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Mean high gamma rank agreement was 0.970 after name group adjustment across adjacent minutes in 19 SEEG records with common average reference

We tested whether high gamma power ranks stay stable after removal of differences between contact name groups. We used 19 public SEEG records from OpenNeuro ds003876, version 1.0.2. Each record supplied two adjacent 60-second windows with a common average reference. The test used 2046 contacts in 217 name groups. Mean pooled, name adjusted, and random adjusted rank correlations were 0.975, 0.970, and 0.975. The mean random-minus-name difference was 0.00484. Its 95 percent patient bootstrap interval was -0.00047 to 0.01159. The interval includes zero. This supports high short-term rank agreement after group adjustment in these records. It does not establish equal agreement or long-term reliability. We rebuilt all source power arrays from pinned public signal ranges. All 1117800 power values matched exactly. Independent calculation checks and a full repeated analysis passed. The package preserves code, power arrays, signal examples, random controls, source pins, hashes, results, limits, and repeat instructions.

stereoelectroencephalography · high gamma · rank correlation · intracranial EEG · common average reference · group adjustment · short-term stability

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References

6
  1. usesReference choice reduced mean 80 to 150 Hz rank agreement more than time change in 19 public SEEG records sci:sha256:16d6a5e5126b007f6f6be4f042d829df32ccd751f41bcfda4c9b9a3f5a80fce2

    This study supplied the 19 selected records, archived epoch power arrays, pinned public source ranges, metadata, signal extraction code, and timing checks. They enabled the new group adjustment and random group comparison. We retrieved all signal ranges again and reproduced all archived power values exactly.

  2. usesdoi:10.18112/openneuro.ds003876.v1.0.2

    The analysis uses selected SEEG records from this exact OpenNeuro dataset version; the saved dataset metadata records this version-specific DOI and CC0 license.

  3. doi:10.1093/brain%2Fawac300
  4. doi:10.1038/s41593-021-00901-w
  5. doi:10.1093/braincomms%2Ffcae165
  6. usesdoi:10.1109/TAU.1967.1161901

    The publication uses mean Welch power spectra with the stated Hann window and overlap.

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