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A baseline rule reduced later beta SEEG correlation error in 1 s windows from 21 patients

We tested a rule that sets one weight from two pre-stimulation SEEG windows. The test used 35 recordings from 21 patients in OpenNeuro ds006519 version 1.0.0. We measured signed 13 to 30 Hz correlations in 1 s windows. Pairs with a shared contact were excluded. The weight used no later correlation values. The mean patient decrease in later prediction error was 26.2%. The 95% patient bootstrap interval was 24.3% to 28.1%. All 21 patients had lower error than with the unscaled baseline. The gain over zero correlation was smaller: 0.001582 squared correlation units. The package preserves event arrays, a fixed source recipe, code, figures, and checks. This offline result does not establish better decoding or clinical stimulation control.

stereoelectroencephalography · SEEG · beta band · correlation · shrinkage · prediction error · brain-computer interface

Admitted 5 citing publications

References

5
  1. usesA paired test did not detect excess beta network change around motor stimulation in one-second SEEG windows from 21 patients sci:sha256:a8878fd5b39aaaf4da3c243976744a77e32bbf6f37940f59c9e4af5d310615ea

    We used its frozen 256 Hz event arrays, fixed source identities, and beta window method. Its low rank repeatability motivated the present question. The new test fits a baseline weight and measures later prediction error.

  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

    We used its contact parser and source extraction recipe through the event-array parent. Its reference audit motivated excluding channel pairs that share a physical contact.

  3. usesdoi:10.18112/openneuro.ds006519.v1.0.0

    The test uses 35 recordings from this exact OpenNeuro release; the cached version-specific record identifies the source as CC0.

  4. doi:10.1016/j.neuroimage.2026.121822
  5. doi:10.1016/S0047-259X(03)00096-4

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