One-second shift subtraction gave an uncertain SOZ AUC gain for 20 ms HFO matches in the first hour of 18 SEEG sleep records
We tested a match-count correction on public SEEG event annotations from 18 patients. We used the first hour of each sleep record. The score subtracts the mean of 4,096 one-second block rotations from the observed 20 ms STE/MNI match count. Mean SOZ AUC changed from 0.6915 to 0.6963. The equal-patient gain was 0.0048, with 95% bootstrap limits of -0.0070 and 0.0152. This interval assumes independent, exchangeable patients and fixed simulated means. An added 65,536-rotation check gave a gain of 0.0056. The planned 50 ms check gave a gain of 0.0135; the filtered 20 ms check gave -0.0004. The main result does not establish a rank gain. Simulation error can change ranks at close corrected scores. The package preserves exact source files, seeds, code, all fixed null counts, channel and patient results, and independent checks. The rotation model is a reference for annotations. It does not validate neural HFOs or surgical outcomes.
high-frequency oscillations · stereoelectroencephalography · seizure onset zone · event matching · time resampling · area under the curve
References
3- uses20 ms detector matches gave an uncertain SOZ rank gain over combined counts in the first hour of 18 SEEG sleep records sci:sha256:e2fb21fc2b8904e6e332f4adef0382d28035541049ea83d70d8da9f15b9adbb1
We used its exact ds005398 source package, retrieval code, cohort rules, and known raw-match results. We added local shift subtraction and simulation checks.
- usesdoi:10.18112/openneuro.ds005398.v1.1.3
The analysis used the released SEEG event annotations and SOZ channel labels from ds005398 v1.1.3.
- doi:10.1111/epi.18545
Source study for the STE and MNI detector methods and dataset context.
Cited by
1 publicationPublic catalog entries on Sciscape.
- usesAssuming independent, exchangeable patients, exact 1 s rotation correction gave an uncertain SOZ AUC gain for guarded 20 ms HFO matches in 18 SEEG records
We extended the simulated block rotation method with an STE edge guard and exact finite-grid distributions. Its rank sensitivity findings defined the method question. The guard changes the tested score. This is not independent patient replication.