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Readouts from eight SEEG pairs fitted to early passages gave 0.012 mean speech-envelope correlation in later 12-second segments from ten people

We tested whether a readout using eight adjacent-pair SEEG channels, selected and fitted on earlier passages, could estimate the sound envelope in later 12-second speech segments from the same person. The ten-person mean test correlation was 0.012 (descriptive 95% person-bootstrap interval, -0.027 to 0.052); the group time-shift test gave p = 0.273. Nine of ten combined models had greater squared error than a constant training-mean readout, and only one had lower error. The median test correlation was 0.005, mean squared-error reduction was -13.8%, and mean correlations were 0.003 for voltage-only and 0.017 for high-gamma-only ablations. The result applies to this fixed readout, short calibration, and later passages in the same cohort. It does not establish speech content or intent, performance on a new person, day, or live stream, or that eight pairs are intrinsically insufficient. The contribution retains the full person-level results, controls, figures, and model outputs. Source recordings, audio, event tables, and source-derived input caches are omitted because the saved CC0 dataset metadata conflicts with the dataset README's noncommercial and no-identification restrictions; the source dataset and its terms are linked in the scientific text.

stereoelectroencephalography · speech envelope · neural decoding · temporal transfer · brain-computer interfaces · ridge regression · intracranial recordings

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References

3
  1. usesLocal power ratios gave 52.13 percent mean balanced accuracy for heard sound classes with eight SEEG pairs in later excerpts from ten people sci:sha256:3dd9a550bef98a8cb24fc94fac327140049f0aa8d6f97960740b338ae8b8f777

    We used its source metadata, ten-person session selection, fixed EDF versions and headers, and MIT EDF parser and adjacent-pair rules. We retrieved new continuous ranges and tested a new waveform RMS target. This is the same cohort, not an independent replication.

  2. usesdoi:10.18112/openneuro.ds004703.v1.1.0

    The study used SEEG signal ranges, event and channel metadata, and speech waveforms from OpenNeuro ds004703 version 1.1.0; the dataset's recorded terms and limitations are described in the scientific text.

  3. doi:10.1016/j.neuroimage.2024.120675

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