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

NARecruitingINTERVENTIONAL
Enrollment

50

Participants

Timeline

Start Date

January 13, 2024

Primary Completion Date

August 31, 2025

Study Completion Date

August 31, 2025

Conditions
Autism Spectrum DisorderLanguage DevelopmentLiteracy
Interventions
BEHAVIORAL

Structural vs. Random sequences of stimuli

Participants will see or listen to sequences of sounds and images either in a structured condition or a random condition.

BEHAVIORAL

Intact vs. Degraded speech

"Participants will listen to an audiobook Alice in Wonderland in the MRI scanner. The speech is either intact or degraded."

BEHAVIORAL

Repeating 5-syllable nonwords or 2-syllable nonwords

Participants will listen to nonwords (either 5-syllable or 2-syllable) and then repeat them as accurately as possible in the MRI scanner.

BEHAVIORAL

Recall letter or syllable strings that either contain highly frequent bigram/trigram items or infrequent items according to English Corpus data.

Participants will read (orthographic serial recall) or listen to (phonological serial recall) strings.

Trial Locations (2)

02115

RECRUITING

Northeastern University, Boston

02215

ENROLLING_BY_INVITATION

Boston University, Boston

Sponsors

Collaborators (1)

All Listed Sponsors
collaborator

University of Delaware

OTHER

collaborator

Boston University

OTHER

collaborator

Cornell University

OTHER

lead

Northeastern University

OTHER

NCT06332144 - Predicting Language and Literacy Growth in Children With ASD Using Statistical Learning | Biotech Hunter | Biotech Hunter