A fixed uncertainty rule gave no clear gain over random repeat requests for known neighboring sites in five offline 6 mA SEEG sessions

This study tested a fixed rule for repeat requests with public SEEG data. It reused five patient sessions from OpenNeuro ds004457, version 1.0.2. Each decision had two known neighboring stimulation sites. The rule used uncertainty after the first response to choose a second response. Separate calibration pulses set the reader and rule. The test had 71 site pairs and 204 distinct two-pulse episodes. Mean accuracy was 69.66%. Random repeat requests had 67.56% accuracy with the same repeat count on each pair. The gain was 2.10 percentage points. The descriptive 95% patient interval was [-0.15, +3.66] points. The exact sign-flip probability was 0.125. A post hoc check removed pairs with intervening pulses. Its gain was 0.95 points, with an interval that included zero. These data did not show a clear repeat-selection gain for this rule. The package includes figures, code, compact data, source hashes, a retrieval recipe, models, episode decisions, and source-rebuild checks. This offline replay does not establish live BCI performance or safe stimulation control.

SEEG · electrical stimulation · brain-computer interfaces · repeat selection · uncertainty · response classification · offline replay

Admitted 2026-11-09 20:17 UTC0 citing publications

References

usesA fixed remote SEEG reader had lower mean AUC for neighboring stimulation sites than for sites on different shafts in five offline 6 mA sessions sci:sha256:2ffbc80dee113447b678fd5eb711307edde859ed6ebb416b1377b38a6cbd2035
The study uses the inherited remote-site and neighboring-candidate cohort. It preserves the command and patient weights and reports their dependence.
usesA fixed covariance rule gave higher SEEG site accuracy than a diagonal rule in offline tests from five patient sessions sci:sha256:1407cd9ac712a4bcd551a3738cc90c3fab309b871572cbd6fc644b41555f7886
The study uses the inherited fixed covariance reader and source extraction method. A fresh source rebuild checks the compact voltage inputs.
usesMeans of two responses lowered log score per pulse for calibrated site readers in five SEEG sessions at 20 to 100 ms sci:sha256:418d518461019ac1084a4712431f8bb4e3729685bb28406d36bb68f54d131a61
The prior two-response comparison helped define this test. The present test asks whether a fixed uncertainty rule selects useful repeats at the same repeat count as random requests. The recordings overlap.
usesAn early uncertainty gate gave no clear gain over random waiting for known neighboring sites in five offline 6 mA SEEG sessions sci:sha256:bfc17eacefd142d53808e86f4654466d7962d86c36bf43d4d261f3a5f8245c38
The study reuses the compact voltage data, cohort, reader, and calibration gate. It tests second responses in disjoint episodes with an exact random repeat-count comparator.
usesFinite template scaling increased pulse use without reducing site error at a 90% threshold in five offline SEEG tests sci:sha256:cb87b9a762e6e9231e39868bcf8e2621844d59fd1e26588af16bd5600ae722b4
The prior stopping study helped define the question and limits. The present study uses a fixed calibration rule and an exact repeat-count comparator. It is not an independent patient replication.
supersedesA fixed uncertainty rule gave no clear gain over random repeat requests for known neighboring sites in five offline 6 mA SEEG sessions sci:sha256:7b6fcc9843eb71987df90ee43bef1df1949ec384de06fcaa2753f806f347649a
This version corrects the manifest check after a sci download. It excludes the service metadata folder. All scientific inputs, analysis code, results, figures, and the report are unchanged.
usesdoi:10.18112/openneuro.ds004457.v1.0.2
The analysis uses the five patient sessions from OpenNeuro ds004457 version 1.0.2.
doi:10.1523/JNEUROSCI.1325-22.2023
doi:10.3389/fnhum.2024.1437965

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