Invertible contrast changes within shafts preserved the Gaussian score between shafts in positive definite 1–80 Hz SEEG covariance from 36 patients
We tested Gaussian dependence scores in public stereoelectroencephalography (SEEG) data from two interictal records in each of 36 patients. The source was OpenNeuro ds004100, version 1.1.3. In adjacent bipolar contrasts, the mean within-shaft share was 66.7% (95% patient bootstrap interval 63.7% to 69.7%); this covariance share is not an artifact fraction. Three contrast bases retained the same signal subspace. Mean total scores were 0.340, 1.077, and 0.748 nats per channel for adjacent, anchor, and orthonormal contrasts, while each basis gave the same mean between-shaft score of 0.119 nats per channel. A determinant argument proves this equality for invertible changes within fixed shaft blocks and positive definite covariance. We also derive an exact total-correlation score for adjacent differences of independent Gaussian contacts. In the 30–80 Hz band, all 36 observed patient means were below the diagonal contact model means; the model cannot identify an artifact fraction. The scores describe zero-lag covariance and do not show causal communication. This secondary analysis reuses an existing cohort. All 72 compact covariance inputs were rebuilt exactly from public source ranges, and the complete score analysis reproduced seven output files exactly.
stereoelectroencephalography · SEEG · Gaussian total correlation · bipolar montage · covariance · electrode shafts · contrast basis · independent Gaussian contacts
References
8- usesIn 36 patients with fixed SEEG contrasts, mean change in estimated canonical correlation spectra was larger between files than between adjacent blocks at 1–80 Hz sci:sha256:1217c177ec55b99e3867daa6135687900230630b32c8a790c700777fcc5adf29
Original compact covariance data and fixed 36-patient cohort. This study adds total-correlation endpoints to the same data.
- 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
The imported public range retrieval code and source selection trace to this publication. The pinned range recipe is retained.
- usesZero cross-contact covariance gave mean shaft modularity of 0.903 in 1–80 Hz bipolar absolute correlation models for 36 SEEG patients sci:sha256:f365fd21652627699c341436d59f0f62e54eb790ccef88d7d597a7d9cdf42dd7
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.
- usesTwo bases of the same SEEG contrast space gave different 1–80 Hz correlation participation ratios in 36 patients sci:sha256:901bade82e1972a491fb8b27d87ddf5ae157f439c20fb612d6d24768419473f2
The contrast construction and public source check code trace through this publication. Code origins and licenses are kept.
- usesLinks within shafts had higher agreement than links between shafts in 1–80 Hz SEEG trees from 36 patients sci:sha256:01716b8919c1a1a82e266a9425e21d59a52cb0e0c9050ab912be59013088feef
Direct input. It supplies the 72 compact covariance archives, sample signals, source sidecars, range manifest, and public source check code.
- supportsdoi:10.1016/j.clinph.2006.05.032
Background evidence that bipolar conversion can change intracranial signal measures.
- doi:10.1016/j.neucom.2023.127143
- usesdoi:10.18112/openneuro.ds004100.v1.1.3
Exact version of the HUP iEEG Epilepsy Dataset used as the public source dataset.
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