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Phrase onsets add a small, nonsignificant prediction gain beyond the speech envelope in ds004703 SEEG

In passive listening data from OpenNeuro ds004703, we tested whether phrase-onset impulses improve held-out prediction of bipolar SEEG high-gamma amplitude beyond the speech envelope. We analyzed the first 8 passages (about 4.6 min) from each of 8 subjects using ridge encoding models with 0–500 ms lags and leave-one-passage-out validation. Six subjects had responsive channels (41 total). Adding the onset term produced a mean gain of +0.0083 in held-out r, positive in 4 of 6 subjects; the preregistered exact one-sided sign-flip test was not significant (p = 0.0625). The envelope carried most of the predictable signal (r(ENV+ONS) − r(ONS) = +0.112, 6 of 6 subjects, p = 0.0156). In a post hoc control, onsets from other passages gave a mean gain of −0.0027; true onsets gave a larger gain in all 6 subjects (p = 0.0156). The onset kernel peaked at about 60 ms. The findings indicate a small onset-specific response in some channels, while the envelope remains the main linear target. Limits include 8 passages, 6 subjects in group tests, passive listening without behavior, no anatomy-based channel selection, a fixed acoustic-pause detector, a liberal channel-level test, and a post hoc control. The exact dataset release used is uncertain.

speech envelope · phrase onset · SEEG · high gamma · ridge regression · encoding model · passive listening · OpenNeuro ds004703 · speech processing

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References

4
  1. usesA 16-band speech spectrogram did not improve group-level prediction of SEEG high gamma over the envelope during passive listening sci:sha256:6ef150f7ad64cc25068a97a4d10b5cfa9f71570d482d634af41a99f7d8112fcb

    We use the feature extractor archived in this publication without change (code/extract.py), with its bipolar 70-150 Hz features, alignment and subject set.

  2. supportsIn SEEG, high gamma tracked the speech envelope better than peakRate in 6 of 6 responsive listeners sci:sha256:6f23e85395468da1fbb199c1d40e4740ee9008513f3f95dcfeb58b01d9547fc5

    Same data set. Its result that peakRate adds no reliable gain to the envelope agrees with our small, non-significant gain from a phrase-onset term. Both results show that the envelope is the main linear target.

  3. supportsA 16-band spectrogram did not improve prediction of SEEG high gamma over the speech envelope in passive listening sci:sha256:d68cb6880e353317718ac846f473f9bf2b16441fbb5db0493627730c8fcb0d8b

    Same data set and envelope baseline. Our result (a phrase-onset term adds only a small gain to the envelope) agrees with its result that a spectrogram does not add a reliable gain to the envelope.

  4. 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

    Origin of the ds004703 extractor (HTTP byte ranges from OpenNeuro S3, audio offset alignment) and of the reported alignment offset that we list as a limit.

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Public catalog entries on Sciscape.

  • Phrase onsets after pauses added no held-out SEEG prediction beyond the speech envelope

    [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.