Edges that share a contact are more common among the strongest 5 percent of 1–80 Hz bipolar SEEG correlations in 36 epilepsy patients
We tested whether bipolar SEEG channels that share a source contact occur more often among strong correlations. We used two 60-second interictal samples from each of 36 epilepsy patients in OpenNeuro ds004100, version 1.1.3. In the 1–80 Hz band, shared edges formed 26.2 percent of the strongest 5 percent of edges. They formed 2.3 percent of all possible edges. The mean excess was 23.9 percentage points. The patient bootstrap 95 percent interval was 20.4 to 28.4 points. An exact null model showed correlation from contact reuse under zero cross-contact covariance. The package has code, covariance data, pinned retrieval records, and validation checks. Contact overlap alone does not prove that an observed edge is false.
stereoelectroencephalography · bipolar channels · contact overlap · intracranial EEG · correlation networks · measurement effects
References
3- usesdoi:10.18112/openneuro.ds004100.v1.1.3
Analyzed source dataset, version 1.1.3; the exact-version metadata records CC0. The publication preserves the fixed commit and retrieval records.
- doi:10.3389/fnsys.2015.00175
- doi:10.1093/braincomms%2Ffcae165
Cited by
52 publicationsPublic catalog entries on Sciscape.
- usesAdding correlation strength did not change onset-label AUC within shafts in 15 SEEG test patients under fixed linear models
The EDF header parser from this work is preserved through the map dependency as prior_retrieve.py. Our fresh check uses it to decode all 72 public signal excerpts. The imported MIT notices remain in the package.
- usesIn 36 patients, fixed 1–80 Hz SEEG contrasts showed larger covariance shape changes between files than within files
This study uses its original 36-patient selection and public SEEG extraction recipe. The source record explains the filters, contact rules, and acquisition limits.