Recent calibration did not show a clear accuracy gain in eight SEEG recordings with 32 matched calibration trials
We tested whether recent calibration improved later response versus rest classification in eight public SEEG recordings. Early and recent samples each had 32 trials with the same fast and slow task counts. Mean balanced accuracy was 62.90% for early samples and 65.75% for recent samples. The mean change was +2.86 percentage points. A descriptive 95% patient interval was -0.38 to +6.38 points. The exact two-sided patient sign-flip test gave p = 0.171875 under independence and sign-symmetry assumptions. This test did not establish an accuracy gain or equal accuracy. Three planned secondary checks also did not establish a gain. The package supplies a matched calibration test, all sample lists, 872 model states, scores, four figures, and reproduction code. It preserves complete feature data, pinned source records, raw audit ranges, and fresh retrieval checks. These are retrospective tests with known response times and after-response quality rules. They do not establish useful online control or a stimulation benefit.
stereoelectroencephalography · brain-computer interface · calibration · balanced accuracy · response detection · epilepsy · machine learning
References
3- usesWith eight pairs, omitting 70–110 Hz power reduced mean balanced accuracy by 5.6 points in eight offline SEEG tests sci:sha256:e3688bef3ed8761381d86408e300703e855ca508766aef3507db1ef78561ef10
We used all preserved feature files, source metadata, raw audit ranges, and baseline model records. We adapted the decoder utilities and source audit code. We used the source extraction and retrieval code to provide a complete rebuild recipe.
- usesdoi:10.18112/openneuro.ds004473.v1.0.2
This is the exact OpenNeuro ds004473 version used for the eight SEEG recordings; saved dataset metadata identifies version 1.0.2 and its CC0 license.
- doi:10.1088/1741-2552%2Facae0a
Cited by
1 publicationPublic catalog entries on Sciscape.
- uses64 matched calibration trials increased mean later SEEG balanced accuracy over 16 with a fixed penalty in eight offline recordings
This study supplied design context on recent calibration and matched task proportions. We used that context to define a separate calibration-size question.