Relative Spectral Load and Cross-Band Coupling in Scalp EEG: A Signal- Level Working Hypothesis

Scalp EEG is routinely decomposed into canonical frequency bands (delta, theta, alpha, beta, gamma).These bands are often treated as semi-independent features. A simpler signal-level hypothesis is that bandpowers can behave as coupled relative loads on a shared ongoing background, so that condition changesredistribute spectral weight rather than only raising or lowering isolated peaks. This short note states thathypothesis without psychological or metaphysical interpretation, lists falsifiable predictions, and outlinesminimal analyses—relative band power, envelope correlation, and optional cross-frequency coupling—suitable for small-N or self-pilot EEG. The aim is technical evaluation of the energy-interaction claimonly

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-08-20
DOI
https://doi.org/10.5281/zenodo.22035114
Primary Topic
EEG and Brain-Computer Interfaces
Type
preprint
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preprint

Relative Spectral Load and Cross-Band Coupling in Scalp EEG: A Signal- Level Working Hypothesis

John Finney
Zenodo (CERN European Organization for Nuclear Research)
EEG and Brain-Computer Interfaces
preprint

Relative Spectral Load and Cross-Band Coupling in Scalp EEG: A Signal- Level Working Hypothesis

John Finney
preprint en

Abstract

Scalp EEG is routinely decomposed into canonical frequency bands (delta, theta, alpha, beta, gamma).These bands are often treated as semi-independent features. A simpler signal-level hypothesis is that bandpowers can behave as coupled relative loads on a shared ongoing background, so that condition changesredistribute spectral weight rather than only raising or lowering isolated peaks. This short note states thathypothesis without psychological or metaphysical interpretation, lists falsifiable predictions, and outlinesminimal analyses—relative band power, envelope correlation, and optional cross-frequency coupling—suitable for small-N or self-pilot EEG. The aim is technical evaluation of the energy-interaction claimonly

Zenodo (CERN European Organization for Nuclear Research)
Affordable and clean energy
EEG and Brain-Computer Interfaces
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