Volltext-Downloads (blau) und Frontdoor-Views (grau)

Small semantic networks in individuals with autism spectrum disorder without intellectual impairment: A verbal fluency approach

  • Individuals with Autism Spectrum Disorder (ASD) experience a variety of symptoms sometimes including atypicalities in language use. The study explored diferences in semantic network organisation of adults with ASD without intellectual impairment. We assessed clusters and switches in verbal fuency tasks (‘animals’, ‘human feature’, ‘verbs’, ‘r-words’) via curve ftting in combination with corpus-driven analysis of semantic relatedness and evaluated socio-emotional and motor action related content. Compared to participants without ASD (n=39), participants with ASD (n=32) tended to produce smaller clusters, longer switches, and fewer words in semantic conditions (no p values survived Bonferroni-correction), whereas relatedness and content were similar. In ASD, semantic networks underlying cluster formation appeared comparably small without afecting strength of associations or content.

Download full text files

Export metadata

Additional Services

Search Google Scholar


Author:Felicitas EhlenORCiD, Stefan RoepkeORCiDGND, Fabian Klostermann, Irina Baskow, Pia Geise, Cyril BelicaGND, Hannes Ole TiedtORCiDGND, Behnoush Behnia
Parent Title (English):Journal of autism and developmental disorders
Publisher:Springer Nature
Document Type:Article
Year of first Publication:2020
Date of Publication (online):2023/03/16
Publishing Institution:Leibniz-Institut für Deutsche Sprache (IDS)
Tag:ASD; Clusters; Mental Lexicon; Verbal fluency; WCC
GND Keyword:Autismus; Korpus <Linguistik>; Neurologie; Semantik; Sprachstörung; Symptom
First Page:3967
Last Page:3987
DDC classes:400 Sprache / 400 Sprache, Linguistik
Open Access?:ja
Leibniz-Classification:Sprache, Linguistik
Linguistics-Classification:Pragmalinguistik / Kommunikationsforschung
Program areas:S1: Korpuslinguistik
Licence (English):License LogoCreative Commons - Attribution 4.0 International