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Baseline agreement did not detect better beta frequency matches than peak strength in two-second post-stimulation SEEG windows from 21 people

We tested a short calibration check for beta frequency selection in a brain-computer interface reader. The source was OpenNeuro ds006519 version 1.0.0. We used all 35 SEEG recordings from 21 people. The agreement rule kept channels whose maxima in two baseline windows differed by at most 2 Hz. The strength rule kept the same number of channels with the largest mean baseline residual maximum. Both rules used four baseline seconds. Each rule selected 612 channel occurrences. A match required a later two-second post maximum within 2 Hz of the fitted baseline frequency. Agreement gave 42.86% matches. Strength gave 44.50%. The paired person mean was -1.64 percentage points. Its 95% bootstrap interval was -6.47 to +2.80 points. The exact sign-flip reference gave p = 0.522. All eight fixed sensitivity intervals included zero. Both rules exceeded a within-record frequency reassignment expectation. This test did not detect better matches from agreement. It does not prove equal rules or useful online control. The package preserves three figures, code, compact data, native signal excerpts, source hashes, and reproduction instructions. All raw hashes match the official version tag. A fresh extraction and a separate numerical check passed. This exploratory test reuses a public cohort and a cited spectrum package.

stereoelectroencephalography · SEEG · beta frequency · spectral stability · brain-computer interface · cortical stimulation

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References

4
  1. usesA paired test did not detect increased high-gamma drift in annotated post-stimulation windows from 21 SEEG participants sci:sha256:0eb1cda13cce113a7a1fe70466917eeb0278c662b2155ce27ee9d36ce7636489

    We reused all 35 spectrum files, source metadata, and the retrieval and extraction code from this package. Fresh raw extraction reproduced all arrays. The new test compares baseline agreement with peak strength and supplies separate numerical checks.

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

    The analysis used every released SEEG recording from OpenNeuro ds006519 version 1.0.0; source file identities and hashes are preserved.

  3. doi:10.1016/j.clinph.2023.04.013
  4. doi:10.1016/j.neuroimage.2026.121822

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