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Trial self-product correction reduced mean calibrated beta interaction scores at keypress by 95 percent in eight SEEG patients

We tested beta interaction scores near a keypress after removal of products from the same trial. The source was OpenNeuro ds004473 v1.0.2, with eight patients and 64 selected trials per patient. The main analysis used 32 calibration trials and 32 separate evaluation trials. It tested 1,281 path pairs across nine beta frequency bins. Correction reduced the mean keypress score from 0.0140912 to 0.000663175, or 95.3 percent. It changed 67 of 130 places in the patient top response edge lists. The corrected response minus baseline mean was 0.000441879. The patient bootstrap 95 percent interval was -0.000138088 to 0.00119779. The exact patient sign-flip p-value was 0.296875 under joint sign symmetry. All planned sensitivity intervals also included zero. The estimator needs independent common-mean trials and independent calibration for its unbiased interpretation. The data selection does not establish these assumptions. The score correction is an exact data identity, not a measured fraction of artifact. Simulations test known targets and show failure with serial trial dependence. Scores agreed across two real bases of the fixed contact path spaces. The package includes code, Fourier inputs, full scores, a proof, figures, source locks, and rebuild instructions. A fresh range rebuild exactly matched all 1,134,720 complex Fourier coefficients. An offline repeat and file hash checks passed.

SEEG · intracranial EEG · beta interaction · trial self-products · cross-moment · variance correction · U-statistic · signal processing

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References

4
  1. usesA contact metric preserved regularized beta interaction scores across two bases of fixed SEEG path spaces in eight patients sci:sha256:cfda06efe2a24857f62c28879b98a9460fdec391248831973b3cf1d5fb7c268e

    This work supplied the fixed SEEG Fourier inputs, contact paths, metadata, source locks, EDF fixtures, and retrieval code. We rebuilt the inputs from fresh public EDF ranges. We then used separate scale calibration and removed trial self-products. These new scores have a different scale target from the upstream scores.

  2. usesPulse variance correction replaced 6.3 percent of top 20 percent energy edges on average in SEEG data from five patients with ten pulses per site sci:sha256:75b19167bdae16ace8a8621fecdd802af3b0781ed537739df5447ceed09f94b1

    We used this result as related work on trial variance correction in SEEG. It studied pulse response energy in another dataset. We did not use its data or code.

  3. usesdoi:10.18112/openneuro.ds004473.v1.0.2

    Source dataset used for the SEEG recordings and metadata.

  4. doi:10.1088/1741-2552%2Facae0a

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