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Record W2082058677 · doi:10.1037/a0014477

Behavioral and neurobiological changes in C57BL/6 mice exposed to cuprizone.

2009· article· en· W2082058677 on OpenAlexaff
Haiyun Xu, Yanbo Zhang, Richard W. Clough, Ronald A. Browning, Xin‐Min Li

Bibliographic record

VenueBehavioral Neuroscience · 2009
Typearticle
Languageen
FieldNeuroscience
TopicTryptophan and brain disorders
Canadian institutionsUniversity of Manitoba
FundersSouthern Illinois University
KeywordsPrepulse inhibitionPrefrontal cortexDopaminePsychologyInternal medicineHippocampusEndocrinologyCentral nervous systemNeuroscienceMyelinSchizophrenia (object-oriented programming)MedicinePsychiatry

Abstract

fetched live from OpenAlex

C57BL/6 mice were given 0.2% cuprizone (CPZ) for 2 to 6 weeks while controls ate the same diet without CPZ. At various time points the animals were subjected to behavioral tests and their brains were analyzed. Mice exposed to CPZ for 2 and 3 weeks displayed more climbing behavior and lower prepulse inhibition, suggesting an increase in central nervous system activity and impaired sensorimotor gating. In addition, they showed lower activities of monoamine oxidase and dopamine beta hydroxylase in the hippocampus and prefrontal cortex, and had higher dopamine but lower norepinephrine levels in the prefrontal cortex. Mice exposed to CPZ for 4 to 6 weeks had less social interaction, which is an animal correlate of social withdrawal of patients with schizophrenia. Also, these CPZ-exposed mice showed evident brain demyelination, myelin break down, and loss of oligodendrocytes. At all time points the CPZ-exposed mice spent more time in the open arms of an elevated plus maze and exhibited spatial working memory impairment. These data are in line with evidence from human studies suggesting a putative role of white matter abnormality in the pathophysiology of schizophrenia.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.006
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.099
GPT teacher head0.333
Teacher spread0.234 · 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 designBench or experimental
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

Citations135
Published2009
Admission routes1
Has abstractyes

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