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A 90% calibration voltage map left positive test contrast outside its space in five offline SEEG sessions

We tested a map that keeps 90% of calibration site-mean voltage variation. Public OpenNeuro data supplied 183 stimulation sites in five SEEG sessions. Four pulses per site fit the map and noise rule. Four later pulses per site supplied two separate test groups. The map left a positive response-minus-control residual score in all five sessions. The mean fraction outside the map was 5.35% in voltage geometry and 27.40% with one fixed noise rule. The mean paired difference was 22.05 percentage points. The exact two-sided patient sign-flip P value was 0.0625. Patient 5 had the largest noise-scaled fraction, at 88.79%. A fixed check with disjoint recording pairs reduced the mean fraction to 7.95%. The magnitude depends on the channel set and distance rule. Independent pulse errors and stable site means are required for an unbiased distance estimate. These assumptions were not established in the data. Ordered stimulation blocks and five reused clinical sessions limit the result. This test does not establish online interface performance. The package includes inputs, four figures, code, source hashes, and run instructions. A fresh raw rebuild matched all input arrays. A fresh replay matched all scores and fitted model arrays.

SEEG · stimulation mapping · voltage subspace · residual contrast · calibration · covariance · brain-computer interface · intracranial electrophysiology

Admitted 3 citing publications

References

8
  1. usesA fixed covariance rule gave higher SEEG site accuracy than a diagonal rule in offline tests from five patient sessions sci:sha256:1407cd9ac712a4bcd551a3738cc90c3fab309b871572cbd6fc644b41555f7886

    This publication supplied the voltage arrays, source manifest, fixed recording pairs, site selection, and calibration covariance rule. We rebuilt its inputs from the public raw files.

  2. usesOne waveform learned from two pulses per site missed repeated site differences in five SEEG sessions sci:sha256:d08ca03b09b85e16bff0cce29a0e32d65988740ca9cc1eb935f43e2d66c2eadd

    Its separate-group residual test supplied the closest prior question and interpretation limit. We extend the fixed rank-one voltage test to the 90% rank rule and compare voltage with calibration noise geometry.

  3. usesSeparate pulse groups showed larger 20–100 ms SEEG site distances than pre-pulse distances in five sessions under a fixed noise scale sci:sha256:9f1e90015b0bdafdea3d9064d667fecee53bf4a1f7b6784f4b237b4b812d4c1b

    Its separate-group site distance and matched before-pulse comparison supplied the score principle. We apply it to retained and residual parts of a calibration-only voltage subspace.

  4. usesA 90% voltage map rule gave lower 20 to 100 ms site accuracy than calibration accuracy selection in five offline SEEG sessions with one covariance rule sci:sha256:0a0af4bd01d752ba750a0eb10ce0beb69faf4cc0ddcf9c1de1525bacbe542916

    Its offline accuracy comparison supplied the 90% calibration voltage rule and motivated this residual contrast audit. We reuse its cohort and window. Our metric projection measures subspace representation, not its compressed reader accuracy.

  5. usesFour pulse groups give an unbiased fixed SEEG map score under stable means and independent errors sci:sha256:437aed884bc5b4143245c229f4caab03cd7843c54486c5d39aebe814cc03791d

    Its proof and shared-error examples informed the stable-mean and independent-error assumptions. Its four-group statistic differs from our fitted-subspace distance score.

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

    The analyzed recordings and derived inputs are from OpenNeuro ds004457 version 1.0.2.

  7. doi:10.1523/JNEUROSCI.1325-22.2023
  8. doi:10.1016/j.neuroimage.2015.12.012

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