Predicting Language and Literacy Growth in Children With ASD Using Statistical Learning
PLAUSL
1 other identifier
interventional
41
1 country
2
Brief Summary
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:
- 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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for not_applicable
Started Jan 2024
2 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
January 13, 2024
CompletedFirst Submitted
Initial submission to the registry
March 5, 2024
CompletedFirst Posted
Study publicly available on registry
March 27, 2024
CompletedPrimary Completion
Last participant's last visit for primary outcome
August 31, 2025
CompletedStudy Completion
Last participant's last visit for all outcomes
August 31, 2025
CompletedDecember 22, 2025
December 1, 2025
1.6 years
March 5, 2024
December 18, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (6)
Language Composite Score
The concurrent language skills will be computed by averaging each child's standardized scores across the TILLS language subsets and NIH Toolbox Picture Vocab. The composite score will range between 50 and 150. The higher score, the better language skills.
At each of the two measuring time points during the school year of the first grade with three months apart over a 40-minute teleassessment session
Reading Composite Score
The concurrent reading skills will be computed by averaging across WRMT-III subtests, NIH Toolbox oral reading recognition. The composite score will range between 50 and 150. The higher score, the better reading skills.
At each of the two measuring time points during the school year of the first grade with three months apart over a 40-minute teleassessment session
Language/Literacy Disorder Status
The binary status is determined by children's TILLS Identification core scores
At the first visit during the school year of the first grade over a 40-minute teleassessment session
Neural similarity between language and statistical learning tasks
The multivoxel similarity between language processing (or phonological working memory) tasks and the statistical learning task in subject-specific language (or phonological working memory) brain regions.
At the first visit during the school year of the first grade over a two-hour MRI session
Orthographic statistical sensitivity
The difference in recall accuracy of bigrams/trigrams between the high- vs. low-frequency items in the orthographic serial recall task.
At each of the two measuring time points during the school year of the first grade with three months apart
Phonological statistical sensitivity
The difference in recall accuracy of bigrams/trigrams between the high- vs. low-frequency items in the phonological serial recall task.
At each of the two measuring time points during the school year of the first grade with three months apart
Secondary Outcomes (2)
Linguistic SL composite scores
At each of the two measuring time points during the school year of the first grade with three months apart
Neural sensitivity to statistical regularities during the statistical learning tasks
At the first visit during the school year of the first grade over a two-hour MRI session
Other Outcomes (1)
Neural activation to statistical regularities during the language tasks
At the first visit during the school year of the first grade over a two-hour MRI session
Study Arms (1)
Enrolled participants
EXPERIMENTALStructural vs. Random sequences of stimuli; Intact vs. Degraded speech; Repeating 5-syllable nonwords or 2-syllable nonwords; Recall letter or syllable strings that either contain highly frequent bigram/trigram items or infrequent items according to English Corpus data
Interventions
Participants will listen to an audiobook "Alice in Wonderland" in the MRI scanner. The speech is either intact or degraded.
Participants will listen to nonwords (either 5-syllable or 2-syllable) and then repeat them as accurately as possible in the MRI scanner.
Participants will see or listen to sequences of sounds and images either in a structured condition or a random condition.
Participants will read (orthographic serial recall) or listen to (phonological serial recall) strings.
Eligibility Criteria
You may qualify if:
- current first grader (6;0 - 7;6)
- Geographically located within the Greater Boston Metropolitan Area
- Native English speakers
- Normal hearing
- Normal or corrected vision
- Children with a professional diagnosis of autism according to expert clinical judgment
- Capable of speaking sentences with three or more words
- Social Communication Parent Questionnaire score \> 15
- Autism diagnosis confirmed by ADOS
- Neurotypical: with no known cognitive, neurological, or psychiatric disorders
- Social Communication Parent Questionnaire score \< 11
- Receive a score within 1 SD of the population mean for age on all assessments.
You may not qualify if:
- non-native speakers of English
- More than 30 hours of exposure to a language other than English per week
- history of brain injuries and head injuries
- intellectual disability, mutism, motor delay, or developmental coordination disorder
- metal in body
- claustrophobic
- history of prior neurosurgical procedure
- substance abuse
- signs of increased intracranial pressure
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Northeastern Universitylead
- University of Delawarecollaborator
- Boston Universitycollaborator
- Cornell Universitycollaborator
Study Sites (2)
Northeastern University
Boston, Massachusetts, 02115, United States
Boston University
Boston, Massachusetts, 02215, United States
Related Publications (4)
Ozernov-Palchik O, Qi Z, Beach SD, Gabrieli JDE. Intact procedural memory and impaired auditory statistical learning in adults with dyslexia. Neuropsychologia. 2023 Sep 9;188:108638. doi: 10.1016/j.neuropsychologia.2023.108638. Epub 2023 Jul 28.
PMID: 37516235BACKGROUNDHu A, Kozloff V, Owen Van Horne A, Chugani D, Qi Z. Dissociation Between Linguistic and Nonlinguistic Statistical Learning in Children with Autism. J Autism Dev Disord. 2024 May;54(5):1912-1927. doi: 10.1007/s10803-023-05902-1. Epub 2023 Feb 7.
PMID: 36749457BACKGROUNDO'Brien AM, Perrachione TK, Wisman Weil L, Sanchez Araujo Y, Halverson K, Harris A, Ostrovskaya I, Kjelgaard M, Kenneth Wexler, Tager-Flusberg H, Gabrieli JDE, Qi Z. Altered engagement of the speech motor network is associated with reduced phonological working memory in autism. Neuroimage Clin. 2023;37:103299. doi: 10.1016/j.nicl.2022.103299. Epub 2022 Dec 23.
PMID: 36584426BACKGROUNDSchneider JM, Hu A, Legault J, Qi Z. Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques. J Vis Exp. 2020 Jun 30;(160):10.3791/61474. doi: 10.3791/61474.
PMID: 32716372BACKGROUND
Related Links
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Zhenghan Qi, MD/PhD
Northeastern University
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Purpose
- DIAGNOSTIC
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
March 5, 2024
First Posted
March 27, 2024
Study Start
January 13, 2024
Primary Completion
August 31, 2025
Study Completion
August 31, 2025
Last Updated
December 22, 2025
Record last verified: 2025-12
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL, SAP, ANALYTIC CODE
- Time Frame
- The data will be made available to other users within 12 months of the final data point being collected or at the time of an associated publication, whichever comes first.
- Access Criteria
- All research participants will be consented for broad data sharing. To protect the privacy and confidentiality of the participants, raw video or audio files will not be shared outside of the research team. We do not commit to processing additional data beyond our own needs for the purpose of sharing. Any data we have processed we are willing to share. To request access of the data, researchers will use the standard processes at NDA, and the NDA Data Access Committee will decide which requests to grant. The standard NDA data access process allows access for one year and is renewable. The NDA GUID tool allows researchers to aggregate data from the same research participant without different laboratories having to share personally identifiable information about that research participant. The NDA data dictionaries do not permit personally identifiable information to be shared. NDA maintains a Certificate of Confidentiality.
The demographic and behavioral information will be made available in the form of a comma delimited text file and a code book. We will disguise individuals' identities by redacting birthdates and date of examination from the available records and by replacing names with coded alphanumeric values. When permission is granted, we will deposit all raw, de-identified behavioral and neuroimaging data into the National Institute of Mental Health Data Archive (NDA). The fMRI data will be uploaded to a public repository to improve meta-analyses and data-sharing (NeuroVault, OpenNeuro). To protect the privacy and confidentiality of the participants, raw video or audio files will not be shared outside of the research team. We do not commit to processing additional data beyond our own needs for the purpose of sharing. Any data we have processed we are willing to share. We will submit electronic versions of all accepted manuscripts to the NIH National Library of Medicine PubMed database.