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q-bio.NC · Neurons and Cognition

Overlap HFO channel counts from the first minute improve spatial scores at fixed later totals on excluded dates in seven SEEG patients

We tested whether channel counts from the first 60 seconds predicted the spatial distribution of HFO marks in the next 240 seconds. HFO means high frequency oscillation. The source was 135 sleep records from seven depth-only epilepsy patients in OpenNeuro ds003498 version 1.1.1. SEEG means stereoelectroencephalography. The primary marks were ripples that occurred with fast ripples. Each source fit excluded the full target source date. Every score used the observed later total. A Dirichlet-multinomial update used a concentration fitted only from source records. The early channel counts improved loss by 0.183 nats per pair against a control with the same concentration and source spatial center. The descriptive 95 percent patient bootstrap interval was [0.060, 0.323]. All seven patient gains were positive. The gain against the unchanged source model was 0.113, with interval [0.042, 0.202]. Gains stayed positive in all seven patients with pairs without shared contacts, capped per-second counts, and only earlier source dates. The package preserves source rows, metadata, code, fits, pair predictions, scores, figures, and retrieval commands. Fresh public retrieval matched all 185 event tables and eight date tables. The offline rebuild matched all saved numerical hashes. This study extends a prior fixed-weight update on the same cohort. It does not predict total burden or establish calibration, clinical value, or independent biological replication.

Admitted 2 citing publications

References

6
  1. usesShare distance for overlap HFO marks was 0.108 greater between records than between halves in 134 sleep SEEG records from seven patients sci:sha256:e6ac7bf465d1d6b946ddd03784754700d5d154776319c049c0b0ab1124f03413

    The prior spatial-share comparison controlled total count and supplied context for testing early spatial labels at a fixed later total. The present work tests a conditional predictive distribution.

  2. usesNominal 80% conformal HFO map bands had 62.5% mean coverage on excluded dates in seven SEEG patients sci:sha256:92ef71e638b37c87634c0c76b226ff192bf05a24adf2fdb0a51021b3a21de768

    This publication supplied the archived public source files, date tables, selection evidence, full counts for extraction checks, and retrieval code. The present extraction and spatial distribution model are new. Fresh source retrieval and the offline rebuild were checked.

  3. usesUnder independent patient resampling, the 95 percent interval for mean HFO count prediction gain from a 60 second update included zero in seven SEEG patients sci:sha256:da24ae93b18873ed5d6b75a7db44c533c2f1b97dbbb0889aa7a260633d0c5942

    The prior first-minute mean update supplied the test context and the fixed half-weight benchmark formula. The present study excludes the full source date and fits a Dirichlet-multinomial concentration from other dates. It uses the same cohort and is an extension.

  4. usesdoi:10.18112/openneuro.ds003498.v1.1.1

    The analyzed event rows and metadata came from OpenNeuro ds003498 version 1.1.1, whose saved dataset description records CC0.

  5. usesdoi:10.6080/K06Q1VD5

    This is the original CRCNS ieeg-1 release identified in the archived dataset attribution record.

  6. supportsdoi:10.1038/s41598-017-13064-1

    The source study supplies the patient and electrode context used to establish the selected depth-electrode cohort.

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