Mean onset channel overlap was 0.093 lower across spontaneous seizures than within seizures for fixed expert pairs in 11 adult SEEG patients
We tested whether expert onset channel labels agree less when the seizure changes. We used public SEEG annotations from NEMAR nm000402, version 1.0.0. The main test had 32 spontaneous seizures, 31 seizure pairs, and 11 adult patients. Each comparison kept the patient and distinct expert pair fixed. Patients had equal weight. Mean Jaccard overlap was 0.579 within a seizure and 0.485 across seizures. The mean difference was 0.093. Its 95% patient bootstrap interval was 0.012 to 0.214. The exact two-sided sign-flip probability was 0.03125. Intervals assume independent, exchangeable patients. The sign-flip test also assumes symmetric null signs. Eight patient differences were positive, two were negative, and one was zero. One patient supplied 59% of the sum of differences. The first-two-seizure check had an interval that included zero. The result concerns expert label agreement in this selected cohort. It does not identify a biological cause. We provide exact source files, new comparison tables, code, independent checks, and repeat instructions.
stereoelectroencephalography · seizure onset · expert agreement · Jaccard overlap · reproducibility · epilepsy
References
4- usesClinician inclusion raised mean onset channel balanced agreement by 8.5 points in 78 public SEEG seizures with equal vote counts and fair ties sci:sha256:df9497458a334bc44fb43e4de8ca60c95b73e2e1549f6992684f610ef2ad24ff
This investigation uses the archived public source files, pinned retrieval manifest, schema audit, and known seizure type conflicts. It supplies new fixed-expert within-seizure and cross-seizure comparisons. The source cohort is the same.
- usesdoi:10.26275/dely-fzwx
The analysis uses seizure annotations and channel metadata from Pennsieve Discover dataset 530, version 3, as recorded in the source manifest.
- usesdoi:10.82901/nemar.nm000402
The analysis uses the NEMAR public mirror nm000402, version 1.0.0, whose archived metadata identify this DOI.
- doi:10.64898/2026.01.15.26344025
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