Predicting Language and Literacy Growth in Children With ASD Using Statistical Learning

Completed · Not applicable

Conditions studied: Autism Spectrum Disorder, Language Development, Literacy

In brief

The goal of this observational study is to test a reciprocal relationship between statistical learning and the development of language and literacy in first-graders with autism and their non-autistic peers. The main questions it aims to answer are: 1. whether children's statistical learning abilities can predict their long-term improvement of language and literacy skills in school; 2. how children's brains automatically learn patterns from speech and prints; 3. whether children's learning in the lab reflects the language patterns they have learned over the years from their native language. First-grade students will participate in the study twice across three months. During Time 1, children will complete * a battery of language, reading, and cognitive assessments * a series of computer-based statistical learning games both inside and outside of functional MRI scanner. During Time 2, children will complete a battery of language and reading assessments to detect the growth in three months. Researchers will compare the autistic and the non-autistic groups to see if statistical learning plays a similar or different role in predicting children's language and literacy growth.

Key facts

Study ID
NCT06332144
Run by
Northeastern University
People needed
41
Starts
2024-01-13
Expected to finish
2025-08-31
Last updated by the study team
2025-12-22

Who can join

Age: 6 and older, up to 8. Sex: any. Healthy volunteers: accepted.

You may qualify if…

You may not qualify if…

Where it is running

Full record on ClinicalTrials.gov

Trial information comes from ClinicalTrials.gov and is refreshed daily. TrialsForMe does not provide medical care and does not run the studies it lists.