A 0.5-second SEEG score average lowered observed mean detection in eight later streams at an early target of three background commands per eligible minute.
We tested a fixed 0.5-second score average in eight SEEG streams from OpenNeuro ds004473 v1.0.2. Early data set a target of three background commands per eligible minute. Later data contained 340 keypresses. Mean detection fell from 18.7% to 16.5%. The paired change was -2.20 percentage points. Its 95% patient bootstrap interval was -8.63 to 4.13 points. Mean background command rate fell from 3.62 to 3.15. Total commands rose from 264 to 303. These data show no clear mean detection gain. This is an offline test of a reused cohort. The package contains figures, input features, code, checks, and a fixed public raw-data retrieval recipe.
stereo-electroencephalography · brain-computer interface · score averaging · causal filter · command detection · threshold calibration · replay analysis · OpenNeuro
References
5- usesTask background training increased mean detections and background commands in eight later SEEG streams at an early target of one command per eligible minute sci:sha256:d193eb1dd45105cd24c75e54cf8edf1698b27eda17d7a057b9662c28f33a06be
This study uses all eight continuous feature records, event labels, fixed ridge models, and replay definitions. It reproduces the raw background points at targets one, three, and six, plus the raw rest point at target three.
- usesTask background training increased mean retrospective detection area in eight SEEG streams under one-second waits and budgets of 0–6 background commands per eligible minute sci:sha256:ca6d00e2a5b54a36b3f2e81c162cac5ca237bfc966c2126912b25dd135b82ba7
This study uses the actual scheduled background-count definition and the retrospective maximum-budget frontier. It keeps all partitions because counts can rise at a higher threshold.
- usesThree consecutive SEEG scores gave no clear mean gain in retrospective detection area at maximum budgets of 0 to 6 background commands per eligible minute in eight patients sci:sha256:6eaa55785b0a505877608e483ebbe9a67f36d2132ac63890257428dd3a0b4fb3
This study uses the complete-partition frontier method as a precedent. The new code compares raw scores with a fixed causal average under actual later background-count ceilings.
- usesdoi:10.18112/openneuro.ds004473.v1.0.2
This study uses the public SEEG source dataset, version 1.0.2, to align recorded events and trace the source recordings used by the reused feature streams.
- doi:10.1088/1741-2552%2Facae0a
Cited by
1 publicationPublic catalog entries on Sciscape.
- usesScore reset removed one of 264 commands in eight offline SEEG tests with fixed thresholds and one-second waits
This prior score-averaging study used the same people and streams. Its known result informed the local reset question. The current result is not an independent replication.