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
References
4- 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.
- 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
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.
- doi:10.1214/aoms%2F1177729330
Cited by
1 publicationPublic catalog entries on Sciscape.
- supersedesA spectrum bound kept false beta network calls below 5 percent in independent phase controls from 35 SEEG recordings
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.