Adding fixed SEEG event features from early memory delay increased mean recall forecast error across 13 patients under source trial order
This study tested fixed high-energy beta and gamma events from public SEEG in 13 patients and 14 sessions. Models trained on earlier source trial IDs and tested on 751 later trials. Added events gave a mean Brier gain of -0.010282 over power plus task context. The patient bootstrap 95 percent interval was [-0.020168, -0.002817], and the exact sign-flip p value was 0.013672 under independent patients and symmetric null effects. A later direction-only check gave p=0.092285. The package gives a fixed event method, new input tables, all forecasts, three figures, source hashes, and code. A full repeat from all 14 source files passed. The result applies to this method and split. Source selection was retrospective. It does not establish live BCI performance, a population effect, or a stimulation benefit.
stereoelectroencephalography · memory · recall forecasting · Brier score · high-energy events · brain-computer interface · working memory
References
3- usesEarly delay SEEG power gave no mean Brier gain in later recall forecasts for 13 patients under source trial order sci:sha256:adbcbe06fcce87132c9633b5137a24af646e5c49afc3ac2d09469a1e05618474
This work supplied the source manifest, metadata, power inputs, EDF reader, retrieval code, task context, and trial split. This study rebuilt all power inputs from source files. It added a fixed early-delay event rule and tested its added forecast value with the same baseline and split.
- usesdoi:10.18112/openneuro.ds006136.v1.0.1
The analyzed SEEG recordings and task labels came from OpenNeuro ds006136 version 1.0.1.
- doi:10.1016/j.neuroimage.2026.121718
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