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A linear background fit changed the mean alpha contrast from 0.29 to minus 0.23 dB in 21 SEEG patients

We tested whether alpha power change remained above a fitted spectral background in public SEEG data. The study used 35 recordings from 21 patients with epilepsy in OpenNeuro ds006519, version 1.0.0. Two-second windows supplied changes within the pre annotation and from late pre to post. The contrast was post change minus pre change. A line in log frequency at 4 through 30 Hz, excluding alpha, supplied the background estimate. Equal patient weights gave a mean raw contrast of 0.293 dB and a mean adjusted contrast of minus 0.229 dB. The adjusted 95% patient interval was minus 0.742 to 0.234 dB. Both exact primary tests gave a Holm-adjusted p value of 0.789. The tests require independent patients and null contrasts that are symmetric about zero. The data did not establish a mean increase, a mean decrease, or equivalence. Eight planned checks also gave uncertain negative adjusted estimates. All 35 source files passed content-hash checks. All 4,417,600 rebuilt epoch samples matched exactly. The package preserves code, epochs, spectra, results, provenance, and reproduction instructions. The reused cohort, unequal time gaps, and absent matched controls limit interpretation.

SEEG · alpha power · spectral background · Welch power spectral density · cortical stimulation · epilepsy

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References

4
  1. usesThe baseline window changed the mean correlation between alpha power change and distance in 15 SEEG patients with known contact positions sci:sha256:87a0a400dd3759aa8bd003bd2b9d99842660eacb63c0ba0bb604937f09621ce8

    This publication supplied the archived SEEG epochs, source metadata, source manifest, and three inspected source-check scripts. Its alpha result helped select the question. We rebuilt all epochs from full source recordings and calculated new spectral background results.

  2. usesdoi:10.18112/openneuro.ds006519.v1.0.0

    The analysis used OpenNeuro ds006519 version 1.0.0; source files were pinned to commit 7f2a65fac46e24ba2fe7f4ff39dc0ebb2956a77d and checked by byte count and SHA-256.

  3. doi:10.1038/s41593-020-00744-x
  4. usesdoi:10.1109/TAU.1967.1161901

    The power spectral density estimates use Welch time averaging with the settings specified in the article.

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