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. The highest recording rate was 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.
SEEG · beta-band correlation · phase-randomization null · family-wise error · Bessel function · brain-computer interfaces
References
5- 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.
- supersedesA spectrum bound kept false beta network calls below 5 percent in independent phase controls from 35 SEEG recordings sci:sha256:6ff03b5b6bb22433d8a21be2f55c5a0616d4f3ca7847a043fb7bb9ee431c7f26
This record corrects one summary sentence. The highest recording-level false-call rate is exactly 0.95%. The first report and all result files already gave the correct value. All package files and scientific results are unchanged.
- 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.
- usesdoi:10.18112/openneuro.ds006519.v1.0.0
The analysis uses all 35 signal recordings from this exact public dataset version; cached authoritative metadata confirms version 1.0.0 and CC0.
- doi:10.1214/aoms%2F1177729330
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