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Mean balanced accuracy was 0.17 percentage points lower with shaft loss training than with contact loss training in eight SEEG recordings under simulated shaft loss with mean replacement

We tested whether training with one shaft loss improves SEEG task state decoding under simulated shaft loss. We used eight public recordings, eight selected bipolar pairs per patient, and a chronological test split. Loss was detected perfectly. Missing log power was set to its training mean. Mean balanced accuracy was 68.96 percent with shaft loss training and 69.13 percent with contact loss training. The paired difference was -0.168 percentage points. The descriptive 95 percent patient bootstrap interval was -0.511 to +0.150 points. The exact two-sided p value was 0.421875. This test did not establish a gain or equivalence. The package preserves source records, code, models, predictions, and figures.

stereoelectroencephalography · brain-computer interfaces · electrode loss · robustness · task-state decoding · balanced accuracy · bipolar signals

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References

5
  1. usesLoss training raised mean accuracy by 0.34 points under simulated contact loss in eight SEEG decoders sci:sha256:884a92921286ae95392544128af6a4f343937c3b760e03bce164eec4599853d4

    This work supplied the contact loss training code and frozen parent models. We reproduced its models and used its contact loss fit as the primary comparator for shaft loss training.

  2. 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 work supplied the eight public SEEG feature sets, raw byte range records, extraction rules, and standard chronological decoder. We kept its data rules and reproduced its standard model before testing shaft loss.

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

    The analyzed source is OpenNeuro ds004473 version 1.0.2; the exact-version metadata record reports this dataset DOI and CC0 license.

  4. doi:10.1088/1741-2552%2Facae0a
  5. doi:10.1038/ncomms13749

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