ReviewJournal of neurophysiology2016
Implications of cellular models of dopamine neurons for disease.
Review in Journal of neurophysiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
7 citing papers in PubMed.
- KChIP4a is a Biophysical Amplifier of Inhibition in Atypical Dopamine Neurons and Controls Learning from Negative Prediction Errors.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Dendritic involvement in inhibition and disinhibition of vulnerable dopaminergic neurons in healthy and pathological conditions.Neurobiology of disease · 2022Review
- Inactivation mode of sodium channels defines the different maximal firing rates of conventional versus atypical midbrain dopamine neurons.PLoS computational biology · 2021Article
- Dimensions of control for subthreshold oscillations and spontaneous firing in dopamine neurons.PLoS computational biology · 2019Article
- Role of the Axon Initial Segment in the Control of Spontaneous Frequency of Nigral Dopaminergic NeuronsThe Journal of neuroscience : the official journal of the Society for Neuroscience · 2018Article
- Calcium dynamics control K-ATP channel-mediated bursting in substantia nigra dopamine neurons: a combined experimental and modeling study.Journal of neurophysiology · 2018Article
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Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
This review addresses the present state of single-cell models of the firing pattern of midbrain dopamine neurons and the insights that can be gained from these models into the underlying mechanisms for diseases such as Parkinson's, addiction, and schizophrenia. We will explain the analytical technique of separation of time scales and show how it can produce insights into mechanisms using simplified single-compartment models. We also use morphologically realistic multicompartmental models to address spatially heterogeneous aspects of neural signaling and neural metabolism. Separation of time scale analyses are applied to pacemaking, bursting, and depolarization block in dopamine neurons. Differences in subpopulations with respect to metabolic load are addressed using multicompartmental models.
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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.