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Eight 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

We tested a compact reader of voltage after brain stimulation. The source was OpenNeuro ds004696 version 1.0.1. We kept 86 selected SEEG sites in eight patient sessions. Each site used five early fit pulses and five final test pulses. Eight donor shapes used only early responses from the other seven patients. Mean response versus pre-pulse background AUC was 0.9317 for donor shapes, 0.9339 for eight fixed cosines, and 0.9394 for full waveforms. The primary AUC difference was -0.00223. Its sign changed when one patient was removed and all remaining donor fits were repeated. The donor model reproduced an earlier 11.30% mean patient forecast error reduction versus cosines. Less forecast error did not give higher mean response AUC in this sample. Five fit background windows gave later background call rates near 14–15%. These offline results do not establish benefit for new patients or a live device. The package preserves selected voltage, event maps, models, all scores, code, figures, source hashes, and rebuild instructions.

stimulation response · SEEG · response discrimination · AUC · donor basis · cosine basis · forecast error · limbic system

Admitted 8 citing publications

References

7
  1. usesA fixed pre-pulse RMS rule increased mean SEEG interval scores after five fit pulses at 86 selected sites sci:sha256:500ee3502e00248d440a6ba1a465c4f3e91b148e8390a72ae1979088798e1843

    We preserve its earlier full-source hash and extraction checks through the direct input package.

  2. usesEight donor shapes reduced five-pulse SEEG forecast error versus eight cosines at 86 selected sites in eight patients; full waveforms had less error sci:sha256:d5f05d9adcd5c0419c50f10231ba2502cf7acc24728e09a3c09631e52e5a88e3

    We use its selected voltage, pulse map, and patient-excluded shape rule. We reproduce its forecast errors and test a new response AUC endpoint.

  3. 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

    We retain its five-pulse contact choices and full signed-template reader.

  4. usesA fixed background power rule increased 20 to 500 ms SEEG size forecast error after five calibration pulses in eight sessions sci:sha256:b8e5ae61a5b00cfa06f9294e3694b2df810dda59e3ec09aa69ad2cbe63b674c4

    The source rebuild code adapts this recipe through the direct input package.

  5. usesFive fit pulses and three calibration pulses gave 75.6% mean patient and 70.3% pooled whole response coverage at 86 selected SEEG sites sci:sha256:c3a61e7caa74d1cbc66131912586aa43ff1af13523ba1b58f0af0b4d0aa31373

    This work supplied the selected pulse voltages and mapping records preserved in the direct input.

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

    The selected voltage derivatives and event maps came from OpenNeuro ds004696 version 1.0.1.

  7. doi:10.1523/JNEUROSCI.2201-22.2023

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