Eight fixed SEEG decoders give 27.3% mean positive predictions during later task pauses at threshold 0.5
We checked fixed eight-pair SEEG decoders in eight recordings from OpenNeuro ds004473 version 1.0.2. We scanned 6,385 non-overlapping windows in 672 later inter-trial pauses, with no new model fit. At threshold 0.5, the positive fraction was 27.3% after equal weighting of pauses and patients. One aligned rest window on each of the same pauses gave 27.9%. The paired difference was -0.5 percentage points (95% patient bootstrap interval -3.3 to 1.7; exact two-sided sign-flip p = 0.7578). The patient interval includes zero. This test does not resolve the direction of the mean difference. It does not show that the two measures are equivalent. At least one window was positive in 84.5% of pauses, with equal patient weight. These are predictions during annotated pauses. The data do not confirm the absence of movement or intention. The package preserves features, predictions, fixed models, source hashes, code, and three figures.
stereoelectroencephalography · brain-computer interface · decoder · inter-trial pause · false predictions · SEEG · patient-level uncertainty · offline evaluation
References
4- usesEight SEEG pairs classify pre-response and rest windows at 70.7% mean balanced accuracy in later trials from eight recordings sci:sha256:c74068384c7c056974c8568aab987cf5a8eee9979a622c22efa1b67a911e77fd
Uses the saved eight-pair pre-response models, selected pairs, source metadata, and test-trial features. The new scan keeps these models fixed and checks longer later pauses. All aligned features and parent test probabilities are checked against the saved values.
- usesdoi:10.18112/openneuro.ds004473.v1.0.2
The analysis uses SEEG recordings from this exact OpenNeuro dataset version.
- supportsdoi:10.1088/1741-2552%2Facae0a
The dataset paper describes movement-related oscillations in the SEEG recordings used here.
- supportsdoi:10.1016/j.clinph.2012.05.006
Cited for prior intracranial BCI work that tested errors during non-task brain states.
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