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A 41-sample variance mean reduced later normal SEEG voltage log loss with five fit pulses at 86 selected sites in eight patients

A fixed mean of 41 sample variances lowered later normal voltage log loss in public SEEG from eight patients. We used OpenNeuro ds004696 version 1.0.1 and 86 inherited selected stimulation sites. Five early good pulses fitted each site. The remaining 612 pulses tested it in the same session. The 41-sample mean spans 19.53 ms. It changed only the variance. The patient-weighted loss fell from 1.1432 to 0.9582 nats. The decrease was 0.1850 nats; its 95% patient bootstrap interval was 0.1277 to 0.2455. All eight patients had a decrease. The Student t decrease was 0.02652 nats. Its separate-variance reference also scored better than the local normal forecast. The benefit was larger before stimulation. This supports an estimation effect. Other fixed widths scored better than 41 samples. Sample density scores do not test joint response forecasts. Nominal 90% local normal limits covered 85.17% of samples and 4.76% of complete responses. These limits do not support a calibrated device alarm. The study is exploratory. It does not test new sessions, intent decoding, or treatment. The package retains exact input windows, three figures, numeric results, source pins, and check records. Fresh source checks passed for all eight patients. An independent calculation and clean replay passed historically. GPL analysis and extraction scripts are omitted, so the analysis cannot be rerun from this package.

stereoelectroencephalography · variance estimation · local averaging · voltage forecast · negative log density · Student t · calibration · bootstrap · brain stimulation · response model

Admitted 1 citing publication

References

5
  1. usesStudent t limits scored worse than normal limits for centered SEEG voltage at 86 selected sites after five fit pulses sci:sha256:012478d084fb27a8d92d12089b83be731e42bdd06cd15828d578bf1698fc0e58

    Used its exact retained SEEG voltage windows, pulse tables, fixed readout choices, source metadata, and retrieval code. New local variance means and voltage density scores were computed here.

  2. usesPast pulse updates reduced normalized 20–500 ms SEEG forecast error versus fixed five-pulse templates at 86 selected sites in eight epilepsy sessions sci:sha256:fd07147e53abc31f50ad87cee1d777a9d91b45b3d2a172703485899005f00530

    Used its range download and full source hash code through the direct input publication. That code enabled fresh checks for all eight author derivative files.

  3. usesTime pooling reduced SEEG prediction band width by a mean of 61.7% and mean four-pulse coverage fell to 86.3% in five patients sci:sha256:5516c14da040515e252ab1dac365f360e03eca45ad16a141f5334a99c1bd9d98

    Used its time pooling comparison to define the variance averaging question. Its data and outcomes are separate from this study.

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

    The analyzed public SEEG source is OpenNeuro ds004696, version 1.0.1.

  5. doi:10.1523/JNEUROSCI.2201-22.2023

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