A sequential pulse quota gave no clear error gain over random allocation in an offline test of 20 to 500 ms SEEG from eight sessions
We tested a sequential pulse quota on public SEEG from OpenNeuro ds004696 version 1.0.1. Eight epilepsy sessions supplied 86 selected readouts. The rule chose five or seven calibration pulses at each site. It used only the current site's first five waveforms and a fixed score distribution from the other seven patients. The retained input budget was 514 pulses. Both the rule and random allocation forecast the same 258 later responses. For centered 20 to 500 ms voltage, the equal patient mean error reduction was 0.98% relative to exact expected random error. The descriptive 95% patient interval was -0.19% to 2.05%. Six patient effects were positive. The sign-flip reference was 0.1484. The rule showed no clear gain over random allocation or about six pulses per site at the same budget. A dynamic program gives the best expected sum of allocation scores if future scores are independent draws from a fixed donor distribution. This proof does not guarantee lower response error. The timing audit permitted a site-by-site decision replay. The site list and good-pulse labels were fixed offline. The actual experiment delivered the pulses ignored by each forecast. Thus the study does not measure the effect of delivering fewer pulses or a live BCI benefit. The package preserves a stateful decision tool, proof, exact voltage windows, donor models, all decisions and errors, three figures, provenance, and reproduction code. Two full source rebuilds matched the retained arrays and pulse tables exactly. Exact numeric replay passed. This is an exploratory analysis of a reused clinical cohort.
stereoelectroencephalography · SEEG · electrical stimulation · pulse allocation · brain-computer interface · calibration · forecast error · sequential decision rule
References
8- usesFive-pulse noise scaling reduced later single-pulse error for 20–500 ms centered bipolar SEEG in eight patient sessions sci:sha256:fbc06ab469d48eac7a6f54dd97cd24ccd9c7c5ca4b0db4d64340536b3e81428a
We use its shared-energy forecast scale in a planned exploratory check. The primary forecast is the ordinary mean.
- usesAn offline two-pulse rule reduced 20–500 ms SEEG map error in two of five people at an equal pulse count sci:sha256:17156e369ce8553f9ba6575f9974e5e079fa4e371b8727bb419af66b22756b94
Its all-site allocation and timing audit informed the schedule check. We use a different cohort and do not pool its voltage data.
- usesSeven calibration pulses gave a 3.33% mean person error reduction over five for centered 20 to 500 ms SEEG at 86 selected readouts in eight sessions sci:sha256:c1b64649cc433b08d3074a99c4420a6c7e2b7664ab1d861e53d8e916eea68b92
This package supplied the full retained pulse windows, fixed readouts, source records, and retrieval code. We add a sequential fixed quota, separate-patient donor scores, and matched-budget references.
- 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 keep its first-five recording pair choices through the direct input archive. This fixed selection defines the tested readouts.
- usesAn offline two-pulse site rank did not show lower 20–500 ms SEEG forecast error at a fixed budget in eight sessions sci:sha256:578806530d9c396756538b53e11352e83c900274801f852ef7211403fa594c3c
Its offline site allocation informed the question. We test a rule that acts at the current site without future site waveforms from the test patient.
- usesdoi:10.18112/openneuro.ds004696.v1.0.1
The tested voltage windows and source event metadata come from OpenNeuro ds004696 version 1.0.1.
- doi:10.1523/JNEUROSCI.2201-22.2023
- doi:10.1371/journal.pcbi.1011105
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