MétaCan
Menu
Back to cohort

Insights into the sequence of structural consequences
 of convulsive status epilepticus: A longitudinal MRI study

2008· article· en· W2071392495 on OpenAlexafffund
Gaolang Gong, Feng Shi, Luis Concha, Christian Beaulieu, Donald Gross

Bibliographic record

VenueEpilepsia · 2008
Typearticle
Languageen
FieldMedicine
TopicEpilepsy research and treatment
Canadian institutionsUniversity of Alberta
FundersCanadian Institutes of Health ResearchFondation pour la Recherche MédicaleUniversity of Alberta
KeywordsStatus epilepticusFornixDiffusion MRIHippocampusMagnetic resonance imagingHippocampal formationHippocampal sclerosisAtrophyMedicineEpilepsyNeurosciencePsychologyTemporal lobePathologyRadiologyInternal medicine

Abstract

fetched live from OpenAlex

While acute hippocampal magnetic resonance imaging (MRI) changes have been demonstrated, the long-term structural consequence of status epilepticus remains unclear. Also the timing of previously reported fornix abnormalities in patients with mesial temporal sclerosis (MTS) is unknown. We report longitudinal volumetic MRI and diffusion tensor imaging (DTI) findings of the hippocampus and fornix in a patient following status epilepticus. Left hippocampal atrophy demonstrated progression beyond 6 months poststatus epilepticus while the right hippocampus and bilateral fornices demonstrated stable volumetric and diffusion abnormalities throughout the study. Our findings provide evidence that status epilepticus can induce permanent hippocampal damage with the delayed timing of the structural changes being consistent with programmed cell death.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.048
GPT teacher head0.337
Teacher spread0.290 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations24
Published2008
Admission routes2
Has abstractyes

Explore more

Same venueEpilepsiaSame topicEpilepsy research and treatmentFrench-language works237,207