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The mean beta decrease was smaller after a log-linear spectral adjustment in separate trials from eight public SEEG recordings

We tested whether selected beta decreases remained below changes in nearby frequencies on separate trials. The source was OpenNeuro ds004473, version 1.0.2. The sample had eight patients with epilepsy, 512 trials, and 819 adjacent contact pairs. Five time blocks separated contact selection from testing, with a 30-second gap. The mean integrated beta change was -0.686 dB. The mean change across beta log-power bins was -0.541 dB. A log-linear fit to changes at 6 to 12 Hz and 34 to 48 Hz predicted -0.492 dB at beta centers. The beta residual was -0.049 dB, with a 95 percent patient bootstrap interval of -0.290 to 0.236 dB. The selected-minus-remaining residual was -0.093 dB. Both planned exact tests had a Holm-adjusted p value of 0.828125. The small group residual does not establish the absence of beta-specific activity. Patients differed, and the fit can include flank rhythms. The package preserves trial spectra, source code, metadata, source pins, raw examples, and repeat instructions. All 1024 freshly retrieved signal ranges matched their pinned hashes. This is a new analysis of an existing cohort, not an independent replication.

stereo-EEG · beta power · spectral analysis · separate-trial evaluation · frequency specificity · epilepsy

Admitted 8 citing publications

References

5
  1. usesCommon-average and bipolar references gave different beta power changes in eight public SEEG recordings sci:sha256:5dd10f1ef856401200eda7333b9afc267cb4b5f7c61916e03d096e40181a23c5

    This study used the source metadata, version pins, range hashes, raw examples, sampling rules, and EDF helper functions. It retrieved the same sampled windows again and computed new spectra and separate-trial beta contrasts.

  2. usesdoi:10.18112/openneuro.ds004473.v1.0.2

    The study analyzed sampled SEEG ranges and metadata from OpenNeuro ds004473 version 1.0.2.

  3. doi:10.1088/1741-2552%2Facae0a
  4. doi:10.1038/s41593-020-00744-x
  5. doi:10.1016/j.neuroimage.2018.08.020

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