SSRScientific and Social Research2661-43322981-9946Bio-Byword Scientific Publishing Pty. Ltd.10.26689/ssr.v7i6.11060ArticleCognitive Mechanism Hypothesis of Decreasing Repetitive and Stereotypical Behaviors in ASD Over Timehttps://artdesignp.com/journal/SSR/7/6/10.26689/ssr.v7i6.11060DuanDan,WangShouhui2025762025-06-13Repetitive and stereotyped behaviors are the core symptoms of ASD and the indicators of the severity of ASD, which seriously affect the daily life, learning, and social interaction of children with ASD. The reasons for the formation of repetitive behaviors in children with ASD have not been clear. Through long-term clinical observation of children with ASD, the study found that part of the stereotyped behavior, which is the interests and activities of children with ASD, can be changed. By finding the regularity of the stereotyped behavior, the stereotyped behavior will be reduced or stopped. The study proposed a cognitive mechanism hypothesis for the reduction of stereotyped behaviors: some stereotyped behaviors have potential functions, such as finding regularity. ASD finds the regularity and improves the accuracy of the knowledge of the regularity by repeating the operation. After finding regularity, ASD accomplishes its purpose, forming functional behaviors and reducing stereotyped behaviors. With the accumulation of time, the known regularities are gradually integrated, which shows the tendency of more complete cognition, more functional behavior, and less rigid behavior. This hypothesis provides a new perspective to understand the stereotyping of ASD. The study views stereotypy as non-disease, potentially functional and mutable, which can expand the understanding of ASD and help parents better understand and develop its advantages, with important potential social implications.

Harris E, 2023, Autism Prevalence Has Been on the Rise in the US for Decades—And That’s Progress. JAMA, 329(20): 1724–1726.

Maenner MJ, Shaw KA, Bakian AV, et al., 2021, Prevalence and Characteristics of Autism Spectrum Disorder Among Children Aged 8 Years — Autism and Developmental Disabilities Monitoring Network, 11 Sites, United States, 2018. Surveillance Summaries, 70(11): 1–16.

Maenner MJ, Warren Z, Williams AR, et al., 2023, Prevalence and Characteristics of Autism Spectrum Disorder Among Children Aged 8 Years — Autism and Developmental Disabilities Monitoring Network, 11 Sites, United States, 2020. Surveillance Summaries, 72(2): 1–14.

Zhou H, Xu X, Yan W, et al., 2020, Prevalence of Autism Spectrum Disorder in China: A Nationwide Multi-center Population-based Study Among Children Aged 6 to 12 Years. Neuroscience Bulletin, 36(9): 961–971.

Zhao YN, Li ZW, Li L, et al., 2023, The Prevalence of ASD Screening in Children Aged 0–6 Years Old in China. Chinese Journal of Reproductive Health, 34(5): 423–428.

Perochon S, Di Martino JM, Carpenter K, et al., 2023, Early Detection of Autism using Digital Behavioral Phenotyping. Nature Medicine, 29(10): 2489–2497.

Trost B, Thiruvahindrapuram B, Chan AJS, et al., 2022, Genomic Architecture of Autism from Comprehensive Whole-genome Sequence Annotation. Cell, 185(23): 4409.

Lord C, Brugha TS, Charman T, et al., 2020, Autism Spectrum Disorder. Nature Reviews Disease Primers, 6(1): 5.

Hill EL, 2004, Executive Dysfunction in Autism. Trends in Cognitive Sciences, 8(1): 26–32.

Hill EL, 2004, Evaluating the Theory of Executive Dysfunction in Autism. Developmental Review, 24(2): 189–233.

Wang Y, 2002, Cognitive Semantics. Journal of Sichuan International Studies University, 18(2): 58–62.

Wang Y, 2022, The Theory, Practice and Development of Cognitive Semantics by Talmy: A Modest Proposal of Embodied Cognitive Semantics. Journal of Beijing International Studies University, 44(5): 14–26.

Baron-Cohen S, Lombardo MV, 2017, Autism and Talent: The Cognitive and Neural Basis of Systemizing. Dialogues in Clinical Neuroscience, 19(4): 345–353.

Pan N, Lin LZ, Wang X, et al., 2023, Brain Structure Underlying the Empathizing-Systemizing Difference in children with Autism Spectrum Disorder. World Journal of Pediatrics, 19(8): 782–792.

Van de Cruys S, Evers K, Van der Hallen R, et al., 2014, Precise Minds in Uncertain Worlds: Predictive Coding in Autism. Psychological Review, 121(4): 649–675.

Allenmark F, Shi Z, Pistorius RL, et al., 2021, Acquisition and Use of “Priors” in Autism: Typical in Deciding Where to Look, Atypical in Deciding What Is There. Journal of Autism and Developmental Disorders, 51(10): 3744–3758.

Harstad E, Hanson E, Brewster SJ, et al., 2023, Persistence of Autism Spectrum Disorder from Early Childhood Through School Age. JAMA Pediatrics, 177(11): 1197–1205.

Lord C, Elsabbagh M, Baird G, et al. Autism Spectrum Disorder. Lancet, 392(10146): 508–520.

Caldwell-Harris C, Schwartz AM, 2023, Listening to Autistic Voices Regarding Competing for Social Status. Autism, 28(4): 1051–1052.

Lockwood EG, Mason L, Arora R, et al., 2024, Attention Control in Autism: Eye-tracking Findings from Pre-school Children in a Low- and Middle-income Country Setting. Autism, 28(1): 43–57.

Li T, Li Y, Hu Y, et al., 2021, Heterogeneity of Visual Preferences for Biological and Repetitive Movements in Children with Autism Spectrum Disorder. Autism Research, 14(1): 102–111.

Poole D, Miles E, Gowen E, et al., 2021, Shifting Attention between Modalities: Revisiting the Modality-shift Effect in Autism. Attention, Perception, & Psychophysics, 83(6): 2498–2509.

Caruana N, Nalepka P, Perez GA, et al., 2023, Autistic Young People Adaptively use Gaze to Facilitate Joint Attention during Multi-gestural Dyadic Interactions. Autism, 28(6): 1565–1581.

Hedger N, Chakrabarti B, 2021, Autistic Differences in the Temporal Dynamics of Social Attention. Autism, 25(6): 1615–1626.