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Early identification of autism spectrum disorders
Abstract
Earlier identification and diagnosis of autism spectrum disorders (ASDs) can improve opportunities for children to benefit from intervention and lessen the burden on concerned parents. This review summarizes current knowledge about early signs of autism. Convergent data from both retrospective studies and prospective studies of high-risk infants indicate that ASD symptoms emerge in the first two years of life, affecting multiple developmental domains, mapping onto symptom dimensions consistent with current diagnostic frameworks including social-communication, and repetitive interests/behaviors but also extending to motor delays and atypical regulation of attention and emotion. Recent findings have shed new light on patterns of symptom onset and progression, and promise to inform early detection and diagnosis. Further attention to effective application of new findings and related challenges in building health system capacity to ensure timely access to specialized assessment and interventions is needed to fully realize the promise of improved outcomes resulting from this research.
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“Recent reviews of high-risk (HR) sibling studies find convergent evidence for the emergence of overt behavioural markers between 12 and 18 months of age that distinguish, at a group level, those infants who go on to receive an ASD diagnosis from other HR infants and low-risk (LR) groups (Jones, Gliga, Bedford, Charman, & Johnson, 2014; Zwaigenbaum et al., 2013).”
From Behavioural markers for autism in infancy: Scores on the Autism Observational Scale for Infants in a prospective study of at-risk siblings (2015) · cites this paper as Zwaigenbaum et al., 2013
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Metadata
- Authors
- Zwaigenbaum, L., Bryson, S., & Garon, N.
- Affiliations
- University of Alberta (CA)
- Dalhousie University (CA)
- Mount Allison University (CA)
- Corresponding author
- Zwaigenbaum, Lonnie
- Venue
- Behavioural Brain Research
- Publisher
- Elsevier BV
- Published
- 2013-08
- Volume
- 251
- Pages
- 133-146
- ISSN
- 0166-4328 (ISSN-L)
- OpenAlex
- W2130157722
- Semantic Scholar
- f47995f2b80e6cce23123781dbb89ec976100772
- Cited by
- 370
- References
- 114
- Citations by year
- 2026: 15 · 2025: 20 · 2024: 23 · 2023: 30 · 2022: 21 · 2021: 42 · 2020: 22 · 2019: 31 · 2018: 36 · 2017: 28 · 2016: 30 · 2015: 31 · 2014: 30 · 2013: 10
- FWCI
- 2.86
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Behavioural Brain Research (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Autism Spectrum Disorder Research
- Health Sciences › Medicine › Psychiatry and Mental health › Child Nutrition and Feeding Issues
- Social Sciences › Psychology › Developmental and Educational Psychology › Child and Animal Learning Development
- Keywords
- autism spectrum disorder, early detection, early diagnosis, early signs of autism, high-risk infants, social communication, repetitive behavior, motor delay, attentional control, emotion regulation, developmental domains, health system capacity
- MeSH terms
- Child, Child Development, Child Development Disorders, Pervasive, Child, Preschool, Cognition, Communication, Humans, Infant, Language Development, Early Diagnosis
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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