Rethinking Autism Intervention Science
A Dynamic Perspective
Bibliographic Data
| ID | 15524705 |
|---|---|
| Authors | Yun-Ju Chen (0000-0002-0659-2110, McMaster University, corresponding author), Eric Duku (0000-0003-3599-3527, McMaster University), Stelios Georgiades (McMaster University) |
| Year | 2022 |
| Volume | 13 |
| Pages | 827406-827406 |
| Publication date | 2022-02-25 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Psychiatry (JOURNAL) |
| Journal identifiers | ISSN: 1664-0640 • E-ISSN: 1664-0640 |
| Publisher | Frontiers Media (PUBLISHER • CH) |
| DOI | 10.3389/fpsyt.2022.827406 |
| PMID | 35280173 |
| OpenAlex | W4214486518 |
| Language | EN |
| References cited | 61 |
Recent advances in longitudinal methodologies for observational studies have contributed to a better understanding of Autism as a neurodevelopmental condition characterized by within-person and between-person variability over time across behavioral domains. However, this finer-grained approach to the study of developmental variability has yet to be applied to Autism intervention science. The widely adopted experimental designs in the field-randomized control trials and quasi-experimental designs-hold value for inferring treatment effects; at the same time, they are limited in elucidating what works for whom, why , and when , given the idiosyncrasies of neurodevelopmental disorders where predictors and outcomes are often dynamic in nature. This perspective paper aims to serve as a primer for Autism intervention scientists to rethink the way we approach predictors of treatment response and treatment-related change using a dynamic lens. We discuss several empirical gaps, and potential methodological challenges and opportunities pertaining to: (1) capturing finer-grained treatment effects in specific behavioral domains as indexed by micro-level within-person changes during and beyond intervention; and (2) examining and modeling dynamic prediction of treatment response. Addressing these issues can contribute to enhanced study designs and methodologies that generate evidence to inform the development of more personalized interventions and stepped care approaches for individuals on the heterogeneous spectrum of Autism with changing needs across development
Autism · Autism spectrum disorder · Clinical study design · Clinical trial · Cognitive psychology · Developmental psychology · Intervention (counseling · Observational study · Perspective (graphical · Psychiatry · Psychological intervention · Autism Spectrum Disorder Research · Behavioral and Psychological Studies · Computer Science · Early Childhood Education and Development · Medicine · Psychology · Artificial Intelligence
Lack of group-to-individual generalizability is a threat to human subjects research
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The Lancet Commission on the future of care and clinical research in autism
Twelve Frequently Asked Questions About Growth Curve Modeling
The separation of between-person and within-person components of individual change over time
Problematics of Time and Timing in the Longitudinal Study of Human Development
Timing is everything
At the Frontiers of Modeling Intensive Longitudinal Data
Defining Precision Medicine Approaches to Autism Spectrum Disorders
Project AIM
Understanding and misunderstanding randomized controlled trials
| Highly cited | No |
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