Rethinking Our Concepts and Assumptions About Autism.

Area of Science:

• Neurodevelopmental Disorders
• Clinical Psychology
• Genetics

Background:

• Autism is a clinical diagnosis based on social-communication (SC) and restricted repetitive behaviors (RRB).
• Current diagnostic criteria assume utility across behavioral, biological, and treatment domains.
• The autism population exhibits significant heterogeneity from genetic to phenotypic levels.

Purpose of the Study:

• To challenge the assumption that a single autism diagnosis adequately explains biological differences, outcomes, and treatment (BOT) responses.
• To advocate for a re-evaluation of the autism concept in light of multi-scale heterogeneity.
• To propose the development of alternative definitions tailored for specific translational goals, such as predicting differential BOT responses.

Main Methods:

• Conceptual analysis and argumentation.
• Review of existing literature on autism heterogeneity.
• Proposal for a multi-definition approach to autism.

Main Results:

• The current autism diagnosis, while clinically useful, is insufficient for explaining differential biology, outcomes, and treatment responses due to population heterogeneity.
• Heterogeneity spans multiple scales, from genome to phenome.
• The assumption of a single, unified construct for autism requires critical examination.

Conclusions:

• Retain the clinical diagnosis of autism for its practical utility.
• Develop and allow for multiple, more precise definitions of autism.
• These new definitions should be optimized for specific translational research goals, particularly for explaining differential treatment responses.