Decoded Neurofeedback Toward Bias and Racism Mitigation (2021-2022)
Racial bias is a prevailing problem that demands actions. From the tragic death of 17-year-old Trayvon Martin in 2012 to the 8 minute and 46 second kneeling on George Floyd in 2020, understanding why these events occurred is increasingly crucial in promoting social equality. Although racism is a multidimensional issue that is culturally and socially embedded, the root of it lies in categorical thinking, which distorts perceptions and causes ingroup bias.
While advanced neuroimaging technology has shed light on specific brain regions that mediate biases, no specific treatments are currently available to downregulate this complex phenomenon at the system neuroscience level. However, a novel neural intervention method, neurofeedback, which induces specific changes in brain activity patterns, has proven effective in mitigating obsessive compulsive disorder, autism spectrum disorder, depression and schizophrenia; subconsciously modulating confidence; and reducing phobia for common fears. This project aims to apply this proven line of neurofeedback technique to downregulate ingroup bias and alleviate racist tendency.
This team sought to understand the neural basis of ingroup bias through advanced functional neuroimaging; validate the effectiveness of decoded neurofeedback on the downregulation of neural representation underlying ingroup bias; develop a proof-of-concept protocol for clinical applications; extend fMRI decoded neurofeedback methods to “modulate” racial biases; and raise public awareness that biases could be modulated.
Learn more about this project team by viewing the team's video.
Timing
Summer 2021 – Summer 2022
Team Outputs
Decoded neurofeedback model applicable for reducing in-group bias
This Team in the News
During Pandemic, Duke and Duke Kunshan Students Find a Home at the Other Campus
Neurofeedback Taking on In-group Bias
See related team, Decoded Neurofeedback Toward Bias and Racism Mitigation (2022-2023).
Image: fMRI Image of Preteen Brain, by NIH Image Gallery, licensed under CC BY-NC 2.0
Team Leaders
- Sze chai Kwok, Duke Kunshan University
- James Moody, Arts & Sciences-Sociology
- Joseph Quinn, Arts and Sciences-Sociology-Ph.D. Student
/undergraduate Team Members
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Jenny Li, Sociology (AB)
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Anqi Xie, Neuroscience (BS)
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Zhou Xia, DKU Interdisciplinary Studies (BS)
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Sihan Wang, DKU Interdisciplinary Studies (BS)
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Chenyu Wang, DKU Interdisciplinary Studies (BS)
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Casey Szilagyi, Electrical & Computer Egr(BSE)
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Reah Syed, Biology (BS)
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Eliana Shapiro, Neuroscience (AB)
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Catherine Mbata
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Mackenzie Martinez, Biology (BS)
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Yushi Li, DKU Interdisciplinary Studies (BS)
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Anu Aggarwal, Neuroscience (BS)
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Dunhan Jiang, DKU Interdisciplinary Studies (BS)
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Imani Hall, Neuroscience (BS)
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Abigail Groth, Biology (BS)
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Greta Cywinska, Neuroscience (BS)
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Arunangshu Chakrabarty, Biomedical Engineering (BSE)
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Morgan Biele, Neuroscience (BS)
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Alexandra Bayer, Political Science (AB)
/yfaculty/staff Team Members
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Yudian Cai, Duke Kunshan University
/zcommunity Team Members
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Jianqi Li, East China Normal University
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Advanced Telecommunications Research Institute International
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Shanghai Key Laboratory of Magnetic Resonance