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Predisposed Susceptibility and Partial Seizure Disorder

2001· article· en· W4232604853 on OpenAlexaff
Jun Wada

Bibliographic record

VenueEpilepsia · 2001
Typearticle
Languageen
FieldMedicine
TopicEpilepsy research and treatment
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsEpileptogenesisKindlingEpilepsypartial seizuresPsychologyKindling modelPartial epilepsyElectroencephalographyNeuroscienceComplex partial seizuresTemporal lobePediatricsMedicine

Abstract

fetched live from OpenAlex

Many partial epilepsy patients appear to begin their illness with a completed form of electroclinical expression that will become habitual without further change, even when medication is discontinued. Another group of patients may begin their illness with a maximal electroclinical expression of generalized convulsive seizures. Their condition then may regress to a nonconvulsive form, with a subsequent intermittent breakthrough of convulsive seizures, particularly when medication is reduced or discontinued. By contrast, patients whose electroclinical expression evolves sequentially over an extended period from nonconvulsive to convulsive appear to represent a distinct minority. Our study of presurgical seizure patterns made comparisons between objectively and historically documented patterns in 60 patients who became seizure free after temporal lobectomy, and confirmed our clinical impression that partial epilepsy announces its onset with a completed form that subsequently becomes habitual. This observation raises the question of the validity of kindling as a model of partial seizures, because relentless electroclinical progression with eventual development of a contralateral positive transfer effect, reminiscent of secondary epileptogenesis, is the cardinal feature of kindling. Evidence of secondary epileptogenesis in humans is scarce and is the subject of debate. Furthermore, the kindling model suggests that a permanent change of brain function occurs as a consequence of repeated seizures, but this tenet is not consistent with the well-recognized remission that occurs in some partial onset epilepsy patients. Thus, kindling as a model for the human condition faces two conceptual difficulties: lack of overt “progression” in patients with partial epilepsy, and failure to accommodate the clinical reality of remission (i.e., the “erosion” of epileptogenesis). The kindling phenomenon interacts with both ontogeny and phylogeny. Ontogenetic studies of kindling have generated new understanding of the developmental aspects of partial epilepsy. By contrast, phylogenetic studies of kindling are limited, because of the obvious technical challenges of studies using higher mammals. Controversies about the clinical relevance of kindling may arise from extrapolation of data derived primarily from the rodent temporal limbic system. The clinical relevance of kindling will depend on phylogenesis and the brain structures that are involved in kindling in the model system and in patients. Brain anatomy differs significantly among species. Findings derived from animals phylogenetically closer to humans are more likely to be clinically relevant. Several partial epilepsies that currently are known to have a benign course originate in the neocortex. This presentation reviews selectively our observations on kindling in five different primate species. Analysis of the predisposition to kindling conferred by certain species and certain brain sites provides insight into the diverse courses and neuroplastic consequences of partial seizure disorders in humans.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score0.074

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0220.002

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 head0.018
GPT teacher head0.300
Teacher spread0.282 · 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

Citations0
Published2001
Admission routes1
Has abstractyes

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