ArticleDevelopmental cognitive neuroscience2025
Modality-level obstacles and initiatives to improve representation in fetal, infant, and toddler neuroimaging research samples.
Article in Developmental cognitive neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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Who cites it
10 citing papers in PubMed.
- Power struggles: Absolute vs. relative EEG power in developmental neuroscience.Developmental cognitive neuroscience · 2026Article
- Bridging the gap: Translating fetal, infant, and toddler neuroimaging insights into clinical practice.Developmental cognitive neuroscience · 2026Review
- Deep learning in fetal, infant, and toddler neuroimaging research.Developmental cognitive neuroscience · 2026Review
- The emergence of the language system in the toddler brain.bioRxiv : the preprint server for biology · 2026Article
- Developing Best Practices for Inclusion in fNIRS Research: Equity for Participants With Afro-Textured Hair.Developmental psychobiology · 2026Review
- Investigating the effect of channel pruning on functional near-infrared spectroscopy data collected from children aged 5 to 24 months.Neurophotonics · 2026Article
- Utilizing functional neuroimaging to study early language development.Developmental cognitive neuroscience · 2025Review
- Highlights of the 2023 Fetal, Infant, and Toddler Neuroimaging Group annual meeting.Developmental cognitive neuroscience · 2025Article
- Development of brain metastable dynamics during the equivalent of the third gestational trimester.Developmental cognitive neuroscience · 2025Review
- Inhibitory control development from infancy to early childhood: A longitudinal fNIRS study.Developmental cognitive neuroscience · 2025Article
Corrections and comments
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Authors and funding
14 authors.
Funding
Abstract
Fetal, infant, and toddler (FIT) neuroimaging researchers study early brain development to gain insights into neurodevelopmental processes and identify early markers of neurobiological vulnerabilities to target for intervention. However, the field has historically excluded people from global majority countries and from marginalized communities in FIT neuroimaging research. Inclusive and representative samples are essential for generalizing findings across neuroimaging modalities, such as magnetic resonance imaging, magnetoencephalography, electroencephalography, functional near-infrared spectroscopy, and cranial ultrasonography. These FIT neuroimaging techniques pose unique and overlapping challenges to equitable representation in research through sampling bias, technical constraints, limited accessibility, and insufficient resources. The present article adds to the conversation around the need to improve inclusivity by highlighting modality-specific historical and current obstacles and ongoing initiatives. We conclude by discussing tangible solutions that transcend individual modalities, ultimately providing recommendations to promote equitable FIT neuroscience.
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Registered trials
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.