Ten percent STE removal per patient allowed mean within-shaft SOZ AUC 0.304 in 17 SEEG sleep hours with fixed labels
Candidate high-frequency oscillation (HFO) marks can include false detections. This study tested how arbitrary removal of such marks can change a localization rank score. The source was public SEEG data from OpenNeuro ds005398, version 1.1.3. The analysis used the first hour of 17 sleep records with both labels on at least one electrode shaft. Labels and channels stayed fixed. The primary analysis used the source STE detector marks without a score filter. The initial equal patient mean within-shaft AUC was 0.639. With at most 10 percent of marks removed in each patient, its exact lower bound was 0.304. The bound first reached 0.5 at a common upper removal fraction of 20/909, or about 2.20 percent. The package gives a proof, an exact algorithm, source bytes, and event lists that attain the bounds. This is a sensitivity result for these records. It does not estimate the actual number of false detections.
high-frequency oscillations · SEEG · seizure onset zone · sensitivity analysis · rank concordance · exact bounds
References
4- usesUnfiltered STE and MNI event maps differed more than adjacent 10-minute samples in the first hour of 17 SEEG sleep records sci:sha256:c3924a4d1005d065d0b27dd0614e3c0ad68882a5aab501edf7b37602f8069c28
Uses its pinned OpenNeuro ds005398 source archive, source manifest, and score-rule reference. Uses its count table to check the new count extraction. The exact removal bounds and proof use new code. The same source patients are reused.
- doi:10.1016/j.clinph.2011.06.006
- usesdoi:10.18112/openneuro.ds005398.v1.1.3
Source event marks and metadata from the exact analyzed dataset release.
- doi:10.1111/epi.18545
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