Phenotypic divergence between individuals with self-reported autistic traits and clinically ascertained autism

While allowing for rapid recruitment of large samples, online research relies heavily on participants' self-reports of neuropsychiatric traits, foregoing the clinical characterizations available in laboratory settings. Autism spectrum disorder (ASD) research is one example for which the clinical validity of such an approach remains elusive. Here we compared 56 adults with ASD recruited in person and evaluated by clinicians to matched samples of adults recruited through an online platform (Prolific; 56 with high autistic traits and 56 with low autistic traits) and evaluated via self-reported surveys. Despite having comparable self-reported autistic traits, the online high-trait group reported significantly more social anxiety and avoidant symptoms than in-person ASD participants. Within the in-person sample, there was no relationship between self-rated and clinician-rated autistic traits, suggesting they may capture different aspects of ASD. The groups also differed in their social tendencies during two decision-making tasks; the in-person ASD group was less perceptive of opportunities for social influence and acted less affiliative toward virtual characters. These findings highlight the need for a differentiation between clinically ascertained and trait-defined samples in autism research.

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Publication Details

Journal
Nature Mental Health
Published
2025-02-06
DOI
https://doi.org/10.1038/s44220-025-00385-8
Citations
9
Primary Topic
Autism Spectrum Disorder Research
Type
article
Field-Weighted Citation Impact
11.45

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article

Phenotypic divergence between individuals with self-reported autistic traits and clinically ascertained autism

Xiaosi Gu, Matthew Heflin, Arabella W. Peters, Soojung Na et al.
9 citations
Nature Mental Health
Autism Spectrum Disorder Research
11.45
article

Phenotypic divergence between individuals with self-reported autistic traits and clinically ascertained autism

Xiaosi Gu, Matthew Heflin, Arabella W. Peters, Soojung Na, Daniela Schiller, Jennifer H. Foss‐Feig, Matthew Schafer, Sarah Banker, Jadyn Trayvick, Miles Harrington, Abigaël Thinakaran, Sarah Barkley
article en
9 citations

Abstract

While allowing for rapid recruitment of large samples, online research relies heavily on participants' self-reports of neuropsychiatric traits, foregoing the clinical characterizations available in laboratory settings. Autism spectrum disorder (ASD) research is one example for which the clinical validity of such an approach remains elusive. Here we compared 56 adults with ASD recruited in person and evaluated by clinicians to matched samples of adults recruited through an online platform (Prolific; 56 with high autistic traits and 56 with low autistic traits) and evaluated via self-reported surveys. Despite having comparable self-reported autistic traits, the online high-trait group reported significantly more social anxiety and avoidant symptoms than in-person ASD participants. Within the in-person sample, there was no relationship between self-rated and clinician-rated autistic traits, suggesting they may capture different aspects of ASD. The groups also differed in their social tendencies during two decision-making tasks; the in-person ASD group was less perceptive of opportunities for social influence and acted less affiliative toward virtual characters. These findings highlight the need for a differentiation between clinically ascertained and trait-defined samples in autism research.

Nature Mental HealthVol. 3(3)
Allen Institute for Brain Science (US), Montclair State University (US), Child Health and Development Institute (US), Stony Brook University (US), Columbia University (US), Icahn School of Medicine at Mount Sinai (US)
Icahn School of Medicine at Mount Sinai, Beatrice and Samuel A. Seaver Foundation, Simons Foundation Autism Research Initiative, Georgia Clinical and Translational Science Alliance, National Institute of Mental Health, National Center for Advancing Translational Sciences
Openalex Percentile: Top 1%
Autism Spectrum Disorder Research
11.45
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