A shared early response update gave no clear 100–500 ms SEEG forecast gain after five calibration pulses in eight sessions
We tested whether an early SEEG response can improve a later voltage forecast after electrical stimulation. Public OpenNeuro ds004696 v1.0.1 supplied eight patients, 86 sites, and 886 site/readout instances. Five distinct pulses per site fit templates. Five later pulses tested them. At 100 ms, one shared coefficient used only completed calibration responses in the same patient. It updated the centered 100–500 ms mean waveform from the centered 20–100 ms input. Mean patient error reduction from a scaled template baseline was 0.046%. The descriptive 95% patient bootstrap interval was -0.026% to 0.116%. Separate readout updates increased mean error by 0.848% and increased error in all eight sessions. Pre-pulse and shuffled-input controls did not show a clear benefit specific to the early trace. This exploratory test reused a cohort and did not test new patients or a live interface. The package preserves exact native voltage products, three figures, all controls, result tables, source hashes, and method descriptions. GPL analysis and extraction code is excluded, so the exact calculation implementation is not publicly replayable from this package. Two full public source files were rebuilt exactly. Native voltage checks and full numeric replay passed.
stimulation-evoked potentials · SEEG · brain-computer interfaces · voltage forecasting · calibration · time-ordered evaluation
References
5- 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
The separate waveform update test informed the early-to-late question and the scaled-template baseline. The new rule restricts the update to the local late mean and shares one scalar coefficient across only sites whose calibration responses ended before each test cutoff.
- usesPower weights fit from five pulses gave no clear mean 20–500 ms SEEG voltage forecast gain in eight sessions sci:sha256:5f8ad290d211abb81202a82ed21683bfe60c8df22cceb4e18c340cf2fc14ee28
The all-pulse native voltage product matrices, source tables, metadata, voltage example, and retrieval code supplied the measurements for this new time-ordered shared-coefficient test. All copied used files were hash checked. Two complete public source files were rebuilt in this run.
- usesEarly RMS did not lower mean late SEEG forecast error in fixed linear models with five calibration pulses per site in eight patient sessions sci:sha256:0a1332bac59dbb1f0933a47b90b106e503aad6a2bade7e7142173f46e206deb5
The early RMS forecast result informed the question and the decision to include a pre-pulse control. This study tests centered later voltage shape with a shared signed projection coefficient, rather than RMS size.
- usesdoi:10.18112/openneuro.ds004696.v1.0.1
The eight-patient voltage measurements used in this test came from OpenNeuro ds004696 v1.0.1.
- doi:10.1523/JNEUROSCI.2201-22.2023
Cited by
2 publicationsPublic catalog entries on Sciscape.
- usesSignals from other shafts raised mean 120 to 500 ms SEEG forecast error with past calibration at ridge penalty 1 in eight patients
We compared our result with its prior time-ordered scalar update test after our scores were calculated. Its voltage products, cohort, and model differ. Its data were not an input to this analysis.
- usesA map trained on other sites gave a 0.63% mean gain for 100–500 ms SEEG forecasts at 86 sites in eight patients with five calibration pulses per site and complete donor calibration
Scaled mean reference and related forecast question.