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

> **NCT06332144** · NA · COMPLETED · sponsor: **Northeastern University** · enrollment: 41 (actual)

## Conditions studied

- Autism Spectrum Disorder
- Language Development
- Literacy

## Interventions

- **BEHAVIORAL:** Structural vs. Random sequences of stimuli
- **BEHAVIORAL:** Intact vs. Degraded speech
- **BEHAVIORAL:** Repeating 5-syllable nonwords or 2-syllable nonwords
- **BEHAVIORAL:** Recall letter or syllable strings that either contain highly frequent bigram/trigram items or infrequent items according to English Corpus data.

## Key facts

- **NCT ID:** NCT06332144
- **Lead sponsor:** Northeastern University
- **Sponsor class:** OTHER
- **Phase:** NA
- **Study type:** INTERVENTIONAL
- **Status:** COMPLETED
- **Start date:** 2024-01-13
- **Primary completion:** 2025-08-31
- **Final completion:** 2025-08-31
- **Target enrollment:** 41 (ACTUAL)
- **Last updated:** 2025-12-22

## Collaborators

- [object Object]
- [object Object]
- [object Object]

## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT06332144

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT06332144, "Predicting Language and Literacy Growth in Children With ASD Using Statistical Learning". Retrieved via AI Analytics 2026-06-23 from https://api.ai-analytics.org/clinical/NCT06332144. Licensed CC0.

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*[Clinical trials dataset](/datasets/clinical-trials) · CC0 1.0*