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Five consecutive SEEG decisions did not show higher mean response detection under a shared calibration limit in eight sessions

We tested whether five consecutive decisions above a threshold improve a fixed SEEG decoder. We used public OpenNeuro ds004473 version 1.0.2 and one session from each of eight patients. Each patient had epilepsy. Each rule had its own threshold. Earlier continuous data set each threshold under the same limit of 10 background commands per minute. Separate later data gave mean response detection of 22.8% for one decision and 18.5% for five decisions. The paired change was -4.3 percentage points. Its descriptive 95% patient bootstrap interval was -14.0 to +3.7 points. An exact paired test by sign reversal gave p = 0.453. Mean background command rates were 7.2 and 7.5 per minute. At a shared zero threshold, five decisions reduced both background commands and detection. This offline result did not establish a detection gain or equal performance. Background commands are a proxy for unintended commands. The study did not test online control or brain stimulation. The package contains source code, fixed features, source versions, checks, tables, and four figures.

stereoelectroencephalography · brain-computer interface · response detection · persistence rule · calibration · offline replay

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References

5
  1. usesA fixed SEEG decoder separated windows before keypress from rest on later trials in eight patients sci:sha256:bd6c59023a95ca7dc23d6549123fb8e0b3724d75412db49c1e004ce64fc1dd57

    This is the source of the archived event features and event extraction code. It defines the fixed bipolar spectral features and training windows used by the direct parent and this study.

  2. usesAt a zero threshold, eight-pair SEEG decoders gave a mean of 36.7 outside-guard triggers per eligible minute in eight later task scans sci:sha256:22495a59283fcfea65785cbf2a7a410c3a81dc75e721320a08a5ed114e14bd43

    We used its unchanged event and continuous feature arrays, fixed decoder code, pinned raw-source records, and continuous retrieval code. We added a persistence-rule comparison with separate early continuous calibration and later testing.

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

    Source task recordings analyzed here; the archived dataset description identifies version 1.0.2 and its CC0 license.

  4. doi:10.1088/1741-2552%2Facae0a
  5. doi:10.1109/TNSRE.2004.827220

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