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eess.SP · Signal Processing

Threshold changes for simulated contact loss did not show a mean background decrease in nine SEEG readers

We tested thresholds after simulated contact loss in nine fixed SEEG readers. The public source was OpenNeuro ds003688 version 1.0.7. We tested all 109 single-contact losses in the selected readers. All pairs that used a lost contact had their four feature values replaced with training means. The test assumed a correct missing-contact flag. Thresholds matched to each loss changed the mean largest background rate from 14.35% to 15.44%. The paired change was +1.09 percentage points. Its 95% participant bootstrap interval was -2.06 to +4.14 points. This test did not show a mean background decrease or establish equal performance. A shared threshold prepared for all losses lowered the mean largest background rate to 7.07%. Mean heard-speech detection fell from 8.03% to 3.22%. The shared threshold bounds output on saved calibration windows. It does not bound future output. The package preserves all loss scores, frozen models, source features, three figures, raw audit samples, hashes, and repeat code. Independent score and raw feature checks passed. A separate process reproduced 13 numeric files exactly. This study reuses one clinical cohort and one film. It does not test intended commands or brain stimulation.

stereoelectroencephalography · brain-computer interface · contact loss · threshold calibration · speech detection · robustness

Admitted 1 citing publication

References

7
  1. usesA passive speech detector exceeded 5% activation in three of nine SEEG rest recordings after music calibration sci:sha256:3caf09d075a0074a3fdb0cdc0b8e28e9759a39af46c06696e7b375088866caf9

    This study uses all nine paired film and rest feature sets, frozen model coefficients, selected pairs, source metadata, extraction code, and raw provenance. It adds exhaustive physical contact loss tests and new threshold comparisons.

  2. usesMixed music and rest calibration gave an uncertain mean background decrease in nine fixed SEEG speech readers sci:sha256:e93cdcd4f215681431efac7ed95bdce4a07a0cb4a2835153c603775e5871db0b

    We reviewed this related threshold comparison on the same readers. It informed joint reporting of background output and heard-speech detection. The present study uses music calibration, whole stored rest tests, and simulated contact loss.

  3. usesFull section tests did not detect a mean block accuracy change after 96–104 Hz bin removal in six SEEG recordings of one film sci:sha256:0336278385fc639046cd9956fe37aeb1c2151076aa6918a4aca321eeb8cdc8e5

    Six film feature sets and raw audit samples came from this work through the paired-reader source publication. This package preserves the source route, full hashes, extraction method, and MIT license notice.

  4. usesdoi:10.18112/openneuro.ds003688.v1.0.7

    Source SEEG recordings and metadata for all nine participants; exact dataset version 1.0.7.

  5. doi:10.1038/s41597-022-01173-0
  6. doi:10.1038/ncomms13749
  7. doi:10.3389/fnins.2026.1816455

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