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Pair power ratios changed decoder decisions under simulated 5% contact gain errors in eight SEEG recordings

We tested small constant contact gain errors in public SEEG data from eight people. Early trials selected eight bipolar pairs and fit three task state decoders. Later trials tested gain 0.95 or 1.05 at one recorded contact before digital subtraction. Pair power ratios changed 1.75% of decisions as an equal person and case mean. Recorded balanced accuracy was 67.05%. Mean case accuracy was 67.26%. The primary recorded-minus-case difference was -0.21 percentage points. The descriptive 95% person bootstrap interval was -0.46 to 0.02 points. The exact two-sided sign-flip probability was 0.179688. The primary test did not show a clear mean accuracy change. Common shaft gains changed no ratio decisions. We preserve a 2.27 MB spectral dataset. It exactly reconstructs band power for constant gains at either contact under the stated estimator. We also preserve code, source hashes, raw audits, scores, and three figures. Direct waveform checks and a full numeric repeat passed. This offline artificial gain test does not establish natural hardware faults, online intent detection, or brain stimulation performance.

stereoelectroencephalography · SEEG · power ratios · contact gain · brain-computer interfaces · spectral power · logistic regression

Admitted 5 citing publications

References

5
  1. usesBand power ratios retain 67.0% balanced accuracy under simulated constant voltage gains per shaft in eight SEEG recordings sci:sha256:fa4b2be456049aafc97572ea0a4d44239abb9b5dc00341d8bcb7a0fd368bf201

    Used its pair and shaft power ratio transforms and common shaft gain result to define the boundary tested here. The new study applies small unequal gains to recorded contacts before digital bipolar subtraction and preserves exact spectral moments.

  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

    Used its exact retained trial records, candidate power features, source metadata, pinned byte-range hashes, and EDF extraction helpers. Fresh retrieval matched every selected native feature. Selected pairs and clean absolute accuracy also matched.

  3. usesCovariance gates increased mean rejection of faulty and recorded inputs under simulated contact gain 4 in eight offline SEEG tests sci:sha256:f6f73c27ffdcc0cee8e6993116ed7fca70712e0061e5ed6955e88a43107e3d96

    Read its larger single-contact gain fault and input rejection study to define prior scope. This study tests small contact errors in fixed ratio decoders. Its contact data and gate scores were not copied.

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

    Analyzed SEEG source data: OpenNeuro ds004473, version 1.0.2.

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

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