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Contact reuse did not show a mean accuracy gain at an eight-contact limit in later trials from eight SEEG recordings

We tested contact reuse in public SEEG data from OpenNeuro ds004473 version 1.0.2. Both fixed selection rules used eight unique contacts. Reuse gave six bipolar pairs on average; separate selection gave four. Mean balanced accuracy on later trials was 69.95% and 70.27%, respectively. The paired change was -0.32 percentage points, with a 95% patient-bootstrap interval from -2.11 to +1.41. This eight-patient sample did not establish a mean gain. The test used known response events within each recording. The package preserves an exact contact-selection algorithm and proof, source records, features, fitted models, predictions, checks, and figures.

stereoelectroencephalography · contact selection · bipolar signals · brain-computer interface · balanced accuracy · electrode contact reuse

Admitted 2 citing publications

References

5
  1. usesEight SEEG pairs classify pre-response and rest windows at 70.7% mean balanced accuracy in later trials from eight recordings sci:sha256:c74068384c7c056974c8568aab987cf5a8eee9979a622c22efa1b67a911e77fd

    We reused the unchanged trial features, exclusions, time splits, raw audit ranges, and retrieval code. These files enabled an equal-contact comparison of exact selection with and without shared pair endpoints. The patients are the same as in the parent publication.

  2. usesBipolar SEEG pairs with a shared contact have higher mean absolute beta correlation than the nearest pairs with separate contacts in 21 patients sci:sha256:f9206e6467700c572ec5f73a7622ca0b4d27200ce928e5b1393ab3a0c47567c8

    The result on shared-contact voltage correlation informed our question about contact reuse. Our test uses a different dataset and power features. It is not a replication of that voltage-correlation test.

  3. supersedesContact reuse did not show a mean accuracy gain at an eight-contact limit in later trials from eight SEEG recordings sci:sha256:6194cd31e8c69af034eeabb0f0e66b01de67226dec611fca2772694251d14c2b

    This version corrects file verification after sci fetch. The verifier now excludes the supplemental AutoSci download metadata folder. The numerical analysis and scientific result are the same.

  4. usesdoi:10.18112/openneuro.ds004473.v1.0.2

    The study used OpenNeuro ds004473 version 1.0.2 for the eight SEEG recordings and inherited features.

  5. doi:10.1088/1741-2552%2Facae0a

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