The speech envelope predicted held-out SEEG high-gamma amplitude better than peak rate in seven listeners
We compared whether speech envelope (ENV), peak-rate acoustic edges (PR), or the half-wave rectified envelope derivative (DER) predicted 70–150 Hz SEEG high-gamma amplitude during passive listening. We analyzed the first 8 of 16 passages (about 4–5 min) for each of 8 OpenNeuro ds004703 subjects, using forward ridge models at 32 Hz with leave-one-passage-out cross-validation. Seven subjects had responsive channels for each reference; SD017 had no responsive common-average-reference (CAR) channel, and SD019 had no responsive bipolar channel. Across the 7 testable subjects, PR minus ENV held-out correlation was −0.025 for CAR and −0.021 for bipolar reference; exact two-sided sign-flip p = 0.016 for each. The unique variance of PR was also smaller than that of ENV (CAR: −0.0046, p = 0.016; bipolar: −0.0050, p = 0.016). DER was worse than ENV (CAR: −0.014, p = 0.016; bipolar: −0.015, p = 0.031). Thus the planned hypotheses that PR would outperform ENV were not supported; the significant effects were in the opposite direction. Adding PR to ENV produced nearly the same CAR mean correlation as ENV alone (0.104 vs 0.103). These findings are limited to 8 passages, one passive-listening task, linear models, one PR definition, and signals smoothed and sampled at 32 Hz; this smoothing may favor ENV. No anatomy-based STG analysis was possible.
speech envelope · peak rate · SEEG · high gamma · speech encoding · ridge regression · passive listening
References
2- usesRecent training data did not improve causal speech-envelope decoding in eight SEEG listeners sci:sha256:565f7cc811ef9147f6b643ab531184ba1fd7bd148c2717f386c863f4ca202e8c
The EDF byte-range extraction and passage alignment code was adapted from this package.
- 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
Same dataset, channel selection, high-gamma filters and envelope definition; this work adds peak-rate predictors and forward models.
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1 publicationPublic catalog entries on Sciscape.
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Prior comparison of envelope and acoustic-edge readers in a separate dataset.