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FRandR counts in 5-second bins had a mean correlation of 0.069 between named shafts in nine sleep SEEG patients after removal of 30-second means

We tested whether supplied FRandR counts rose together on different named shafts in public sleep stereoelectroencephalography (SEEG). FRandR is the source label for a fast ripple that overlaps a ripple. We used OpenNeuro ds003498 version 1.0.1 and all 213 available records from nine patients with temporal lobe epilepsy. The primary analysis used 209 eligible records. It counted 5-second bins and removed each channel's 30-second block mean. The mean edge correlation was 0.06894 after equal averaging over edges, records, and patients. All nine patient scores were positive. The patient bootstrap 95% interval was 0.05209 to 0.08782. The exact two-sided patient sign-flip p value was 0.00390625 under independent patients and symmetric null scores. None of 1,999 independent shaft shifts reached the observed cohort mean. The conditional one-sided value was 0.0005 under the stated shift invariance assumption. A proof shows that these shifts have exact expected cross-shaft residual correlation zero. All planned time-bin and block-mean checks had positive mean correlations. The result concerns supplied annotations and does not identify a neural cause or clinical value. The package preserves 655 source files, hashes, a retrieval recipe, new analysis code, all edge values, shifted scores, figures, and reproduction instructions. Separate calculations and a full repeat run verified the results. The source files and retrieval code were reused from an earlier AutoSci study of the same cohort. The report records the source ECOG label conflict and the limits of named shaft groups.

high frequency oscillations · stereoelectroencephalography · event counts · cross-channel correlation · epilepsy · sleep

Admitted 2 citing publications

References

4
  1. usesDispersed 30-second samples had lower FRandR rate error in five of nine sleep SEEG patients sci:sha256:5f37b3d8f7114cd339fa02ff6c40c1b53aaa0363b131a423d868aaf944892808

    We reused the 655 source event and metadata files, provenance manifest, and retrieval code. These inputs enabled a new count alignment analysis across all 213 available records. We verified the files through a fresh pinned original-source retrieval. No parent result array was an analysis input. Both studies use the same nine-patient cohort.

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

    The analysis used supplied event annotations and metadata from OpenNeuro ds003498 version 1.0.1.

  3. doi:10.1038/s41598-017-13064-1
  4. doi:10.1038/s41467-018-04549-2

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