Future Directions for Infant Identification and Intervention for Autism Spectrum Disorder from a Transdiagnostic
Meagan R Talbott1, Meghan R Miller1
1MIND Institute and Department of Psychiatry & Behavioral Sciences, University of California.
Insights
Early identification of autism spectrum disorder (ASD) and related neurodevelopmental disorders in infants is crucial. A transdiagnostic approach, focusing on overlapping early indicators, can improve early intervention effectiveness and long-term outcomes.
Area of Science:
- Developmental neuroscience
- Clinical psychology
- Pediatric medicine
Background:
- Neurodevelopmental disorders like autism spectrum disorder (ASD) are difficult to treat once detected at later stages.
- Infant-focused preventive and early intervention strategies are vital for improving lifelong outcomes and reducing healthcare costs.
- Effective early intervention relies on accurately identifying infants most at risk.
Purpose of the Study:
- To explore how a transdiagnostic perspective can enhance the impact of early identification and intervention for ASD and co-occurring disorders.
- To summarize existing literature on infant symptoms and ASD identification.
- To propose future research directions to bridge the gap between identification and treatment.
Main Methods:
- Literature review on infant symptoms and ASD identification.
- Analysis of prodromal symptom overlap across neurodevelopmental disorders and child psychopathology.
- Formulation of recommendations for future research based on developmental and clinical science.
Main Results:
- Current identification methods for ASD may be limited by a narrow focus.
- A transdiagnostic approach, considering shared early indicators, can broaden the scope of early identification.
- Significant overlap exists in early symptoms across various neurodevelopmental and child psychopathologies.
Conclusions:
- Adopting a transdiagnostic lens is essential for maximizing the impact of early identification and intervention efforts.
- Future research should focus on developing norm-referenced measures for transdiagnostic behavioral domains.
- Identifying shared risk mechanisms and cross-cutting treatments is key for scalable early intervention systems.
Abstract:
By the time they are typically detected, neurodevelopmental disorders like autism spectrum disorder (ASD) are already challenging to treat. Preventive and early intervention strategies in infancy are critical for improving outcomes over the lifespan with significant cost savings. However, the impact of prevention and early intervention efforts is dependent upon our ability to identify infants most appropriate for such interventions. Because there may be significant overlap between prodromal symptoms across neurodevelopmental disorders and child psychopathology more broadly which may wax and wane across development, we contend that the impact of prevention and early intervention efforts will be heightened by identifying early indicators that may overlap across ASD and other commonly co-occurring disorders. This paper summarizes the existing literature on infant symptoms and identification of ASD to demonstrate the ways in which a transdiagnostic perspective could expand the impact of early identification and intervention research and clinical efforts, and to outline suggestions for future empirical research programs addressing current gaps in the identification-to-treatment pipeline. We propose four recommendations for future research that are both grounded in developmental and clinical science and that are scalable for early intervention systems: (1) development of fine-grained, norm-referenced measures of ASD-relevant transdiagnostic behavioral domains; (2) identification of shared and distinct mechanisms influencing the transition from risk to disorder; (3) determination of key cross-cutting treatment strategies (both novel and extracted from existing approaches) effective in targeting specific domains across disorders; and (4) integration of identified measures and treatments into existing service systems.
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