What question did this study set out to answer?

The study aims to analyze neural activity dynamics across various extreme states of consciousness using Noetic Diffusion Theory.

March 26, 2026Open Access

Extreme Neurodynamic Regimes Reveal Meta–Noetic Dissociations

Key Points

The study aims to analyze neural activity dynamics across various extreme states of consciousness using Noetic Diffusion Theory.
Utilized Noetic Diffusion Theory for analyzing neural activity.
Embedded neural time series in a Meta–Noetic Phase Space.
Conducted second-order flow analysis using the Meta–Noetic Jacobian.
Applied a unified analytical pipeline to EEG and fMRI datasets.
Identified regime-specific dissociations in neural activities.
Revealed principled null results for certain conditions.
Demonstrated both the usefulness and limitations of dynamical state-space approaches.

Abstract

This work presents Noetic Diffusion Theory (NDT) as a dynamical framework for analyzing neural activity across extreme neurodynamic regimes, including anesthesia, sleep, psychedelics, epilepsy, psychosis, and neurodegeneration. Neural time series are embedded in a Meta–Noetic Phase Space (MNPS), extended via stratification and second-order flow analysis using the Meta–Noetic Jacobian (MNJ). Applying a unified pipeline to multiple EEG and fMRI datasets, the study reveals regime-specific dissociations and principled null results, highlighting both the utility and limits of dynamical state-space approaches to consciousness research.

Extreme Neurodynamic Regimes Reveal Meta–Noetic Dissociations

Key Points

Abstract

Cite This Study