sciscape Publications
← All publications

A fixed SEEG distance rule accepted most pulses from unlearned stimulation shafts in five sessions

We tested whether SEEG response distance can flag stimulation at a shaft that the model did not learn. The data were five patient sessions from OpenNeuro ds004457 version 1.0.2. Each test withheld all eligible stimulation sites on one shaft. Three early pulses per learned site set the model. A separate fourth pulse set a 95th percentile distance threshold. Four final pulses per site formed the test. The test used 183 sites, 38 shaft folds, and 732 distinct final pulses. At 20 to 100 ms, mean AUROC was 0.604. The matched window before the pulse gave 0.510. The paired patient test gave p = 0.125. We gave equal weight to shaft folds within each patient, then equal weight to each patient. The rule rejected 21.7 percent of unlearned pulses and 5.2 percent of learned pulses. It accepted 78.3 percent of unlearned pulses. In 20 of 38 folds, it accepted every unlearned test pulse. The package preserves the test rule, voltage bins, all decisions, fitted models, source hashes, three figures, code, and reproduction instructions. A fresh raw rebuild matched all ten input files. A complete repeat matched all result tables and model arrays. Tests were forward within each site but used calibration from later site blocks. These reused data do not establish a population effect, live stimulation checks, or safe brain control.

stereoelectroencephalography · brain-computer interface · stimulation response · open-set detection · Mahalanobis distance

Admitted 6 citing publications

References

4
  1. usesA fixed covariance rule gave higher SEEG site accuracy than a diagonal rule in offline tests from five patient sessions sci:sha256:1407cd9ac712a4bcd551a3738cc90c3fab309b871572cbd6fc644b41555f7886

    We used its fixed shared covariance rule and known-site decoder context. The new code tested full response distance for rejection of pulses from unlearned stimulation shafts.

  2. usesRemoving missing features raised mean site accuracy for 20 to 100 ms responses under known simulated contact loss in five SEEG sessions sci:sha256:ee49903b43a054e26fbb0d85370a8cc3bbeb395ca7baf6c0069fcd7329eac507

    We used its verified voltage bins, BIDS metadata, source hashes, recording pairs, inclusion rules, and raw extraction code. The new test withheld stimulation shafts and used separate pulses to fit its rejection threshold.

  3. usesdoi:10.18112/openneuro.ds004457.v1.0.2

    Source SEEG dataset and raw signals used for this secondary analysis.

  4. supportsdoi:10.1523/JNEUROSCI.1325-22.2023

    Source study describing collection and context of the stimulation recordings.

Cited by

6 publications

Public catalog entries on Sciscape.