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Eight selected streams reduced mean SEEG power reconstruction error after new session calibration compared with even spacing in eight people

We tested sparse signal transmission with public SEEG data from eight people. Each person had two sessions. We selected eight power streams with first-session calibration data. A new 120-second calibration fit the reconstruction model in session two. Even spacing selected eight comparison streams. Both methods used the same later test samples. Mean full vector normalized error was 0.9112 for selection and 0.9755 for even spacing. This was a 6.6% reduction. Seven people had lower error. The paired mean gain was 0.0643. Its descriptive 95% person bootstrap interval was 0.0179 to 0.1164. The sign-flip probability was 0.0391. Most mean gain came from which streams were transmitted directly. The extra gain from prediction of missing streams was uncertain. The mean fraction of reference error removed in omitted streams was 11.3%. The source has no trial labels and an unresolved voltage scale. The result concerns numerical power reconstruction. It does not show better intention decoding. The package contains source code, data, figures, source hashes, and reproduction instructions.

stereo-electroencephalography · SEEG · power reconstruction · sparse signal transmission · channel selection · brain-computer interfaces · cross-session calibration

Admitted 2 citing publications

References

3
  1. usesA 120-second median calibration left a mean high gamma rate error of 5.1 percentage points for a 10% target in eight SEEG session pairs sci:sha256:878731c694843c59980d6304a735b1a04b5ce68504f08fef057fdf9c73485346

    We use unchanged compact power features, raw witnesses, extraction code, and pinned source range records for all eight people with repeated SEEG sessions. The bank selection, reconstruction models, and scores are new.

  2. usesdoi:10.18112/openneuro.ds005624.v1.0.0

    Source data are from OpenNeuro ds005624 version 1.0.0.

  3. doi:10.1109/TNSRE.2024.3364752

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