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q-bio.NC · Neurons and Cognition

A template rank check increased the pulse–background acceptance gap by 17.66 percentage points over distance scoring in eight SEEG sessions with five early pulses at 4–30 Hz and 100–500 ms

We tested a SEEG response check for an interface that applies electrical stimulation and reads the response. The public source was OpenNeuro ds004696 v1.0.1, with eight people with epilepsy. We used all 86 retained sites and 886 site/readout instances. Each check used five early pulses and five later queries. The main features were complex Fourier coefficients at 4–30 Hz and 100–500 ms. Matched before-pulse voltage was a proxy for an absent response. The template rank check increased pulse acceptance minus background acceptance by 17.66 percentage points over distance scoring. Its descriptive 95% person bootstrap interval was 13.04 to 23.11 points. The change was positive in all eight people. The template check did not show a clear gain over a low-energy check. Background acceptance remained 65.35%. Unit-length template and distance checks made identical decisions. The package preserves CC0 inputs, source recipes, all decisions, three figures, and independent checks; GPL scripts are omitted and the exact extraction implementation is unavailable publicly. This reused cohort does not establish live fault detection or neural cause.

SEEG · electrical stimulation · response monitoring · template score · rank check · background acceptance · Fourier features

Admitted 2 citing publications

References

7
  1. usesThree-nearest response scoring increased the site acceptance gap by 1.43 percentage points in an eight-patient SEEG test sci:sha256:b2e2d11ca128f6e882eb4b6c0e2a6453ac89b386e3c362811684e0411c95bf1f

    We reused all 32 numerical input files and 44 metadata files. They provide five early and five later pulse features for all 886 site/readout instances. We used the source recipe and reconstruction code to check one fresh complete public voltage derivative.

  2. usesA joint score for 20 to 100 ms SEEG responses reduced mean before-pulse acceptance and increased mean wrong-site acceptance in five offline sessions sci:sha256:b1806c0a0861c9bfff0229834a0243e0e64a947a79b8ac4a5aedc81cb0e7384e

    Its result on background and wrong-site alternatives informed the decision to limit the present claim to matched background windows. We do not infer site identity or all-fault detection from the background acceptance gap.

  3. usesFive-pulse signed templates did not show a clear AUC gain over energy on energy-selected pairs in eight epilepsy SEEG sessions sci:sha256:1406cee5468018906da44ece44823d82527f4a950f45c030e4c2416839f1b976

    Its signed-template versus energy comparison in the same cohort informed our fixed low-energy comparator. We changed the question to symmetric rank acceptance at all readouts with delayed low-frequency features. We did not reuse its selected-pair AUC as evidence for our new endpoint.

  4. usesPaired after-to-before SEEG variance ratios were 1.51 times as large at 4–30 Hz as at 70–110 Hz in eight epilepsy patients sci:sha256:f8e2e43e31aa8c3dc30e483a7b3326a27352569537f8abef6009a2ecd5c5546a

    Its pulse-map and voltage extraction method underlies the inherited data and the adapted source reconstruction code. The fresh person 05 check reproduced all archived coefficient arrays and the pulse map from a hash-pinned public derivative.

  5. usesdoi:10.18112/openneuro.ds004696.v1.0.1

    The analysis uses the public ds004696 version 1.0.1 source cohort and its derived SEEG inputs.

  6. doi:10.1523/JNEUROSCI.2201-22.2023
  7. doi:10.1371/journal.pcbi.1011105

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