Correlation magnitudes require balance in a mean 66.8 percent of 1–80 Hz SEEG triangles from the strongest 10 percent of links between named shafts after average reference in 35 patients
We tested whether measured correlation magnitudes require a balanced sign product in strong SEEG triangles. We used public OpenNeuro ds004100 version 1.1.3 and preserved covariances from 36 epilepsy patients. The primary graph used 1–80 Hz, equal-weight average reference, and the strongest 10 percent of links between different named shafts. Each triangle contained three shafts. There were 418,198 triangles in 140 blocks from 35 patients. One patient had no selected triangle. At fixed magnitudes, an unbalanced product was impossible in a mean 66.8 percent of triangles (patient bootstrap 95 percent interval 59.7 to 73.8 percent). A uniform shuffle of selected signs was expected to give an invalid three-channel correlation matrix in 31.1 percent of triangles. All 7,000 shuffles in the 35 tested blocks with triangles gave at least one invalid triple. The fraction with required balance changed with reference, band, and edge density. This fraction is a mathematical constraint. It does not measure the share of a signal caused by an artifact or by neural activity. The package includes an audit tool, all input covariances, source metadata, pinned raw retrieval recipes, results, bootstrap draws, and checks. Two fixed raw excerpts reproduced 12 covariance matrices. The complete offline repeat gave identical result files.
SEEG · correlation matrices · signed networks · covariance constraints · sign shuffle · epilepsy
References
5- usesMean triangle balance exceeded the sign-shuffle expectation for strong edges in 1–80 Hz diagonal CAR models from 36 SEEG patients sci:sha256:e74fdfc8921a430193f7568381c7afb073c5776d1f9c18b5066525c5fee33aca
The prior study found high balance in recorded strong CAR graphs and stated a covariance constraint. It informed our fixed secondary-analysis question. We quantify required balance and exact invalid-shuffle fractions with a different cross-shaft selection rule.
- 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 reuse all 72 public contact covariance files, source metadata, extraction code, and pinned raw retrieval records. We apply new three-shaft triangle determinant checks and sign-shuffle validity diagnostics.
- usesdoi:10.18112/openneuro.ds004100.v1.1.3
The study uses the HUP iEEG dataset, OpenNeuro ds004100 version 1.1.3.
- doi:10.1371/journal.pone.0088669
- doi:10.1038/s41598-021-81767-7
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