Nicco Reggente, Ph.D.

Nicco Reggente, Ph.D. is a neuroscientist and co-founder of the Institute for Advanced Consciousness Studies where he currently serves as Principal Investigator. The overarching theme of his research is the development of neuroimaging-informed, personalized neurotechnology to help individuals achieve desired outcomes. Nicco’s research has spanned the domains of memory, consciousness, and psychiatric disorders. His current focus is on leveraging immersive technology to induce maximally beneficial qualia (e.g. meditative, entheogenic states) that can be captured and re-instantiated via neurofeedback. Dr. Reggente is passionate about creating research environments that combine academic rigor with startup culture, permitting for rapid deployment of empirically validated and ecologically valid neurotechnology. He currently serves as Principal Investigator on all research projects at IACS.

Graduate

University of California Los Angeles (UCLA): Ph.D. in Psychology (Major: Cognitive Neuroscience); M.A. in Cognitive Neuroscience.

Undergraduate

New York University (NYU); 2 B.A. Degrees in Philosophy and Psychology

Representative Publications

• Reggente, N., Moody, T. D., Morfini, F., Sheen, C., Rissman, J., O’Neill, J., & Feusner, J. D. (2018). Multivariate resting-state functional connectivity predicts response to cognitive behavioral therapy in obsessive–compulsive disorder. Proceedings of the National Academy of Sciences, 115(9), 2222-2227. [Article]
• Reggente, N., Essoe, J. K., Baek, H. Y., & Rissman, J. (2020). The method of loci in virtual reality: explicit binding of objects to spatial contexts enhances subsequent memory recall. Journal of Cognitive Enhancement, 4, 12-30. [Article]
• Reggente, N., Essoe, J. K. Y., Aghajan, Z. M., Tavakoli, A. V., McGuire, J. F., Suthana, N. A., & Rissman, J. (2018). Enhancing the ecological validity of fMRI memory research using virtual reality. Frontiers in neuroscience, 12, 408. [Article]
• Zheng, Z. S., Reggente, N., Lutkenhoff, E., Owen, A. M., & Monti, M. M. (2017). Disentangling disorders of consciousness: Insights from diffusion tensor imaging and machine learning. Human brain mapping, 38(1), 431-443. [Article]
• Christov-Moore, L., Reggente, N., Douglas, P. K., Feusner, J. D., & Iacoboni, M. (2020). Predicting empathy from resting-state brain connectivity: A multivariate approach. Frontiers in integrative neuroscience, 14, 3. [Article]

Skills