SEEG readers fitted after movement lost 0.085 mean choice AUC before movement in 14 offline tests with eight channels at penalty 10
We tested whether a SEEG choice reader fitted after movement also works before movement. We used public MetaRDK data, 14 people, eight selected bipolar channels, penalty 10, and 1,167 later test trials. Each frozen reader kept its fitting means, scales, channels, and coefficients. Mean choice AUC within visual directions was 0.584 after movement and 0.499 before movement. The paired drop was 0.085, with a descriptive 95% person bootstrap interval from 0.032 to 0.144. The drop occurred in 12 people. Against a reader fitted before movement, transfer gave a mean gain of 0.005. Its interval was -0.060 to 0.078. This does not establish a gain or equivalence. The planned primary comparison of separate time-window fits gave a gain of 0.090 after movement. Its interval was 0.019 to 0.162, and the exploratory sign-flip p value was 0.03284. Earlier work reported the diagonal scores in this reused cohort. This study adds the frozen transfer matrix and fixed-channel checks. Source smoothing and event alignment prevent a live timing claim. The package preserves inputs, all model states and predictions, code, figures, hashes, and reproduction instructions. An independent numerical check and an exact score replay passed. Two complete public-source rebuilds matched every compact array.
stereo-electroencephalography · choice decoding · frozen readers · time transfer · AUC · brain-computer interfaces · MetaRDK
References
4- usesOffline eight-channel SEEG models gave 0.484 mean choice AUC within visual directions in 8 new MetaRDK participants sci:sha256:000ec8109a497514631b4d12ae086e5a3ac4edce34c56551ee0604fb598fe426
This publication supplied the original compact extraction and bounded retrieval code. Its earlier diagonal time-window scores define the reused evidence that this study extends.
- usesTrial baseline subtraction gave an uncertain AUC gain in 14 offline eight-channel SEEG tests at penalty 10 sci:sha256:6044bf7d8bd0af124cb24251137f36c7d1b8a344873de87384c033083a1e147b
This publication supplied all 14 compact feature files, source audits, metadata, trial rules, and source rebuild code. These inputs enabled the frozen-reader transfer test.
- usesdoi:10.18112/openneuro.ds006253.v1.0.3
Source dataset used: MetaRDK, OpenNeuro ds006253 version 1.0.3.
- doi:10.1038/s41467-025-61744-8
Cited by
7 publicationsPublic catalog entries on Sciscape.
- usesBalanced choice pattern products gave an uncertain mean rise after movement in 19 offline SEEG records with baseline SD scaling
Source extraction and bounded retrieval code from this work were used through the direct parent. We inspected the code and used it to rebuild one compact input from its pinned public source.
- usesOffline SEEG readers trained on correct trials gave 48.6 percent balanced accuracy for inferred responses before movement on later errors in 15 MetaRDK records
Related timing question, before and after movement. Its all-trial training and conditional AUC test differ from this analysis.
- usesBalanced choice pattern products gave an uncertain mean rise after movement in 19 offline SEEG records with baseline SD scaling
Source extraction and bounded retrieval code from this work were used through the direct parent. We inspected the code and used it to rebuild one compact input from its pinned public source.
- usesSEEG readers with eight channels had mean choice AUCs of 0.491 at 50 ms lead and 0.495 at 250 ms lead within stimulus groups in 10 MetaRDK records
We used the before and after movement question and the choice AUC definition within stimulus direction. This study compares two pre-movement lead times and adds a filter support calculation under a stated assumption.
- usesSEEG readers with all pairs and eight pairs gave mean choice AUCs of 0.580 and 0.563 after movement in 19 offline tests
We reused extraction, restricted source loading, bounded source retrieval, and source-rebuild code through the direct package parent.
- usesTwo controlled AUC scores gave opposite SEEG reader rankings in two of 19 people before movement with eight contact pairs and penalty 10
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
This publication supplied the unchanged extraction, bounded-range source retrieval, and complete source-rebuild code. These files enabled a fresh complete sub-04 signal rebuild and a retrieval recipe for all compact inputs. Its fixed-reader fitting method informed the new direction-specific reader implementation.