Agreed task labels from separate SEEG shaft groups had 31.0% mean error after condition changes in eight recordings
We tested joint errors of two fixed SEEG task-state readers on separate electrode shaft groups in eight public recordings. Each reader used four bipolar pairs and 32 early fitting trials. The next condition segment supplied 975 test trials. Mean agreement acceptance was 55.2%. Error among accepted windows was 31.0%. Mean joint errors were 16.23%, against 15.74% for a local class-conditioned pairing reference. The mean excess was 0.49 percentage points. Its descriptive 95% person interval was -0.30 to 1.24 points. The exact person sign-flip p value was 0.2578. The paired-trial permutation p value was 0.1733. The primary test did not establish excess errors or error independence. The reference needs exchangeable trial pairs within local blocks. A full reader gave 30.8% mean error at the same accepted count, using a retrospective confidence rank. This exploratory study reused OpenNeuro ds004473 version 1.0.2. Labels required known events, and inherited quality checks used later signal. The package preserves the plan, features, models, predictions, figures, source records, raw retrieval recipes, code, and repeat instructions. All 24 fresh raw ranges matched archived hashes. A separate process reproduced all ten numerical result files.
stereoelectroencephalography · brain-computer interface · joint errors · agreement gate · task-state decoding · error pairing · clinical recordings · exploratory study
References
6- usesFixed early confidence thresholds reduced mean task state error to 24.5% at 49.6% retention after condition changes in eight offline SEEG tests sci:sha256:67664491c0474529f745f7fca563fcc1e5964887d611b1c9b90a66aa6e227ae6
This fixed confidence study supplied context for testing output acceptance. We made a new agreement rule and confidence benchmark without reusing fitted states.
- usesEight fixed SEEG decoders scored 65.8% mean balanced accuracy for response versus rest windows after task condition changes sci:sha256:27c3a162d5f23c03418feb1337bb50c3dbd6fcf78da3fdc3bdc12da973491084
This study supplied the early fitting and next-condition test split design. We fitted new readers on separate shaft groups.
- usesEight SEEG pairs classify pre-response and rest windows at 70.7% mean balanced accuracy in later trials from eight recordings sci:sha256:c74068384c7c056974c8568aab987cf5a8eee9979a622c22efa1b67a911e77fd
This source study defined the bipolar power features and inherited trial checks reused here.
- usesRadial basis SEEG readers did not improve mean accuracy after condition changes in eight recordings with 32 calibration trials sci:sha256:7444453b74cf0b0785a1dba5ab92ff815901c11e4d62bbc64eba8055f9cbc3dc
This publication supplied the feature arrays, trial records, source metadata, raw range recipes, and unchanged retrieval code used in the new analysis.
- usesdoi:10.18112/openneuro.ds004473.v1.0.2
This is the exact OpenNeuro dataset version used for the eight recordings, features, and source records.
- doi:10.1088/1741-2552%2Facae0a
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