New Framework Offers Practical Measures for Brain Consciousness States
Researchers have developed a measurement system to assess consciousness across sleep, anesthesia, and seizures by tracking how information moves through neural networks rather than relying on energy or capacity metrics alone. The approach could improve diagnostic accuracy and help predict treatment responses in neurological conditions affecting millions of patients.
Originaltitel: Adaptive Capacity, Transport Capture, and Structural Accessibility: A Multi-Scale Evaluation of Noetic Diffusion Theory
This article evaluates Noetic Diffusion Theory as a multi-scale, measurement-facing framework for consciousness research. It argues that conscious-level interpretation should not rely on entropy, occupancy, or capacity alone, but on C/TI/P regime geometry: capacity collapse, transport-innovation balance, and pathological lock-in. Evidence from sleep, propofol, and epilepsy is integrated with MNPS, MNJ, reachability, NeuralManifoldDynamics, and a speculative cytoskeletal-dendritic accessibility bridge.