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Record W2003064473 · doi:10.1002/hup.1084

Lorazepam modulates orbitofrontal signal changes during emotional processing in catatonia

2009· article· en· W2003064473 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueHuman Psychopharmacology Clinical and Experimental · 2009
Typearticle
Languageen
FieldMedicine
TopicElectroconvulsive Therapy Studies
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsLorazepamCatatoniaOrbitofrontal cortexPsychologyPsychomotor learningFunctional magnetic resonance imagingNeurosciencePrefrontal cortexSchizophrenia (object-oriented programming)PsychiatryCognition

Abstract

fetched live from OpenAlex

OBJECTIVE: Catatonia is a psychomotor syndrome characterized by concomitant emotional, behavioural and motor symptoms. In many cases clinical symptoms disappear almost immediately with administration of lorazepam, which acts on GABA(A) receptors. METHODS: Using functional magnetic resonance imaging (fMRI) we investigated prefrontal activation patterns during emotion processing in catatonic patients with and without lorazepam in a double-blind study design. For emotional stimulation the International Affective Picture System (IAPS) was used. BOLD-signals were determined using regions of interest (ROI) and were statistically compared between groups. RESULTS: For negative emotional pictures lorazepam induced higher signal decreases in the orbitofrontal cortex (OFC) in catatonic patients than in healthy subjects resulting in a regularization of activity patterns comparable to healthy subjects with placebo. CONCLUSIONS: Results indicate disturbances in the functioning of OFC in catatonia. GABAergic modified emotion regulation with decreased inhibition of affective stimuli could lead to the intense emotions reported by many catatonic patients.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.798
Threshold uncertainty score0.836

Codex and Gemma teacher scores by category

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

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 head0.038
GPT teacher head0.425
Teacher spread0.387 · 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