ArticleThe European journal of neuroscience2019
Molecular mechanisms underlying striatal synaptic plasticity: relevance to chronic alcohol consumption and seeking.
Article in The European journal of neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 26 citations in OpenAlex.
- Quantitative Systems Pharmacology Development and Application in Neuroscience.Handbook of experimental pharmacology · 2025Review
- A stochastic model of hippocampal synaptic plasticity with geometrical readout of enzyme dynamics.eLife · 2023Article
- Computational analysis of cortical neuronal excitotoxicity in a large animal model of neonatal brain injury.Journal of neurodevelopmental disorders · 2022Article
- A computational model of dopaminergic modulation of hippocampal Schaffer collateral-CA1 long-term plasticity.Journal of computational neuroscience · 2022Article
- Chronic and Acute Manipulation of Cortical Glutamate Transmission Induces Structural and Synaptic Changes in Co-cultured Striatal Neurons.Frontiers in cellular neuroscience · 2021Article
- A Multisubcellular Compartment Model of AMPA Receptor Trafficking for Neuromodulation of Hebbian Synaptic Plasticity.Frontiers in synaptic neuroscience · 2021Article
- Article
- Signaling models for dopamine-dependent temporal contiguity in striatal synaptic plasticity.PLoS computational biology · 2020Article
- The microcircuits of striatum in silico.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- Evidence for incentive salience sensitization as a pathway to alcohol use disorder.Neuroscience and biobehavioral reviews · 2019Review
- Using NEURON for Reaction-Diffusion Modeling of Extracellular Dynamics.Frontiers in neuroinformatics · 2018Article
- A Dual Role Hypothesis of the Cortico-Basal-Ganglia Pathways: Opponency and Temporal Difference Through Dopamine and Adenosine.Frontiers in neural circuits · 2018Article
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Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
Abstract
The striatum, the input structure of the basal ganglia, is a major site of learning and memory for goal-directed actions and habit formation. Spiny projection neurons of the striatum integrate cortical, thalamic, and nigral inputs to learn associations, with cortico-striatal synaptic plasticity as a learning mechanism. Signaling molecules implicated in synaptic plasticity are altered in alcohol withdrawal, which may contribute to overly strong learning and increased alcohol seeking and consumption. To understand how interactions among signaling molecules produce synaptic plasticity, we implemented a mechanistic model of signaling pathways activated by dopamine D1 receptors, acetylcholine receptors, and glutamate. We use our novel, computationally efficient simulator, NeuroRD, to simulate stochastic interactions both within and between dendritic spines. Dopamine release during theta burst and 20-Hz stimulation was extrapolated from fast-scan cyclic voltammetry data collected in mouse striatal slices. Our results show that the combined activity of several key plasticity molecules correctly predicts the occurrence of either LTP, LTD, or no plasticity for numerous experimental protocols. To investigate spatial interactions, we stimulate two spines, either adjacent or separated on a 20-μm dendritic segment. Our results show that molecules underlying LTP exhibit spatial specificity, whereas 2-arachidonoylglycerol exhibits a spatially diffuse elevation. We also implement changes in NMDA receptors, adenylyl cyclase, and G protein signaling that have been measured following chronic alcohol treatment. Simulations under these conditions suggest that the molecular changes can predict changes in synaptic plasticity, thereby accounting for some aspects of alcohol use disorder.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.