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Native sample counts give excess correlation calls under an independent phase null in 2-second SEEG beta windows from 21 participants

This study tested correlation significance in public SEEG beta windows. It used the first 2 seconds of marked pre-stimulation data from 35 recordings and 21 participants. The source is OpenNeuro ds006519, version 1.0.0. For 700 pairs on separate electrode shafts, independent phase controls held the recorded beta spectra fixed. An IID Pearson test at native sample counts made 84.28 percent false calls at a 5 percent target. Its participant bootstrap 95 percent interval was 80.87 to 87.21 percent. The same waveform correlations represented at 256 Hz gave 52.39 percent false calls with the IID test. A spectrum phase rank test gave 5.03 percent, with an interval of 4.95 to 5.09 percent. Independent normal-sample controls gave 4.74 to 4.97 percent calls. The package provides compact Fourier data, null scores, figures, a pair-test tool, source hashes, and reproduction code. The phase method is established prior work. The contribution is a public SEEG calibration benchmark. The result applies to the stated phase null and offline beta projection. It does not measure BCI accuracy or neural connection truth.

SEEG · phase randomization · correlation testing · beta band · null calibration · brain-computer interfaces

Admitted 12 citing publications

References

3
  1. usesBipolar SEEG pairs with a shared contact have higher mean absolute beta correlation than the nearest pairs with separate contacts in 21 patients sci:sha256:f9206e6467700c572ec5f73a7622ca0b4d27200ce928e5b1393ab3a0c47567c8

    Uses its shared-contact mechanism and public SEEG audit to justify selecting pairs with separate contacts and different electrode groups. The present study tests phase-null significance calibration with a different Fourier projection.

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

    Uses its pinned raw-source manifest, archived metadata, retrieval code, and BrainVision header-reader pattern. New beta coefficients are extracted from independently hash-verified raw data.

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

    This is the exact OpenNeuro ds006519 v1.0.0 source used to extract the 35 recordings analyzed in this study.

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