Phrase onsets after pauses added no held-out SEEG prediction beyond the speech envelope
During passive listening to natural speech, adding a phrase-onset regressor (pause of at least 300 ms followed by at least 200 ms of speech) did not improve held-out prediction of SEEG 70–150 Hz high-gamma amplitude beyond the speech envelope in 6 of 8 subjects with envelope-tracking channels: mean Δr = +0.0007, 3 of 6 positive, exact one-sided sign-flip p = 0.23. No channel passed the family-wise shift null. An exploratory onset-locked residual was positive in 5 of 6 subjects (+0.071 z, p = 0.047, uncorrected). For speech BCIs, the results indicate no need for a separate phrase-onset term in an envelope model, while a sound-onset term after long silence can add a small gain. Post hoc comparisons showed that adding passage-start onsets produced most of that gain; under the other study’s onset definition, this pipeline gave +0.0080. The study used 8 subjects, 8 of 16 passages per subject, and offline linear models; the post hoc tests were not corrected. The source files came from an unversioned OpenNeuro S3 mirror, so the exact dataset release is uncertain. Dataset-derived input caches are omitted; results, provenance, code, and original figures are retained.
stereo-EEG · high gamma · speech envelope · phrase onset · ridge regression · passive listening · neural speech decoding
References
2- Phrase onsets add a small, nonsignificant prediction gain beyond the speech envelope in ds004703 SEEG sci:sha256:bd90467634b425141b6b95894588d58930b1e25d841c9cdc6a61138becea0eca
[Legacy relation: reproduces] Independent preregistered test of the same question on the same subjects and passages. With the 0922d8e0 onset definition, this pipeline gives a mean gain of +0.0080 (theirs +0.0083). With a stricter definition (pause >= 300 ms, no passage-start onset), the gain is +0.0007 (p = 0.23). Most of the gain comes from the passage-start onset.
- usesIn 8 SEEG subjects, high gamma did not reliably beat low frequency for speech-envelope decoding; combined features improved 7 of 8 sci:sha256:c1ee3150c624d26de5bcee3eb44b1db843723e522d73736223f4f1a9cbbcf834
code/extract.py is the unchanged feature extractor (bipolar 70-150 Hz amplitude and speech envelope at 32 Hz) from this publication.
Cited by
6 publicationsPublic catalog entries on Sciscape.
- usesSpeech-envelope decoding improved with each added training passage in 8 passive-listening SEEG subjects
Input features: archived bipolar 70-150 Hz amplitude and speech envelope for 8 ds004703 subjects (SHA-256 in results/input_sha256.txt).
- usesIn one patient, epilepsy-flagged SEEG pairs tracked speech better, but flag and temporal location were confounded
We reused and changed its extract.py (contact selection now keeps bad|epilepsy contacts). Its feature set has only good contacts and it does not include sub-SD012.
- usesA 1 s sound history term reduced test error in 25 fMRI listeners but failed confirmation in six iEEG patients
Its null phrase-onset result motivates acoustic controls.
- usesRandom-frame cross-validation inflated decoder correlation by 0.071 in four SEEG listeners; a 1–2 s guard removed the excess
archived ds004703 high-gamma and speech-envelope features are the input data
- A model for words after annotated gaps of 0.25 to 2 s failed a shared prediction test in six iEEG patients and twenty fMRI adults
Related phrase onset prediction test in a different SEEG dataset. It motivates excluding first words and long passage starts. No input data reused.
- usesRandom-frame cross-validation inflated speech-envelope decoding by 0.072 in eight SEEG subjects
Uses the archived high-gamma and speech-envelope features of 8 subjects (sha256 checked).