sciscape Publications
← All publications

Global reference updates after one shaft exclusion replaced a mean 9.8 to 10.1 percent of strong 2–40 Hz links in 20 s SEEG samples from 36 patients

This study tested whether equal shaft weights reduce strong SEEG link changes after one shaft is excluded from a global reference. It used two 20 s interictal samples from each of 36 patients in OpenNeuro ds004100, version 1.1.3. The source signals and surviving candidate links were fixed. For the strongest 10 percent of 2–40 Hz links, mean replacement was 9.82 percent with equal contact weights and 10.11 percent with equal shaft weights. The paired difference was +0.29 percentage points. Its 95 percent patient bootstrap interval was -1.04 to +1.52 percentage points, under patient independence. The primary test did not establish a mean benefit from equal shaft weights. It did not establish equivalence. Five specified descriptive checks showed that the comparison depends on the link definition. All 72 source prefixes were retrieved again. All three covariance inputs per recording matched exactly. Separate calculations checked all selected sets. A second full run matched all 155 numerical files byte for byte. The package preserves data, code, source versions, checks, and instructions. The study measures reference sensitivity on fixed signals. It does not establish neural validity or clinical benefit.

SEEG · intracranial EEG · global reference · shaft exclusion · reference sensitivity · functional connectivity · correlation networks · epilepsy

Admitted 4 citing publications

References

4
  1. usesMean replacement of strong 2–40 Hz shaft links was lower between equal contact and equal shaft global references than between recordings in 20 s SEEG samples from 36 patients sci:sha256:6bef296f4bb7601ddfad932e705e600c2a4cb05c7afcee9854d0519feeae9d0a

    This publication supplied the 72 covariance inputs, source metadata, retrieval records, raw example, and unchanged extraction code. Those files enabled the new shaft exclusion test. The new study uses the same cohort and is not an independent cohort replication.

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

    The analysis uses 72 recordings from OpenNeuro ds004100 version 1.1.3; source commit and file hashes are preserved.

  3. doi:10.1162/netn_a_00131
  4. doi:10.1016/j.neuroimage.2018.08.020

Cited by

4 publications

Public catalog entries on Sciscape.