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A fixed detector found periodic voltage runs in 31 of 35 SEEG records from ds006519 version 1.0.0

We tested a fixed voltage detector on all 35 stereoelectroencephalography (SEEG) records in OpenNeuro ds006519 version 1.0.0. The detector accepted periodic runs in 31 records from 19 patients. The final run landmarks were 63 milliseconds to 3.74 seconds before the labeled poststim analysis windows. The label limits the search, so positive delay alone does not establish a hardware stop time. A later check used all four preset difference-score settings. Twenty-one records had accepted final landmarks within one pulse period across these settings. Ten accepted records need review. Four had no accepted primary run. The detector found no accepted run in the 35 baseline controls or in a later check of the 35 poststim windows. A full rebuild gave identical tables and all 478 compact arrays. The package contains timing tables, candidate peaks, native voltage excerpts, figures for every record, source code, source hashes, and retrieval instructions. These are voltage landmarks. Hardware pulse times, artifact-free neural data, and BCI performance were not verified.

stereoelectroencephalography · intracranial EEG · stimulation artifact · periodic voltage · event timing · signal detection

Admitted 15 citing publications

References

3
  1. usesSeparate one-second windows did not establish repeatable local beta power changes around motor stimulation in 21 SEEG patients sci:sha256:6af0c3ea85c1b3b89ed9769f5b592069e3dfc157266b584d6a1b4983a9523018

    This publication supplied the exact ds006519 version 1.0.0 source manifest, original recording and event metadata, and a prior event-field audit. These files enabled pinned source retrieval and a complete recording list. We wrote new detector code and analyzed native voltage. We did not use its resampled analysis arrays or beta-power results.

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

    The analysis uses the released native voltage recordings and event metadata from OpenNeuro ds006519 version 1.0.0.

  3. doi:10.1016/j.neuroimage.2026.121822

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