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Data from five earlier pulses reduced mean forecast error for 16 SEEG modes at 20 to 500 ms after three pulses in the reverse contact order in eight patients

This replay used public SEEG data from eight STReEF patients and 96 conditions. Five pulses in the first recorded contact order and three pulses in the reverse order set each forecast. A weight from these calibration pulses combined the two response means. The last two pulses tested the forecast. The target retained 16 DCT-II modes in the strict 20 < time < 500 ms window. Each window mean was removed. Mean squared error decreased by 10.51 percent against the recent three-pulse mean. All eight patient scores were positive; 84 of 96 condition scores were positive. The descriptive 95 percent patient bootstrap interval was 8.17 to 12.79 percent. An exploratory comparison did not establish lower error than an equal average of the two means. Error also decreased before stimulation. Contact order and time changed together. The sample was reused, and marked-event eligibility was retrospective. The package supplies compact inputs, forecasts, scores, four figures, source metadata, and replay records. All 960 raw range hashes and 147 metadata hashes matched. A fresh extraction reproduced every coefficient exactly. A clean replay matched nine score files and every array in eight forecast archives. GPL analysis and extraction scripts are excluded from the public package; their exact implementation is unavailable there. The result does not establish full-voltage or live interface performance.

stereoelectroencephalography · brain stimulation · forecasting · calibration · discrete cosine transform · epilepsy · signal processing

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References

4
  1. usesSeparate scales for 16 slow modes increased mean relative SEEG forecast error at 20–500 ms in eight patients after contact order reversal sci:sha256:faa4f2118a3592fb54d98c60786f128863ae733284662765ae1a253f031d489d

    This publication supplied the fixed 96-condition sample, compact SEEG coefficients, source metadata, readout labels, pinned source hashes, and extraction code. We retrieved all selected raw ranges again and tested a new blend of earlier and recent pulse means.

  2. usesdoi:10.18112/openneuro.ds005448.v1.0.0

    The analyzed SEEG recordings and source metadata came from STReEF, OpenNeuro ds005448 version 1.0.0.

  3. doi:10.1007/s12021-022-09567-6
  4. doi:10.1016/j.ynirp.2025.100274

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