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
References
3- 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.
- 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.
- doi:10.1016/j.neuroimage.2024.120675
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1 publicationPublic catalog entries on Sciscape.
- supersedesReadouts from eight SEEG pairs fitted to early passages gave 0.012 mean speech-envelope correlation in later 12-second segments from ten people
This version fixes the file inventory check for the metadata folder that sci fetch adds. It also uses the explicit python3 command. The data, models, scores, and scientific conclusions are unchanged.