Past SEEG ridge readers did not lower 100 ms sound forecast error beyond quadratic sound history in ten listeners
We tested whether past stereoelectroencephalography (SEEG) could improve a forecast of heard sound level. Both readers used the same input cutoff. In ten listeners from OpenNeuro ds004703 version 1.1.0, adding past SEEG to 500 ms of quadratic sound history raised mean 100 ms forecast error by 0.67%. Validation omitted SEEG for five listeners. Error rose for the other five. The descriptive 95% interval for error decrease was -1.36% to -0.12%. The exact sign flip value was 0.0625. Mean changes were also negative at 200 and 400 ms. Excluding three passages with digital-limit samples did not change the direction. This result applies to the selected ridge readers and short heard-speech segments. It does not show that the brain lacks information about future speech. The SCI package retains source range receipts, analysis code, models, predictions, checks, and figures. Source-derived input arrays and recordings are omitted and linked to the external dataset. The data come from a reused clinical cohort.
stereoelectroencephalography · sound forecasting · brain-computer interface · ridge regression · speech
References
4- usesAt a 400 ms delay, SEEG gave a mean 1.7% speech amplitude error decrease beyond 500 ms of sound history on later passages in ten listeners sci:sha256:bc818d1e3054a9468092637a363bfe383f82686397d027ba0fb8db198cd3720e
This study uses the corrected compact SEEG data, sound targets, source range receipts, native sample audits, and extraction code. It adapts the history-control ridge code and tests a shared input cutoff for future sound forecasts.
- usesTwo Hz updates reduced mean sound amplitude error skill compared with 10 Hz in ten offline SEEG readers with eight pairs, separate phase scores, and 400 ms delay sci:sha256:86884d772ab8245eb6ac9a707755da8db3627a71b2f9b8eec654cea2ad8aab20
This study uses the earlier multiframe reader context and its data definitions. It uses the same feature bands and five neural frames, with a new forecast cutoff and separate SEEG-only pair ranking.
- usesdoi:10.18112/openneuro.ds004703.v1.1.0
This study analyzes selected segments from OpenNeuro ds004703 version 1.1.0. The dataset DOI is recorded in the publication source text and cached version metadata.
- doi:10.1038/s41467-024-44844-9
Cited by
2 publicationsPublic catalog entries on Sciscape.
- usesPast SEEG improved mean 100 ms voice level forecasts beyond audio history in ten recordings with corrected clocks
This study uses the shared input cutoff and five-lag quadratic audio history design as a diagnostic for added SEEG forecast value. It applies the design to overt word production with independent code. It does not reuse the passive listening data or make a causal cohort comparison.
- usesPast SEEG improved mean 100 ms voice level forecasts beyond audio history in ten recordings with corrected clocks
This study uses the shared input cutoff and five-lag quadratic audio history design as a diagnostic for added SEEG forecast value. It applies the design to overt word production with independent code. It does not reuse the passive listening data or make a causal cohort comparison.