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Name group removal preserved more top high gamma contacts than file changes in 32 HUP SEEG patients

We tested how the common average reference pool changed high gamma contact selection. We used two 30-second interictal samples per patient in 32 HUP SEEG patients. We used the same good-contact pool and equal contact weights. Removing the tested contact's name group kept 98.3 percent of the top 10 percent contact set on average. Changing the source file kept 63.1 percent. The mean overlap difference was 35.1 percentage points. Its 95 percent patient bootstrap interval was 26.3–44.6 points. All planned checks had the same direction. An exact proof showed why group removal increases group mean power. It did not improve seizure onset label AUC. The package preserves code, a fixed local plan, contact powers, band covariance matrices, metadata, raw examples, and pinned retrieval recipes. Independent decoding and exact offline repeats passed. This result applies to these short samples from public OpenNeuro ds004100 version 1.1.3. Name prefixes define the groups. The study did not verify physical shafts.

stereoelectroencephalography · SEEG · intracranial EEG · common average reference · high gamma · contact selection · reference pool · signal processing · seizure onset zone · power spectral density

Admitted 2 citing publications

References

4
  1. usesLower contact numbers gave higher mean seizure onset label AUC than higher gamma fractions in two 60-second SEEG samples from 36 patients sci:sha256:7f57f55fb0912992a415d07349886a14b5bb293e801fb2771f8de060871ebcd1

    Its naming audit identified HUP142 and HUP166 as uncertain name cases. We used that result to fix primary exclusions before new signal extraction. We included both patients in a planned sensitivity check.

  2. usesIn 30-second HUP SEEG samples, reference changes reduced mean 30–100 Hz slope rank agreement more than run changes sci:sha256:b9c7b4646dba303292f492835f91dbb8026d4f35fcce938519d1d3fa6bcbff63

    This work supplied the unchanged EDF decoder, exact OpenNeuro metadata, and pinned 30-second raw retrieval recipes. We retrieved the raw ranges anew and calculated new reference powers. We did not use its slope or power results as data.

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

    The publication used interictal SEEG files and source metadata from OpenNeuro ds004100 version 1.1.3; the source URL, fixed metadata commit, and raw-file checks are recorded in the publication.

  4. doi:10.1016/j.neuroimage.2018.08.020

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