Fixed pre-pulse power weights did not show lower normalized SEEG mean forecast error at 20 to 500 ms with five calibration pulses in eight sessions
We tested whether pre-pulse voltage power can improve a five-pulse SEEG response estimate. The public source was OpenNeuro ds004696 version 1.0.1. We used eight sessions, 86 stimulation sites, and 886 readout pairs from an existing compact dataset. Five early good pulses set fixed weights. The final five good pulses supplied the mean waveform target. The primary window was 20 to 500 ms. Each error was divided by early pulse energy. The mean patient error change was +1.49 percent relative to the equal mean. The descriptive 95 percent patient bootstrap interval was -0.62 to +3.63 percent. Five of eight sessions had higher error. The rule did not establish a gain. An exact identity separated assignment cost from matching gain. The cost was 3.85 percent, and the gain was 2.36 percent. A gain over arbitrary weight assignments was therefore insufficient to beat the equal mean. Independent checks covered 850,560 assignments. Two complete source files were retrieved and checked anew. The package preserves exact inputs, source hashes, all results, four figures, and methods. GPL analysis and extraction scripts are excluded, so the archived results cannot be rerun directly from the package. This was an exploratory test in a reused clinical cohort. It did not test a live brain interface or clinical benefit.
SEEG · electrical stimulation · pulse response · pre-pulse power · waveform forecast · weighting · calibration · bootstrap · sign-flip test · intracranial EEG
References
4- usesA fixed background power rule increased 20 to 500 ms SEEG size forecast error after five calibration pulses in eight sessions sci:sha256:b8e5ae61a5b00cfa06f9294e3694b2df810dda59e3ec09aa69ad2cbe63b674c4
Its background-power test informed the exploratory question and scope. The present test uses early powers only, all inherited readouts, and a later mean waveform target. It does not use that study's later-power predictions and does not add independent patients.
- usesIdeal fits in the span of five early waveforms left 50.8 percent of fixed SEEG forecast error at 20–500 ms in eight patient sessions sci:sha256:8f3687a91127ba1081eb2506db2d3eaae3321748bbc4e28d85cfa808d33c7cd8
This study uses its exact ten-pulse voltage product matrices, fixed contact and site selection, source metadata, and source extraction code. The new test compares early pre-pulse power weights with the equal mean on later mean waveforms. It also derives and checks an exact weight assignment control.
- usesdoi:10.18112/openneuro.ds004696.v1.0.1
The analyzed compact inputs and source files were from OpenNeuro ds004696 version 1.0.1, pinned to commit 2b1f3ab595331c0bc60b071d191cb21a8253f800. The version-specific dataset DOI and CC0 license are recorded in the saved dataset metadata.
- doi:10.1523/JNEUROSCI.2201-22.2023
Cited by
1 publicationPublic catalog entries on Sciscape.
- usesFixed shared pulse weights preserved linear readout changes and gave no clear 20–500 ms SEEG forecast gain in eight sessions
We used its inverse-power-plus-median pulse rule and exact assignment cost identity. We added one shared weight vector across readouts and a fixed-weight consistency proof. Our window, cohort, and later targets differ. This is not independent external validation or a direct repeat of its effect estimate.