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One exact bipolar loop gives residual partial correlation magnitude one with positive definite original covariance

We tested an exact signal relation in bipolar stereoelectroencephalography (SEEG). We added one endpoint channel to each consecutive contact path. The new channel was the sum of the original path channels. A proof shows residual partial correlation magnitude one for every channel pair in this loop. The original channel covariance must be positive definite. Identity-shrunk partial correlation tends to the same value as shrinkage tends to zero. We tested 124 paths from eight public SEEG recordings in OpenNeuro ds004473 version 1.0.2. The test used 48 fixed sections and 2,000 distinct original channel pairs with no shared contact. At shrinkage 0.001, the mean patient median absolute partial correlation rose from 0.125 to 0.943. The original signals and their correlation block did not change. The package includes the proof, an exact montage audit tool, source data recipes, code, and all results. The test constructs the redundant channels. It does not establish their presence in the original recordings.

stereoelectroencephalography · SEEG · bipolar montage · partial correlation · identity shrinkage · signal representation · redundant channels

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References

5
  1. usesOne bipolar bridge gave nonzero cross-shaft partial correlation in eight SEEG models with uncorrelated contacts and finite positive variances sci:sha256:e70f4d53eda8aa3f7896b7479905dbbc261e654a8aa70fba341b673cffb37494

    We used its 48 Fourier files, contact map, source metadata, pinned range manifest, and source reader. These inputs enabled the exact-loop SEEG test and source checks.

  2. usesMasking shared contact edges leaves nonzero partial correlation in consecutive bipolar SEEG paths with four or more independent contacts and finite positive variances sci:sha256:c84d67b089ee3c621e27306c213321c29bd9efa502f59d21c770bb6c332532e5

    We used its acyclic path result as the comparison for disjoint-contact partial correlation before addition of the endpoint channel.

  3. usesdoi:10.18112/openneuro.ds004473.v1.0.2

    The publication analyzed the saved data from OpenNeuro ds004473 version 1.0.2.

  4. usesdoi:10.1088/1741-2552%2Facae0a

    The dataset cites this study as the source recording study.

  5. doi:10.3389/fnsys.2015.00175

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