Characterizing Attention Resource Capacity in Autism: A Multiple Object Tracking Study.

Autor: Tullo D; University of California Irvine, Irvine, CA, USA. dtullo@uci.edu., Levy B; McGill University, Montréal, Québec, Canada., Faubert J; Université de Montréal, Montréal, Québec, Canada., Bertone A; McGill University, Montréal, Québec, Canada.
Jazyk: angličtina
Zdroj: Journal of autism and developmental disorders [J Autism Dev Disord] 2024 Aug; Vol. 54 (8), pp. 2802-2815. Date of Electronic Publication: 2023 Jun 21.
DOI: 10.1007/s10803-023-05974-z
Abstrakt: The extant literature aimed at characterizing attentional capability in autistics has presented inconsistent findings. This inconsistency and uncertainty may be the product of different theoretical and methodological approaches used to define attention in autism. In the current study, we investigate whether the allocation of attentional resources to task demands, and attention resource capacity, differs between autistics with no comorbid attention-deficit diagnosis (n = 55) and age-matched neurotypicals (n = 55). We compared differences in capacity and the allocation of resources by manipulating attentional load in a Multiple Object-Tracking (MOT) task, a robust, versatile, and ecological measure of selective, sustained, and distributed attention. While autistics demonstrated lower MOT performance, this difference disappeared when we accounted for fluid reasoning intelligence. Additionally, the similarity in the trend of MOT performance at increasing levels of attentional load between autistics and neurotypicals suggests no differences in the allocation of attentional resources to task demands. Taken together, our study suggests that higher-order cognitive abilities, such as intelligence, should be considered when characterizing attention across the autistic population in research. Similarly, our findings highlight the importance of considering cognitive competence when assessing attentional capabilities in autistic individuals, which could have significant implications for clinical diagnosis, treatment, and support.
(© 2023. The Author(s).)
Databáze: MEDLINE
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