sciscape Publications
← All publications

SEEG sets at a 90% trial coverage target gave a mean output yield of 34.2% and a mean accepted error of 17.3% in eight later-trial tests

A brain interface can hold an output when its label is uncertain. We tested this rule with public SEEG data from eight patients in OpenNeuro ds004473 version 1.0.2. Each trial gave one rest window and one window before a response. We fitted an eight-pair decoder on early trials. We used a separate earlier block to set conformal thresholds. We tested fixed sets on 674 later trials. At the 90% target, whole-trial sets contained both true labels in 91.1% of test trials on average across patients. The sets gave one label in 34.2% of windows. Mean error among these accepted outputs was 17.3%. Separate class bounds with a split error budget gave one label in 30.7% of windows and had 92.2% trial coverage. Whole-trial sets increased output yield by 3.5 percentage points and reduced observed coverage by 1.1 points. Four of eight patients had trial coverage below 90%. The conformal bound requires exchangeable trial scores. Task mixtures changed across the time blocks, so this assumption is not established. Trial coverage does not bound error among accepted outputs. These results apply to event-defined, quality-selected windows in one recording per patient. They do not measure live command control or brain stimulation. The package has exact features, signal samples, source hashes, model states, all trial scores and sets, three figures, and code for reproduction.

stereoelectroencephalography · conformal prediction · brain-computer interfaces · trial coverage · selective classification · epilepsy

Admitted 2 citing publications

References

5
  1. usesEight SEEG pairs classify pre-response and rest windows at 70.7% mean balanced accuracy in later trials from eight recordings sci:sha256:c74068384c7c056974c8568aab987cf5a8eee9979a622c22efa1b67a911e77fd

    We used its exact SEEG feature files, source records, audit signal ranges, and retrieval code.

  2. usesEarly confidence scaling decreased mean Brier error from 0.193 to 0.185 in eight offline SEEG patient tests sci:sha256:f3d79f04937a343945e7a53f5b54b00a0284174fca051959a818f1c79d41a7d1

    We used its separate fit, calibration, and later test split to measure label sets and accepted output error.

  3. usesLater trials in eight SEEG recordings have mean 2.4% rest alarms and 9.5% response detection after five-window calibration at a nominal 5% level sci:sha256:27bec93de3b3dbe8422d1acb7c4215daea370ab23679127193fb3108c7437981

    Its rest-scan bounds informed our choice to match calibration scores to a whole trial decision unit.

  4. usesdoi:10.18112/openneuro.ds004473.v1.0.2

    The analysis uses all eight recordings from OpenNeuro ds004473 version 1.0.2.

  5. doi:10.1088/1741-2552%2Facae0a

Cited by

2 publications

Public catalog entries on Sciscape.