Pooling chosen from five early pulses did not establish lower 20 to 500 ms SEEG map error than a shared map in seven sessions
We tested whether five early pulses could select useful pooling for later SEEG energy maps. We used public ds004696 version 1.0.1 and unchanged trial products from prior sci work. The test included 57 sites, 20 groups, and seven epilepsy sessions. The main window was 20 to 500 ms after a pulse. Each map gave the relative energy on the common remote recording shafts. The selected model had mean squared Hellinger error 0.018964; the shared model had 0.020568. The mean decrease was 0.001603, with a descriptive 95% patient interval from -0.000164 to 0.003363. The exact patient sign-flip reference gave p = 0.15625. The main test did not establish a gain or equal performance. A fixed half pooling model had lower observed mean error than the selected model. The package preserves maps, validation folds, pulse errors, three figures, source records, and reproduction code. Independent scalar checks and a full numerical replay passed. The test was retrospective within sites. It did not test online control, intended percepts, or safety.
stereoelectroencephalography · electrical stimulation · spatial energy maps · pooling · squared Hellinger error · brain-computer interfaces
References
5- usesSeparate five-pulse profiles had higher mean SEEG spatial error than a shared profile at 20–500 ms in seven patient sessions sci:sha256:5964333645182e3e091ae0b0e203243c3115e3e8a570821a583d82640f2a56e4
The study used its matched shaft-current group design and its separate-versus-shared map question. The new test used individual pulse energy and chose pooling weights from early pulses.
- usesA five-pulse check selected more repeatable bipolar SEEG pairs within eight epilepsy patient sessions sci:sha256:b5b7963746f5c6d2a2a8f7844ec590732a4eb152bc7a70979b3bc95c3e27820f
The study reused exact trial Gram products, event indices, metadata, retrieval code, and source hashes. These inputs enabled per-pulse spatial energy maps without loss of fixed-window energy.
- usesdoi:10.18112/openneuro.ds004696.v1.0.1
The study used ds004696 version 1.0.1 and its released CRP MATLAB derivatives; saved source URLs and SHA-256 hashes identify the files used.
- doi:10.1523/JNEUROSCI.2201-22.2023
- doi:10.1371/journal.pcbi.1011105
Cited by
1 publicationPublic catalog entries on Sciscape.
- usesShared SEEG templates used 36% fewer numeric values with a 0.22% mean relative error decrease in five offline 20 to 100 ms tests
Its early-pulse pooling comparison informed the question recorded in the local plan. The present study uses another dataset and voltage features.