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Grant Hanada

San Diego Association of Governments

3 papers in the library · 19 citations · publishing 2023-2024

Papers

Decoding Depth of Meditation: Electroencephalography Insights From Expert Vipassana Practitioners

Biological Psychiatry Global Open Science October 17, 2024 Nicco Reggente, Christian Kothe, Tracy Brandmeyer et al. 15 citations

Decoding self-reported meditative depth from EEG recordings is feasible. Expert Vipassana meditators (34 people) reported their depth on a 1–5 scale during two sessions, using either traditional probing or a novel spontaneous emergence method. Machine learning models fused spatial, spectral, and connectivity information from theta, alpha, and gamma bands to predict depth across unseen sessions. The spontaneous emergence method produced more frequent reports and correlated better with post-session outcomes than probing. No single EEG channel or default mode network region captured the complex neural dynamics; multivariate patterns were necessary. The findings suggest potential improvements for neurofeedback in meditation.

Decoding Depth of Meditation: EEG Insights from Expert Vipassana Practitioners

January 31, 2024 Nicco Reggente, Christian Kothe, Tracy Brandmeyer et al. 4 citations preprint

Meditation depth can be decoded from brain activity measured by EEG in expert Vipassana meditators. A novel 'spontaneous emergence' method, where meditators report their depth on a 1-5 scale only when they feel a shift, outperformed traditional periodic probing and correlated more strongly with post-session outcomes. A new machine learning approach that fuses spatial, spectral, and connectivity information achieved the best accuracy in predicting self-reported depth across separate sessions. Conventional EEG channel-level methods and default mode network regions were insufficient to capture the complex neural dynamics. The findings demonstrate the feasibility of decoding personally defined meditative depth and suggest that 'spontaneous emergence' is a less obtrusive, ecologically valid sampling method.

Neural entrainment induced by periodic audiovisual stimulation: A large-sample EEG study

bioRxiv Preprint Server October 25, 2023 Joel Frohlich, Ninette Simonian, Grant Hanada et al. preprint

Stroboscopic or flicker stimulation, which induces geometric hallucinations through closed eyelids, can entrain neural activity at specific frequencies. In a large sample of over 80 participants per condition, EEG recordings showed that multimodal stimulation combining two visual strobe frequencies with binaural beats produced powerful neural entrainment at the slower strobe frequency, resembling effects of conventional non-invasive brain stimulation. This was compared to sham stimulation with very low strobe frequencies and no binaural beats, and to a control group practicing eyes-closed meditation. The findings suggest stroboscopic stimulation warrants further development as a potential therapeutic technique for psychiatric disorders.