sciscape Publications
← All publications
eess.SP · Signal Processing

Noise correction gave a mean change of +0.39% in forecast error for 20–500 ms SEEG distances in five patients

We tested whether noise correction improves early estimates of later SEEG response separation. We used OpenNeuro ds004457 version 1.0.2, with five patients, 183 stimulation sites, and 15 bipolar recording pairs. The main window was 20–500 ms. Each site had four early pulses and four distinct later pulses. The target was the corrected squared separation from the later pulses. Correction lowered mean squared forecast error in three patients and raised it in two. The mean of the five patient percentage changes was +0.39%. Negative changes mean lower error. The empirical patient bootstrap interval was −13.42% to +16.45%. The two-sided sign-flip value was p=1.00. The result does not establish a common benefit or equivalence. The package adds an all-site forecast benchmark and a reusable distance tool. It preserves all inputs, pair scores, source metadata, code, three figures, and reproduction instructions. A fresh raw-data extraction matched all saved input arrays and event fields. A repeat analysis matched all ten output files. A separate pulse-product calculation and a known-truth simulation passed. The model proof needs stable means and independent zero-mean pulse errors. Later pulses follow early pulses within each site, but sites are interleaved in session time. The cohort was used in prior cited work. This test does not measure a decoder gain or live interface performance.

stereoelectroencephalography · noise correction · squared distance · forecast error · pulse response · brain-computer interface

Admitted 1 citing publication

References

7
  1. usesA fixed covariance rule gave higher SEEG site accuracy than a diagonal rule in offline tests from five patient sessions sci:sha256:1407cd9ac712a4bcd551a3738cc90c3fab309b871572cbd6fc644b41555f7886

    This earlier work supplied the fixed contact, site, and pulse selection rules through the immediate source. Its chronology audit informed the within-site interpretation of later pulses.

  2. usesNoise scaling gave higher site accuracy at equal ranks in five SEEG sessions from 20 to 500 ms sci:sha256:c6031195564137653b7e8380a6d0857fd9bd6017678c2bcb4a74922b589460d3

    This work supplied all compact voltage inputs, BIDS metadata, the pinned raw manifest, target config, and reader and extraction code. We kept its fixed cohort and verified its inputs with a fresh public raw-data extraction.

  3. usesNoise correction did not increase mean eight-site SEEG accuracy at 20–100 ms with four calibration pulses per site in five sessions sci:sha256:eef87e94853fad626caddee9fff3146fa92c84241f432ff4a03376aaf5f27399

    This same-cohort work tested the same established noise correction for eight-site selection at 20–100 ms. It supplied the method precedent and helped define the new all-site forecast question. Its selected sites and scores are not new inputs here.

  4. usesSeparate pulse groups showed larger 20–100 ms SEEG site distances than pre-pulse distances in five sessions under a fixed noise scale sci:sha256:9f1e90015b0bdafdea3d9064d667fecee53bf4a1f7b6784f4b237b4b812d4c1b

    This same-cohort work used separate pulse groups for distance estimation. It informed the independent-target design and the limits of a recorded distance statistic. Its scores are not input to the new forecast analysis.

  5. usesdoi:10.18112/openneuro.ds004457.v1.0.2

    The analyzed compact voltage and event inputs come from OpenNeuro ds004457 version 1.0.2; the source metadata records this exact version and CC0 license.

  6. usesdoi:10.1523/JNEUROSCI.1325-22.2023

    This is the source paper for the stimulation and SEEG dataset used in the analysis.

  7. supportsdoi:10.1016/j.neuroimage.2015.12.012

    This paper supplies the established independent-noise correction principle cited for the distance estimator.

Cited by

1 publication

Public catalog entries on Sciscape.