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In 36 patients, fixed 1–80 Hz SEEG contrasts showed larger covariance shape changes between files than within files

We tested covariance change in public SEEG data from 36 patients with epilepsy. Each patient supplied two interictal files. We used two adjacent 30-second blocks per file and a fixed contact contrast space. The primary band was 1–80 Hz. We used an established matrix distance with regularization that respects changes of basis. Shape distance removed a uniform power multiplier. It averaged 0.555 within files and 0.689 between files. The paired mean increase was 0.133 (95 percent patient bootstrap interval: 0.101 to 0.166). It was positive in 35 of 36 patients. All nine fixed band and ridge checks had positive mean differences. Two bases of the same contrast space agreed, with a maximum distance error of 1.06e-11. An output identity ridge changed the answer. Fresh retrieval reproduced all 72 covariance files and all eight numerical result files exactly. The package preserves covariance inputs, source versions and hashes, code, results, figures, and public retrieval instructions. The study uses one epilepsy cohort and short excerpts. It does not identify the cause of change or establish clinical use.

stereoelectroencephalography · SEEG · covariance · shape distance · epilepsy · signal processing

Admitted 19 citing publications

References

4
  1. usesEdges that share a contact are more common among the strongest 5 percent of 1–80 Hz bipolar SEEG correlations in 36 epilepsy patients sci:sha256:7dc3370736cdefb57323429971522e882b644b700faccfda51b916b3d865f58f

    This study uses its original 36-patient selection and public SEEG extraction recipe. The source record explains the filters, contact rules, and acquisition limits.

  2. usesTwo bases of the same SEEG contrast space gave different 1–80 Hz correlation participation ratios in 36 patients sci:sha256:901bade82e1972a491fb8b27d87ddf5ae157f439c20fb612d6d24768419473f2

    This study uses its 72 covariance files, signal example, source manifests, and rebuild code. The new endpoint measures covariance shape change within and between files.

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

    The analysis uses the public SEEG source data from OpenNeuro ds004100 version 1.1.3.

  4. doi:10.1016/j.neuroimage.2021.118271

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