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A paired test did not establish higher beta SEEG rank repeatability when windows increased from 0.5 to 1.0 seconds in 21 patients

We compared beta SEEG channel ranks from separate 0.5-second and 1.0-second windows before electrical stimulation. We used all 35 recordings from 21 patients in OpenNeuro ds006519 version 1.0.0. We removed edges between bipolar channels that share a physical contact. The patient-weighted mean rank-correlation increase was 0.065. Its 95 percent bootstrap interval was -0.011 to 0.146. The exact paired test gave p = 0.1343. The test did not establish an increase or equivalence. The highest-score channel matched in one of 35 recordings at one second, with 4.8 percent patient-weighted agreement. A planned three-second sensitivity check gave a larger increase. Window position and separation therefore limit interpretation. The package contains event arrays, code, source hashes, figures, graph values, and reproduction instructions. Raw extraction matched all 35 imported arrays. A second complete run matched all result tables and 175 graph files. These data do not validate a brain-computer interface target.

stereoelectroencephalography · beta-band activity · rank repeatability · window duration · intracranial EEG · brain-computer interfaces

Admitted 2 citing publications

References

5
  1. 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 frozen 256 Hz event arrays, source metadata, file manifest, retrieval and extraction code, and physical-contact parser. We verified the imported hashes and repeated extraction from all original source files. We added a new window-duration repeatability analysis in the same patients.

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

    Source SEEG data and metadata for all 35 analyzed recordings.

  3. doi:10.1016/j.neuroimage.2026.121822
  4. supportsdoi:10.1093/braincomms%2Ffcae165

    Provides prior evidence that intracranial EEG network estimates depend on referencing and connectivity choices.

  5. doi:10.1016/0167-2789(92)90102-S

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