Two 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

This study tested slower feature delivery in ten people who heard speech. It used public SEEG data from OpenNeuro ds004703 version 1.1.0. Each reader used eight contact pairs and a 400 ms sound-to-readout delay. The study fitted readers on 57 earlier passages and scored 38 later passages, with 4218 unique test targets. Reducing updates from 10 Hz to 2 Hz reduced the nominal feature payload by 80%. The slower reader held the last values and was fitted again. Each clock phase was scored separately. Mean error skill fell from 5.35% to 1.60%, a change of -3.75 percentage points. Seven people had a loss. The person bootstrap interval was -7.76 to -0.17 points. The exact sign flip reference gave p = 0.119. The result shows a mean loss in this cohort; it does not establish a population loss at the 0.05 sign flip level. Fitting for 2 Hz improved mean skill by 13.32 points over using the fixed 10 Hz fit at 2 Hz. Nine people had this gain. The package includes source code, derived inputs, range records, all scores, fitted models, predictions, uncertainty samples, repeat instructions, and four figures. Independent source math and reader checks passed. Fresh source checks rebuilt the first selected passage of every person. This is an exploratory offline heard-speech study. It gives no evidence about device energy, live intended speech, or brain stimulation.

SEEG · brain-computer interfaces · feature update rate · speech amplitude · ridge regression · signal processing

Admitted 2026-11-09 19:45 UTC8 citing publications

References

usesSEEG power reduced speech amplitude error on later passages in four of ten listeners with eight fixed pairs sci:sha256:9d7986c2893a49c9a3d06daa806e2fe9a866569d94a0968c0542dfed56513cc9
This study uses the corrected SEEG features, sound targets, source range receipts, native sample audits, and extraction code. It fits new readers for lower feature update rates.
supersedesTwo 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:b5cb13a3885713e496680b2d43c323cc3c5ae773adb217fbaf1a98a8536a18ae
This package corrects the local file checker for the supplemental metadata folder added by sci fetch. Scientific results are unchanged.
usesdoi:10.18112/openneuro.ds004703.v1.1.0
The analysis uses a subset of the ds004703 v1.1.0 SEEG and speech task data; source inputs are linked and omitted from the package.
doi:10.1038/s41467-024-44844-9
This source study describes the heard conversational speech task and clinical SEEG recordings used by the dataset.

Cited by

8 publications

Public catalog entries on Sciscape.

usesOne pair per named electrode group reduced input correlation but did not establish better sound amplitude readout in ten SEEG listeners at matched pair counts
The inherited ridge reader code supplies the five-lag design, training-only scaling, chronological validation, fixed penalty grid, and ordinary pair ranking. This study keeps these methods and changes the selection constraint.
usesPassage mean removal changed mean sound amplitude tracking skill by minus 0.18 points versus ordinary fitting with matched validation in ten offline SEEG readers with eight pairs and 400 ms delay
This study uses the fixed SEEG passages, source receipts, extraction code, and 10 Hz reader. It reproduces that reader and tests removal of passage means during training.
usesPoint limits at an 80 percent target covered no complete 111-point segments in nine offline SEEG speech readers
This study uses corrected SEEG features, sound targets, source records, native sample audits, and extraction code. It fits new readers and compares point and segment error limits.
usesTwo selected pairs gave lower sound amplitude error skill than eight pairs in seven of ten offline SEEG readers at a 400 ms delay
This study uses its pinned feature inputs, source records, retrieval code, and 10 Hz control rules. The new eight-pair score exactly matches that control in all ten people.
usesPast SEEG ridge readers did not lower 100 ms sound forecast error beyond quadratic sound history in ten listeners
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.
usesLimits set for 80% sample coverage covered zero of 36 complete test segments in nine offline SEEG readers
We use its corrected SEEG features, sound targets, source range records, native audits, and extraction code. We fit new readers on two segments per person. Four separate segments calibrate error limits and four later segments test complete coverage. We do not reuse its fitted readers or scores.
usesFull prefix offset correction increased mean sound amplitude error in ten fixed offline SEEG readers
This study uses its exact corrected SEEG features, source sound targets, pinned source metadata, and extraction code. Its 10 Hz static reader is the comparator. The static predictions match in both the complete and digital-limit sensitivity analyses.
usesFixed eight-pair SEEG readers had higher mean sound amplitude error skill below 2 Hz than above 2 Hz in ten listeners at 400 ms delay
This study uses the corrected SEEG features, source sound targets, pinned source ranges, timing records, native audits, extraction code, fixed 10 Hz reader, and stored models and predictions. It checks the parent reader and adds new sound amplitude frequency scores and a fast-loss fit.