Ruby M. Potash

This study examines electrophysiological changes during meditation-induced extended cessation of consciousness using EEG microstate analysis, finding a reconfiguration of brain dynamics associated with reduced self-related processing and increased integrative activity.

This study uses fMRI to analyze neural changes during jhana-type meditation, finding reproducible brain patterns linked to attentional stability and reduced suffering.

The paper uses whole-brain modeling to analyze brain dynamics during advanced meditation states, finding increased functional integration and near-critical dynamics in later states associated with minimal phenomenal experience.

This study examines the neuroelectrophysiological correlates of extended cessation (EC) in meditators using EEG and MEG, finding increased high-frequency global coherence during EC compared to other unconscious states.

This paper uses 7T fMRI to study brain activity during an advanced meditative state called extended cessation, finding changes in brain regions and connectivity patterns.

This study examines neural connectivity during advanced meditation using EEG and phenomenological ratings, finding that nonlinear dynamics better distinguish meditation states than linear metrics.