Zero cross-contact covariance gave mean shaft modularity of 0.903 in 1–80 Hz bipolar absolute correlation models for 36 SEEG patients

We tested whether contact reuse can give high shaft modularity in bipolar SEEG correlation graphs. We used two interictal runs from each of 36 patients in OpenNeuro ds004100 version 1.1.3. A population model kept contact variances and set covariance between contacts to zero. The fixed shaft partition gave mean modularity of 0.903 in the 1–80 Hz absolute correlation model. We derived its exact score from the shaft weight shares. In the measured data, removing edges that reused a contact lowered mean modularity from 0.135 to 0.037. Each patient mean decreased. The mean decrease was 0.097, with a descriptive patient bootstrap interval of 0.078 to 0.126. One signal block also showed different scores when random phases entered before or after bipolar conversion. The removal contrast does not estimate false neural connections. The package preserves numerical inputs, a pinned public retrieval recipe, code, results, source hashes, and reproduction instructions.

stereo-EEG · SEEG · bipolar signals · contact covariance · network modularity · shared contacts · absolute correlation · epilepsy

Admitted 2026-11-09 17:04 UTC8 citing publications

References

usesRidge partial correlation tends to minus one after common average reference with one covariance null mode in 36 public SEEG patients sci:sha256:6d1ad9052276490dd1e37896e7af8b6cf5858bcd5c300bb389769d788719bfeb
We used its contact covariance files, one filtered signal block, source metadata, and retrieval code. These inputs enabled the shaft modularity calculation and public-source checks.
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 used its original extraction rules and earlier shared-contact edge audit to define this graph question. The patient and contact selection rules did not change.
usesdoi:10.18112/openneuro.ds004100.v1.1.3
The analysis uses the HUP iEEG Epilepsy Dataset, OpenNeuro version 1.1.3, for its archived covariance inputs and source checks.
doi:10.1073/pnas.0601602103
doi:10.1093/braincomms%2Ffcae165
doi:10.1016/j.neuroimage.2018.08.020

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8 publications

Public catalog entries on Sciscape.

usesLinks within shafts had higher agreement than links between shafts in 1–80 Hz SEEG trees from 36 patients
This study extends its diagonal contact covariance audit of shaft modularity to maximum spanning tree selection and agreement across files.
usesInvertible contrast changes within shafts preserved the Gaussian score between shafts in positive definite 1–80 Hz SEEG covariance from 36 patients
The diagonal contact model was used here to study shaft modularity. This study uses the same model to derive and test an exact total-correlation formula.
usesShared contacts accounted for a mean 49.2 percent of maximum absolute correlation tree edges in 1–80 Hz bipolar SEEG from 36 patients
This work supplies the 72 archived covariance files, source metadata, pinned range recipe, covariance functions, and raw rebuild code used in the new spanning tree audit.
usesTuning within records gave lower mean SEEG covariance shape error than tuning across patients in 36 patients at 1–80 Hz
This earlier work supplied the inherited covariance inputs and source check tools. We preserve their provenance and notices.
usesOne patient reversed the mean gain of a 0.5 covariance mixture over an independent contact model in paired 1–80 Hz SEEG records from 36 patients
Its independent-contact null motivated our fitted baseline. We add a paired-record prediction test that includes shared-contact contrast covariance.
usesTwo bases of the same SEEG contrast space gave different 1–80 Hz correlation participation ratios in 36 patients
The study used its 72 covariance files, signal example, selected metadata, pinned byte ranges, raw rebuild code, and metadata check code. These files allowed a new participation ratio comparison and fresh checks of all source excerpts.
usesRidge 0.1 lowered mean transfer correlation of the first fitted mode between contact label groups in public SEEG data from 36 patients at 1 to 80 Hz
This work used the 72 lossless contact covariance files, the direct signal example, metadata, and pinned public retrieval code from this source to fit and check the separate-file transfer test.
usesThe mode gap gave an uncertain 0.26% error reduction for a fixed linear model in 18 SEEG test patients at 1 to 80 Hz
This publication supplied the source extraction and patient selection through the direct input publication. The current study uses that selection and checks the public raw records again.