ArticleFrontiers in computational neuroscience2022
A mechanistic model of ADHD as resulting from dopamine phasic/tonic imbalance during reinforcement learning.
Article in Frontiers in computational neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.
- Neurobiological insights into the effects of ultra-processed food on lipid metabolism and associated mental health conditions: a scoping review.Frontiers in nutrition · 2025Pooled it
- Ropinirole adjunct to methylphenidate versus placebo adjunct to methylphenidate for attention-deficit/hyperactivity disorder: a randomized, double-blind, placebo-controlled trial.European child & adolescent psychiatry · 2026Article
- Reinventing amlodipine.The Journal of pharmacology and experimental therapeutics · 2026Review
- Review
- ADHD in Adulthood: Clinical Presentation, Comorbidities, and Treatment Perspectives.International journal of molecular sciences · 2025Review
- Article
- Dopaminergic Perturbation in the Aetiology of Neurodevelopmental Disorders.Molecular neurobiology · 2025Review
- Absolute measurement of fast and slow neuronal signals with fluorescence lifetime photometry at high temporal resolution.bioRxiv : the preprint server for biology · 2025Article
- Are prediction error modifications domain specific in autism but domain general in ADHD?Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Adult ADHD as a risk factor for dementia: integrating longitudinal evidence, mechanistic insights, and the role of stimulant treatment.Frontiers in dementia · 2025Review
- Mechanisms of vagus nerve stimulation for the treatment of neurodevelopmental disorders: a focus on microglia and neuroinflammation.Frontiers in neuroscience · 2024Review
- The dopamine hypothesis for ADHD: An evaluation of evidence accumulated from human studies and animal models.Frontiers in psychiatry · 2024Review
- Dopaminergic cell protection and alleviation of neuropsychiatric disease symptoms by VMAT2 expression through the class I HDAC inhibitor TC-H 106.Pharmacology research & perspectives · 2023Article
- Molecular Mechanisms Underlying NMDARs Dysfunction and Their Role in ADHD Pathogenesis.International journal of molecular sciences · 2023Review
Corrections and comments
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Authors and funding
4 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Attention deficit hyperactivity disorder (ADHD) is the most common neurodevelopmental disorder in children. Although the involvement of dopamine in this disorder seems to be established, the nature of dopaminergic dysfunction remains controversial. The purpose of this study was to test whether the key response characteristics of ADHD could be simulated by a mechanistic model that combines a decrease in tonic dopaminergic activity with an increase in phasic responses in cortical-striatal loops during learning reinforcement. To this end, we combined a dynamic model of dopamine with a neurocomputational model of the basal ganglia with multiple action channels. We also included a dynamic model of tonic and phasic dopamine release and control, and a learning procedure driven by tonic and phasic dopamine levels. In the model, the dopamine imbalance is the result of impaired presynaptic regulation of dopamine at the terminal level. Using this model, virtual individuals from a dopamine imbalance group and a control group were trained to associate four stimuli with four actions with fully informative reinforcement feedback. In a second phase, they were tested without feedback. Subjects in the dopamine imbalance group showed poorer performance with more variable reaction times due to the presence of fast and very slow responses, difficulty in choosing between stimuli even when they were of high intensity, and greater sensitivity to noise. Learning history was also significantly more variable in the dopamine imbalance group, explaining 75% of the variability in reaction time using quadratic regression. The response profile of the virtual subjects varied as a function of the learning history variability index to produce increasingly severe impairment, beginning with an increase in response variability alone, then accumulating a decrease in performance and finally a learning deficit. Although ADHD is certainly a heterogeneous disorder, these results suggest that typical features of ADHD can be explained by a phasic/tonic imbalance in dopaminergic activity alone.
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