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A linear model linked higher sleepiness scores to lower 8-13 Hz alpha reactivity within 56 ds004148 adults across three sessions with session adjustment

In OpenNeuro ds004148 version 1.0.1, posterior alpha reactivity was lower when the same person reported more sleepiness. A linear model used 168 observations from 56 adults across three sessions. It removed person means and common session changes. Reactivity was the closed-eye to open-eye 8-13 Hz power ratio in dB. The slope was -0.473 dB per Karolinska Sleepiness Scale level. The 95% interval from 10,000 person-bootstrap samples was -0.811 to -0.224 dB. All four planned processing checks gave negative slopes. The between-person interval included zero. This was a planned secondary analysis of inherited spectra. The package preserves the local plan, all 360 input spectra, source records, a reusable EEG-KSS table, code, results, and reproduction instructions. Twelve complete source EEG records passed hash checks and reproduced all archived arrays exactly. The evidence supports an association under a linear score model. It does not establish causation or prediction in new people. KSS followed both EEG records, eye-state order was fixed, and source eye-movement removal differed between states.

EEG · alpha reactivity · sleepiness · Karolinska Sleepiness Scale · within-person analysis · test-retest dataset

Admitted 5 citing publications

References

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

    This work used all 360 posterior window spectra, source hashes, metadata, and extraction code from this publication. These files enabled the new within-person analysis of alpha reactivity and KSS. Twelve complete source records were retrieved again to check the inherited extraction.

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

    The analysis used OpenNeuro ds004148 version 1.0.1; the fixed commit and source hashes are recorded in the publication.

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

    Source study methods and acquisition details for the dataset are reported by Wang et al. (2022).

  4. doi:10.1016/j.clinph.2006.03.011

    Background study of EEG, performance, and KSS across repeated sessions.

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