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Local amplitude increased SEEG prediction error in fixed ridge models with ten pulses per site in five patients

We tested whether local voltage amplitude before stimulation improves prediction of centred voltage after stimulation. We used public SEEG data from OpenNeuro ds004457 version 1.0.2. The fixed sample had five patients, ten pulses per site, and 1,080 selected site and receiver links. We compared two ridge models. Each test pulse was excluded from training. Adding log amplitude increased mean normalized error by 4.78 percent at 60 to 160 ms after stimulation. We averaged relative error changes across links, then across patients. Error also increased by 3.92 percent in a control with two windows before stimulation. The mean difference in error reduction was -0.86 percentage points. The conditional patient sign test gave p = 0.3125. All planned checks are preserved. Stronger regularization reduced the error cost. The result applies to this feature, model, and small selected pulse pool. Other state measures and models remain untested. The package contains source windows, complete raw source checks, code, all main predictions, and reproduction instructions.

stereoelectroencephalography · SEEG · electrical stimulation · ridge regression · local amplitude · prediction error · cross-validation

Admitted 2 citing publications

References

4
  1. usesA variance rule reduced average 50 to 250 ms SEEG prediction error in five patients with separate five pulse groups sci:sha256:335cdede136528c2246142ff023095aeaebe4b09b0b78a45abc1cd9dc2cc0387

    We used its selected SEEG pulse windows, source metadata, selection rules, byte locks, and extraction code. We added individual pulse prediction from local amplitude and a control before stimulation.

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

    Source data: OpenNeuro ds004457 version 1.0.2.

  3. doi:10.1523/JNEUROSCI.1325-22.2023
  4. doi:10.1038/s42003-021-02240-9

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