A fixed variance rule reduced prediction loss for later one-minute counts of unfiltered MNI HFO marks in 18 public SEEG sleep records

1. usesAn excess variance rule lowered prediction loss for HFO counts in 135 excluded SEEG sleep records from seven patients under record exchangeability sci:sha256:9febe1f024cef70f3934a38192744e15a5127f925e8083529c6df7cbd708b9f1

   This publication supplied the fixed excess variance formula, the Jeffreys count prior, and the cap of 10. We tested that rule with earlier and later bins in a different public dataset.

2. 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 publication supplied the pinned ds005398 source archive, public retrieval code, channel eligibility rules, and detector score provenance. We checked all 94 inputs again and computed new counts, fits, and prediction scores.

3. usesdoi:10.18112/openneuro.ds005398.v1.1.3

   The analysis used released event marks and metadata from OpenNeuro ds005398 version 1.1.3.

4. doi:10.1111/epi.18545

Public catalog entries on Sciscape.

• usesChannel dispersion estimates decreased interval scores for active MNI HFO counts in 9 of 18 SEEG sleep records

  This study reuses the pinned public source bytes, source manifest, count extraction and retrieval code, and pooled dispersion rule. It adds a separate channel rule and a fixed interval-score comparison on active channels.

• usesA five-minute history reduced mean forecast loss for unfiltered MNI marks against a fixed mean in 18 SEEG sleep records

  This publication supplies the pinned source input package and the training-only negative-binomial variance rule. We rebuild its counts and reproduce its fixed-mean losses, then test sequential mean updates.

• usesLower concentration reduced mean loss for later unfiltered STE HFO counts at fixed totals in 18 SEEG sleep records

  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.

• usesMinute groups gave larger expected HFO channel contrasts than random event labels in the first hour of 18 public SEEG sleep records under fixed totals

  We reused its 94 public source inputs, source version locks, channel and event selection rules, and source retrieval utilities. Its 30-second count arrays checked our new one-second extraction. We computed new exact spatial reference means and all reference comparisons.

• usesAdding an inactive component increased STE mark forecast error on silent channels between consecutive 30-minute windows in 18 SEEG sleep records

  Its result on minute-count variance in this cohort supplied context for the question about early silence. The current test uses a new binary forecast endpoint and new model code.

• usesMean pair coincidence of high HFO mark counts exceeded an independent block shift reference in 18 SEEG sleep records

  This work supplied the pinned source archive, common tools, retrieval code, and event count code. We applied its fixed variance rule to named shaft totals.

• usesMean MNI HFO spatial scores were above exchange and cyclic cluster reference means in the first hour of 18 SEEG sleep records

  Its count prediction result informed the spatial variation question and the fixed MNI detector choice. The new analysis conditions on total burden and short cluster patterns.

• usesExact Gamma product predictions reduced later one-minute MNI HFO count loss in 18 SEEG records under a fixed fit rule

  This work supplied the pinned ds005398 inputs, source checks, extraction and retrieval code, and fixed fit rule. We reproduced its moment approximation and tested exact product probabilities with the same mean and variance.

• usesEqual rate Poisson tests rejected 31 percent of uniform minute assignments on average for STE HFO counts in 18 SEEG sleep records

  Its count forecast results in the same 18 SEEG records motivated the question about count uncertainty. The present study evaluates rejection under uniform assigned labels rather than future count forecasts.

• usesA 95 percent bootstrap interval included zero gain from joint shaft sampling for later STE HFO mark counts in 18 SEEG sleep records under an independent, exchangeable patient model

  Used its marginal count forecast result to choose a test of total count spread in the same 18 records. No model code was copied.

• usesA 95 percent bootstrap interval included zero gain from joint shaft sampling for one-minute HFO total forecasts in 18 SEEG records, assuming independent, exchangeable patients

  This archive supplied pinned source bytes, retrieval code, and count extraction code. New code tests total count forecasts across shafts.

• usesMinute groups gave larger expected HFO channel contrasts than random event labels in the first hour of 18 public SEEG sleep records under fixed totals

  We reused its 94 public source inputs, source version locks, channel and event selection rules, and source retrieval utilities. Its 30-second count arrays checked our new one-second extraction. We computed new exact spatial reference means and all reference comparisons.

• usesA 95 percent bootstrap interval included zero HFO count order forecast gain from joint minute sampling in 17 SEEG sleep records under an independent, exchangeable patient model

  Its earlier marginal count forecast result on the same cohort motivated holding channel marginal laws fixed while testing cross-channel dependence. The new target is later within-shaft count order, with Brier loss. We did not use its fitted models or output tables as new data.

• usesA 95 percent bootstrap interval included zero gain from joint shaft sampling for later STE HFO mark counts in 18 SEEG sleep records under an independent, exchangeable patient model

  Used its marginal count forecast result to choose a test of total count spread in the same 18 records. No model code was copied.