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Shared removal gave mixed 20–500 ms SEEG forecast effects and raised error on shafts with simulated gain 4 faults after five calibration pulses in eight people

We tested one shared pulse removal decision against separate decisions for each recording pair in public SEEG data from eight people with epilepsy. We used 85 stimulation sites and 879 recording pairs. The first five good pulses supplied calibration data. The final five supplied targets. The shared rule used only calibration data and gave each recording shaft equal weight. Both rules scaled the mean of four retained waveforms. For 20 to 500 ms forecasts, shared removal reduced error by a mean of 0.046 percent on recorded data and 0.050 percent with one gain 4 error at all recording pairs. Both descriptive intervals included zero. The shared rule removed the imposed pulse error in 99.20 percent of tests, compared with 97.14 percent for separate removal. When a gain 4 error affected only one shaft, shared removal raised affected-shaft error by 1.44 percent. Error rose in seven of eight people. The whole-panel score showed little change. This result shows why a calibration test must also score affected recordings separately. The package retains exact compact data, source pins, figures, decisions, scores, and checks. GPL analysis and extraction scripts remain in the local historical archive and are excluded. The imposed errors changed processed waveforms, not a device or stimulation current.

stereoelectroencephalography · calibration · electrical stimulation · forecasting · pulse removal · signal processing

Admitted 1 citing publication

References

4
  1. usesTwo early measures reduced loss for five-pulse SEEG error estimates at 20–500 ms in six of eight patients with epilepsy sci:sha256:2ec57e903cd6cf5d928e65830539ed8a3910ae6232968bc008a4c4857e01caa1

    This publication supplied the compact pulse inner products, recording-pair tables, site tables, and source metadata. We kept these inputs unchanged and applied a shared calibration pulse decision.

  2. usesRemoving one of five pulses before noise scaling raised 20 to 500 ms SEEG forecast error on recorded data but cut error with one simulated gain 4 fault in eight people sci:sha256:4f43f65125e497b6f130f17adf75b30cc6c07f92f67317b09d124ae8392219b1

    This publication supplied the separate-pair pulse removal and mean scaling reference. We added a shared panel decision and a one-shaft error test. This study used the final five target pulses; the prior study used all later good pulses.

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

    Processed SEEG trial voltages from OpenNeuro ds004696 version 1.0.1 supplied the source data.

  4. doi:10.1523/JNEUROSCI.2201-22.2023

    Source study describing the OpenNeuro dataset and its SEEG recordings.

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