Protocol for the development of joint attention-based subclassification of autism spectrum disorder and validation using multi-modal data.

ABSTRACT:

Background

Heterogeneity in clinical manifestation and underlying neuro-biological mechanisms are major obstacles to providing personalized interventions for individuals with autism spectrum disorder (ASD). Despite various efforts to unify disparate data modalities and machine learning techniques for subclassification, replicable ASD clusters remain elusive. Our study aims to introduce a novel method, utilizing the objective behavioral biomarker of gaze patterns during joint attention, to subclassify ASD. We will assess whether behavior-based subgrouping yields clinically, genetically, and neurologically distinct ASD groups.

Methods

We propose a study involving 60 individuals with ASD recruited from a specialized psychiatric clinic to perform joint attention tasks. Through t

SUBMITTER: Ko C 

PROVIDER: S-EPMC10426216 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature