Minority Language Genocide And Cultural Awarness
Each year, new neuroscience studies claim to uncover the hidden mechanisms of racial bias, often with the help of colorful fMRI scans and complex statistical models. We’ve seen research measuring amygdala activation in response to Black versus white faces (Phelps et al., 2000), or linking differences in prefrontal cortex activity to the inhibition of prejudiced responses (Cunningham et al., 2004; Richeson & Shelton, 2003). These studies promise insight into how racism “lives in the brain.” But too often, they fall short of asking the most important question:
Whose brains are we studying, and what do we hope to change by doing so? As a neuroscience researcher and Brackenridge Research Fellow working with the Racial Equity Consciousness Institute (RECI), I’ve spent this summer not only thinking about how we study the brain, but also why. I’ve come to believe that while neuroscience cannot fix racism, it can be a powerful tool if we approach it with equity at the center.
A large portion of what we know about implicit racial bias in the brain comes from studies using neuroimaging tools like fMRI or EEG. These tools have mapped out predictable neural responses to race-related stimuli, particularly in areas such as the amygdala and dorsolateral prefrontal cortex, which are associated with emotional salience and cognitive control (Cunningham et al., 2004). These findings are often cited as evidence that racism is automatic, unconscious, and deeply rooted in neural pathways.
“Implicit biases are often better at predicting discriminatory behavior than people’s conscious values and intentions” (Godsil, Tropp, Goff, &; Powell, 2014, p. 12). But the problem is that these conclusions are being drawn from data that is overwhelmingly white, Western, and middle-class. The people being scanned in these studies often do not reflect the communities most affected by structural racism. The environments in which the research takes place, such as university labs, funding mechanisms, and even publication standards, are also influenced by biases. They are shaped by the same racial dynamics that the research claims to investigate.
This disconnect raises urgent questions. What does it mean to study racial bias in the brain if your study participants come from a racially homogeneous population? How do factors like cultural context, socioeconomic background, and lived experience shape the brain’s response to race?
Often, findings are interpreted in ways that reinforce individualistic narratives: bias is something that resides in the brain and can be trained away with the right intervention. This frame shifts attention away from the structural conditions that reproduce racial inequity, like housing, policing, education, and healthcare. “Implicit bias and perception are often seen as individual problems when, in fact, they are structural barriers to equality.” (McGill Johnson et al., 2014, p. 4)
What we need instead is a new model, one that integrates racial equity and neuroscience. This model does not throw out the tools of neuroscience but insists that they be used in ways that are equitable, interdisciplinary, and contextually grounded.
At RECI, we talk about racial equity as a shift in both consciousness and structure. That’s where neuroscience can play a transformative role. Racism is a public health crisis, and neuroscience can help us understand not just how people respond to racialized environments, but how those environments shape the brain over time. Tools like fMRI can be used not only to detect bias but to map the effects of chronic stress, trauma, exclusion, and anxiety on neural development.
The field is slowly moving in this direction. Community-based participatory research (CBPR) models are being adopted in neuroscience, allowing communities to co-create research questions and interpret findings.
This is something that RECI has implemented on its own through its Structured Cognitive Behavioral Training (SCBT) framework. SCBT is an organized, cognitive-based process that employs systematic, highly structured practices to break down socialized, unconscious biases and behaviors, replacing them with behaviors that are more aligned with personal values and motivations.
As a young researcher, I’m learning that science is not just about answers, but it’s about asking better questions. In my Brackenridge Fellowship project, I hope to explore how RECI’s racial equity curriculum might shape participants’ neural markers of emotional regulation and self-reflection. I also hope to better answer questions when we conduct the official study with RECI to the neurobiological correlates of the intervention by determining the neural responses underlying interracial anxiety before and after the RECI intervention.
The neuroscience community must resist the allure of oversimplified answers. Racism does not reside solely in the brain, but is also influenced by external factors. However, by combining the biological and the social, and treating brain data as context, we can build research that moves us closer to equity.
This means doing the slow work: recruiting diverse participants, working with communities rather than on them, and asking questions that don’t just serve academic curiosity but also meet community needs. It means resisting the tendency to depoliticize findings in neuroscience and instead embracing their implications for justice.
Neuroscience can’t fix racism. But it can illuminate how racism works psychologically, physiologically, and socially. It can help us understand the toll of inequality and the pathways to healing. And most importantly, it can help us hold space for complexity. The brain is not a solution, but a mirror. And if we’re willing to look carefully and ask the right questions, it can show us a way forward.
References
Cunningham, W. A., Johnson, M. K., Raye, C. L., Gatenby, J. C., Gore, J. C., & Banaji, M. R. (2004). Separable neural components in the processing of Black and White faces. *Psychological * *Science, 15* (12), 806–813. https://doi.org/10.1111/j.0956-7976.2004.00760.x
McGill Johnson, A., Godsil, R. D., Tropp, L. R., Goff, P. A., & Powell, J. A. (2014). *The science of equality, volume 1: Addressing implicit bias, racial anxiety, and stereotype threat in education **and health care* (p. 4). Perception Institute. **https://equity.ucla.edu/wp-content/uploads/2019/12/Science-of-Equality-V ol.-1-Perception-Institute-2014.pdf
Phelps, E. A., O’Connor, K. J., Cunningham, W. A., Funayama, E. S., Gatenby, J. C., Gore, J. C., & Banaji, M. R. (2000). Performance on indirect measures of race evaluation predicts amygdala activation. *Journal of Cognitive Neuroscience, 12* (5), 729–738. https://doi.org/10.1162/089892900562552
Richeson, J. A., & Shelton, J. N. (2003). When prejudice does not pay: Effects of interracial contact on executive function. *Psychological Science, 14* (3), 287–290. https://doi.org/10.1111/1467-9280.03437
