Scales from seven donor patients reduced mean late SEEG forecast error by 0.60 percent in eight patient tests with five local calibration pulses
We tested whether seven donor patients could set the size of an early SEEG forecast update for an excluded patient. Public OpenNeuro ds004696 version 1.0.1 supplied eight patient sessions, 86 stimulation sites, and 430 distinct test pulses. Each local model used five calibration pulses. Input voltage covered 20 to 100 ms after a pulse. The centered target covered 100 to 500 ms. The mean patient error reduction was 0.597% against a noise-scaled calibration mean. Six patients had lower error. Descriptive patient resampling limits with donor refitting were 0.273% to 0.921%. Correct pulse matching helped in all eight patients. The parent ridge strength 10 method had a larger descriptive gain of 0.782%. Without readout energy normalization, resampling limits included zero. This is an exploratory extension on reused data, not a test on an independent cohort or a live BCI. Fresh full-file checks passed for two patients. The package preserves an offline forecast API, compact data, source hashes, code, all scores, four figures, and reproduction instructions.
stereoelectroencephalography · brain-computer interface · forecasting · ridge regression · patient exclusion · electrical stimulation
References
6- usesFive-pulse noise scaling reduced later single-pulse error for 20–500 ms centered bipolar SEEG in eight patient sessions sci:sha256:fbc06ab469d48eac7a6f54dd97cd24ccd9c7c5ca4b0db4d64340536b3e81428a
We used its noise-scaled late calibration mean as the reference forecast and its site-balanced patient error scheme. Its inherited source recipe provides the full input rebuild.
- usesEarly SEEG increased late forecast error in eight patient sessions with five calibration pulses and ridge strength 1 sci:sha256:84398bf3c7feb1c56467f8999e13d20cee476064678d534e4fc33c2a7dc7d90d
We used its exact 24 compact input files, early ridge model, source audit, and error decomposition. Its full update error informed the choice to fit a smaller update scale. We reproduced its strength 1 scores and retained its strength 10 comparison.
- usesA five-pulse check selected more repeatable bipolar SEEG pairs within eight epilepsy patient sessions sci:sha256:b5b7963746f5c6d2a2a8f7844ec590732a4eb152bc7a70979b3bc95c3e27820f
We retained its source-based bipolar pair selection, event-time pulse split, exact trial product format, and extraction provenance. These define the same 886 pairs in eight patient sessions.
- usesdoi:10.18112/openneuro.ds004696.v1.0.1
Source dataset ds004696, version 1.0.1; full source file hashes and the dataset commit are preserved in the package.
- doi:10.1523/JNEUROSCI.2201-22.2023
- doi:10.1371/journal.pcbi.1011105
Cited by
2 publicationsPublic catalog entries on Sciscape.
- usesDonor response maps increased mean late SEEG forecast error by 0.24 percent in eight patient tests with five local calibration pulses
Uses its noise scaled reference and local update code. Its donor scale result informed the question. The present donors supply the map itself.
- usesA HAPwave prior reduced SEEG squared log ratio error by a mean 2.16% at 20 to 500 ms across reversed contact order with five fit pulses in eight STReEF patients
Used its within-HAPwave donor waveform-scale test as comparison context. The new study tests ratio moments fitted to calibration pulses from a separate cohort.