Non-Herpetic Acute Limbic Encephalitis: A New Subgroup of Limbic Encephalitis?
Bibliographic record
Abstract
Non-herpetic acute limbic encephalitis (NHALE) was found at 1994 during the survey of herpes simplex encephalitis (HSE) in the Kyushu district, Japan. NHALE is characterized by a lack of evidence of the herpes simplex virus (HSV) genome or HSV antibody, nonparaneoplastic limbic encephalitis, and magnetic resonance imaging (MRI) abnormalities in bilateral medial temporal lobes such as the hippocampi and amygdalae Etiologies of NHALE consist of various causes, including viral origins, autoimmune disorders, and several anti-neural antibodies. Since Urgent Conference on Non-Herpetic Limbic Encephalitis, at Ichikawa City, Japan, November 2002, many cases have been accumulated as viral related acute limbic encephalitis, autoantibody-mediated acute limbic encephalitis, paraneoplastic limbic encephalitis or encephalopathy (Yuasa et al, 2003). Cerebrospinal fluid (CSF) shows a mild pleocytosis with increase of pressure, mild increase of protein, and sometimes, a lack of the pleocytosis. The CSF level of interferon- (IFN-) is unchanged with an increase of interleukin (IL)-6 Among them, NHALE patient group with the onset symptoms of abnormal behavior and incoherence, and the detection of anti-glutamate receptor (GluR2 NR2B) antibodies is gaining attention This NHALE type is indicated to form a new subgroup of acute limbic encephalitis or encephalopathy. GluR2 is a subunit of the Nmethyl-D-asparate (NMDA) glutamate receptor. NHALE overlaps clinically to anti-NMDA receptor (NR1+2A) encephalitis, but the NMDA encephalitis is usually associated with ovarian teratoma In this review, two NHALE patients with positive anti-GluR2 antibody are briefly described, and the pathogenesis of NHALE, clinical features, differential diagnosis, prognosis, and sequelae are discussed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".