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Record W3161778356 · doi:10.46278/j.ncacn20210429

Cognitive profile in anti-NMDAR encephalitis: Neuropsychological evaluation, rehabilitation, and evolution. A case report

2021· article· en· W3161778356 on OpenAlexvenueno aff
Nuria Montoro-Membila, Ángel Gómez-Camello, Inmaculada Villegas-Rodríguez, Mónica Triviño-Mosquera

Bibliographic record

VenueNeuropsychologie clinique et appliquée · 2021
Typearticle
Languageen
FieldMedicine
TopicAutoimmune Neurological Disorders and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsNeuropsychologyEncephalitisPsychologyExecutive functionsDyskinesiaAnti-NMDA receptor encephalitisPsychiatryHeadachesMedicineCognitionPediatricsDiseaseParkinson's diseaseInternal medicineImmunology

Abstract

fetched live from OpenAlex

Encephalitis associated with antibodies against the N-methyl-D-aspartate receptor (i.e., anti-NMDAR encephalitis) is an immune-mediated disorder mainly affecting girls and young women with ovarian teratoma. The clinical picture of the disease progresses from headaches and seizures, psychopathological symptoms (i.e., anxiety, psychosis, or hyperreligiosity), and neuropsychological deficits (i.e., memory, attention, and language disintegration) into a state of agitation, catatonia, dysautonomia (i.e., abnormal movements due to inappropriate muscular activity) and facial dyskinesia. Reports of the neuropsychological profile and evolution, as well as the neuropsychological rehabilitation in anti-NMDAR encephalitis in the literature are scarce. We present the case of a 21-year-old woman diagnosed with anti-NMDAR encephalitis and we describe the different neuropsychological evaluation tests performed before and after neuropsychological rehabilitation during the acute period. A profile of fronto-subcortical neuropsychological damage was observed, with executive functions and emotional regulation affected.

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)0.002
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
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.048
GPT teacher head0.402
Teacher spread0.354 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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