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Record W2116083641 · doi:10.1111/epi.12849

Neurocysticercosis: A natural human model of epileptogenesis

2014· review· en· W2116083641 on OpenAlexaff
Theodore E. Nash, Siddhartha Mahanty, Jeffrey A. Loeb, William H. Theodore, Alon Friedman, Josemir W. Sander, Gagandeep Singh, Ésper A. Cavalheiro, Óscar H. Del Brutto, Osvaldo Massaiti Takayanagui, Agnès Fleury, Manuela Verástegui, Pierre‐Marie Preux, Silvia M. Montano, E. Javier Pretell, A. Clinton White, Armando Gonzales, Robert H. Gilman, Héctor H. García

Bibliographic record

VenueEpilepsia · 2014
Typereview
Languageen
FieldMedicine
TopicParasitic infections in humans and animals
Canadian institutionsDalhousie University
FundersNational Center for Advancing Translational SciencesNational Institute of Allergy and Infectious DiseasesFogarty International CenterNational Institutes of HealthWellcome Trust
KeywordsEpileptogenesisNeurocysticercosisEpilepsyNeuroscienceMedicinePathologyIntensive care medicinePsychology

Abstract

fetched live from OpenAlex

OBJECTIVE: To develop a better understanding of mechanisms of seizures and long-term epileptogenesis using neurocysticercosis. METHODS: A workshop was held bringing together experts in epilepsy and epileptogenesis and neurocysticercosis. RESULTS: Human neurocysticercosis and parallel animal models offer a unique opportunity to understand basic mechanisms of seizures. Inflammatory responses to degenerating forms and later-stage calcified parasite granulomas are associated with seizures and epilepsy. Other mechanisms may also be involved in epileptogenesis. SIGNIFICANCE: Naturally occurring brain infections with neurocysticercosis offer a unique opportunity to develop treatments for one of the world's most common causes of epilepsy and for the development of more general antiepileptogenic treatments. Key advantages stem from the time course in which an acute seizure heralds a start of the epileptogenic process, and radiographic changes of calcification and perilesional edema provide biomarkers of a chronic epileptic state.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.964
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.095
GPT teacher head0.408
Teacher spread0.313 · 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 designNot applicable
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

Citations85
Published2014
Admission routes1
Has abstractyes

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