New Brain Imaging Metric Flags Sleep Disorders and Seizures With Striking Accuracy
Researchers have identified a geometric fingerprint in brain activity that reliably distinguishes sleep stages, seizures, and dementia—without relying on traditional entropy measures. The finding could streamline clinical diagnostics and improve how hospitals monitor high-risk neurological patients, potentially reducing delays in treatment and enabling faster, cheaper screening tools.
Originaltitel: Reachability Cones as Local Capacity Geometry in Noetic Diffusion Theory
Reachability Cones introduces a local control-geometric capacity measure in Noetic Diffusion Theory: short-horizon reachability covariances propagated from locally linear MNPS dynamics and innovations. Across extreme EEG/iEEG/fMRI regimes, cone size, anisotropy, effective dimensionality, rotation, and persistence yield stable signatures in sleep staging, seizures, and stratified dementia blocks, with informative near-null results in other contrasts.