ArticleFrontiers in integrative neuroscience2022
A perspective on enhancing representative samples in developmental human neuroscience: Connecting science to society.
Article in Frontiers in integrative neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- Mind the Cap: Inclusivity Gaps in EEG Research.Psychophysiology · 2026Article
- Fostering inclusive participation in non-invasive neurotechnology research: a community-based study with an underrepresented population.Frontiers in human neuroscience · 2026Article
- Who Participates in Research and Why: Reducing Barriers to Diversifying Samples in Developmental Psychobiology.Developmental psychobiology · 2026Article
- Modality-level obstacles and initiatives to improve representation in fetal, infant, and toddler neuroimaging research samples.Developmental cognitive neuroscience · 2025Article
- Stuttering: Our Current Knowledge, Research Opportunities, and Ways to Address Critical Gaps.Neurobiology of language (Cambridge, Mass.) · 2025Review
- Balancing Data Quality and Bias: Investigating Functional Connectivity Exclusions in the Adolescent Brain Cognitive Development℠ (ABCD Study) Across Quality Control Pathways.Human brain mapping · 2025Article
- Conceptualizing an antiracist framework for neuroscience research in art therapy: a qualitative pilot study.Frontiers in human neuroscience · 2025Article
- Increasing diversity in neuroimaging research: Participant-driven recommendations from a qualitative study of an under-represented sample.Developmental cognitive neuroscience · 2024Article
- Mother-child closeness and adolescent structural neural networks: a prospective longitudinal study of low-income families.Social cognitive and affective neuroscience · 2024Article
- The HEALthy Brain and Child Development Study (HBCD) experience: Recruiting and retaining diverse families in a longitudinal, multi-method early childhood study.Developmental cognitive neuroscience · 2024Article
- Review of the Brain's Behaviour after Injury and Disease for Its Application in an Agent-Based Model (ABM).Biomimetics (Basel, Switzerland) · 2024Review
- Why and how to collect representative study samples in educational neuroscience research.Trends in neuroscience and education · 2024Review
- Growing Up Together in Society (GUTS): A team science effort to predict societal trajectories in adolescence and young adulthood.Developmental cognitive neuroscience · 2024Article
- From developmental neuroscience to policy: A novel framework based on participatory research.Developmental cognitive neuroscience · 2024Review
- Recommendations for the responsible use and communication of race and ethnicity in neuroimaging research.Nature neuroscience · 2024Review
- Parents' perceptions of parental consent procedures for social science research in the school context.International journal of social research methodology · 2024Article
- Socioeconomic Status and Reading Development: Moving from "Deficit" to "Adaptation" in Neurobiological Models of Experience-Dependent Learning.Mind, brain and education : the official journal of the International Mind, Brain, and Education Society · 2023Article
- Systems Thinking in an era of climate change: Does cognitive neuroscience hold the key to improving environmental decision making? A perspective on Climate-Smart Agriculture.Frontiers in integrative neuroscience · 2023Article
- A call to leverage a health equity lens to accelerate human neuroscience research.Frontiers in integrative neuroscience · 2023Article
- Increasing diversity in developmental cognitive neuroscience: A roadmap for increasing representation in pediatric neuroimaging research.Developmental cognitive neuroscience · 2022Review
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Marginalized groups are often underrepresented in human developmental neuroscientific studies. This is problematic for the generalizability of findings about brain-behavior mechanisms, as well as for the validity, reliability, and reproducibility of results. In the present paper we discuss selection bias in cohort studies, which is known to contribute to the underrepresentation of marginalized groups. First, we address the issue of exclusion bias, as marginalized groups are sometimes excluded from studies because they do not fit the inclusion criteria. Second, we highlight examples of sampling bias. Recruitment strategies are not always designed to reach and attract a diverse group of youth. Third, we explain how diversity can be lost due to attrition of marginalized groups in longitudinal cohort studies. We provide experience- and evidence-based recommendations to stimulate neuroscientists to enhance study population representativeness
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