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Frequency clipping changed beta edge selection for debiased squared weighted phase lag index in two 60-second SEEG samples from each of 36 patients with epilepsy

We tested the handling of negative phase lag estimates in public SEEG samples from 36 patients with epilepsy. Each patient supplied two samples of 60 seconds. Setting negative frequency estimates to zero before beta band averaging replaced 13.84 percent of the strongest 5 percent of edges. The 95 percent patient bootstrap interval was 11.55 to 16.21 percent. Clipping after band averaging replaced no selected edges. A proof under independent symmetric signs and fixed window magnitudes showed a positive clipping baseline with zero population phase lag. Controls from two raw samples had positive signed scores. Clipping increased them further. The package preserves all edge scores, code, source hashes, control results, two compressed raw examples, and reproduction steps. The result concerns these short samples and this processing choice. Clinical validity remains untested.

SEEG · weighted phase lag index · frequency clipping · beta band · phase synchrony · epilepsy

Admitted 4 citing publications

References

3
  1. usesAbsolute imaginary beta coherency reduced shared contact selection and rank agreement in two 60-second SEEG samples from each of 36 patients with epilepsy sci:sha256:52635e8dcf44f9d3264eb65d9b09508174664bc9f64a4132596eb6a063faf20e

    Raw range recipes, fixed metadata, contact selection rules, and two raw examples came from this publication. Its coherency arrays enabled an exact audit of all 72 inputs.

  2. usesdoi:10.18112/openneuro.ds004100.v1.1.3

    This exact OpenNeuro dataset release supplied the fixed source ranges analyzed in this study.

  3. supportsdoi:10.1016/j.neuroimage.2011.01.055

    Equation 31 supplies the debiased squared estimator used here; the cited paper notes remaining sample size bias.

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