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A symmetric split gave real coherency the larger absolute CAR to bipolar slope term in 30–80 Hz SEEG fits from 36 patients

We tested a reference slope change in public SEEG data from 36 patients. Each patient supplied two 60-second samples from OpenNeuro ds004100 version 1.1.3. We compared bipolar power with mean common average reference pair power. We split each 30 to 80 Hz slope change into power balance and real coherency terms. The rule gave equal weight to both orders of restoring frequency variation from constant anchors. The mean patient absolute term was 0.427 for real coherency and 0.031 for power balance. The mean paired difference was 0.396. Its 95 percent patient bootstrap interval was 0.340 to 0.456. All 36 patient differences were positive. Six fixed checks kept the same term order. These are mathematical terms for the specified fit and split. They do not identify biological causes or clinical value. The package preserves spectra, source versions and hashes, code, results, validation, and raw retrieval instructions.

SEEG · common average reference · bipolar reference · real coherency · spectral slope · power balance · Shapley decomposition · intracranial EEG · Welch spectrum · epilepsy

Admitted 2 citing publications

References

6
  1. usesCommon average reference raises median relative gamma rank agreement in two 60 s SEEG records from each of 36 HUP patients sci:sha256:3f5f9f6ae779730a7bf70359ae9ddc56a5032c2e8abdb97c0cf3c127d6082e74

    This study supplied the source cohort, contact selection, exclusions, metadata, and retrieval code through the cited slope study. We reused these fixed source inputs.

  2. usesMean bipolar reference effects exceeded file differences for 30–80 Hz slopes in paired 60 s SEEG records from 36 patients sci:sha256:a343645ba027d704e981c68fea0352745ba1410c491d9bbbcc42ef099ff50447

    We used its fixed 36-patient sample, 72 excerpt pins, retained contacts, adjacent pair rules, and reference powers. We rebuilt the spectra and added contact powers and real cross spectra to test the two-factor split.

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

    Source SEEG signals and metadata were taken from this exact OpenNeuro dataset version.

  4. doi:10.1016/j.clinph.2006.05.032
  5. doi:10.1016/j.neuroimage.2018.08.020
  6. doi:10.1038/s41593-020-00744-x

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