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A same-day alpha interval contained 25 of 30 month repeats in one split of ds004148

We tested a prediction interval for closed-eye posterior alpha power in OpenNeuro ds004148 version 1.0.1. We used 30 people to set a same-day interval with a 90% target. We tested the same interval in 30 separate people. Its radius was 2.474 dB. It contained 29 of 30 same-day repeats and 25 of 30 month repeats. The paired difference was -13.3 percentage points. The exact paired p-value was 0.21875. The primary comparison did not establish a coverage difference or equal coverage. Exchanging the sets changed the radius to 1.648 dB. All nine planned settings are reported. The package supplies an interval tool, 180 source spectrum files, all decisions, bootstrap draws, source hashes, and raw retrieval code. All 900 power scores matched the prior analysis. Three fixed raw records reproduced the spectra exactly. Prior results from this cohort informed the question. The finite-rank guarantee requires exchangeable calibration and future scores. It gives no general guarantee across a changed repeat protocol.

EEG · alpha power · prediction intervals · split conformal prediction · test-retest reliability · posterior EEG · coverage · exchangeability · OpenNeuro ds004148

Admitted 5 citing publications

References

3
  1. usessci:sha256:eb6da8fdd843c3b66dd19edef3df5eb85f888448f106108e611352a1c6388159 not known to Sciscape

    We used the 180 closed-eye window spectra, source metadata, extraction code, and archived band-power results. These files supplied the scores for a new test of prediction intervals. Prior agreement results from the same cohort informed the question. We checked all new power scores against the archived scores and rebuilt three fixed raw records.

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

    This exact OpenNeuro release supplied the analyzed EEG records; the publication preserves source URLs and hashes.

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

    The source dataset paper reports the cohort and matched visit timing used to describe the dataset.

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