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Peak gaps did not show a clear gain over amplitude for timing prediction in two SEEG recordings

We tested whether the gap between competing waveform peaks predicts repeatable timing better than peak amplitude. We used public SEEG readouts from two recordings in OpenNeuro ds004774 version 1.0.0. The primary subset had 113 expert-marked response signals. The first five pulses supplied each score. Five separate later pulses supplied the 5 ms timing test in a 10 to 90 ms window. The AUC gains were 0.024 and 0.117. Both paired 95 percent site bootstrap bounds included zero. We also proved and checked a sharp voltage-error bound for peak location. The measured error met this bound in 14 of 113 primary signals. A large gap could occur at a window edge. These results concern waveform repeatability, not true neural delay. The package preserves exact voltage, labels, source range hashes, code, a fixed local plan, tables, all bootstrap draws, a proof, and three figures. All 630 public source ranges matched the saved input. Independent calculations and a full repeat run passed.

SEEG · evoked responses · peak timing · waveform repeatability · peak gap · brain-computer interface

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References

3
  1. usesRemoving self-products raised observed five-pulse expert label AUCs by less than 0.007 in two SEEG recordings sci:sha256:d16df6040d3c3084883d2a47324781be13193b0c98292c1b06f8338b27a77608

    This study uses the exact native SEEG voltage, expert labels, event maps, and pinned public source ranges from this publication. It tests a new timing outcome with separate early and later pulses. It adapts the source retrieval code and checks every included range and voltage sample.

  2. usesTemplate alignment did not show a clear gain over a local peak in joint timing tests on 37 selected SEEG pairs from eight sessions sci:sha256:66e301893aa0028ac746ee2818d43980a31c0611926c0580340aaefa16a76895

    This timing study was read before the local plan. It helped set the limit on a waveform repeatability claim. The present study uses a different dataset and endpoint. It uses no voltage or code from that study.

  3. usesdoi:10.18112/openneuro.ds004774.v1.0.0

    The study uses voltage, expert labels, event maps, and pinned public source ranges from OpenNeuro ds004774 version 1.0.0.

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