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A spectrum bound kept false beta network calls below 5 percent in independent phase controls from 35 SEEG recordings

We tested beta network links in 2-second windows from 35 public SEEG recordings and 21 patients. The test uses a standard exponential bound with the measured spectra. Its proof controls the chance of any false link in one fixed family under an independent phase model. Across 70,000 complete phase-control networks, the Bessel rule had a false-network rate of 0.561%, with equal weight per patient, at a 5% family target. Each recording stayed below 0.95%. The native-sample IID rule called false links in every control network. All tested families were too large for a Bonferroni call with 999 rank controls. In defined pair controls with phase differences in [-pi/2, pi/2], detection was 45.1% for the Bessel rule and 10.4% for the simple spectrum bound. The Bessel rule had more measured false calls; both bounds had the same proved upper limit. The full analysis repeated exactly. The package preserves code, a command-line tool, all input spectra, pair maps, control outcomes, three figures, a proof, source hashes, and a raw-data retrieval recipe. These results concern the phase model. They do not establish true brain connections or improved BCI performance.

beta network testing · SEEG · phase randomization · spectrum bound · Bessel function · multiple testing · brain-computer interfaces

Admitted 1 citing publication

References

4
  1. usesNative sample counts give excess correlation calls under an independent phase null in 2-second SEEG beta windows from 21 participants sci:sha256:57eed8340807f9a6c0ee0a20be060749718a0560d83b328d5e823b65095231f9

    We used all 35 compact beta coefficient files, source metadata, the retrieval manifest, and four extraction files. We rebuilt every coefficient array from a fresh raw download. The present study tests all 56,565 eligible edges and complete dependent networks, beyond the selected pair controls in the source study.

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

    We used the attributed BrainVision header reader inherited through the compact-data source. It enabled the fresh raw-data rebuild and source checks.

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

    This is the exact OpenNeuro dataset version used to rebuild all 35 compact recordings from the 105 hash-checked raw files; saved metadata identifies its CC0 license.

  4. doi:10.1214/aoms%2F1177729330

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