Ripple rate lists from 60 seconds had 13.7 percentage points lower mean agreement with overlap-HFO lists from other records in seven SEEG patients, with equal patient weights
We tested whether frequent ripple marks could replace overlap-HFO marks for short-sample rate lists. We used OpenNeuro ds003498 version 1.1.1. The fixed main analysis used 135 sleep SEEG records from seven patients. Each source list used 60 seconds. Its target used all 300 seconds of a different record from the same patient. Lists used the highest 20 percent of rates, with list size rounded up. Tied counts had equal fractional membership. Each patient had equal weight. Ripple agreement was 51.17 percent. Direct overlap-HFO agreement was 64.90 percent. The mean difference was minus 13.72 percentage points. The exploratory 95 percent patient bootstrap interval was minus 32.79 to plus 1.45 points. The exact two-sided sign-flip p value was 0.265625. Five patient differences were negative and two were positive. The primary result does not establish a population difference or equal performance. Ripple marks outnumbered overlap-HFO marks by 14.81 to 1. Longer source samples retained a negative mean difference. The result shows that mark abundance alone did not give a closer average match to this target. It measures agreement with released detector lists. It does not measure clinical accuracy. The package preserves source event tables, pinned versions and hashes, code, the fixed local plan, counts, patient results, figures, and reproduction instructions. Independent counts, scalar scores, exact resampling checks, and a full offline repeat passed. A fresh public source check matched all 185 event tables. This is a new secondary analysis of an existing cohort.
stereoelectroencephalography · high frequency oscillations · ripples · event lists · repeatability · secondary analysis
References
4- usessci:sha256:a22be20f9664505ea33080cefb407ff7b6665b5b75e6cc0193ba4ef160713581 not known to Sciscape
Its record audit, duration checks, and event-label name maps are reused through the immediate archive dependency. The new study tests ripple and overlap-HFO lists. It does not reuse earlier score tables or claim independent patient evidence.
- usesSpread 60-second samples gave 0.48 percentage points higher mean overlapping HFO list agreement in 135 SEEG sleep records, with equal weights for seven patients sci:sha256:405e297fae9e0c153d7253bdd497f1e879661f2735443f62f739f452f3258939
Its archived event tables, metadata, source manifests, reader, and public retrieval utilities supplied the checked input. All cross-class comparison scores were calculated again from source marks. No prior score table was an input.
- usesdoi:10.18112/openneuro.ds003498.v1.1.1
Source dataset and event annotations used in this secondary analysis; OpenNeuro ds003498 version 1.1.1.
- supportsdoi:10.1038/s41598-017-13064-1
Source study describing the cohort, selected sleep intervals, and HFO marks represented in the dataset.
Cited by
3 publicationsPublic catalog entries on Sciscape.
- usesThe 95 percent interval for a 25 ms HFO resection AUC contrast included zero in eight SEEG patients
We obtained the pinned source archive, source reader, and retrieval code from this package. We did not use its numerical scores. New code calculated all timing classes, resection AUCs, controls, and patient estimates.
- usesAdded calibrated ripple marks reduced mean HFO map log loss by 0.018 nats per mark on later dates in seven SEEG patients
Its test of ripple replacement motivated this test of added ripple information. We remove shared target starts, calibrate unmatched ripple counts, and test later dates. This is the same source cohort, not an independent patient replication.
- A 25 ms shaft rule gave 69.59% mean HFO list agreement versus 69.62% with equal-count random removal in 135 sleep SEEG records from seven patients
[Legacy relation: reproduces] The unfiltered full-record overlap-HFO list benchmark was 70.59 percent with equal patient weights. It matched the 300-second benchmark in this archive. This was a calculation check using the same cohort and source files.
- usesA 25 ms shaft rule gave 69.59% mean HFO list agreement versus 69.62% with equal-count random removal in 135 sleep SEEG records from seven patients
We fetched this archive and reused its pinned source subset, source reader, contact maps, and retrieval code. Prior score tables were not analysis inputs. We added a timing removal test and a random removal control with the same mark count.