Accelerating Meditation Using Mixed Reality and Neurofeedback
INSTITUTION: Institute for Advanced Consciousness Studies
PROJECT LEADER: Nicco Reggente, Ph.D.
PROJECT DURATION: First year of funding: 2020; Estimated completion: 2025
LAB WEBSITE: AdvancedConsciousness.org
We are developing hyper-personalized meditation assistance technology that identifies periods of self-defined deep meditative states and then encourages subsequent instantiations of such states with neurofeedback. This work leverages machine-learning and neuroimaging (EEG, fNIRS [Kernel Flow 50]) to identify meditator-specific brain-states associated with deep meditative experiences and mixed-reality, audiovisual neurofeedback to behaviorally guide meditators to their self-reported optimal state. The aims of this project are to 1) decrease the amount of time it takes to reach a personally defined deep meditative state, 2) increase the duration of said state, 3) identify the shared neural correlates associated with achieving deep meditative experiences, and 4) optimize the paradigm for naïve meditators.
Broader Impact: If we are successful in reliably inducing meditative states with less friction (i.e. shorter, easier, and less regular practices), the barrier for individuals to reap the expansive benefits of mindfulness would be effectively lowered.
Publications:
Moore, L., Reggente, N., Vaccaro, A., Schoeller, F., Pluimer, B., Douglas, P.K., Iacoboni, M., Kaplan, J. 2022.
Are Robots Sociopaths? A Neuroscientific Approach to the Alignment Problem
PsyArXiv. January 5, 2022.