Phenotypic differences between female and male individuals with suspicion of autism spectrum disorder

Although autism spectrum disorder (ASD) is a common developmental disorder, our knowledge about a behavioral and neurobiological female phenotype is still scarce. As the conceptualization and understanding of ASD are mainly based on the investigation of male individuals, females with ASD may not be...

Full description

Saved in:
Bibliographic Details
Main Authors: Stroth, Sanna, Tauscher, Johannes, Wolff, Nicole, Küpper, Charlotte, Poustka, Luise, Roepke, Stefan, Roessner, Veit, Heider, Dominik, Kamp-Becker, Inge
Format: Article
Language:English
Published: Philipps-Universität Marburg 2022
Subjects:
Online Access:PDF Full Text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Although autism spectrum disorder (ASD) is a common developmental disorder, our knowledge about a behavioral and neurobiological female phenotype is still scarce. As the conceptualization and understanding of ASD are mainly based on the investigation of male individuals, females with ASD may not be adequately identified by routine clinical diagnostics. The present machine learning approach aimed to identify diagnostic information from the Autism Diagnostic Observation Schedule (ADOS) that discriminates best between ASD and non-ASD in females and males.
Item Description:Gefördert durch den Open-Access-Publikationsfonds der UB Marburg.
DOI:10.1186/s13229-022-00491-9