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

Northeastern University · 2024
ClinicalTrials.gov · Datasets · License: Public Domain · 2024
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autism-spectrum-disorderfmrilanguage-developmentliteracynaneuroimagingstatistical-learning
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.
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