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Thresholds from other patients gave a 10.2% mean background call rate at a 5% target after five fit pulses at 86 selected SEEG sites in eight patients

We tested whether background samples from other patients can set a low response threshold after five local fit pulses. We used public SEEG data from OpenNeuro ds004696 version 1.0.1. The test used 354 later pulses at 86 fixed sites in eight patients. At a 5% target, thresholds from seven other patients gave a 10.23% mean background call rate. A five-sample Student rule gave 8.29%. Response call rates were 81.10% and 77.75%. The means give each patient equal weight. The donor minus Student background difference stayed positive in all eight patient deletion checks. Removing almost duplicate source events gave the same direction. The methods used the same scores, so threshold choice did not improve response ranking. The donor rule did not establish the intended low call rate in this cohort. Its usual error bound needs exchangeable calibration and future scores. That condition was not established. Before-pulse controls do not measure every source of false calls after stimulation. The package contains figures, selected voltage, event maps, fitted models, all scores, source hashes, retrieval code, and analysis instructions. All primary calls passed an independent calculation. A repeated analysis reproduced all 12 numerical artifacts byte for byte.

SEEG · stereoelectroencephalography · threshold calibration · brain-computer interface · evoked response · background activity · calibration transfer · patient-level evaluation

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References

6
  1. usesAn AR(16) model with a 1 percent floor gave no clear 20–500 ms SEEG detection gain after five calibration pulses in eight epilepsy sessions sci:sha256:f498186f5bf9aa390e84158392afda66f1813af870a8cf045712bf3db794d97b

    Read its comparison of noise weighting and plain templates to choose a threshold calibration question. Its results were not included in the current outcome calculations.

  2. usesSix checks gave no clear AUC gain over one 100 ms check in eight SEEG sessions after eight calibration pulses sci:sha256:c122530e19b495ecc82e660ebfad11cede6c7ffec9335bccafb31a4bdade1edf

    Used the five-fit, three-background-calibration, later-test split and the local background score standardization as the basis for a different test of threshold transfer between patients. Its repeated-check results informed the choice of question.

  3. usesEight donor shapes gave less forecast error and 0.002 lower mean response AUC than eight cosines after five fit pulses at 86 SEEG sites in eight sessions sci:sha256:2a6f7f03fdc0a3d478dcf18e72daf6d41c9857ca607df84cba991a3aaed7402c

    Used all 1,042 stored voltage windows and pulse maps at 86 fixed readouts. Retained its source tables, retrieval code, licenses, and full-source audit records. All input data hashes matched its manifest.

  4. usesFive calibration pulses gave mean later signed template AUC of 0.939 compared with 0.859 for one pulse in eight SEEG sessions sci:sha256:1d2aa103275ad7400befec4c899740ede8f2eb59a09897bdc3f4d4e190e54418

    Retained its first-five-pulse readout choices and inherited selection code through the direct input package. No new readout was selected with later test pulses.

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

    Source data: OpenNeuro ds004696, version 1.0.1; the archived source metadata records this dataset DOI and the dataset license as CC0.

  6. usesdoi:10.1523/JNEUROSCI.2201-22.2023

    Cited for the source experiment and its context: single-pulse electrical stimulation in the human limbic system.

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