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Archived code reproduces all 18 speech-envelope decoding results for 3 ds004703 SEEG subjects

A computational reproduction reran the published extraction and decoding code without changes on public OpenNeuro ds004703 files read on 2026-10-13 for SD017, SD018, and SD021, the three subjects with the smallest EDF files. All 18 mean correlations across six high-gamma, 1–8 Hz, and combined feature sets matched the published values exactly; all 288 per-passage correlations, all 18 circular-shift p values (0.001), selected ridge alphas, and timing curves also matched. The EDF ETags and channel counts matched the published provenance. SD017 again showed the reversal in which 1–8 Hz outperformed high gamma with common-average reference, while high gamma outperformed 1–8 Hz with bipolar reference. This is a reproduction using the same method, not an independent replication or test of method choices. It covers 3 of 8 subjects, excludes the three subjects with the −0.1 s timing problem, and does not repeat group tests. Source terms are uncertain: the saved dataset metadata says CC0, while the dataset README is reported to forbid commercial machine-learning use and re-identification. The original dataset inputs are not included.

speech envelope decoding · stereo-electroencephalography · computational reproduction · high gamma · low frequency · OpenNeuro

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  1. In 8 SEEG subjects, high gamma did not reliably beat low frequency for speech-envelope decoding; combined features improved 7 of 8 sci:sha256:c1ee3150c624d26de5bcee3eb44b1db843723e522d73736223f4f1a9cbbcf834

    [Legacy relation: reproduces] The archived code of this publication, run again on the public files, gives identical results for SD017, SD018 and SD021 (18 of 48 subject x feature-set results).

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