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Twenty-second calibration in the current record gave no clear theta power gain over calibration from the previous session in seven people with depth SEEG

We tested one-Hz theta band selection in 215 public hippocampal depth SEEG records from seven people. Twenty seconds from the current record gave 33.51% held-out theta power capture. Calibration from the previous session gave 33.33%. The difference was 0.19 percentage points, with a descriptive 95% whole-person interval from -0.18 to +0.64 points. A fixed 4-5 Hz band gave 35.85% and exceeded current calibration in every person. The package provides a new test with chronological access rules, 250 native input records, source versions and hashes, code, three figures, all fixed results, and repeat checks. This is a power capture test. It does not establish decoder accuracy, a stable neural oscillator, a phase target, or clinical benefit.

brain-computer interface · theta power · SEEG · hippocampus · band selection · calibration · spectral power · chronological validation · epilepsy

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References

4
  1. usesZero sample runs continued after all 932 marked stimulation intervals in 250 selected hippocampal SEEG records sci:sha256:08b79fb28c0ad8ae5ce5f97718a82ab9495d0a888ebc9474e04e519df67d70f3

    We used its fixed 250-record depth selection, native EDF files and sidecars, pinned source versions and hashes, complete selection ledger, EDF reader, and retrieval utility. These inputs enabled a new chronological test of theta band calibration. We downloaded all 250 native EDF files again and checked their hashes. The reused people do not form a new cohort.

  2. usesSource interval checks accepted theta features from one-second windows with saved zeros in 250 selected SEEG records sci:sha256:c06be0b9a43909882c536d09f491777a715d09a5e3ce7346b4b469eb3b073f47

    Its finding that input validity must cover every sample used by a feature informed our checks of the complete calibration and test intervals. We computed new spectra and results; we did not reuse its feature scores.

  3. usesdoi:10.18112/openneuro.ds007095.v1.0.0

    The study analyzed the version 1.0.0 native EDF records and sidecars from this OpenNeuro dataset; source hashes and version records are preserved in the package.

  4. doi:10.3389/fnins.2026.1815732

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