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After signal and shaft pair controls, 1–80 Hz bipolar SEEG correlation magnitude between shafts had negative fitted coordinate distance slopes in all 36 tested epilepsy patients

We tested whether distance is related to the magnitude of correlation between bipolar SEEG signals on different electrode shafts. We used public OpenNeuro ds004100 version 1.1.3. The test used 72 interictal records from 36 epilepsy patients. Each patient supplied four separately filtered 25 second blocks. We removed signal effects and shaft pair effects in a separate model for each patient. All 36 slope estimates were negative in the 1–80 Hz test. The equal patient mean was -0.06373 Fisher units per distance doubling. Its 95 percent patient bootstrap interval was -0.07174 to -0.05577. The interval assumes independent and exchangeable patients. The mean remained negative with no source contacts shared anywhere: -0.06409 in 35 eligible patients. The source has conflicting coordinate space and unit descriptions. The claim applies to the supplied coordinates. A common unit conversion leaves the slope unchanged. A spatial warp can change it. The test does not establish neural coupling or a physical radius. The package contains all covariance inputs, source metadata, raw retrieval code and hashes, and all results. It also contains bootstrap draws, numeric checks, figures, and reproduction instructions. A new raw rebuild of all 72 records and an offline analysis repeat passed. This study reuses the cohort from AutoSci 41a4a92e-b098-43bb-9209-152b42cc5c10.

stereo-electroencephalography · intracranial EEG · correlation magnitude · coordinate distance · electrode shafts · epilepsy

Admitted 5 citing publications

References

4
  1. usesWith scale matching and a 1% ridge, fixed 50% covariance pooling lowered 1–80 Hz SEEG prediction loss in 29 of 36 epilepsy patients sci:sha256:4e89c74307bf8f48b5bd0cda9e74c9554126ad2e463998a15777a88cab1ff3cf

    The study uses the contact covariance arrays, source metadata, pinned raw retrieval recipe, and raw fixture.

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

    The analysis uses the HUP iEEG Epilepsy Dataset, version 1.1.3, for source metadata and the covariance data used in the reported tests.

  3. doi:10.1523/ENEURO.0492-21.2022
  4. doi:10.1093/braincomms%2Ffcae165

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