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A rolling 12-pair mean gave higher contrast prediction error than a fixed 12-pair mean at 3 to 15 ms in 14 of 20 early SEEG trains

We tested a past-only update for reading SEEG during electrical stimulation. We used 20 early train records from OpenNeuro ds005169 version 1.0.0. Both the fixed and rolling estimates used 12 completed pulse pairs. The next 12 pairs formed the test. The rolling mean gave a mean prediction gain of -0.58% at 3 to 15 ms, with a descriptive 95% person interval of -2.78 to +1.99%. Gain was positive in 6 of 20 people. Gain before stimulation was -3.75%. Their paired difference was 3.18 percentage points, with an interval of +0.89 to +5.80 points and an upper-tail pair-order probability of 0.0018. The positive paired difference came with losses in both conditions. It does not establish better correction during stimulation. Each update subtracts one contrast estimate from the first pulse and adds it to the second pulse. This keeps each pair mean at fixed detected edges. All 40 record and condition checks passed. All nine numerical files matched on replay. The package contains code, epochs, model estimates, source hashes, full scores, two figures, and retrieval steps. The test does not establish neural recovery, live edge detection, or brain interface benefit.

SEEG · electrical stimulation · pulse pairs · contrast prediction · rolling mean · signal processing · prediction error · brain-computer interface

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References

5
  1. 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 sci:sha256:267aaac0e6978135ad050c3c51f1d4af411cf65ec8ec2859d4084d03973c3559

    We used its unchanged compact SEEG epochs and fixed source manifest. These files supplied the same 20 records for the equal-history forecast test.

  2. usesClass difference subtraction kept 99.99% of added train rate signal energy through fit and test in 20 SEEG records with fixed edges sci:sha256:8571492326e72da0048c59c0d1454d4216504ae58ddcdcd5da3c4d952fd2e54f

    Its prior fixed-template common-signal result informed the preservation test. We extend the check to a mean that updates after each completed pair, with fixed edges and equal additions to both pulses.

  3. usesRepeatable pulse class differences exceeded baseline at 3 to 15 ms after detected edges in 17 of 20 SEEG recordings sci:sha256:879b5223cbf14d14e8e6ed3642b3968e076bf8d799c75c3c86fea26e328c4ab9

    We used its source extractor, channel selection, detected pulse edges, and matched baseline rule. We rebuilt all 200 compact arrays from the public source files.

  4. usesdoi:10.18112/openneuro.ds005169.v1.0.0

    The analyzed epochs were rebuilt from OpenNeuro ds005169 version 1.0.0; source URLs and hashes are preserved.

  5. doi:10.1002/hbm.25749

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