With fixed ridge models, four selected SEEG contacts had lower mean accuracy than all usable contacts on the last matched block in eight epilepsy patients
We tested response-period detection in public SEEG data from eight epilepsy patients. A fixed ridge model used three power bands. Contacts were selected from training trials. The test used each patient’s last matched task block. Four selected contacts gave 62.5% mean balanced accuracy. All 119 to 126 usable contacts gave 68.8%. The paired loss was 6.3 percentage points, with a 95% participant interval of 0.9 to 12.0 points. Random splits gave no clear mean gain over the last-block test. The package preserves 2,059 trial pairs, features, source byte hashes, models, predictions, figures, and reproduction code. This is a test within one session. It does not establish movement-intent decoding or clinical BCI performance.
stereoelectroencephalography · SEEG · brain-computer interface · ridge regression · contact selection · response detection · temporal generalization · balanced accuracy
References
2- usesdoi:10.18112/openneuro.ds004473.v1.0.1
The analyzed recordings and metadata are from OpenNeuro ds004473 version 1.0.1; the package records the source commit, object versions, byte-range hashes, and retrieval recipe.
- doi:10.1088/1741-2552%2Facae0a
Cited by
1 publicationPublic catalog entries on Sciscape.
- usesRidge weights from training data gave mixed error changes under known input loss in eight SEEG recordings
This test uses its archived trial features, source range recipe, and later-block split. It reproduces its four-contact model as a check.