Integrated phenomenology and brain connectivity demonstrate changes in nonlinear processing in jhana advanced meditation
bioRxiv (Cold Spring Harbor Laboratory) Ruby M. Potash, Sean D. Van Mil, Mar Estarellas et al. 4 citations preprint
During a deep meditative state called jhana, the brain's non-oscillatory, nonlinear neural activity—rather than oscillatory synchrony—best distinguishes the state from ordinary waking consciousness. In a single highly experienced meditator (over 20,000 hours of practice) studied across 29 sessions, EEG recordings showed that combining subjective ratings of attention with a nonlinear connectivity metric improved the ability to decode the meditative state compared to using neural measures alone. Deeper jhana states were marked by a balance between feedback and feedforward neural processes, indicating an equalization of internally and externally directed information processing. These findings suggest that refined conscious states involve distinct large-scale neural dynamics not captured by traditional oscillatory measures.