Classifying Autism Spectrum Disorders by ADI-R: Subtypes or Severity Gradient?
Related Experiment Video
Updated: Mar 24, 2026

Use of a Video Scoring Anchor for Rapid Serial Assessment of Social Communication in Toddlers
Published on: March 14, 2018
Hannah Cholemkery1, Juliane Medda2, Thomas Lempp2
1Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, JW Goethe University Hospital, Deutschordenstraße 50, 60528, Frankfurt Am Main, Germany. Hannah.Cholemkery@kgu.de.
Abstract:
To reduce phenotypic heterogeneity of Autism spectrum disorders (ASD) and add to the current diagnostic discussion this study aimed at identifying clinically meaningful ASD subgroups. Cluster analyses were used to describe empirically derived groups based on the Autism Diagnostic Interview-revised (ADI-R) in a large sample of n = 463 individuals with ASD aged 3-21. Three clusters were observed. Most severely affected individuals regarding all core symptoms were allocated to cluster 2. Cluster 3 comprised moderate symptom severity of social communication impairments (SCI) and less stereotyped repetitive behavior (RRB). Minor SCI and relatively more RRB characterized cluster 1. This study offers support for both, a symptom profile, and a gradient model of ASD within the spectrum due to the sample included.
Related Concept Videos
Autism Spectrum Disorder
These core symptoms manifest differently among individuals, ranging from mild to severe. The disorder's complexity extends beyond its clinical presentation, encompassing a diverse range of biological, cognitive, and sociocultural influences.
Modeling in Therapy
Participant Modeling
Participant modeling involves therapists demonstrating calm and effective behaviors in...
Diagnostic and Statistical Manual of Mental Disorders (DSM)
Intellectual Disability
Attention-Deficit/Hyperactivity Disorder
Diagnostic Criteria and Symptoms
To diagnose ADHD, symptoms must manifest before age 12 and be evident across multiple settings....
Oppositional Defiant Disorder
Diagnostic Criteria and...

