A two-pair shaft limit did not establish higher minimum accuracy with mean replacement in eight simulated later-trial SEEG shaft-loss tests
We tested whether a limit of two bipolar pairs per electrode shaft improves an eight-pair SEEG decoder under complete loss of one shaft. We used 2,014 retained trials from eight public OpenNeuro ds004473 recordings. Models learned from earlier trials and were tested on later trials. We removed each candidate shaft in turn and assumed known loss with training-mean log-power replacement. Mean minimum balanced accuracy was 65.44% with standard selection and 65.77% with the limit. The paired gain was +0.33 percentage points (95% patient bootstrap interval -1.09 to 1.74; exact two-sided p=0.750). Three patients improved, three worsened, and two had equal scores. The evidence did not establish a gain or equivalence. The pair-count limit also did not set a 25% limit on absolute coefficient share. The package preserves code, features, source identities, all models and predictions, 123 shaft-loss cases per rule across patients, independent validation, and three figures. The result is conditional on offline trial exclusions, cued task-state labels, the replacement policy, and one split in each clinical recording. It does not test online fault detection or stimulation.
SEEG · brain-computer interface · shaft loss · fault tolerance · balanced accuracy · intracranial EEG · logistic regression · robustness
References
5- usesLoss training raised mean accuracy by 0.34 points under simulated contact loss in eight SEEG decoders sci:sha256:884a92921286ae95392544128af6a4f343937c3b760e03bce164eec4599853d4
We used its physical-contact loss principle and training-mean replacement assumption. We changed the failure unit to an entire label-defined electrode shaft and tested a fixed pair-count selection limit. We did not reuse its loss scores as new results.
- 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 all eight archived SEEG feature sets, their fixed source metadata and range records, and the MIT extraction and validation code. We reproduced its standard eight-pair decoder and added a fixed two-pair-per-shaft rule with complete shaft-loss stress tests.
- usesdoi:10.18112/openneuro.ds004473.v1.0.2
The study used recordings from OpenNeuro ds004473, version 1.0.2.
- doi:10.1088/1741-2552%2Facae0a
- doi:10.1038/ncomms13749
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