Fellowship (ET).


  1. Amso, D., & Johnson, S. P. (2006). Learning by selection: Visual search and object perception in young infants. Developmental Psychology, 42(6), 1236–1245.PubMedCrossRefGoogle Scholar
  2. Bayley, N. (2005). Bayley scales of infant development (3rd ed.). San Antonio: PsychCorp.Google Scholar
  3. Bertone, A., Mottron, L., Jelenic, P., & Faubert, J. (2005). Enhanced and diminished visuospatial information processing in autism depends on stimulus complexity. Brain, 128, 2430–2441.PubMedCrossRefGoogle Scholar
  4. Brooks, R., & Meltzoff, A. N. (2005). The development of gaze following and its relation to language. Developmental Science, 8(6), 535–543.PubMedCentralPubMedCrossRefGoogle Scholar
  5. Brooks, R., & Meltzoff, A. N. (2008). Infant gaze following and pointing predict accelerated vocabulary growth through two years of age: A longitudinal, growth curve modeling study. Journal of Child Language, 35(1), 207–220.PubMedCrossRefGoogle Scholar
  6. Brown, C., Gruber, T., Ripon, G., Brock, J., & Boucher, J. (2005). Gamma abnormalities during perception of illusory figures in autism. Cortex, 41(2005), 364–376.PubMedCrossRefGoogle Scholar
  7. Carpenter, M., Nagell, K., & Tomasello, M. (1998). Social cognition, joint attention, and communicative competence from 9 to 15 months of age. Monographs of the Society for Research in Child Development, 63(4), i–vi, 1–143.Google Scholar
  8. Craik, F. I. M., Govoni, R., Naveh-Benjamin, M., & Anderson, N. D. (1996). The effects of divided attention on encoding and retrieval processes in human memory. Journal of Experimental Psychology: General, 125, 159–180.CrossRefGoogle Scholar
  9. Dalton, K. M., Nacewicz, B. M., Johnstone, T., Schaefer, H. S., Gernsbacher, M. A., Goldsmith, H. H., et al. (2005). Gaze fixation and the neural circuitry of face processing in autism. Nature Neuroscience, 8(4), 519–526.PubMedGoogle Scholar
  10. Desimone, R., & Duncan, J. (1995). Neural mechanisms of selective visual attention. Annual Reviews of Neuroscience, 18, 193–222.CrossRefGoogle Scholar
  11. Elison, J. T., Paterson, S. J., Wolff, J. J., Reznick, J. S., Sasson, N. J., Gu, H., et al. (2013). White matter microstructure and atypical visual orienting in 7-month-olds at risk for autism. American Journal of Psychiatry, 170(8), 899–908.Google Scholar
  12. Elsabbagh, M., Volein, A., Holmboe, K., Tucker, L., Csibra, G., Baron-Cohen, S., et al. (2009). Visual orienting in the early broader autism phenotype: Disengagement and facilitation. Journal of Child Psychological Psychiatry, 50(5), 637–642.Google Scholar
  13. Franklin, A., Sowden, P., Burley, R., Notman, L., & Alder, E. (2008). Color perception in children with autism. Journal of Autism and Developmental Disorders, 38, 1837–1847.PubMedCrossRefGoogle Scholar
  14. Freeth, M., Foulsham, T., & Chapman, P. (2011). The influence of visual saliency on fixation patterns in individuals with Autism Spectrum Disorders. Neuropsychologia, 49(1), 156–160.PubMedCrossRefGoogle Scholar
  15. Gotham, K., Risi, S., Pickles, A., & Lord, C. (2007). The autism diagnostic observation schedule: Revised algorithms for improved diagnostic validity. Journal of Autism and Developmental Disorders, 37(4), 613–627.PubMedCrossRefGoogle Scholar
  16. Itti, L., & Koch, C. (2001). Computational modeling of visual attention. Nature Reviews Neuroscience, 2, 194–203.PubMedCrossRefGoogle Scholar
  17. Joseph, R., Keehn, B., Connolly, C., Wolfe, J. M., & Horowitz, T. S. (2009). Why is visual search superior in autism spectrum disorder? Developmental Science, 12, 1083–1096.PubMedCrossRefGoogle Scholar
  18. Kaldy, Z., Kraper, C., Carter, A. S., & Blaser, E. (2011). Toddlers with autism spectrum disorder are more successful at visual search than typically developing toddlers. Developmental Science, 14(5), 980–988.PubMedCentralPubMedCrossRefGoogle Scholar
  19. Kanner, L. (1943). Autistic disturbances of affective contact. Nervous Child, 2, 217–250.Google Scholar
  20. Keehn, B., Brenner, L., Palmer, E., Lincoln, A. J., & Müller, R. (2008). Functional brain organization for visual search in ASD. Journal of the International Neuropsychiatric Society, 14, 990–1003.CrossRefGoogle Scholar
  21. Klin, A., Jones, W., Schultz, R., Volkmar, F., & Cohen, D. (2002). Defining and quantifying the social phenotype in autism. American Journal of Psychiatry, 159(6), 895–908.PubMedCrossRefGoogle Scholar
  22. Koch, C., & Ullman, S. (1985). Shifts in selective visual attention: Towards the underlying neural circuitry. Human Neurobiology, 4, 219–227.PubMedGoogle Scholar
  23. Lord, C., Risi, S., Lambrecht, L., Cook, E. H., Leventhal, B. L., DiLavore, P. C., et al. (2000). The autism diagnostic observation schedule-generic: A standard measure of social and communication deficits associated with the spectrum of autism. Journal of Autism and Developmental Disorders, 30(3), 205–223.PubMedCrossRefGoogle Scholar
  24. Markant, J., & Amso, D. (2013). Selective memories: Infants’ encoding is enhanced in selection via suppression. Developmental Science. doi: 10.1111/desc.12084.
  25. Morales, M., Mundy, P., Delgado, C. E. F., Yale, M., Messinger, D., Neal, R., et al. (2000). Responding to joint attention across the 6- through 24-month age period and early language acquisition. Journal of Applied Developmental Psychology, 21(3), 283–298.CrossRefGoogle Scholar
  26. 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, 27–43.PubMedCrossRefGoogle Scholar
  27. Mundy, P., Block, J., Delgado, C., Pomares, Y., Van Hecke, A. V., & Parlade, M. V. (2007). Individual differences and the development of joint attention in infancy. Child Development, 78(3), 938–954.PubMedCentralPubMedCrossRefGoogle Scholar
  28. Niebur, E., & Koch, C. (1996). Control of selective visual attention: Modeling the ‘where’ pathway. In D. Touretzky, M. Mozer, & M. Hasselmo (Eds.), Neural information processing systems (pp. 802–808). Cambridge, MA: MIT Press.Google Scholar
  29. O’Riordan, M., & Plaisted, K. (2001). Enhanced discrimination in autism. Journal of Experimental Psycholology, 54A, 961–979.CrossRefGoogle Scholar
  30. Osterling, J., & Dawson, G. (1994). Early recognition of children with autism: A study of first birthday home videotapes. Journal of Autism and Developmental Disorders, 24(3), 247–257.PubMedCrossRefGoogle Scholar
  31. Parkhurst, D., Law, K., & Niebur, E. (2002). Modeling the role of salience in the allocation of overt visual selective attention. Vision Research, 42, 107–123.PubMedCrossRefGoogle Scholar
  32. Schlesinger, M., Amso, D., & Johnson, S. P. (2007). Simulating the role of visual selective attention during the development of perceptual completion. Developmental Science, 15(6), 739–752.CrossRefGoogle Scholar
  33. Sigman, M., Mundy, P., Sherman, T., & Ungerer, J. (1986). Social interactions of autistic, mentally retarded and normal children and their caregivers. Journal of Child Psychology and Psychiatry, 27(5), 647–655.PubMedCrossRefGoogle Scholar
  34. Treisman, A., & Gelade, G. (1980). A feature-integration theory of attention. Cognitive Psychology, 12(1), 97–136.PubMedCrossRefGoogle Scholar
  35. Walther, D., & Koch, C. (2006). Modeling attention to salient proto-objects. Neural Networks, 19(9), 1395–1407.PubMedCrossRefGoogle Scholar
  36. Wang, J., Clementz, B. A., & Keil, A. (2007). The neural correlates of feature-based selective attention when viewing spatially and temporally overlapping images. Neuropsychologia, 45, 1393–1399.PubMedCentralPubMedCrossRefGoogle Scholar
  37. Wechsler, D. (2002). Wechsler preschool and primary scale of intelligence, third edition (WPPSI-III). San Antonio: Pearson.Google Scholar
  38. Wolfe, J. M. (1994). Guided search 2.0. A revised model of visual search. Psychology Bulletin and Review, 1(2), 202–238.CrossRefGoogle Scholar
  39. Zimmerman, I. L., Steiner, V. G., & Pond, R. E. (2002). Preschool language scale, fourth edition (PLS-4). San Antonio: Pearson.Google Scholar

Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  • Dima Amso
    • 1
  • Sara Haas
    • 1
  • Elena Tenenbaum
    • 1
    • 2
  • Julie Markant
    • 1
  • Stephen J. Sheinkopf
    • 2
  1. 1.Department of Cognitive, Linguistic, and Psychological SciencesBrown UniversityProvidenceUSA
  2. 2.Center for the Study of Children at Risk, Warren Alpert Medical SchoolBrown UniversityProvidenceUSA

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