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A mechanistic model of ADHD as resulting from dopamine phasic/tonic imbalance during reinforcement learning
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 k...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9342605/ https://www.ncbi.nlm.nih.gov/pubmed/35923915 http://dx.doi.org/10.3389/fncom.2022.849323 |
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author | Véronneau-Veilleux, Florence Robaey, Philippe Ursino, Mauro Nekka, Fahima |
author_facet | Véronneau-Veilleux, Florence Robaey, Philippe Ursino, Mauro Nekka, Fahima |
author_sort | Véronneau-Veilleux, Florence |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9342605 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-93426052022-08-02 A mechanistic model of ADHD as resulting from dopamine phasic/tonic imbalance during reinforcement learning Véronneau-Veilleux, Florence Robaey, Philippe Ursino, Mauro Nekka, Fahima Front Comput Neurosci Neuroscience 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. Frontiers Media S.A. 2022-07-18 /pmc/articles/PMC9342605/ /pubmed/35923915 http://dx.doi.org/10.3389/fncom.2022.849323 Text en Copyright © 2022 Véronneau-Veilleux, Robaey, Ursino and Nekka. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Véronneau-Veilleux, Florence Robaey, Philippe Ursino, Mauro Nekka, Fahima A mechanistic model of ADHD as resulting from dopamine phasic/tonic imbalance during reinforcement learning |
title | A mechanistic model of ADHD as resulting from dopamine phasic/tonic imbalance during reinforcement learning |
title_full | A mechanistic model of ADHD as resulting from dopamine phasic/tonic imbalance during reinforcement learning |
title_fullStr | A mechanistic model of ADHD as resulting from dopamine phasic/tonic imbalance during reinforcement learning |
title_full_unstemmed | A mechanistic model of ADHD as resulting from dopamine phasic/tonic imbalance during reinforcement learning |
title_short | A mechanistic model of ADHD as resulting from dopamine phasic/tonic imbalance during reinforcement learning |
title_sort | mechanistic model of adhd as resulting from dopamine phasic/tonic imbalance during reinforcement learning |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9342605/ https://www.ncbi.nlm.nih.gov/pubmed/35923915 http://dx.doi.org/10.3389/fncom.2022.849323 |
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