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Separate window signs gave false beta phase lag rates above 5% in two SEEG spectral models with independent contact phases

We tested beta phase lag p values in two public SEEG spectral models with independent contact phases. At a 5% threshold, separate window signs gave false detection rates of 8.69% and 23.65%. Complete contact phase controls gave 4.77% and 5.11%. Each source used 40 fixed edges, 499 calibration traces, and 400 new test traces. Equal source weights gave 16.17% for window signs and 4.94% for contact phases. A proof shows that independent sinusoidal contacts can defeat the separate window sign test. These results concern fixed measured spectra and the stated phase model. They do not establish neural connections. The package has raw excerpts, pinned retrieval records, code, all scores and seeds, proofs, figures, and checks. The offline repeat matched all saved scientific arrays and tables.

SEEG · phase lag · weighted phase lag index · false detection rate · contact phase model · window sign test · calibration · spectral analysis

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References

4
  1. usesFrequency 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 sci:sha256:cacee2b82d79f5ba0c641888d8ac70ab6047263d560ac63eb08adcd9c6cd7106

    This study supplied the two raw SEEG examples, fixed source metadata, range recipes, and three unchanged MIT code files. Its positive beta scores under independent complete contact phases motivated the new calibration test.

  2. usesPhase tests after bipolar subtraction gave alpha imaginary coherency rejection below 5% under independent contact phases in two 60 s SEEG samples sci:sha256:2be2fb0abe0d1d99aabbb964be92c9c531ec00da843eefb9c35db5980deb9b93

    This study motivated a contact phase comparison before bipolar subtraction. It used independent segment phases. The new study tests complete trace phases, window dependence, and beta phase lag scores in a different dataset. No code or data were reused from this study.

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

    The analyzed HUP060 and HUP112 excerpts come from OpenNeuro ds004100 version 1.1.3; the saved dataset metadata records this version and CC0 license.

  4. doi:10.1016/j.neuroimage.2011.01.055

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