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Periodic Lateralized Frontal Epileptiform Discharges with Ipsilateral Epilepsia Partialis Continua

2007· article· en· W2019625318 on OpenAlexaff
G. Bryan Young, Warren T. Blume

Bibliographic record

VenueEpilepsia · 2007
Typearticle
Languageen
FieldMedicine
TopicEpilepsy research and treatment
Canadian institutionsWestern University
Fundersnot available
KeywordsEpilepsia partialis continuaNeuroscienceEpilepsyMedicinePsychologyStatus epilepticus

Abstract

fetched live from OpenAlex

PURPOSE: Lateralized clonic jerks of the extremities during epileptic seizures usually arise from the contralateral rolandic cortex. In our exceptional case one-sided extremity twitches related to epileptiform activity in the ipsilateral frontal lobe. METHODS: Case study with clinical-electroencephalographic correlation. RESULTS: A 47-year-old man suffered destruction of most of his right cerebral hemisphere, including the perirolandic region. Epilepsia partialis continua (EPC) ensued, with clonic jerks of the proximal right upper and lower limbs temporally related to periodic lateralized epileptiform discharges (PLEDs) from the parasagittal region of the right frontal lobe with a variable time interval over 100 ms. Sectioning of the subcortical callosal and projection connections of the frontal lobe abolished the clonic jerks. CONCLUSIONS: We propose the ipsilateral EPC arose from projections from the supplementary motor region to the medullary reticular formation to account for the long and variable latency between PLEDs and jerks.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.013
GPT teacher head0.286
Teacher spread0.273 · 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 designCase report
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

Citations8
Published2007
Admission routes1
Has abstractyes

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