Editorial S.I: Early Identification in Autism Spectrum Disorders: The Present and Future, and Advances in Early Identification
Year: 2021
Type: editorial
Abstract: Early identification of autism spectrum disorder (ASD) is considered by most scholars and clinicians to be a feasible and useful step for improving the wellbeing of individuals on the autism spectrum and their families. Arguments supporting early detection efforts include the benefit of earlier access to services providing autism-specific evidence-based interventions (Vivanti et al., Journal of Autism and Developmental Disorders, 46(7), 2441-2449, 2016; Zwaigenbaum et al., Pediatrics, 136(Suppl), S10-S40, 2015), and its potential to mitigate or even prevent the challenges associated with ASD symptoms, reduce care costs, and improve the quality of life and productivity of individuals with ASD (Constantino et al., Pediatrics, 146(3), e20193629, 2020; Jacobson et al., Behavioral Interventions, 13(4), 201-226, 1998; Jacobson and Mulick, Journal of Autism and Developmental Disorders, 30(6), 585-593, 2000). Nevertheless, controversies and challenges in this field exist.
Institutions: Yale University, UiT The Arctic University of Norway
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: hybrid
Estimated APC paid: $2,780
Funder: Universitetet i Tromsø
OpenAlex ID: W3125140976
