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Record W2626327940 · doi:10.1080/21646821.2017.1302264

Exploding Head Syndrome in the Epilepsy Monitoring Unit: Case Report and Literature Review

2017· review· en· W2626327940 on OpenAlexaff
Kara Gillis, Marcus Ng

Bibliographic record

VenueThe Neurodiagnostic Journal · 2017
Typereview
Languageen
FieldMedicine
TopicEpilepsy research and treatment
Canadian institutionsUniversity of ManitobaHealth Sciences Centre
Fundersnot available
KeywordsEpilepsyElectroencephalographyMedicineClobazamEpilepsy syndromesPediatricsIntensive care medicinePresentation (obstetrics)PsychiatrySurgery

Abstract

fetched live from OpenAlex

Diagnosis of paroxysmal events in epilepsy patients is often made through video-telemetry electroencephalography in the epilepsy monitoring unit. This case report describes the first-ever diagnosis of exploding head syndrome in a patient with longstanding epilepsy and novel nocturnal events. In this report, we describe the presentation of exploding head syndrome and its prevalence and risk factors. In addition, the prevalence of newly diagnosed sleep disorders through video-telemetry electroencephalography in the epilepsy monitoring unit is briefly reviewed. This report also illustrates the novel use of clobazam for the treatment of exploding head syndrome.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.251
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.004
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.207
GPT teacher head0.456
Teacher spread0.249 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designCase report
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations7
Published2017
Admission routes1
Has abstractyes

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