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Waveform means gave higher mean RMD AUROC than score means with four pulses for withheld shafts in five offline SEEG sessions at 20–100 ms

We tested two ways to combine repeated SEEG responses to electrical stimulation. We used OpenNeuro ds004457 version 1.0.2. The test had five patients, 183 sites, and 38 withheld-shaft folds. Each fold excluded a complete stimulation shaft from model fitting. Both rules used the same four test pulses and the same fixed relative Mahalanobis distance model. We compared the score of the mean waveform with the mean of the four pulse scores. At 20 to 100 ms, mean AUROC was 0.756 and 0.669, respectively. The paired patient difference was 0.087. All five patient means improved. The descriptive 95% patient bootstrap interval was 0.055 to 0.116. The exact two-sided sign-flip p value was 0.0625. Four pulses spanned a median of 14.2 seconds. Three groups spanned more than 30 seconds. An unplanned check without these groups gave a difference of 0.086. We also proved an exact identity for the two score rules. The package has three figures, source code, derived data, models, group scores, and checked source hashes. This exploratory test reused a prior cohort. It did not test a live decision threshold or a future session.

stereoelectroencephalography · electrical stimulation · waveform averaging · relative Mahalanobis distance · AUROC · brain-computer interface · withheld-shaft validation

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References

6
  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 retain the fixed 0.5 diagonal covariance shrinkage rule through the immediate parent code.

  2. usesA relative distance score gave higher mean AUROC but accepted most SEEG responses from withheld shafts in five offline sessions sci:sha256:e20e4bb067514e9b579810b8a02215225203afff58108a2c2ada8ec7689b98d1

    We use its checked voltage bins, fixed recording pairs, site reader, shaft split, and unchanged Gaussian fit. We add a matched-pulse comparison of waveform and score averaging.

  3. usesA fixed SEEG distance rule accepted most pulses from unlearned stimulation shafts in five sessions sci:sha256:ecfcd951080fd4edc42a41327003efe86593c463b7a6afdbbcad8732b89e3028

    We retain its complete stimulation-shaft omission and within-site early-versus-late pulse split.

  4. 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

    Its source contact list, MEF extraction, 5 ms input bins, and raw source manifest make the signal provenance reproducible. We rebuilt the bins from the public raw files.

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

    The analysis used OpenNeuro ds004457 version 1.0.2; the saved exact-version metadata records this DOI and a CC0 license.

  6. doi:10.1523/JNEUROSCI.1325-22.2023

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