A linear pulse trend did not establish higher test SEEG voltage reduction at 3 to 15 ms in 18 records with 16 fit pulses
We tested whether a linear trend across calibration pulses improves subtraction of an alternating SEEG voltage template. We used one selected target record from each of 18 people in OpenNeuro ds005169 version 1.0.0. Each local fit used 16 pulses. Each test used the next 32 pulses and offline detected edges. At 3 to 15 ms, the trend fit increased mean reduction by 0.0797 percentage points relative to a balanced fit. The 95 percent person bootstrap interval was -0.0626 to 0.2578 points; the exact sign-flip reference was 0.4167. The test did not establish higher mean reduction. Both fits slightly increased mean late-window voltage variation. Under a fixed additive waveform model with independent pulse errors of equal covariance, trend rejection removes linear drift bias and increases template noise variance by 1.19 percent for 16 equal pulse intervals. We checked the proof identities and all 504 scores with independent least-squares fits. All 18 complete source files matched pinned hashes, and all rebuilt arrays matched the archived inputs. The package preserves compact data, fitted templates, result tables, three figures, source metadata, code, and reproduction instructions. This result measures voltage variation. It does not establish neural recovery or better decoder performance.
stereoelectroencephalography · SEEG · electrical stimulation · pulse template · signal processing · voltage variation · linear trend · template subtraction
References
4- usesAlternating templates fitted to 16 pulses reduced SEEG variation at −1 to 2 ms but did not establish a mean reduction at 3 to 15 ms in 20 recordings sci:sha256:73d0d13dcaaf20c4458cadb4703df25525ae115101aa7d7ded22ca14823e54d6
Its balanced alternating-template method, 16-pulse calibration, 32-pulse test, and two pulse-relative score windows inform this test. We test a different calibration estimator on the second selected records. This is not an independent cohort replication.
- usesTransferred SEEG templates did not establish better early mean voltage reduction than fits from two local pulses in 18 contact pairs sci:sha256:fbbdf0fbd6178fd9d6621f6a3fc0303958a465928175d48c50ae1903b4b44e1b
We used its fixed 18-person target-record selection, compact epochs, common good channels, pinned source manifest, and extraction code. We downloaded all target raw files and checked every rebuilt array. We add a local linear pulse-trend fit and a fixed comparison with balanced local fitting. The people and test voltage have prior public use.
- usesdoi:10.18112/openneuro.ds005169.v1.0.0
This exact OpenNeuro version supplied the SEEG files analyzed here.
- doi:10.1002/hbm.25749
Cited by
1 publicationPublic catalog entries on Sciscape.
- usesOne early voltage scalar increased prediction error by a mean of 0.31% at 3–15 ms in 20 SEEG trains after 24 fit pulses
Its pulse-trend analysis helped motivate the linear trend comparator. The present comparator uses first trains, 24 fit pulses, and the next 24 test pulses. No code or result arrays were used.