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Equal 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

We tested whether target shaft weights change SEEG hub sets. We used two 60-second interictal records from each of 36 epilepsy patients in OpenNeuro ds004100 version 1.1.3. Both scores used absolute Pearson correlation between bipolar channels on different named shafts. The signals, reference, links, and candidate nodes were fixed. Equal shaft weights replaced a mean of 10.75 percent of the top 10 percent hub set at 1–80 Hz. The descriptive 95 percent patient bootstrap interval was 8.40 to 13.26 percent. Mean agreement between records changed by 0.23 percentage points, with an interval of −3.14 to 3.64. Complete uniform duplication of one target shaft left the score with equal shaft weights unchanged. We prove this property under fixed correlations and fixed candidates. These results do not establish clinical accuracy or recovery of unrecorded brain tissue. The package preserves all inputs, code, source pins, hashes, all nine fixed settings, and reproduction instructions.

stereoelectroencephalography · SEEG · hub score · shaft weighting · intracranial EEG · network analysis

Admitted 2 citing publications

References

5
  1. 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 supplies all 72 contact covariance files, the fixed contact selection, the bipolar pairs, source metadata, and pinned raw retrieval records. We use these inputs to compare channel weights with shaft weights on fixed links between shafts.

  2. usesModels with zero covariance between recorded contacts gave mean overlap of 81.7 percent for top 10 percent bipolar SEEG hubs in paired 60-second samples from 36 patients at 1 to 80 Hz sci:sha256:13cf228f77cc4be6687ece0007bfb8730bdbfa9d226755a913dce8e0a1dc6263

    The earlier model result informed our limit on the interpretation of hub agreement between records. We do not treat agreement as proof of coupling or clinical accuracy. Its patient data overlap with this study.

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

    The analyzed HUP iEEG recordings are from OpenNeuro ds004100 version 1.1.3; the saved exact-version metadata records the dataset DOI and CC0 license.

  4. doi:10.1162/netn_a_00131
  5. doi:10.1093/braincomms%2Ffcae165

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