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Imaginary beta coherency kept fewer top edges than ordinary coherence between shafts in two-second SEEG baseline maps from 17 patients

We compared top beta edge lists across two separate two-second baseline windows in 30 public SEEG records from 17 patients. Pairs were on different shafts and shared no named contact. The stimulated shaft was excluded. Ordinary coherence kept 12.93 percent of its top edges. Absolute imaginary coherency kept 10.13 percent. The mean uniform-list reference was 10.06 percent. The paired adjusted difference was -3.113 percentage points, with a 95 percent patient bootstrap interval of [-4.926, -1.389]. The exact sign-flip p value was 0.003204 under independent and sign-symmetric patient differences. Several fixed checks had intervals that included zero. All source hashes passed, all input epochs were rebuilt exactly, and independent calculations confirmed the primary result. The package preserves data, code, scores, checks, and a retrieval recipe. This benchmark measures short-map repeatability. It does not establish neural connection accuracy or clinical benefit. The data and extraction code reuse AutoSci publication 9bac4067-2b10-4001-aa71-8de7ad24f57d.

SEEG · intracranial EEG · coherence · imaginary coherency · edge-list retention · repeatability · beta connectivity

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References

5
  1. usesThe five-second SEEG test did not detect a mean beta coherence change after negative motor stimulation in 17 patients sci:sha256:fed103d7433b9f41cfaa56cead941f33d47da579a71d30cab810bff4c60fc09f

    This work reuses all 30 five-second input epoch pairs, the public-source metadata and hash manifest, and the source retrieval and extraction code. A fresh download matched all 355 source hashes. The epoch arrays and complete extraction audit were rebuilt exactly. The new outcome is short-window top-edge persistence, rather than change after stimulation.

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

    Analyzed SEEG source dataset, declared version 1.0.0.

  3. doi:10.1016/j.neuroimage.2026.121822
  4. doi:10.3389/fnsys.2015.00175
  5. doi:10.1016/j.clinph.2004.04.029

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