ArticleBehavioural brain research2009
A neurocomputational model of tonic and phasic dopamine in action selection: a comparison with cognitive deficits in Parkinson's disease.
Article in Behavioural brain research, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07647913 (Rhythm Psychophysics With Parkinson's Patients), which is not on this map. Cited by 21 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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Rhythm Psychophysics With Parkinson's Patients
Who cites it
21 citing papers in PubMed, 49 citations in OpenAlex.
- Article
- Absolute measurement of fast and slow neuronal signals with fluorescence lifetime photometry at high temporal resolution.bioRxiv : the preprint server for biology · 2025Article
- Toward Precise Modeling of Dopamine Release Kinetics: Comparison and Validation of Kinetic Models Using Voltammetry.ACS omega · 2024Article
- Simulated Dopamine Modulation of a Neurorobotic Model of the Basal Ganglia.Biomimetics (Basel, Switzerland) · 2024Article
- A Neuro-Computational Model for Discrete-Continuous Dual-Task Process.Frontiers in computational neuroscience · 2022Article
- Software for near-real-time voltammetric tracking of tonic neurotransmitter levelsFrontiers in neuroscience · 2022Article
- An integrative model of Parkinson's disease treatment including levodopa pharmacokinetics, dopamine kinetics, basal ganglia neurotransmission and motor action throughout disease progression.Journal of pharmacokinetics and pharmacodynamics · 2021Article
- Modeling nucleus accumbens : A Computational Model from Single Cell to Circuit Level.Journal of computational neuroscience · 2021Article
- Age-Related Decline in Learning Deterministic Judgment-Based Sequences.The journals of gerontology. Series B, Psychological sciences and social sciences · 2020Article
- Attentional blink and putative noninvasive dopamine markers: Two experiments to consolidate possible associations.Cognitive, affective & behavioral neuroscience · 2019Article
- Different Dopaminergic Dysfunctions Underlying Parkinsonian Akinesia and Tremor.Frontiers in neuroscience · 2019Article
- A review of presented mathematical models in Parkinson's disease: black- and gray-box models.Medical & biological engineering & computing · 2016Review
- Human substantia nigra neurons encode decision outcome and are modulated by categorization uncertainty in an auditory categorization task.Physiological reports · 2015Article
- A Biologically Inspired Computational Model of Basal Ganglia in Action Selection.Computational intelligence and neuroscience · 2015Article
- Impulse control disorders in Parkinson's disease: an overview from neurobiology to treatment.Journal of neurology · 2015Review
- Computational models of basal-ganglia pathway functions: focus on functional neuroanatomy.Frontiers in systems neuroscience · 2013Review
- Phasic-like stimulation of the medial forebrain bundle augments striatal gene expression despite methamphetamine-induced partial dopamine denervation.Journal of neurochemistry · 2013Article
- Levodopa and the feedback process on set-shifting in Parkinson's disease.Human brain mapping · 2012Article
- From occasional choices to inevitable musts: a computational model of nicotine addiction.Computational intelligence and neuroscience · 2012Article
- The risky business of dopamine agonists in Parkinson disease and impulse control disorders.Behavioral neuroscience · 2011Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
Abstract
The striatal dopamine signal has multiple facets; tonic level, phasic rise and fall, and variation of the phasic rise/fall depending on the expectation of reward/punishment. We have developed a network model of the striatal direct pathway using an ionic current level model of the medium spiny neuron that incorporates currents sensitive to changes in the tonic level of dopamine. The model neurons in the network learn action selection based on a novel set of mathematical rules that incorporate the phasic change in the dopamine signal. This network model is capable of learning to perform a sequence learning task that in humans is thought to be dependent on the basal ganglia. When both tonic and phasic levels of dopamine are decreased, as would be expected in unmedicated Parkinson's disease (PD), the model reproduces the deficits seen in a human PD group off medication. When the tonic level is increased to normal, but with reduced phasic increases and decreases in response to reward and punishment, respectively, as would be expected in PD medicated with L-Dopa, the model again reproduces the human data. These findings support the view that the cognitive dysfunctions seen in Parkinson's disease are not solely either due to the decreased tonic level of dopamine or to the decreased responsiveness of the phasic dopamine signal to reward and punishment, but to a combination of the two factors that varies dependent on disease stage and medication status.
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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.