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q-bio.NC · Neurons and Cognitionstat.ME · Methodology

Independent 0.5 ms endpoint limits preserved the mean STE SOZ occupancy AUC lead over MNI within shafts in 17 first-hour SEEG sleep records

We tested the timing sensitivity of SOZ occupancy rankings in public OpenNeuro ds005398 version 1.1.3. The first hour of 17 SEEG sleep records supplied 474 SOZ versus other-channel pairs on 38 shafts. Each endpoint could change independently by at most 0.5 ms, with fixed marks, labels, and pairs. Mean STE occupancy AUC was 0.653391. Mean MNI occupancy AUC was 0.429774. The sharp STE minus MNI difference bounds were 0.204317 and 0.247792. Every allowed endpoint choice preserved the mean STE lead. Twelve patient lower bounds were positive. The proof and complete endpoint choices show that both limits can be reached. These are finite-record model bounds, not population confidence intervals or detector accuracy estimates. The study uses released annotations and a reused cohort. The package preserves source bytes, code, versions, results, all 83 planned configurations, and reproduction steps. Independent checks passed. An offline run reproduced all 22 numerical files byte for byte.

SEEG · stereoelectroencephalography · high-frequency oscillations · seizure onset zone · occupancy · endpoint sensitivity · AUC · sharp bounds · interval timing

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References

7
  1. usesThe bootstrap interval for added mean log HFO length gain included zero in 17 SEEG patients under independent, exchangeable sampling sci:sha256:33be432a430f9b8c47aeb9f37b29a6099f93a565ceb026abc283c1843c85debb

    The prior added mean log event length study informed the scope of this question. Our fixed-score endpoint audit does not estimate added value after count or contact order adjustment.

  2. usesTransitive 50 ms grouping of released STE marks gave incompatible shaft sets in the first hour of 13 of 18 SEEG sleep records sci:sha256:9b0ac923e9441d51f29833d882af4069d93a5c6db95a7fa2f51902268d15b520

    This source archive and manifest supplied all 94 public source objects. We copied the source bytes and provenance. Fresh pinned public requests matched all objects. We wrote new code.

  3. usesDuration weighting changed STE channel lists without a clear SOZ rank gain in 18 SEEG sleep records sci:sha256:085db5636d91d444b808e954f5729e3ef67b41e10aa238a106e0bd54578c4a24

    The prior duration study established the duration ranking question and the absence of source interval overlap. It guided the nominal reference and the statement of the new contribution: sharp endpoint bounds.

  4. usesMidpoint times lowered the mean MNI HFO order score at 25 ms in 18 SEEG sleep records with fixed onset directions sci:sha256:c69170a10edd17d777325dfdabb03c8ce95ba5c5aa258295c3cc1f60be4d5116

    The prior onset versus midpoint audit informed the timing sensitivity question. The present study tests SOZ ranks under endpoint limits, with fixed marks and channel pairs.

  5. The 95 percent patient interval for mean STE AUC within shafts was above 0.5 in the first hour of 17 SEEG sleep records under independent, exchangeable patient sampling sci:sha256:af5b5ab927df01a4465dd7f63bb7cd921194d0dda5609be020b79257bd26194a

    [Legacy relation: reproduces] We used the same 17-patient within-shaft pair scope. Independent new code reproduced the mean STE count AUC of 0.639257 and MNI count AUC of 0.472516 as reference scores.

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

    Source dataset for the released SEEG annotations, channel labels, and record headers analyzed in this study.

  7. supportsdoi:10.1111/epi.18545

    Source study for the public HFO annotations and clinical labels used by the dataset.

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