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Jérémy Lefort-Besnard, Kai Vogeley, Leonhard Schilbach, Gaël Varoquaux, Bertrand Thirion, Guillaume Dumas, Danilo Bzdok
(2020).
Patterns of autism symptoms: hidden structure in the ADOS and ADI-R instruments.
Translational Psychiatry, 10(1), 257.
Springer Science and Business Media LLC.
- Publication date
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30 Jul 2020
- Identifier
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10.1038/s41398-020-00946-8
- Authors
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Jérémy Lefort-Besnard,
Kai Vogeley,
Leonhard Schilbach,
Gaël Varoquaux,
Bertrand Thirion,
Guillaume Dumas,
Danilo Bzdok
- Source
- Translational Psychiatry
- Details
- 10(1), 257
- Reference type
- article
- Publisher
- Springer Science and Business Media LLC
- Metadata source
- crossref
Abstract
Abstract We simultaneously revisited the Autism Diagnostic Interview-Revised (ADI-R) and Autism Diagnostic Observation Schedule (ADOS) with a comprehensive data-analytics strategy. Here, the combination of pattern-analysis algorithms and extensive data resources (n = 266 patients aged 7–49 years) allowed identifying coherent clinical constellations in and across ADI-R and ADOS assessments widespread in clinical practice. Our clustering approach revealed low- and high-severity patient groups, as well as a group scoring high only in the ADI-R domains, providing quantitative contours for the widely assumed autism subtypes. Sparse regression approaches uncovered the most clinically predictive questionnaire domains. The social and communication domains of the ADI-R showed convincing performance to predict the patients’ symptom severity. Finally, we explored the relative importance of each of the ADI-R and ADOS domains conditioning on age, sex, and fluid IQ in our sample. The collective results suggest that (i) identifying autism subtypes and severity for a given individual may be most manifested in the ADI-R social and communication domains, (ii) the ADI-R might be a more appropriate tool to accurately capture symptom severity, and (iii) the ADOS domains were more relevant than the ADI-R domains to capture sex differences.
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