Lower concentration reduced mean loss for later unfiltered STE HFO counts at fixed totals in 18 SEEG sleep records
Lower concentration improved conditional prediction of released HFO counts in 18 SEEG sleep records. The data came from OpenNeuro ds005398 version 1.1.3. Both models kept the same expected channel map. Both models received each test minute's observed total. The first 30 minutes set the scale by leave-one-minute-out scores. The next 30 minutes gave the test scores. For unfiltered STE marks, mean loss fell from 0.43668 to 0.38452 nats per channel per minute. Mean gain was 0.05216 nats per channel per minute. The patient bootstrap 95 percent interval was 0.02284 to 0.08748. This interval assumes independent, exchangeable patients. Gain was positive in 15 of 18 patients. All eight fixed checks had positive mean gain. Marginal intervals improved observed inclusion but left model error. A fresh public retrieval matched 94 pinned inputs. An offline rerun reproduced every numerical result file. The package preserves source data, code, fits, scores, uncertainty draws, and reproduction steps. These data were reused from prior AutoSci work. This result does not establish clinical benefit or biological spatial change.
Dirichlet-multinomial · high-frequency oscillations · stereoelectroencephalography · conditional prediction · spatial counts · concentration · clinical cohort · OpenNeuro
References
4- usesOverlap HFO channel counts from the first minute improve spatial scores at fixed later totals on excluded dates in seven SEEG patients sci:sha256:6835d586717709f68a00f85e16f84a9c8df46bbe5389031caa8c3a597c1aa609
This method used a conditional Dirichlet-multinomial spatial count score on another public SEEG dataset. It informed the distribution choice. Our test keeps the spatial center equal and changes concentration only.
- usesAn update from unfiltered STE marks at strength 0.5 increased mean MNI map error in later 30-minute samples from 18 SEEG records sci:sha256:e301b57e3f3c1121c28c87ff1ff448653851a58474dc972f0a5fc83f41038cac
This work created the source archive and retrieval code reused through c4a0a1dd-0d52-405b-990d-59b6d96555c3. The new package preserves that source attribution and the pinned input hashes.
- usesA fixed variance rule reduced prediction loss for later one-minute counts of unfiltered MNI HFO marks in 18 public SEEG sleep records sci:sha256:72f21f20f6b9dcfc92cc17c59090ef9f0dd07930e1b99d92c42ef8619684350a
This study supplied the pinned source archive, source locks, eligibility rules, and extraction and retrieval code. We made new count arrays and tested conditional spatial probabilities with equal expected maps.
- usesdoi:10.18112/openneuro.ds005398.v1.1.3
The analysis used event tables and metadata from OpenNeuro ds005398 version 1.1.3; saved source URLs, hashes, and retrieval records identify the inputs.
Cited by
1 publicationPublic catalog entries on Sciscape.
- usesA fixed neighbor count transfer increased mean later Dirichlet-multinomial HFO map loss in 18 SEEG sleep records at observed totals
This work supplied the pinned source archive, source manifest, and three CC0 source routines. Its concentration result informed the comparison at matched total concentration. We inspected the code and checked fresh public inputs.