A background model lowered mean voltage error with an early reference and increased mean shape error at 20 to 100 ms after five fit pulses at 86 sites in eight HAPwave SEEG sessions

We tested whether a model fit only before stimulation improves a later voltage forecast. We used public HAPwave SEEG from OpenNeuro ds004696 version 1.0.1. The test had eight people, 86 fixed remote readouts, and 612 later pulses. Five early pulses at each site fit a background model and a response template. The target was eight voltage bins from 20 to 100 ms, with an early voltage reference. Mean site error change was -32.17 percent, with a descriptive 95 percent person interval of -50.80 to -12.13 percent. A fixed mean-voltage correction gave -30.00 percent change. After removal of constant voltage level, the model gave +3.81 percent shape error change. The shape interval was -2.69 to +9.71 percent. Most of the full-voltage reduction also occurred with the input mean alone. A matched target before the pulse gave -37.34 percent change. The results apply to this model, reference, and reused clinical sample. They do not establish a causal state effect or better intent reading. The package retains exact voltage windows, source hashes, forecasts, models, result tables, and four figures. GPL analysis and extraction scripts are omitted, so the exact replay implementation is unavailable publicly. The archived record reports that fresh full source hashes, independent numeric checks, and a full replay passed.

SEEG · electrical stimulation · voltage forecast · ridge regression · HAPwave · OpenNeuro · waveform shape · brain-computer interface

Admitted 2026-11-09 20:22 UTC4 citing publications

References

usesA four-mode background model had a mean 0.62% increase in 20 to 480 ms SEEG template error after contact order reversal in eight STReEF patients at ridge strength 0.1 sci:sha256:d8c63415faf1c42b5a7f2f497ab93ab9acea2dd70a677791d98f5a790e486cd3
Its background-to-response transfer test provides context for the matched before-pulse control and the dependence of results on model and target. This study uses a different source and fit.
usesBackground voltage prediction reduced mean centered SEEG error at 20–100 ms by 3.89 percent compared with four-pulse templates at 94 later sites in five sessions sci:sha256:eafc98e2d7e10954c617a9c872856a509fd1f40b5c5dbb9641372fbd1915461d
Its background-only linear forecast and calibration-mean correction provide the related method. This study tests a site-specific five-trial fit in HAPwave with voltage-level and shape checks. No source code was copied from that study.
usesA fixed background power rule increased 20 to 500 ms SEEG size forecast error after five calibration pulses in eight sessions sci:sha256:b8e5ae61a5b00cfa06f9294e3694b2df810dda59e3ec09aa69ad2cbe63b674c4
Its failed fixed background-power forecast in the same HAPwave cohort provides the prior comparison. This test concerns signed near-pulse voltage and a shorter target, rather than that power rule.
usesRecorded pulse gaps from 2 to 8 seconds had no clear mean SEEG gain relation in eight sessions with site and order controls sci:sha256:77ca2cd94f79de36a61ae64814637757c4181c890e0e63769f25e428fe358ac5
This publication supplies the verified pulse order, fixed five-pulse readout choices, candidate edges, source metadata, and inherited downloader. Fresh source extraction checks all overlapping voltages.
usesdoi:10.18112/openneuro.ds004696.v1.0.1
The analyzed processed HAPwave SEEG files are from OpenNeuro ds004696 version 1.0.1.
doi:10.1523/JNEUROSCI.2201-22.2023
Source experiment for the HAPwave dataset.
doi:10.1371/journal.pcbi.1011105
The report credits the CRP method as background; CRP parameters were not used to fit the forecasts.

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4 publications

Public catalog entries on Sciscape.

usesPeaks from five SEEG pulses did not show a clear mean timing error decrease over a shared patient time at 20 to 100 ms in 83 cases from eight people
Used its inherited eligible remote limbic contact-pair tables, source metadata, and GPL source downloader through the voltage package. The current study chose one readout per site by contact labels and tested peak timing.
usesContact medians changed 20 to 500 ms bipolar SEEG templates under two voltage references at 83 sites in eight people
Used the pinned source manifest, source metadata, all eligible candidate pair tables, and GPL source download recipe. Selected new contacts by labels and extracted A, B, and C from complete verified sources.
usesA fixed model gave no clear 4–30 Hz power forecast gain from input ending 20 ms versus 500 ms before a pulse for targets at 100–500 ms after the pulse in eight SEEG sessions
This earlier voltage forecast supplies context for the no-pulse control and interpretation. The source people overlap. The current study tests later power targets and compares input ages across all fixed readouts.
usesA background map with ridge strength 1 increased 20 to 500 ms SEEG forecast error outside a five-pulse response span by 18.6% at 86 selected sites in eight people
This study uses the exact longer before-pulse voltage inputs, pinned source retrieval approach, and ridge fit conventions. It tests a longer centered target and an outside-span error score.