[HTML][HTML] Early diagnostics and early intervention in neurodevelopmental disorders—age-dependent challenges and opportunities

M Hadders-Algra - Journal of clinical medicine, 2021 - mdpi.com
This review discusses early diagnostics and early intervention in developmental disorders in
the light of brain development. The best instruments for early detection of cerebral palsy …

Sensitivity and specificity of the modified checklist for autism in toddlers (original and revised): a systematic review and meta-analysis

AT Wieckowski, LN Williams, J Rando, K Lyall… - JAMA …, 2023 - jamanetwork.com
Importance The Modified Checklist for Autism in Toddlers (M-CHAT) and the M-CHAT,
Revised With Follow-up (M-CHAT-R/F)—henceforth referred to as M-CHAT (-R/F)—are the …

The Lancet Commission on the future of care and clinical research in autism

C Lord, T Charman, A Havdahl, P Carbone… - The Lancet, 2022 - thelancet.com
Executive summary Affecting about 78 million people worldwide, autism is a condition of
global importance because of its prevalence and the degree to which it can affect individuals …

[HTML][HTML] Using 2D video-based pose estimation for automated prediction of autism spectrum disorders in young children

N Kojovic, S Natraj, SP Mohanty, T Maillart… - Scientific Reports, 2021 - nature.com
Clinical research in autism has recently witnessed promising digital phenotyping results,
mainly focused on single feature extraction, such as gaze, head turn on name-calling or …

Prevalence of decreased sound tolerance (hyperacusis) in individuals with autism spectrum disorder: A meta-analysis

ZJ Williams, E Suzman, TG Woynaroski - Ear and Hearing, 2021 - journals.lww.com
Objectives: Hyperacusis, defined as decreased tolerance to sound at levels that would not
trouble most individuals, is frequently observed in individuals with autism spectrum disorder …

[HTML][HTML] Machine learning based on eye-tracking data to identify Autism Spectrum Disorder: A systematic review and meta-analysis

Q Wei, H Cao, Y Shi, X Xu, T Li - Journal of biomedical informatics, 2023 - Elsevier
Background Machine learning has been widely used to identify Autism Spectrum Disorder
(ASD) based on eye-tracking, but its accuracy is uncertain. We aimed to summarize the …

Meta-analysis of the modified checklist for autism in toddlers, revised/follow-up for screening

R Aishworiya, VK Ma, S Stewart, R Hagerman… - …, 2023 - publications.aap.org
CONTEXT The Modified Checklist for Autism in Toddlers, Revised with Follow-up (M-CHAT-
R/F) is used worldwide to screen for autism spectrum disorder (ASD). OBJECTIVE To …

Linking risk factors and outcomes in autism spectrum disorder: is there evidence for resilience?

M Elsabbagh - Bmj, 2020 - bmj.com
Autism spectrum disorder (referred to here as autism) is one of several overlapping
neurodevelopmental conditions that have variable impacts on different individuals. This …

Diagnostic accuracy of the social attention and communication Surveillance–Revised with preschool tool for early autism detection in very young children

J Barbaro, N Sadka, M Gilbert, E Beattie, X Li… - JAMA network …, 2022 - jamanetwork.com
Importance Early identification of children on the autism spectrum is crucial to facilitate
access to early supports and services for children and families. The need for improved early …

[HTML][HTML] A randomized, community-based feasibility trial of modified ESDM for toddlers with suspected autism

P Mirenda, P Colozzo, V Smith, E Kroc… - Journal of Autism and …, 2022 - Springer
A randomized feasibility trial of a parent coaching (PC) intervention was conducted across
16 community agencies in a Canadian province. Parents of toddlers with suspected autism …