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...

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Bibliografiske detaljer
Autoren: Stroth, Sanna, Tauscher, Johannes, Wolff, Nicole, Küpper, Charlotte, Poustka, Luise, Roepke, Stefan, Roessner, Veit, Heider, Dominik, Kamp-Becker, Inge
Format: Artikel
Sprog:engelsk
Udgivet: Philipps-Universität Marburg 2022
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Beskrivelse
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.
Emne beskrivelse:Gefördert durch den Open-Access-Publikationsfonds der UB Marburg.
DOI:10.1186/s13229-022-00491-9