This clinical trial focuses on testing the efficacy of different digital interventions to promote re-engagement in cancer-related long-term follow-up care for adolescent and young adult (AYA) survivors of childhood cancer.
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.
Predicting Language and Literacy Growth in Children With ASD Using Statistical Learning
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
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Sponsor: Northeastern University
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.