What question did this study set out to answer?

To model neural recovery following axonal shearing using a topological optimization approach with Resonant Scaling Theory.

March 8, 2026Open Access

Scale-Analogous Coupling in Neural Recovery: A Topological Framework for Post-Axonal Shearing Stabilisation

Key Points

To model neural recovery following axonal shearing using a topological optimization approach with Resonant Scaling Theory.
Developed Resonant Scaling Theory (RST) v6.1 for neural recovery modeling.
Analyzed data from 581 clinical EEG files (TUH-EEG Corpus).
Identified a universal 6.1-second ignition delay and a 39 Hz resonance constant.
Confirmed the resonance constant at 39 Hz with R²=0.1789, p<0.001.
Introduced a 5:1 phase-locking hypothesis linked to the Schumann Resonance and established falsifiability criteria.

Abstract

This paper presents Resonant Scaling Theory (RST) v6.1, a framework modelling neural recovery following axonal shearing as a topological optimisation problem. We identify a universal 6.1-second ignition delay and 39 Hz resonance constant validated across 581 clinical EEG files (TUH-EEG Corpus, R²=0.1789, p<0.001). An exploratory 5:1 phase-locking hypothesis linking 39 Hz to the Schumann Resonance is presented with defined falsifiability criteria. All tools released under Apache 2.0 open-source license.

Scale-Analogous Coupling in Neural Recovery: A Topological Framework for Post-Axonal Shearing Stabilisation

Key Points

Abstract

Cite This Study