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Record W2103996002 · doi:10.1111/gbb.12155

Diazepam improves aspects of social behaviour and neuron activation in <scp>NMDA</scp> receptor‐deficient mice

2014· article· en· W2103996002 on OpenAlexafffund
Catharine A. Mielnik, Wendy Horsfall, Amy J. Ramsey

Bibliographic record

VenueGenes Brain & Behavior · 2014
Typearticle
Languageen
FieldPsychology
TopicNeuroendocrine regulation and behavior
Canadian institutionsUniversity of Toronto
FundersCanadian Institutes of Health Research
KeywordsClozapineNMDA receptorNeuroscienceStimulationAmygdalaPsychologyCingulate cortexSeptal nucleiDiazepamVentral tegmental areaThalamusSocial identity approachHippocampusc-FosCortex (anatomy)ReceptorInternal medicineChemistryCentral nervous systemMedicineSchizophrenia (object-oriented programming)PsychiatryDopamineGene expression

Abstract

fetched live from OpenAlex

NR1 knockdown (NR1KD) mice are genetically modified to express low levels of the NR1 subunit of N-methyl-D-aspartate (NMDA) receptors, and show deficits in affiliative social behaviour. In this study, we determined which brain regions were selectively activated in response to social stimulation and asked whether differences in neuronal activation could be observed in mice with reduced sociability. Furthermore, we aimed to determine whether brain activation patterns correlated with the amelioration of social deficits through pharmacological intervention. The cingulate cortex, lateral septal nuclei, hypothalamus, thalamus and amygdala showed an increase in c-Fos immunoreactivity that was selective for exposure to social stimuli. NR1KD mice displayed a reduction in social behaviour and a reduction in c-Fos immunoreactivity in the cingulate cortex and septal nuclei. Acute clozapine did not significantly alter sociability; however, diazepam treatment did increase sociability and neuronal activation in the lateral septal region. This study has identified the lateral septal region as a neural substrate of social behaviour and the GABA system as a potential therapeutic target for social dysfunction.

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 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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.827
Threshold uncertainty score1.000

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 head0.019
GPT teacher head0.299
Teacher spread0.280 · 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 teacher head, not a consensus.

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

Citations22
Published2014
Admission routes2
Has abstractyes

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