Two controlled AUC scores gave opposite SEEG reader rankings in two of 19 people before movement with eight contact pairs and penalty 10
We compared two choice AUC scores in public MetaRDK SEEG data. Each reader used eight bipolar contact pairs and penalty 10. One score averaged AUC within cue direction. The other averaged AUC within correct and error trials. We compared equal choice fit weights with equal cue and choice group fit weights. The readers and later test trials stayed fixed. The two scores gave opposite point rankings in two of 19 people before movement and two after movement. These counts are descriptive. They do not show which reader is better on new trials. We proved that AUC with equal test weight in all four cue and choice groups is the mean of the two controlled scores. The proof requires binary cue and choice, accuracy equal to their agreement, four nonempty groups, and half credit for ties. The identity passed independent checks for all 342 saved readers. We reproduced 190 overlapping fits from the earlier weight-rule study. The before-movement mean change within cue was +0.013462, with descriptive 95% person interval [-0.020016, +0.047829]. This test showed no clear reader gain. The package has code, compact data, source records, saved readers, predictions, four figures, and repeat instructions. All 14 numerical files replayed exactly. This exploratory offline study does not establish live signal timing or stimulation effects.
stereoelectroencephalography · SEEG · area under the curve · AUC · choice decoding · class weighting · cue balancing · neural signals
References
7- usesReaders with up to eight motor and premotor SEEG channels gave 0.476 mean choice AUC within visual directions before movement in 11 MetaRDK participants sci:sha256:4245518fb13f567577be72a3ab022115c26f71a3e2082164329845cc5b518479
The earlier marker-feature audit informs the source feature checks. We require both names in each bipolar pair to match the source anatomy table.
- usesOffline SEEG models increased mean choice AUC by 0.101 after movement within visual directions in six additional MetaRDK participants sci:sha256:3175bc53236feacbdeeb4dee8df313532afbbc2a03b20be5e9555f4d8a583009
The original 21 compact public SEEG feature files and their extraction audits supply the analysis inputs. Their hashes remain unchanged.
- usesSEEG readers fitted after movement lost 0.085 mean choice AUC before movement in 14 offline tests with eight channels at penalty 10 sci:sha256:afc193e3e7276ac2050c6767972df7be341ef82952059b93d7719fc61d52d876
The extraction and bounded-range source retrieval code permit a complete source rebuild. We preserve the copied code hashes and license records.
- usesOffline SEEG readers with eight contact pairs and penalty 10 gave mean choice AUC 0.526 across opposite cues in 19 MetaRDK participants sci:sha256:c22d122d956476b6b42bf2d4ff09d54b02692d4e2c7e7005a613581a561a487f
This package supplies the compact inputs, source metadata, anatomy contact rule, chronological split, and numerical helpers. We retain its extraction and retrieval code.
- Equal group weights gave no clear mean AUC gain in 19 offline SEEG tests with eight pairs and penalty 10 sci:sha256:0ec1cb744e0b860490511c74b6045561c7662b06cece7373f978cf79ec1b13e0
[Legacy relation: reproduces] We reproduce all 190 overlapping class and cell weight readers. Trials and contacts match exactly. The largest coefficient error is 3.990e-16. We credit its weight-rule proof and accuracy-conditioned cue control. We add an explicit comparison of the two controlled AUC scores and their four-group identity.
- usesdoi:10.18112/openneuro.ds006253.v1.0.3
The study uses the OpenNeuro MetaRDK dataset, version 1.0.3. The saved source record identifies this exact version and records its CC0 license.
- doi:10.1038/s41467-025-61744-8
Cited by
0 publicationsPublic catalog entries on Sciscape.
No incoming citations on Sciscape.