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A five-pulse test did not establish lower SEEG size prediction error from pre-pulse RMS in eight patient sessions

The test did not establish lower prediction error for a pre-pulse RMS feature. We tested a simple forecast of post-pulse voltage size in public SEEG data from eight epilepsy patient sessions. The forecast used voltage from 500 to 20 ms before each pulse. One slope per patient was fitted from the first five good pulses at each site. The final five good pulses were held out. There were 86 stimulation sites, 886 stimulation-to-readout pairs, and 430 distinct test pulses. The target was the natural log of centered voltage RMS from 20 to 500 ms after the pulse. The mean patient reduction in squared prediction error was 1.2% relative to a fixed five-pulse mean. The descriptive 95% patient bootstrap interval was -4.9% to 8.2%. The exact two-sided patient sign-flip value was 0.625. 5 of eight patients had lower error. An added fit that used only earlier completed calibration sets gave a mean reduction of 2.1%. Its patient interval also included zero. Controls test background persistence and pulse alignment. The outcome includes ongoing activity. It does not isolate a response caused by stimulation. The package contains small exact input measurements, predictions, figures, verified source hashes, code, and a source retrieval recipe.

stereo-EEG · intracranial EEG · electrical stimulation · voltage RMS · prediction error · epilepsy · brain state

Admitted 10 citing publications

References

5
  1. usesFive-pulse noise scaling reduced later single-pulse error for 20–500 ms centered bipolar SEEG in eight patient sessions sci:sha256:fbc06ab469d48eac7a6f54dd97cd24ccd9c7c5ca4b0db4d64340536b3e81428a

    We used the pinned source identities, spatial rules, pulse selection, and extraction code. We rebuilt all eight source files and added a window before the pulse for a new RMS prediction test.

  2. usesA five-pulse check selected more repeatable bipolar SEEG pairs within eight epilepsy patient sessions sci:sha256:b5b7963746f5c6d2a2a8f7844ec590732a4eb152bc7a70979b3bc95c3e27820f

    We used the bipolar rules for contacts in the same reference block and the five-pulse shape check for a planned subset.

  3. usesdoi:10.18112/openneuro.ds004696.v1.0.1

    The analysis used the source-author trial arrays and metadata from OpenNeuro ds004696 version 1.0.1, with source-file SHA-256 checks recorded in the package.

  4. supportsdoi:10.1523/JNEUROSCI.2201-22.2023

    This is the source study describing the public limbic stimulation dataset analyzed here.

  5. doi:10.1111/epi.17528

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