Natural language markers of social phenotype in girls with autism.

ABSTRACT:

Background

Girls with autism spectrum condition (ASC) are chronically underdiagnosed compared to boys, which may be due to poorly understood sex differences in a variety of domains, including social interest and motivation. In this study, we use natural language processing to identify objective markers of social phenotype that are easily obtained from a brief conversation with a nonexpert.

Methods

87 school-aged children and adolescents with ASC (17 girls, 33 boys) or typical development (TD; 15 girls, 22 boys) were matched on age (mean = 11.35 years), IQ estimates (mean = 107), and - for ASC participants - level of social impairment. Participants engaged in an informal 5-min 'get to know you' conversation with a nonexpert conversation partner. To measure attention to social

SUBMITTER: Song A 

PROVIDER: S-EPMC9113519 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature