Chemogenetic inhibition of dopaminergic projections to the nucleus accumbens has sexually dimorphic effects in the rat gambling task.
Bibliographic record
Abstract
Women and men can differ in their propensity to take risks and develop impulse control and addiction disorders. Sexual dimorphisms in behavioral control by the mesolimbic dopaminergic reward system may underlie these phenomena, given its sensitivity to gonadal hormones. However, this is hard to test experimentally using humans. Using the rat gambling task (rGT), we investigated what impact acute inhibition of accumbal dopamine had on decision-making and impulsivity in animals of both sexes. We expressed an inhibitory designer receptor exclusively activated by designer drugs (hM4D[Gi]) in the accumbal dopaminergic efferents of female and male transgenic (Tg) rats, engineered to selectively express cre recombinase in neurons synthesizing tyrosine hydroxylase. We then trained the rats to perform the rGT and assessed the effect of an acute clozapine-n-oxide (0-3 mg/kg) challenge. Chemogenetic inhibition of dopaminergic projections to the accumbens did not affect choice in females, perhaps due to low levels of risky choice in Tg+ animals at baseline, but induced a switch from risky to optimal decision-making in males performing the cued rGT. This manipulation also decreased motor impulsivity but only in females. These data support the hypothesis that cue-driven risky choice is mediated, at least in males, by activity of accumbal dopaminergic neurons. However, motor impulsivity is more sensitive to inhibition of accumbal dopamine neurons in female rats. These data may help explain differences in the manifestation of addictions across gender and reinforce the importance of examining both sexes when seeking to attribute control of behavior to specific monoaminergic pathways. (PsycInfo Database Record (c) 2020 APA, all rights reserved).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".