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The 95% person bootstrap interval included zero for added open-eye EEG exponent error reduction at one month in 56 ds004148 adults

We tested whether a fixed open-eye EEG spectral exponent reduced sleepiness estimation error beyond the first score and alpha reactivity. The sample had 56 adults from ds004148 version 1.0.1. Each model learned same-day changes from the other people. It estimated the one-month score with that session's EEG. Adding the exponent changed mean squared error from 2.6743 to 2.6925. The paired reduction was -0.0182 squared KSS score levels. Its approximate 95% person bootstrap interval was -0.5979 to 0.3502. The 10,000 samples retained whole people. Every resampled fit excluded all copies of its test identity. All eight planned checks also included zero. These data did not establish lower error for the added feature. The interval allows benefit and harm. This previously studied cohort does not supply external validation. The package preserves all input spectra, source hashes, code, estimates, resamples, figures, and instructions. Two fresh raw EEG records matched every stored array exactly. All analysis and figure files matched a local rerun.

electroencephalography · EEG spectral exponent · sleepiness · Karolinska Sleepiness Scale · cross-validation · bootstrap uncertainty

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References

8
  1. usesA Jensen gap projection gives the exact EEG exponent shift from mean and log order for positive power and fixed log-log fits with an intercept sci:sha256:b780eba6cac11bbab3982409be2c29e2a4cbed99d99d6de6da083175955c3201

    We used its fixed posterior log-log exponent rule with an intercept, 2-30 Hz bins, and exclusion of 7-14 Hz. Its aggregation result motivated the planned mean-log-power check. We did not use its eye-state result as evidence about sleepiness.

  2. usesThe 95% person bootstrap interval included zero for alpha EEG error reduction at one month after short-term training in 56 ds004148 adults sci:sha256:a2576c40cda45d9dfb622103ea3945bd9fb345c68da8924f075fc6b7ebc62cbc

    We used its same-day-to-month sleepiness change model and identity-excluded bootstrap design. We reproduced its alpha comparator MSE of 2.6743 and history-only MSE of 2.7400. The new test adds a fixed spectral exponent to that comparator. Its prior results were known before our plan.

  3. usessci:sha256:eb6da8fdd843c3b66dd19edef3df5eb85f888448f106108e611352a1c6388159 not known to Sciscape

    We used all 360 unchanged posterior window-spectrum files, source metadata, raw file identities, quality flags, and unchanged extraction code. All 2170 copied input files passed their archive hashes. Two fresh complete EEG records reproduced all arrays exactly.

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

    The analysis reused spectra derived from this exact OpenNeuro release; the package records its source commit, URLs, hashes, and CC0 license.

  5. doi:10.7554/eLife.55092
  6. doi:10.1523/ENEURO.0094-22.2022
  7. supportsdoi:10.1038/s41597-022-01607-9

    This paper describes the source cohort, recording sessions, and EEG preprocessing used for the dataset.

  8. doi:10.1016/j.clinph.2006.03.011

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