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Role of corticotropin‐releasing factor in the median raphe nucleus in yohimbine‐induced reinstatement of alcohol seeking in rats

2011· article· en· W1589359243 on OpenAlexaff
Anh D. Lê, Douglas Funk, Kathleen M. Coen, Zhaoxia Li, Yavin Shaham

Bibliographic record

VenueAddiction Biology · 2011
Typearticle
Languageen
FieldNeuroscience
TopicStress Responses and Cortisol
Canadian institutionsUniversity of TorontoCentre for Addiction and Mental Health
FundersNational Institute on Alcohol Abuse and Alcoholism
KeywordsYohimbineAntagonistAlcoholSelf-administrationDorsal raphe nucleusEndocrinologyMedian raphe nucleusInternal medicineRaphe nucleiMedicinePharmacologyReceptorChemistrySerotoninSerotonergicBiochemistry

Abstract

fetched live from OpenAlex

The pharmacological stressor yohimbine increases ongoing alcohol self-administration and reinstates alcohol seeking in rats. This effect is attenuated by systemic injections of a corticotropin-releasing factor (CRF) antagonist. The brain sites involved in CRF's role in yohimbine-induced alcohol taking and seeking are unknown. We report that injections of the CRF receptor antagonist d-Phe CRF into the median raphe nucleus (MRN) attenuated yohimbine-induced reinstatement of alcohol seeking but had no effect on yohimbine-induced increases in alcohol intake during ongoing self-administration. Results indicate an important role of MRN CRF receptors in yohimbine-induced reinstatement of alcohol seeking but not yohimbine-induced increases in alcohol intake.

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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.072
GPT teacher head0.301
Teacher spread0.229 · 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

Citations43
Published2011
Admission routes1
Has abstractyes

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