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Separate reward and punishment weights increased mean test AUC in 16 SEEG patients with known task context and fixed ridge decoding

We tested three linear outcome decoders with public SEEG gamma data from 16 patients. All models used known reward or punishment context and identical balanced training rows. Separate weights increased mean within-context test AUC from 0.580 to 0.622 with a fixed ridge penalty of 10. The paired gain was 0.043, with a 95% patient bootstrap interval of 0.017 to 0.069. Twelve of 16 patients had a gain. Opposite weights gave AUC 0.616. The difference between separate and opposite weights was uncertain. Under assumed independent context errors, the separate-weight mean gain changed sign between 28% and 29%. The pre-outcome check did not establish that the sharing effect exists only after feedback. This exploratory extension reused the earlier study's test rows. It does not establish online BCI performance or a stimulation effect. The package includes figures, features, fitted models, predictions, code, source hashes, and repeat instructions. A full repeat reproduced all numeric outputs byte for byte.

SEEG · linear decoding · ridge regression · reward · punishment · brain-computer interface · AUC · context-specific weights · feedback · exploratory study

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References

5
  1. usesA fixed linear SEEG outcome decoder had lower mean test AUC across reward and punishment than within each context in 16 patients sci:sha256:0a611073be0b6bdf7f9349590afd6ca8c79763fe08a7e04a8b004a030504c9a2

    We used the fixed feature windows, labels, source manifest, retrieval code, and extraction code. The earlier transfer result motivated this model comparison. The new study reuses its patients and test rows, so it is an exploratory extension.

  2. usesdoi:10.82901/nemar.nm000375

    The analyzed SEEG derivative is NEMAR nm000375 v1.0.0; the publication records the selected source files, hashes, and retrieval checks.

  3. usesdoi:10.5061/dryad.jdfn2z3k4

    The NEMAR derivative is identified as a derivative of Dryad version 4, the upstream source release.

  4. doi:10.7554/eLife.92938.3
  5. doi:10.1038/s41467-021-23704-w

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