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Beta power ranks have higher agreement than beta network strength ranks between 3 s baselines in eight SEEG patients

We compared beta power and beta network strength ranks between separate baseline recordings. The source was OpenNeuro ds006519 version 1.0.0. We used 22 recordings from all eight patients with repeated recordings. Each of the 24 record pairs used the same matched bipolar channels for both measures. We removed network edges with a shared contact. Mean patient Spearman agreement was 0.851 for power and 0.257 for strength. The paired difference was 0.594, with a patient bootstrap 95 percent interval of 0.410 to 0.751. All eight patient differences were positive. The exact two-sided sign-flip p value was 0.0078125, under independent and symmetric patient null differences. The top-five overlap was 62.3 percent for power and 19.2 percent for strength. Fresh raw-source extraction reproduced all inputs and results. The package is a test set for channel-map stability. It does not establish task decoding, a useful stimulation site, or stability between days.

stereoelectroencephalography · intracranial EEG · beta power · network strength · rank agreement · channel-map stability · reproducibility

Admitted 4 citing publications

References

5
  1. usesA paired test did not establish higher beta SEEG rank repeatability when windows increased from 0.5 to 1.0 seconds in 21 patients sci:sha256:a7dacb173b26efb78dae0015aa13b67255ee4c540f2aff00b86a64af83d72ce6

    Its short-window within-record network-rank study informed the new question about agreement across separate recordings. No signal arrays or code were imported from this 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

    This study uses the checked event arrays, fixed source manifest, source metadata, contact parser, and retrieval and extraction code. Fresh extraction reproduced all 22 input files at the array level. It adds a matched cross-record comparison of power and network strength ranks.

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

    The analyzed recordings were retrieved from OpenNeuro ds006519 version 1.0.0; the source files passed recorded size and SHA-256 checks.

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

    This study is cited for the specific background claim that intracranial EEG network results depend on referencing and connectivity choices.

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