A fixed line and five sine terms increased gamma power restart error in 35 SEEG records with a complete 100 ms past buffer

We tested a filter state model that uses past voltage on public OpenNeuro ds006519 v1.0.0. The test used 35 SEEG records from 21 patients. All voltage samples were available. The model fit a line and five fixed sine terms to a 100 ms past buffer. The primary sine penalty was 0.01 times the buffer sample count. After replay, mean patient gamma power error was 20.92% of prior power. A state set from the first past sample gave 6.87%. The paired increase was 14.05 percentage points. The descriptive 95% person bootstrap interval was 11.12 to 17.65 points. All 21 patients had higher error with the model. Beta power error also increased. The other fixed penalties and the prestim check did not reverse the group result. The package contains exact voltage buffers, reference states, all scores, figures, code, and source hashes. This is a software restart test on a reused clinical sample. It does not test missing signal or live BCI control.

SEEG · signal processing · filter state · software restart · gamma power · brain-computer interface

Admitted 2026-11-09 19:57 UTC1 citing publication

References

supersedesA fixed line and five sine terms increased gamma power restart error in 35 SEEG records with a complete 100 ms past buffer sci:sha256:1c2da9715b188509e3fe4aac27bdf8d3d71e74c1fa5ee305a77c9a30ab61b239
This version corrects the file hash helper. It checks archived paths and permits local additions from sci retrieval or software installation. The source inputs, numerical analysis, and scientific results are the same.
usesA state set from the buffer mean reduced gamma power restart error after 100 ms replay in 35 SEEG records with complete input sci:sha256:56edd93a57b7545f1c309b77cfb893720954ff84b29cf78376c3906722776fdc
This work supplied the source manifest, metadata, S3 version pins, retrieval code, header parser, reference power code, and restart benchmark. We tested a new fixed line and sine state against its first past sample method. Shared benchmark values were checked against its archived table. The clinical sample is reused.
usesdoi:10.18112/openneuro.ds006519.v1.0.0
The analysis uses the 35 records from OpenNeuro ds006519 version 1.0.0; the saved dataset metadata record identifies this exact version and its CC0 license.

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usesBounds from known filter states gave longer beta than gamma reset delays in 35 SEEG records
This publication supplied the source manifest, 320 metadata files, pinned S3 object versions, and inspected source loader and retrieval code. We downloaded all 35 voltage files again and checked their hashes. We used these source files to reconstruct filter states and baseline powers.