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Full partial correlation remains between disjoint bipolar channels within chains in independent contact controls from 36 SEEG patients

We tested whether removal of edges that share a contact removes montage effects from full partial correlation. We derived an exact formula for adjacent bipolar chains with independent contacts and positive variances. All disjoint pairs within a chain have nonzero population partial correlation after adjustment for all other bipolar channels. Four equal-variance contacts give zero ordinary correlation and partial correlation -1/3 for the first and third channels. We applied the formula to public SEEG contact variances from 36 patients in OpenNeuro ds004100 version 1.1.3. In 1–80 Hz, the mean patient fraction of disjoint pairs within a chain with absolute partial correlation at least 0.30 was 69.1%, with a patient bootstrap interval of 66.4% to 71.8%. Across all disjoint pairs, the mean was 3.9%. Selecting nonoverlapping channels before inversion gave zero population partial correlation. Masking shared edges after full inversion retained the effect. All 72 raw source ranges were verified and all input covariance matrices were rebuilt. The package preserves the proof, code, derivatives, raw retrieval recipe, results, and checks. This control does not identify false neural connections or neuronal inhibition in acquired data.

SEEG · partial correlation · bipolar montage · contact overlap · precision matrix · connectivity · independent-contact control · OpenNeuro

Admitted 8 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

    We use all 72 lossless contact covariance files, the filtered SEEG example, contact selection, montages, metadata, and pinned raw retrieval code. These files enable the new full partial correlation control. We rebuilt all covariance matrices from fresh source ranges.

  2. doi:10.1093/braincomms%2Ffcae165
  3. doi:10.3389/fnins.2016.00123
  4. usesdoi:10.18112/openneuro.ds004100.v1.1.3

    This is the exact OpenNeuro ds004100 version 1.1.3 used for the SEEG data; the publication records the dataset page, pinned commit, and source metadata.

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