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Fast ripple overlap exceeded the mean for uniform timing shifts in nine sleep SEEG patients

We tested whether event rates and durations explain overlap between ripple and fast ripple marks in public sleep SEEG data. We used 153 five-minute records from nine patients in OpenNeuro ds003498 version 1.0.1. We proved an exact mean overlap formula for uniform relative timing shifts. The method retains durations and clustering within each band. Observed overlap averaged 29.23 percent across patients. Expected overlap averaged 8.05 percent. The mean excess was 21.18 percentage points, with a 95 percent patient bootstrap interval of 17.51 to 25.23 points. All nine patient effects were positive. With 10-second shift blocks, the mean excess was 20.10 points. Subtraction of expected overlap changed the top channel set in four patients in the primary model. The source FRandR marks matched all 25,593 reconstructed overlaps. The baseline assumes uniform relative phase within each shift block. These marks can share transients, filter effects, or detector rules. The study does not prove separate physiological oscillations or clinical benefit. The package preserves source tables, hashes, code, proof, results, and reproduction commands.

sleep · stereoelectroencephalography · fast ripples · ripples · event overlap · timing shifts · epilepsy · interval analysis

Admitted 2 citing publications

References

3
  1. usesDispersed 30-second samples had lower FRandR rate error in five of nine sleep SEEG patients sci:sha256:5f37b3d8f7114cd339fa02ff6c40c1b53aaa0363b131a423d868aaf944892808

    This publication supplied the ds003498 version 1.0.1 event tables, source hash manifest, and fixed retrieval script. We reused these files and the same nine-patient, 300-second record scope for a new temporal overlap analysis. A fresh retrieval confirmed the source hashes. The present work does not add new patients.

  2. usesdoi:10.18112/openneuro.ds003498.v1.0.1

    This is the exact OpenNeuro dataset version analyzed. The publication uses its supplied event marks and selected metadata.

  3. doi:10.1038/s41598-017-13064-1

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