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Mean independent contact share bounds were higher at 30–80 Hz than at 1–30 Hz in all 36 tested SEEG patients under an additive covariance model

We tested an additive covariance model with public interictal SEEG records from 36 patients. The model assigns variance to independent contact components and an uncorrelated residual. We calculated the maximum compatible share of adjacent bipolar variance for each contact path. The mean bound was 67.81% at 30–80 Hz and 41.15% at 1–30 Hz. The mean paired difference was 26.66 percentage points. Its descriptive 95% patient bootstrap interval was 24.72 to 28.60 points. The difference was positive in all 36 patients and in all five fixed checks. Fresh public downloads reproduced all 72 covariance files exactly. All 6,902 numerical certificates passed. Two full repeat analyses had zero numerical difference. The package preserves inputs, source recipes, code, results, and instructions. These bounds test compatibility under the stated model. They do not estimate the actual noise or neural share.

stereoelectroencephalography · SEEG · bipolar covariance · contact variance · semidefinite optimization · measurement model

Admitted 1 citing publication

References

3
  1. usesOne patient reversed the mean gain of a 0.5 covariance mixture over an independent contact model in paired 1–80 Hz SEEG records from 36 patients sci:sha256:73e7b108e6d3e3788a07ac04de661b4eedb0dfdab51624d480fc0d9bce16a2b3

    We use all 72 unchanged covariance records and the example voltage file. We also use its source retrieval code, contact path code, metadata, source pins, and licenses. New downloads reproduced all covariance inputs exactly.

  2. usesA nonnegative contact variance fit gave higher mean correlation error than zero correlation in paired 30–80 Hz SEEG records from 36 patients sci:sha256:fde6400fc0e890c9da048faf36831b2fac77ec739ccf9785e2490da5c35ca0d4

    Its paired test of an independent contact fit motivated this model check. We calculate a maximum compatible variance share under an additive covariance model. We do not repeat its correlation prediction test or use a new cohort.

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

    Source dataset for the 72 paired interictal SEEG records analyzed in this study; the publication reports the source version, pinned object versions, and matching covariance checks.

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