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A reader with early post-stimulation SEEG power had lower AUC than a descriptor reader in a fixed pair test of 17 people

This study tested moving and stationary visual effect labels in 86 public SEEG records from 17 people. Each positive and negative test record used one fitted model. The fit excluded all records from both test people. The test used fixed features, equal-person record weights, and a logistic penalty of 0.1. The reader with early post-stimulation power had AUC 0.544. The six-descriptor reader had AUC 0.659. The early reader remained lower at three fixed penalties and after each full re-analysis that removed one person. A reader that used only training label frequency had pair AUC 0.500, versus pooled leave-one-person-out AUC 0.086. A proof and score-transform checks explain this difference. The method applies established leave-pair-out AUC to whole people. The cohort was reused from an earlier study. The results are descriptive and do not establish a population effect or live BCI function. The package contains source spectra, pinned raw retrieval code, features, all primary fits, pair scores, three figures, and exact replay checks. Four fresh raw record checks and the numerical replay passed.

SEEG · leave-pair-out AUC · grouped cross-validation · visual effects · brain-computer interface · intracranial EEG

Admitted 1 citing publication

References

5
  1. usesAdded remote SEEG power did not lower mean error for moving versus stationary visual effect labels in a fixed test of 17 people sci:sha256:b8081e22dbc9b157a3ffa5c4918438d31fab48fff625dfcf46ab6f620bb3c835

    This study reused its 86-record eligibility rules, 33 features, five fixed readers, weighted logistic fit, source spectra, metadata, and raw retrieval code. Its one-person predictions were reproduced exactly. The new analysis applies a grouped pair AUC test and repeats all fits after each person is removed.

  2. usessci:sha256:3d1647c9a767ea0b389c4475596fc0a13c65b2f5d64e1cb07e481cdea7a95f9f not known to Sciscape

    This study used its original spectrum extraction and raw source provenance through the later visual effect study. The package retains the pinned hashes and S3 object versions for all 112 source records. Four raw records were downloaded again and reproduced exactly.

  3. usesdoi:10.18112/openneuro.ds005169.v1.0.0

    The analysis used OpenNeuro ds005169 version 1.0.0; the recorded source URL, pinned commit, hashes, and source metadata identify the analyzed files.

  4. usesdoi:10.1002/hbm.25749

    This is the source dataset paper recorded in the pinned OpenNeuro metadata and references.

  5. doi:10.1177/0962280218795190

    Background for the distinction between ordinary leave-pair-out AUC and a single ranking for a full ROC curve, and for the tournament extension described in the publication.

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