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Neighboring stimulation pairs reduced offline SEEG prediction error in five patients, but site order confounded spatial transfer

We tested whether two neighboring stimulation pairs could predict voltage at a held-out pair. The test used public SEEG data from OpenNeuro ds004457 version 1.0.2. It used 70 targets in five patients, 6 mA stimulation, two site folds, four calibration pulses per donor, and bipolar voltage from 30 to 500 ms. Neighbor predictions gave a mean 27.8% reduction in error against the exact expectation for matched random pairs. All five patient scores were positive. The two-sided patient sign-flip p value was 0.0625. Only 32 of 70 predictions had lower error than zero. In a later timing check, the spatial and time-nearest donor pairs were the same at 67 targets. The time predictor gave a mean 27.9% reduction. Only one target had both neighbor calibrations before its test pulses. Thus these data cannot separate spatial proximity from acquisition time or establish prospective calibration savings. The package preserves all source-derived inputs, predictions, score tables, code, three figures, source hashes, and a raw retrieval recipe. All input arrays were independently rebuilt from verified raw MEF files and matched exactly.

stimulation response prediction · SEEG · intracranial EEG · spatial transfer · acquisition time · voltage prediction

Admitted 5 citing publications

References

3
  1. usesSEEG response shapes at 15–100 ms gave higher site identification accuracy than shapes at 100–500 ms within each of five patient sessions sci:sha256:aa5b71d76d214f861e99964287f9da01f3f9fc6c707a4dcfe24807283918ab40

    We reused its five fixed recording pairs, trial signals, event metadata, source selection rules, raw retrieval code, and extraction code. We independently rebuilt all input arrays and used a new held-site voltage prediction test.

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

    The analysis used OpenNeuro ds004457 version 1.0.2; its pinned source paths and hashes are preserved.

  3. doi:10.1523/JNEUROSCI.1325-22.2023

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