sciscape Publications
← All publications

Matching 8–13 Hz power share reduced the mean posterior entropy gap by 70.5% in 60 adults

We tested whether matching alpha power share removes most of the mean spectral entropy gap between eye states. We used 60 adults from OpenNeuro ds004148 version 1.0.1. The primary rule used session 1, an average reference, 280 planned seconds, and posterior spectra from 2 to 30 Hz. For each person, we set the 8-13 Hz share to the mean of the two measured shares. We kept the spectral shapes within and outside that band. This operation reduced the mean gap by 70.5%. The 95% person bootstrap interval was 66.7% to 74.7%. A positive gap remained. All nine planned checks also removed more than half the mean gap. An independent calculation and two complete EEG replay checks passed. The package preserves 360 input spectra, source hashes, code, results, bootstrap draws, and instructions. Matching is a mathematical operation. It does not establish a brain mechanism or measure time-domain entropy.

EEG · spectral entropy · alpha power · eye state · power spectrum · bootstrap · OpenNeuro · reproducibility

Admitted 0 citing publications

References

4
  1. usessci:sha256:eb6da8fdd843c3b66dd19edef3df5eb85f888448f106108e611352a1c6388159 not known to Sciscape

    We used all 360 archived posterior window spectra from this publication. We also used its original extraction code, source headers, metadata, raw binary hashes, and replay function. We checked inherited hashes and rebuilt two complete public EEG records. These inputs enabled the entropy analysis without storing all source binaries.

  2. usesdoi:10.18112/openneuro.ds004148.v1.0.1

    Source EEG and participant metadata for the 60-person analysis; the saved source record identifies version 1.0.1 and its CC0 license.

  3. doi:10.1038/s41597-022-01607-9

    Describes the source cohort design, eye-state order, and prior processing of the shared open-eye data.

  4. doi:10.1016/0013-4694(91)90138-T

    Background for the use of power-spectrum entropy to describe EEG spectral shape.

Cited by

0 publications

Public catalog entries on Sciscape.

No incoming citations on Sciscape.