Summary:
This article shows how neuroscience research can evolve to address racial inequity not just through findings but through an ethical background. By combining community-based participatory research (CBPR), positionality mapping, and reflexivity, neuroscience can become more inclusive and better attuned to the lived experiences of marginalized groups. It spotlights how structural bias in neuroimaging studies — such as lack of demographic diversity and exclusionary sampling — has limited generalizability and reinforced disparities. The piece proposes integrating Community Advisory Boards and positionality statements as standard practices in labs, helping researchers confront bias at every stage, from hypothesis formation to data interpretation. It would be interesting to include the SCBT framework we focus on.
Introduction:
Neuroscience has rapidly expanded as a field that can reveal the biological underpinnings of cognition, emotion, and behavior. Neuroimaging technologies, such as fMRI and EEG, have become standard tools for studying the human brain, yielding insights that inform medicine, psychology, and even public policy. Yet beneath these scientific advances lies a persistent and underacknowledged issue: the racial equity gap in neuroscience. The overwhelming reliance on WEIRD (Western, Educated, Industrialized, Rich, Democratic) samples limits the generalizability of findings, while exclusionary recruitment strategies and interpretive biases perpetuate inequities. These structural imbalances risk reproducing the very disparities that neuroscience could otherwise help to dismantle.
The pursuit of equity in neuroscience is not simply a matter of diversifying samples or adjusting recruitment protocols. It requires a deeper reimagining of the research process itself, one that foregrounds ethics, accountability, and the lived experiences of marginalized communities. This article proposes that practices drawn from community-based participatory research (CBPR), positionality mapping, and reflexivity offer essential tools for addressing inequities in neuroscience. Furthermore, frameworks such as Structured Cognitive Behavioral Training (SCBT), developed by the Racial Equity Consciousness Institute (RECI), offer structured, action-oriented models for integrating racial equity consciousness into both training and research. By integrating these practices, neuroscience can move from a paradigm of inclusion as an afterthought to one of equity as a structural principle.
Structural Bias in Neuroscience Research
One of the most pressing concerns in neuroscience is the structural bias embedded in its research practices. Sampling bias is perhaps the most visible. A large majority of neuroimaging studies recruit participants who are white, middle-class, college-educated, and often monolingual in English. Marginalized communities are underrepresented, not only due to historical mistrust of research institutions but also because of structural barriers such as a lack of transportation, restrictive eligibility criteria, or language requirements in study protocols.
The implications of this bias are profound. When neuroscientific findings are generalized to “human cognition” or “the human brain,” they often reflect the characteristics of a very narrow subset of humanity. Studies on executive function, memory, or stress response may therefore miss critical variations rooted in cultural context, socioeconomic status, and lived experiences of racism. For example, research on neural correlates of stress often fails to account for the chronic and systemic stressors — such as discrimination, housing insecurity, and intergenerational trauma — that disproportionately affect communities of color. This oversight leads to conclusions that are not only incomplete but also potentially harmful, reinforcing deficit-based narratives about marginalized groups.
Moreover, structural bias is not confined to recruitment. It permeates every stage of the research process, from hypothesis formation to data interpretation. Questions that are asked, or left unasked, reflect the positionality of researchers, who often belong to majority groups and carry their own implicit assumptions. Without intentional reflection and accountability, neuroscience risks reinforcing social hierarchies under the guise of scientific objectivity.
Community-Based Participatory Research (CBPR) as a Corrective
Community-Based Participatory Research (CBPR) offers a promising corrective to these inequities. CBPR is a collaborative approach in which researchers and community members work as equal partners throughout the research process. Rather than positioning communities as passive subjects, CBPR recognizes them as co-creators of knowledge, with expertise rooted in their lived experiences. This approach has been widely used in public health, where it has improved trust, enhanced the cultural relevance of interventions, and increased uptake of findings.
Applied to neuroscience, CBPR could transform the way studies are designed and implemented. For example, Community Advisory Boards (CABs) could become integral components of neuroscience labs. CABs composed of community members, educators, and advocates could help shape research questions so they reflect community priorities rather than solely academic interests. They could also advise on recruitment strategies that reduce barriers to participation, ensuring that marginalized groups are not excluded due to logistical or cultural factors.
Importantly, CBPR also changes the direction of knowledge dissemination. Instead of findings being locked away in academic journals, results are returned to communities in accessible forms, empowering them to utilize the knowledge generated. For neuroscience, this could mean sharing findings with schools, health clinics, or advocacy groups in ways that directly support community well-being. CBPR, therefore, ensures that neuroscience does not simply study inequity but actively works against it.
Positionality and Reflexivity in Neuroscience
While CBPR strengthens the relationship between researchers and communities, advancing racial equity also requires internal work within the field of neuroscience itself. This is where positionality and reflexivity come into play. Positionality refers to the ways in which a researcher’s identity, social location, and worldview shape their approach to research. A neuroscientist’s race, class, gender, or cultural background inevitably influences the questions they ask, the methods they prioritize, and the interpretations they make. Positionality mapping, therefore, is the practice of explicitly acknowledging these influences — not as confounds to be minimized but as realities to be recognized.
Reflexivity extends this practice further by requiring ongoing self-examination throughout the research process. Reflexive researchers actively interrogate their assumptions, considering how power dynamics may influence their work. For example, a lab studying neural responses to stress might reflect on whether their definitions of “stressful stimuli” align with the experiences of diverse communities. Without such reflexivity, neuroscience risks applying narrow or culturally specific constructs inappropriately across populations.
One concrete step forward is the adoption of positionality statements in neuroscience publications. Similar to conflict-of-interest disclosures, positionality statements encourage researchers to describe how their backgrounds and perspectives may have shaped their work. Although still rare in neuroscience, such practices are becoming increasingly common in fields such as anthropology and education. If standardized, they could help normalize transparency and accountability in neuroscience, fostering a culture where equity considerations are embedded in the research process.
Frameworks for Integration: Structured Cognitive Behavioral Training (SCBT)
While CBPR, positionality, and reflexivity provide methodological tools, broader frameworks are needed to integrate equity considerations into the culture of neuroscience training and practice. One such model is Structured Cognitive Behavioral Training (SCBT), developed by the Racial Equity Consciousness Institute (RECI) at the University of Pittsburgh. SCBT is designed to cultivate racial equity consciousness through a systematic, module-based approach that blends cognitive and behavioral strategies. Rather than relying on one-off diversity workshops, SCBT provides sequenced learning pathways that guide participants through critical milestones: recognizing racial oppression and advancing liberation; reflecting on racial identities and biases; building racial literacy and cultural appreciation; cultivating empathy, resilience, and racial stamina; acknowledging trauma and fostering healing; and measuring inequities while creating justice-oriented strategies. By engaging in this structured process, participants develop not only awareness but also practical capacity to enact change. The RECI program, for example, is organized into seven sessions that combine education, reflection, and applied practice.
For neuroscience, SCBT offers a valuable model for integrating equity training into research environments. Structured equity modules could be introduced into lab orientations or graduate training, equipping researchers to critically assess recruitment strategies, interpret neural data through cultural contexts, and build community accountability into their work. SCBT also offers opportunities for measurement — RECI’s research arm explores how SCBT influences not only attitudes but also cognitive, behavioral, and even neural responses, making it directly relevant to neuroscience inquiry. By adopting SCBT-inspired practices, neuroscience can move beyond symbolic commitments to equity and toward a structured, evidence-based approach for embedding racial equity consciousness into scientific culture.
Proposed Practices to Advance Equity in Neuroscience
Drawing from CBPR, positionality, reflexivity, and SCBT, several concrete practices could help neuroscience advance racial equity.
- First, Community Advisory Boards should be standardized in neuroscience labs to guide study design, recruitment, and dissemination.
- Second, positionality statements should be mandated in journal submissions to encourage transparency about the researcher’s identity and perspective.
- Third, equity training modules inspired by SCBT should be integrated into lab onboarding and graduate programs.
- Fourth, demographic accountability should be required in datasets, ensuring diversity is reported and considered in interpretation.
- Finally, interdisciplinary collaborations between neuroscientists, social scientists, and community organizations should be actively encouraged.
Conclusion
Neuroscience sits at a powerful intersection. It has the tools to illuminate fundamental aspects of human experience, yet it also carries the risk of reproducing inequities if pursued uncritically. Addressing racial equity requires more than diversifying datasets; it demands restructuring the way research is conceptualized, conducted, and interpreted.
By adopting practices from CBPR, positionality mapping, and reflexivity, and by integrating structured frameworks such as SCBT, neuroscience can begin to close the equity gap in meaningful ways. These approaches push the field to see communities not as subjects but as collaborators, to recognize researchers not as neutral observers but as situated actors, and to embed equity not as an optional add-on but as a structural foundation. If neuroscience embraces this transformation, it can produce research that not only advances knowledge but also contributes to justice — illuminating not only how the brain works, but how it can work toward equity.
