Work

Exploring cognitive predictors of language in children with developmental language disorder: The role of nonverbal IQ, working memory, implicit statistical learning, and speed of automatization

Year: 2025

Type: article

Abstract: Children with developmental language disorder (DLD) have varied strengths and difficulties in both language and cognition but we do not yet have a comprehensive understanding as to how these abilities are interrelated. In this study, we explore performance in language typical children and children with DLD to evaluate how different areas of nonverbal cognition predict linguistic outcomes. We investigate nonverbal intelligence, working memory, implicit statistical learning, and the speed of automatization. 77 children (54 language typical children and 23 children with DLD), aged between 6;9 and 10;8 years, completed a battery of cognitive and language tasks. Our results show between-group differences in both language and cognitive abilities. We propose a cumulative risk model, suggesting that important predictors of language in children with DLD are a combination of nonverbal working memory, nonverbal intelligence, and the speed of automatization.

Source: Journal of Communication Disorders

DOI: 10.1016/j.jcomdis.2025.106541

Authors: Ashley Blake, Ewa Dąbrowska, Nick Riches

Institutions: University of Birmingham, Friedrich-Alexander-Universität Erlangen-Nürnberg, Newcastle University

Language: English

Topic: Language Development and Disorders

Subfield: Developmental and Educational Psychology

Field: Psychology

Domain: Social Sciences

SDG: Good health and well-being

Open Access status: hybrid

Estimated APC paid: $3,960