Rationale: Long-term cannabis and cocaine use has been associated with impairments in reversal learning. However, how acute cannabis and cocaine administration affect reversal learning in humans is not known.
Objective: In this study, we aimed to establish the acute effects of administration of cannabis and cocaine on valence-dependent reversal learning as a function of DRD2 Taq1A (rs1800497) and COMT Val108/158Met (rs4680) genotype.
Methods: A double-blind placebo-controlled randomized 3-way crossover design was used. Sixty-one regular poly-drug users completed a deterministic reversal learning task under the influence of cocaine, cannabis, and placebo that enabled assessment of both reward- and punishment-based reversal learning.
Results: Proportion correct on the reversal learning task was increased by cocaine, but decreased by cannabis. Effects of cocaine depended on the DRD2 genotype, as increases in proportion correct were seen only in the A1 carriers, and not in the A2/A2 homozygotes. COMT genotype did not modulate drug-induced effects on reversal learning.
Conclusions: These data indicate that acute administration of cannabis and cocaine has opposite effects on reversal learning. The effects of cocaine, but not cannabis, depend on interindividual genetic differences in the dopamine D2 receptor gene.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4700084 | PMC |
http://dx.doi.org/10.1007/s00213-015-4141-5 | DOI Listing |
Cell Rep Med
January 2025
Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19102, USA; Department of Neuroscience, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19102, USA; The Epigenetics Institute, University of Pennsylvania, Philadelphia, PA 19102, USA. Electronic address:
Cyclin-dependent kinase-like 5 (CDKL5) deficiency disorder (CDD) is a neurodevelopmental syndrome caused by mutations in the X-linked CDKL5 gene. The early onset of CDD suggests that CDKL5 is essential during development, but post-developmental re-expression rescues multiple CDD-related phenotypes in hemizygous male mice. Since most patients are heterozygous females, studies in clinically relevant female models are essential.
View Article and Find Full Text PDFBrain Sci
January 2025
Department of Computer Science, Georgia State University, Atlanta, GA 30302, USA.
Objective: Functional magnetic resonance imaging data pose significant challenges due to their inherently noisy and complex nature, making traditional statistical models less effective in capturing predictive features. While deep learning models offer superior performance through their non-linear capabilities, they often lack transparency, reducing trust in their predictions. This study introduces the Time Reversal (TR) pretraining method to address these challenges.
View Article and Find Full Text PDFBehav Brain Res
January 2025
Department of Psychology, University of Otago, Dunedin 9016, New Zealand.
Maternal immune activation (MIA) is a risk factor for schizophrenia. Since memory for sequence and stimulus order are disrupted in individuals with schizophrenia, we tested whether MIA animals showed deficits in a sequence learning and object-place recency memory task. In experiment one, control and MIA-challenged rats were required to nose poke five ports in a cued sequence.
View Article and Find Full Text PDFNeuroimage
January 2025
Beijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education (BNU), Faculty of Psychology, Beijing Normal University, Beijing, China; Center for Neuroimaging, Shenzhen Institute of Neuroscience, Shenzhen, China. Electronic address:
Humans adjust their learning strategies in changing environments by estimating the volatility of the reinforcement conditions. Here, we examine how volatility affects learning and the underlying functional brain organizations using a probabilistic reward reversal learning task. We found that the order of states was critically important; participants adjusted learning rate going from volatile to stable, but not from stable to volatile environments.
View Article and Find Full Text PDFInt J Biol Macromol
January 2025
Key Laboratory of TCM-information Engineer of State Administration of TCM, School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 102488, China. Electronic address:
Diabetic nephropathy (DN) is a major complication of diabetes and a leading cause of renal failure. While valsartan has been shown to alleviate DN clinically, its antifibrotic mechanisms require further investigation. This study used a transcriptomics-driven approach, integrating in vitro, Machine Learning, molecular docking, dynamics simulations and RT-qCPR to identify key antifibrotic targets.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!