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Psychiatric aspects of patients with hypothalamic hamartoma and epilepsy

2003· article· en· W2157290260 on OpenAlexaff
Ghislaine Savard, Nadeem H. Bhanji, François Dubeau, Frédérick Andermann, Abbas F. Sadikot

Bibliographic record

VenueEpileptic Disorders · 2003
Typearticle
Languageen
FieldMedicine
TopicEpilepsy research and treatment
Canadian institutionsMcGill UniversityMcGill University Health Centre
Fundersnot available
KeywordsHypothalamic hamartomaGelastic seizureAggressionRage (emotion)EpilepsyMedicineHamartomaPsychiatryPsychologyNeurosciencePrecocious pubertyInternal medicinePathologyHormone

Abstract

fetched live from OpenAlex

Uncontrolled rage, while long associated with hypothalamic hamartoma, has not been as extensively studied as the epilepsy. Rage can be more detrimental to quality of life than seizures. It is now realized that behavior and aggression improve after a complete resection of the hypothalamic hamartoma correlating with a good seizure control post-surgically. We report on the longitudinal psychiatric history of a patient with hypothalamic hamartoma and rage whose severe and refractory epilepsy was ultimately treated by thalamic and intrahamartoma chronic stimulation. Our patient did not exhibit sham rage typical of hypothalamic lesions, but rather multifactorial aggressive bouts typical of challenging behaviors seen with mental retardation. The anxious and social features of the aggression suggest that psychiatric interventions, which have been neglected as the emphasis has been on seizure control, are worthwhile in the overall management of this difficult case.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.005
GPT teacher head0.228
Teacher spread0.222 · 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

Citations32
Published2003
Admission routes1
Has abstractyes

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