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Multiple Object Tracking Reveals Object-Based Grouping Interference in Children with ASD

  • S.I. : Local vs. Global processing in Autism Spectrum Disorders
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Abstract

The multiple object tracking (MOT) paradigm has proven its value in targeting a number of aspects of visual cognition. This study used MOT to investigate the effect of object-based grouping, both in children with and without autism spectrum disorder (ASD). A modified MOT task was administered to both groups, who had to track and distinguish four targets that moved randomly amongst four distracters, irrespective of the grouping condition. No group difference was revealed between children with and without ASD: both showed adequate MOT abilities and a similar amount of grouping interference. Implications of the current result are considered for previous MOT studies, the developmental trajectory of perceptual grouping, and the idea of heightened sensitivity to task characteristics in ASD.

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Notes

  1. One could argue that all types of grouping used by Scholl et al. (2001) are forms of object-based grouping, even those where target and distractor were grouped by as little as a dotted line, and that merely the precise strength by which a perceptual object (or proto-object) is generated, varies. However, for clarity reasons, we will use the term object-based grouping only to refer to those types of grouping that actually generate the percept of a single 3D object.

References

  • American Psychiatric Association. (2000). Diagnostic and statistical manual of mental disorders (4th ed., text rev.). Washington: Author.

    Google Scholar 

  • American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders: DSM-5. Washington: American Psychiatric Association.

    Book  Google Scholar 

  • Dakin, S., & Frith, U. (2005). Vagaries of visual perception in autism. Neuron, 48(3), 497–507. doi:10.1016/j.neuron.2005.10.018.

    Article  PubMed  Google Scholar 

  • De Bildt, A., Sytema, S., van Lang, N. D. J., Minderaa, R. B., van Engeland, H., & de Jonge, M. V. (2009). Evaluation of the ADOS revised algorithm: The applicability in 558 Dutch children and adolescents. Journal of Autism and Developmental Disorders, 39(9), 1350–1358. doi:10.1007/s10803-009-0749-9.

    Article  PubMed  PubMed Central  Google Scholar 

  • Eriksen, C. W., & James, J. D. S. (1986). Visual attention within and around the field of focal attention: A zoom lens model. Perception and Psychophysics, 40(4), 225–240. doi:10.3758/BF03211502.

    Article  PubMed  Google Scholar 

  • Evers, K., de-Wit, L., Van der Hallen, R., Haesen, B., Steyaert, J., Noens, I., & Wagemans, J. (2014). Brief report: Reduced grouping interference in children with ASD: Evidence from a multiple object tracking task. Journal of Autism and Developmental Disorders, 44(7), 1779–1787. doi:10.1007/s10803-013-2031-4.

    PubMed  Google Scholar 

  • Frith, U. (1989). Autism: Explaining the enigma. Oxford, Cambridge: Basil Blackwell.

    Google Scholar 

  • Frith, U., & Happé, F. (1994). Autism: Beyond “theory of mind”. Cognition, 50(1–3), 115–132.

    Article  PubMed  Google Scholar 

  • Gotham, K., Risi, S., Pickles, A., & Lord, C. (2006). The Autism Diagnostic Observation Schedule: Revised algorithms for improved diagnostic validity. Journal of Autism and Developmental Disorders, 37(4), 613–627. doi:10.1007/s10803-006-0280-1.

    Article  PubMed  Google Scholar 

  • Happé, F., & Booth, R. (2008). The power of the positive: Revisiting weak coherence in autism spectrum disorders. The Quarterly Journal of Experimental Psychology, 61(1), 50–63. doi:10.1080/17470210701508731.

    Article  PubMed  Google Scholar 

  • 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. doi:10.1007/s10803-005-0039-0.

    Article  PubMed  Google Scholar 

  • Koldewyn, K., Jiang, Y. V., Weigelt, S., & Kanwisher, N. (2013a). Global/local processing in autism: Not a disability, but a disinclination. Journal of Autism and Developmental Disorders,. doi:10.1007/s10803-013-1777-z.

    Google Scholar 

  • Koldewyn, K., Weigelt, S., Kanwisher, N., & Jiang, Y. (2013b). Multiple object tracking in autism spectrum disorders. Journal of Autism and Developmental Disorders, 43(6), 1394–1405. doi:10.1007/s10803-012-1694-6.

    Article  PubMed  PubMed Central  Google Scholar 

  • Mottron, L., Bouvet, L., Bonnel, A., Samson, F., Burack, J. A., Dawson, M., & Heaton, P. (2013). Veridical mapping in the development of exceptional autistic abilities. Neuroscience and Biobehavioral Reviews, 37(2), 209–228. doi:10.1016/j.neubiorev.2012.11.016.

    Article  PubMed  Google Scholar 

  • 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: Lawrence Erlbaum Associates Publishers.

    Google Scholar 

  • 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. doi:10.1007/s10803-005-0040-7.

    Article  PubMed  Google Scholar 

  • Nakahachi, T., Iwase, M., Takahashi, H., Honaga, E., Sekiyama, R., Ukai, S., & Takeda, M. (2006). Discrepancy of performance among working memory-related tasks in autism spectrum disorders was caused by task characteristics, apart from working memory, which could interfere with task execution. Psychiatry and Clinical Neurosciences, 60(3), 312–318. doi:10.1111/j.1440-1819.2006.01507.x.

    Article  PubMed  Google Scholar 

  • O’Hearn, K., Franconeri, S., Wright, C., Minshew, N., & Luna, B. (2013). The development of individuation in autism. Journal of Experimental Psychology: Human Perception and Performance, 39(2), 494–509. doi:10.1037/a0029400.

    PubMed  Google Scholar 

  • Posner, M. I., Snyder, C. R., & Davidson, B. J. (1980). Attention and the detection of signals. Journal of Experimental Psychology, 109(2), 160–174.

    Article  PubMed  Google Scholar 

  • Pylyshyn, Z. W., & Storm, R. W. (1988). Tracking multiple independent targets: Evidence for a parallel tracking mechanism. Spatial Vision, 3(3), 179–197.

    Article  PubMed  Google Scholar 

  • Roeyers, H., Thys, M., Druart, C., De Schryver, M., & Schittekatte, M. (2011). SRS Screeningslijst voor autismespectrumstoornissen. Amsterdam, Nederland: Hogrefe.

    Google Scholar 

  • Sattler, J. M. (2001). Assessment of children: Cognitive applications (4th ed.). San Diego: Jerome M Sattler.

    Google Scholar 

  • Scherf, K. S., Behrmann, M., Kimchi, R., & Luna, B. (2009). Emergence of global shape processing continues through adolescence. Child Development, 80(1), 162–177. doi:10.1111/j.1467-8624.2008.01252.x.

    Article  PubMed  PubMed Central  Google Scholar 

  • Scholl, B. J. (2009). What have we learned about attention from multiple object tracking (and vice versa)? In D. Dedrick, & L. Trick (Eds.), Computation, Cognition, and Pylyshyn (pp. 49–78). Cambridge, MA: MIT Press.

    Google Scholar 

  • Scholl, B. J., Pylyshyn, Z. W., & Feldman, J. (2001). What is a visual object? Evidence from target merging in multiple object tracking. Cognition, 80, 159–177.

    Article  PubMed  Google Scholar 

  • Simmons, D., Robertson, A., McKay, L., Toal, E., McAleer, P., & Pollick, F. (2009). Vision in autism spectrum disorders. Vision Research, 49(22), 2705–2739. doi:10.1016/j.visres.2009.08.005.

    Article  PubMed  Google Scholar 

  • 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. doi:10.1037/bul0000004.

  • Wechsler, D. (1992). WISC-III-NL: Wechsler Intelligence Scale for Children-III. New York: Psychological Corporation.

    Google Scholar 

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Acknowledgments

The authors would like to thank all participants and their families for their time and contribution to this research, as well as the participating schools for allowing us into their classrooms. In addition, we would like to thank our master students, Sophie Duchesne, Helen Goovaerts, Nele Soors and Astrid Van Der Most, who have collaborated on this project and have helped with the data collection. This research was funded by a Methusalem grant awarded to Johan Wagemans by the Flemish Government (METH/08/02).

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Correspondence to Ruth Van der Hallen.

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Van der Hallen, R., Evers, K., de-Wit, L. et al. Multiple Object Tracking Reveals Object-Based Grouping Interference in Children with ASD. J Autism Dev Disord 48, 1341–1349 (2018). https://doi.org/10.1007/s10803-015-2463-0

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