With agreed labels fixed, source AUC was higher than mean reference AUC for all disputed N1 or P1 labels at 20 to 90 ms in UMCU21 SEEG
We tested how expert label disagreements affect a stimulation-response reader comparison. The public UMCU21 record from OpenNeuro ds004774 version 1.0.0 supplied 330 pulses and six SEEG contacts. SEEG means stereoelectroencephalography. Two experts had labels for 188 matched cells at 33 selected stimulation sites. The primary endpoint was an N1 or P1 response. There were 38 disputed binary labels. We kept agreed labels fixed and allowed each disputed label either value. A rank identity gave exact AUC difference limits without enumerating all label choices. AUC is the area under the receiver operating characteristic curve. At 10 to 90 ms, mean minus source AUC ranged from -0.0968 to +0.0087. At 20 to 90 ms, it ranged from -0.1466 to -0.0187. Thus, source AUC was higher for every permitted primary label choice in the later window. The result did not hold for N1-only labels. Two disputed-label changes reversed expert SB's N1 comparison while keeping eight positives. The package adds an exact audit method with a proof, source code, voltage data, label assignments, and three figures. Small exhaustive tests, all 816 saved bound endpoints, a clean numerical replay, and fresh checks of all 330 raw ranges passed. The limits apply to fixed scores and this reused record. They are not confidence intervals or proof of correct neural labels. No live interface or new stimulation was tested.
AUC · label uncertainty · SEEG · N1 · P1 · stimulation response · robustness analysis · brain-computer interface
References
3- usesUsing N1 labels reversed the mean reference AUC point difference for expert SB at 10 to 90 ms in UMCU21 SEEG sci:sha256:1453b33f336236de74b1836f12428f9fd789c521b95345d5510ce90f89f88575
This study reused the UMCU21 voltage epochs, source labels, metadata, range hashes, and fixed score definitions. It checked the saved inputs against original MAT labels and all pinned raw ranges. It added exact disputed-label AUC limits and minimum-change witnesses.
- usesdoi:10.18112/openneuro.ds004774.v1.0.0
Source data, labels, and metadata for UMCU21, dataset release 1.0.0.
- usesdoi:10.1016/j.jneumeth.2025.110389
Source response-detection method and label definitions referenced in this comparison.
Cited by
1 publicationPublic catalog entries on Sciscape.
- usesTen-pulse response-label AUC exceeded mean five-pulse subset AUC at 10 to 90 ms in UMCU21 SEEG with agreed binary labels fixed
This study uses the paired midrank AUC method, MIT rank code, and pinned source range audit recipe. It applies the method to pulse counts and extends the code to equal-weight mean AUC over fixed pulse subsets.