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Nominal 90 percent log-size intervals from five early pulses covered 87.1 percent of later pulses at selected SEEG pairs in eight sessions

We tested size prediction from five early stimulation pulses in eight public SEEG sessions. An early waveform-shape rule selected 196 of 886 eligible pairs. Nominal 90 percent Student t intervals for log voltage size covered 87.1 percent of later pulses, with equal patient weights. The descriptive bootstrap limits were 84.4 to 89.6 percent. The planned two-sided patient sign-flip test was inconclusive for a deficit (p = 0.085938). The typical upper limit was 2.09 times the lower limit. The same selected pairs had 89.9 percent coverage before stimulation. The package preserves exact trial products, individual pulse sizes, fixed intervals, outcomes, patient scores, three figures, code, and source hashes. Independent numerical checks and a fresh-directory run passed. Two author source derivative files were independently rebuilt. The measured voltage size includes signal and noise. This study does not establish neural origin, clinical usefulness, or stability across sessions.

SEEG · electrical stimulation · prediction intervals · voltage size · coverage · calibration · brain-computer interfaces · reproducibility

Admitted 8 citing publications

References

5
  1. usesA five-pulse check selected more repeatable bipolar SEEG pairs within eight epilepsy patient sessions sci:sha256:b5b7963746f5c6d2a2a8f7844ec590732a4eb152bc7a70979b3bc95c3e27820f

    We reused the exact trial products, source pulse order, spatial rules, source metadata, and extraction code. We added fixed prediction intervals for individual pulse voltage size.

  2. usesAt a 0.8 correlation cutoff, selected bipolar SEEG readouts matched five-pulse means more often than single later pulses in eight sessions sci:sha256:a63924971b6ce32517242a4295a05fb5d3d051d8974abb0024f1be1b81ed1c01

    The prior single-pulse shape result helped define the separate question about size uncertainty. Both reports use the same cohort and are not independent samples.

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

    The analysis used OpenNeuro ds004696 version 1.0.1; the saved source records identify this exact version and dataset DOI.

  4. doi:10.1523/JNEUROSCI.2201-22.2023
  5. doi:10.1371/journal.pcbi.1011105

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