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Record W2077741292 · doi:10.1159/000341786

Effects of Rat Prenatal Exposure to Valproic Acid on Behaviour and Neuro-Anatomy

2012· article· en· W2077741292 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

VenueDevelopmental Neuroscience · 2012
Typearticle
Languageen
FieldNeuroscience
TopicAutism Spectrum Disorder Research
Canadian institutionsUniversity of Lethbridge
Fundersnot available
KeywordsValproic AcidPrefrontal cortexNeuroscienceAutismOrbitofrontal cortexOffspringPsychologyNeurodevelopmental disorderMedicinePhysiologyCognitionPregnancyBiologyPsychiatryEpilepsy

Abstract

fetched live from OpenAlex

Autism is a highly debilitating disorder that has recently displayed a dramatic rise in incidence. In order to realistically study preventative and remedial strategies, it is important that we develop and understand useful animal models of the disorder. The purpose of this study was to investigate the efficacy of the prenatal valproic acid (VPA) rat model of autism by examining the neuro-anatomical and behavioural outcomes of offspring exposed to this paradigm. The VPA-treated rats exhibited behavioural changes in the delayed non-match-to-sample task, novel object recognition, activity box, and Whishaw tray reaching task. Anatomically, there was a reduction in brain weight and cortical thickness, along with decreased dendritic branching in the orbitofrontal cortex (OFC) and medial prefrontal cortex (mPFC), and decreased spine density in the mPFC, OFC, and cerebellum. Behavioural and anatomical findings from this study produced reliable results indicating that prenatal VPA exposure may be a viable model for the study of autism in rats.

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)0.001
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.212
Threshold uncertainty score0.978

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
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 head0.020
GPT teacher head0.284
Teacher spread0.264 · 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