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Record W2613298754 · doi:10.15173/m.v1i24.831

GSK-3 Beta Inhibition More Strongly Blocks Acquisition Than Expression of Amphetamine-produced Conditioned Place Preference in Rats

2013· article· en· W2613298754 on OpenAlexaffvenue
Rebekah Wickens, Richard J Beninger

Bibliographic record

VenueThe Meducator · 2013
Typearticle
Languageen
FieldNeuroscience
TopicMemory and Neural Mechanisms
Canadian institutionsQueen's University
Fundersnot available
KeywordsAmphetamineConditioned place preferenceBETA (programming language)PreferencePsychologyPharmacologyBiologyNeuroscienceChemistryComputer scienceAddictionMathematicsDopamineStatistics

Abstract

fetched live from OpenAlex

Dopamine (DA) has been implicated in behavioural sensitization and incentive learning. The signaling molecule glycogen synthase kinase-3β (GSK-3β), activated downstream of DA D2-like receptors, affects DA-mediated behaviours. For example, inhibition of GSK-3β attenuates locomotor sensitization to psychomotor stimulant drugs. Few studies have examined the effects of GSK-3β inhibition in incentive learning paradigms. We examined the effects of GSK-3β inhibition on incentive learning produced by amphetamine (1.5 mg/kg) in the conditioned place preference (CPP) paradigm. The selective GSK-3 inhibitor SB 216763 was administered intraperitoneally to male Wistar rats at doses of 1.0, 2.0, and 2.5 mg/kg during the acquisition or expression phase. Due to studies more strongly implicating signaling molecules in acquisition rather than expression of learning, we hypothesized a block of acquisition of CPP at doses that fail to block expression of CPP. Results supported this hypothesis: the 1.0 mg/kg dose of SB 216763 failed to block either acquisition or expression of CPP; the 2.0 mg/kg dose blocked acquisition, but not expression of CPP; and the 2.5 mg/kg dose blocked both acquisition and expression of CPP. These results indicate that inhibiting GSK-3β may attenuate incentive learning differentially in acquisition versus expression of conditioning. (Funded by NSERC)

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 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 score0.809

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)0.0010.000

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 head0.068
GPT teacher head0.293
Teacher spread0.226 · 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.

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

Citations0
Published2013
Admission routes2
Has abstractyes

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