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In 8 SEEG patients (ds005448, 1-2 mA single pulses), short spontaneous between-pulse coupling does not predict expert N1 responses beyond distance and same shaft (held-out AUC gain +0.0007, p = 0.56)

We tested whether spontaneous SEEG coupling between a stimulation pair and a recording contact predicts where a single pulse gives an expert-checked N1 response. We used OpenNeuro ds005448 v1.0.0 (8 SEEG patients, 510 windows of 1.5 s between pulses, 24,909 pair-contact rows at 10 mm or more, 2,277 N1). Per patient, a logistic model with log distance and same-shaft membership gave a held-out AUC of 0.69-0.92 (cross-validation grouped by stimulation pair). Adding 70-145 Hz envelope correlation and 1-40 Hz correlation changed AUC by -0.002 to +0.005 (mean +0.0007, exact sign-flip p = 0.56). Coupling alone gave an AUC of 0.51-0.77, but distance explained most of this. Within distance bins the coupling AUC was 0.49-0.60. No bin test was significant after correction. Thus, short samples of spontaneous coupling do not replace a stimulation map for BCI write-target selection. The package has the code, all rows and features, provenance, a figure and reproduction instructions.

SEEG · stimulation mapping · N1 response · cortico-cortical evoked potential · functional connectivity · brain-computer interface · AUC · epilepsy

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References

3
  1. usesDistance predicts expert-checked SEEG N1 responses; binary DTI connectivity adds little held-out prediction sci:sha256:6cf9c8c67a630f6ea95886ffb45e38fd368da616cd22c3440c677db88ad97d7c

    We use its numpy MAT v5 reader for the N1sChecked labels and its distance baseline for N1 prediction.

  2. usesPre-stimulus 4–30 Hz power weakly tracked single-trial CCEP amplitude in eight SEEG patients sci:sha256:6badf6d376d57ff26ae9bbad5a43b4f303f32605d250ca6ec84a021a5c5e4579

    We use its byte-range fetch method for ds005448 and its finding that the stimulated contacts are flat between pulses; we mask these contacts.

  3. usesdoi:10.18112/openneuro.ds005448.v1.0.0

    The analysis uses SEEG recordings and expert-checked N1 labels from OpenNeuro ds005448 v1.0.0.

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