Evidence map›Paper›PMID 41272904›Full record

ArticleSystematic reviews2025

Neuroimaging in pediatric language development and disorders: a scoping review protocol.

Ruochen Ning, Karla N Washington

Abstract read
In one paragraph

Article in Systematic reviews, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Ruochen NingDepartment of Speech-Language Pathology, University of Toronto, 500 University Avenue, Toronto, Canada. ning.ruochen@utoronto.ca.ORCID 0000-0002-1156-7147
Karla N WashingtonDepartment of Speech-Language Pathology, University of Toronto, 500 University Avenue, Toronto, Canada.

Funding

Neuroimaging Reveals Treatment-Related Changes in DLD: A Randomized Controlled TrialR01DC019337 · NIDCD · UNIVERSITY OF TORONTO · PI Karla N Washington · 2021 to 2026
$3.5M
CIHR CRC-2022-00366Foundation for the National Institutes of Health 5R01DC19337-05NIDCD NIH HHS R01 DC019337
6 · The paper itself

Abstract

backgroundInfancy and early childhood represent critical periods for language development, as well as for the diagnosis and intervention of language disorders. Neuroimaging techniques, such as functional magnetic resonance imaging (fMRI), diffusion tensor imaging (DTI) and magnetoencephalography (MEG), have revolutionized our understanding of the brain's role in language development and disorders. These techniques provide detailed insights into the neural mechanisms underlying language acquisition and the deviations associated with language disorders. However, there is a notable lack of comprehensive literature reviews on the application of neuroimaging techniques in studying pediatric language development and disorders, particularly in children under eight years old in the field of speech-language pathology. This gap in the literature hinders the ability to form a cohesive understanding of the current state of research and its clinical implications, i.e., garnering an understanding of the contributions of these technological tools in understanding language development and disorders.

methodsTo address this gap, we will conduct a scoping review to synthesize literature involving neuroimaging techniques that examines language development and disorders in typically developing children and those diagnosed with language disorders under the age of eight. This review will be guided by the methodological framework proposed by Arksey and O'Malley [18]. A comprehensive and systematic search will be performed across multiple databases (MEDLINE, Embase, EBSCO CINAHL, PsycINFO, SCOPUS, and The Cochrane Library) to identify relevant peer-reviewed publications as well as grey literature. Studies will be screened according to predefined inclusion criteria. Key data from eligible studies will be extracted, synthesized and presented using both quantitative (numerical) and qualitative (narrative) approaches to address the research questions. DISCUSSION: This scoping review aims to provide a comprehensive overview and summary of the methodologies and key findings in neuroimaging studies related to pediatric language development and disorders. The results will identify critical gaps in the current research, highlight the strengths and limitations of various neuroimaging techniques, and suggest future research directions in the field of pediatric neuroimaging for language development. SYSTEMATIC REVIEW REGISTRATION: Open Science Framework (osf.io/5jhk6).

Indexed as

BrainLanguage DevelopmentLanguage Development DisordersLanguage DisordersNeuroimagingChildChild, PreschoolDiffusion Tensor ImagingHumansInfantMagnetic Resonance ImagingMagnetoencephalographyScoping Reviews as TopicLanguage acquisitionLanguage developmentLanguage disordersLanguage networkNeuroimaging

Identifiers

PMID41272904
PMCPMC12639962

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.