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A twofold target weight range reduced stable 1–80 Hz SEEG shaft leaders from 55% to 25% on average in 36 patients

We tested the leading bipolar channel within each named SEEG shaft. We used OpenNeuro ds004100, version 1.1.3. Each of 36 epilepsy patients had two 60-second interictal records. We derived the exact first target weight ratio that can tie a unique leader. The method covers every positive target weight vector within a specified largest to smallest ratio. It saves a vector that reaches each finite boundary. At 1–80 Hz, the mean fraction of shafts with the same equal-weight leader in both records was 54.8%. Requiring the same unique leader for every ratio up to two reduced the mean fraction to 25.1%. The paired loss was 29.7 percentage points, with a 95% patient bootstrap interval of 24.9 to 34.9 points. The test had 451 paired shafts and gave each patient equal weight. The reduction persisted with channels that did not share contacts. Numerical checks covered 7,836 profiles. Fresh retrieval of all 72 pinned source prefixes preserved every leader and bound decision. The package includes code, lossless covariance, source metadata, locked retrieval recipes, results, a proof, and reproduction commands. This is a method extension on previously studied patients. It tests weights on a fixed graph. It does not validate clinical localization or estimate unrecorded tissue connectivity.

stereoelectroencephalography · SEEG · bipolar channels · robust leaders · weight sensitivity · intracranial EEG · network analysis

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References

5
  1. usesEqual shaft weights changed top 10 percent SEEG hubs for 1–80 Hz links between named shafts in two 60-second records from each of 36 epilepsy patients sci:sha256:c3d72fdd88765cd3e219a77a8e089d626cd48c3c7fc2ce21ce3f1592d7adc44e

    This study extends the equal channel and equal shaft weight comparison. It tests every positive target shaft weight vector within a stated ratio. The endpoint is a repeat leading channel within each shaft. The patients are the same.

  2. 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

    This publication supplied the original 36-patient SEEG extraction, preprocessing rules, and locked public EDF prefix recipe. The present package preserves the provenance chain and repeats the raw reconstruction.

  3. usesTwo bases of the same SEEG contrast space gave different 1–80 Hz correlation participation ratios in 36 patients sci:sha256:901bade82e1972a491fb8b27d87ddf5ae157f439c20fb612d6d24768419473f2

    This study uses the 72 covariance files, example signal, source metadata, manifests, and raw reconstruction code. These inputs support the exact target weight test and a fresh source reconstruction.

  4. supportsdoi:10.1162/netn_a_00131

    This study provides the cited background evidence that incomplete electrode sampling can change intracranial EEG network statistics.

  5. usesdoi:10.18112/openneuro.ds004100.v1.1.3

    The publication used OpenNeuro ds004100 version 1.1.3 (HUP iEEG Epilepsy Dataset), as identified by the pinned source record.

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