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A five-pulse derivative update gave a 0.155% mean SEEG forecast gain at 86 selected sites in eight patients

An early time derivative signal gave a small measured gain in a later voltage forecast. The mean decrease in error was 0.155% across eight patients and 86 selected stimulation sites. Four patients had a gain; calibration set the derivative update to zero for the other four. The exact patient test gave p = 0.125. These data do not establish a reliable gain across patients. A full derivative update increased mean error by 1.559%. Calibration of update size was important in this test. The study used public SEEG voltage from OpenNeuro ds004696 version 1.0.1. The first five good pulses at each site set the model; the last five tested it, for 430 test pulses. This retrospective forecast test does not test a stimulation controller or clinical benefit.

stereoelectroencephalography · SEEG · electrical stimulation · forecasting · signal processing · time derivative · brain-computer interface · calibration

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References

7
  1. usesA 30 Hz template derivative captured more later SEEG variation after pulses than before pulses at 86 selected sites in eight patients sci:sha256:641fb48513bf900f363416ccee06e41bcceaf624091b109af03695c0d9c384f1

    This study used its compact source voltage, pulse maps, extraction code, and 30 Hz template derivative method. It added an early-to-late forecast test with calibration-only model fitting.

  2. usesA 20–100 ms response update did not establish lower 100–500 ms SEEG forecast error with five calibration pulses in eight sessions sci:sha256:998694702d548e11a87e09104539f0069a28980ed0862539d91015db3053f24a

    This study used its separate early and later windows, noise-corrected mean reference, and calibration-only shrink approach. It tested a constrained derivative update beyond the same amplitude update.

  3. usesFive calibration pulses gave mean later signed template AUC of 0.939 compared with 0.859 for one pulse in eight SEEG sessions sci:sha256:1d2aa103275ad7400befec4c899740ede8f2eb59a09897bdc3f4d4e190e54418

    This study kept its five-pulse readout choices fixed. It did not use test pulses to choose new readouts.

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

    The study used public SEEG voltage and metadata from OpenNeuro ds004696 version 1.0.1.

  5. usesdoi:10.1523/JNEUROSCI.2201-22.2023

    This is the source experiment paper for the public SEEG dataset analyzed in this study.

  6. doi:10.1371/journal.pcbi.1011105
  7. doi:10.1016/j.heliyon.2023.e18671

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