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Record W4396977084 · doi:10.1097/yct.0000000000001016

A Unique Case of SCN2A Variant-Associated Catatonia and Response to Electroconvulsive Therapy

2024· article· en· W4396977084 on OpenAlexaff
Mark Ainsley Colijn, Tyler Pirlot

Bibliographic record

VenueJournal of Ect · 2024
Typearticle
Languageen
FieldMedicine
TopicElectroconvulsive Therapy Studies
Canadian institutionsHotchkiss Brain InstituteUniversity of Calgary
Fundersnot available
KeywordsElectroconvulsive therapyCatatoniaIntellectual disabilityEpilepsyAutismMedicinePsychologyPediatricsPsychiatryCognitionSchizophrenia (object-oriented programming)

Abstract

fetched live from OpenAlex

ABSTRACT: The SCN2A gene encodes a subunit that forms part of voltage-gated sodium channels in the brain. Gain-of-function mutations are associated with epilepsy as well as numerous movement/motor abnormalities. Loss-of-function mutations may also cause epilepsy in addition to a variety of neurodevelopmental anomalies, including autism and intellectual disability. The occurrence of catatonia has also been described in 1 previous report that involved a 4-year-old boy. We describe a 20-year-old intellectually disabled female patient who developed recurrent catatonic symptoms in her teenage years that remitted with electroconvulsive therapy. This is only the second report of catatonia occurring in relation to an SCN2A mutation and the first involving a female. Moreover, this case is unique given our patient's later age of symptom onset and given that her symptoms responded well to electroconvulsive therapy.

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)0.003
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 score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.320
Teacher spread0.307 · 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

Citations5
Published2024
Admission routes1
Has abstractyes

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