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Potash, R. M.

Publications and source records attributed to Potash, R. M..

2 recordsLinked to original sources

Neuroelectrophysiological correlates of extended cessation of consciousness in advanced meditators: A multimodal EEG and MEG study

In some contemplative traditions, "extended cessation" (EC) refers to a state of advanced meditation in which the meditator intentionally suppresses their own consciousness and re-emerges with a profound sense of clarity and equanimity. Here, we present the first electrophysiological study of EC, in which five meditators underwent concurrent electroencephalography (EEG) and magnetoencephalography (MEG) recording. EC significantly reduced alpha power. EC also tended to increase neural complexity, unlike other states in which consciousness is absent (e.g., sleep, anesthesia, disorders of consciousness). Our results indicate that the neural correlates of EC are distinct from other states that induce loss of consciousness and that complexity is not a sufficient condition for consciousness, while also providing new insights into the implications of advanced meditation for human flourishing.

neuroscience↗

Integrated phenomenology and brain connectivity demonstrate changes in nonlinear processing in jhana advanced meditation

We present a neurophenomenological case study investigating distinct neural connectivity regimes during an advanced concentrative absorption meditation called jhana (ACAM-J),characterized by highly-stable attention and mental absorption. Using EEG recordings and phenomenological ratings (29 sessions) from a meditator with +20,000 hours of practice, we evaluated connectivity metrics tracking distinct large-scale neural interactions: nonlinear (WSMI and Directed Information), capturing non-oscillatory dynamics; and linear (WPLI) connectivity metrics, capturing oscillatory synchrony. Results demonstrate ACAM-J are better distinguished by non-oscillatory compared to oscillatory dynamics across multiple frequency ranges. Furthermore, combining attention-related phenomenological ratings with WSMI improves Bayesian decoding of ACAM-J compared to neural metrics alone. Crucially, deeper ACAM-J indicate an equalization of feedback and feedforward processes, suggesting a balance of internally- and externally-driven information processing. The results from this intensively sampled case study are a promising initial step in revealing the distinct neural dynamics during ACAM-J, offering insights into refined conscious states and highlighting the value of nonlinear neurophenomenological approaches to studying attentional states.

neuroscience↗