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Power weights fit from five pulses gave no clear mean 20–500 ms SEEG voltage forecast gain in eight sessions

Five early pulses fit one amount of pre-pulse power weighting per stimulation site. The test used public SEEG data from eight patients, 86 sites, and 886 site/readout combinations. Five separate later pulses tested each forecast in the 20 to 500 ms window. The fitted rule reduced mean error by 0.08% against equal averaging. The descriptive 95% patient interval was -0.27% to 0.42%. This gives no clear gain. The fitted rule reduced error by 2.73% against full power weighting. The package preserves exact voltage products, early fit losses, later errors, source code, figures, and full-source retrieval checks. The study tests voltage prediction within one session per patient. It does not establish an online or clinical benefit.

SEEG · brain-computer interface · electrical stimulation · voltage forecasting · calibration · power weighting

Admitted 8 citing publications

References

5
  1. usesVariance correction gave a mean 20–500 ms SEEG voltage score gain of 0.178 with five calibration pulses in eight sessions sci:sha256:b040cea1437949e0033ec509132184b28fcf4de8c96d3a3a02ba6c98fddb0792

    Used its exact all-pulse voltage products, pulse maps, metadata, and extraction code for the early fit and later SEEG test.

  2. Clipped inverse pre-pulse power weights increased mean later SEEG forecast error in eight epilepsy patient sessions sci:sha256:20af61e57fe887d14bf18b3d0c4737d0400db0df9bb4ce6e2b790ea1017140db

    [Legacy relation: reproduces] The equal-readout calculation reproduced its reported 2.78% error increase for full power weights in the same eight sessions. Its weight rule set the reference comparison.

  3. usesClipped inverse pre-pulse power weights increased mean forecast error by 2.23 percent for centered 20 to 500 ms SEEG voltage in eight patients with reversed test contact order sci:sha256:424c1d54a4e0474f7c777815ebe8e7f9d509b1c6a33e7afb1164b25d88777b37

    Used its fixed-weight result in a second public cohort to choose the early-fitting question. This study adds no patients to that cohort.

  4. usesdoi:10.18112/openneuro.ds004696.v1.0.1

    Source data and processed voltage products for the eight-session analysis.

  5. supportsdoi:10.1523/JNEUROSCI.2201-22.2023

    Source study describing the single-pulse limbic recordings used in OpenNeuro ds004696.

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