From neurons to brain networks, pharmacodynamics of stimulant medication for ADHD
From neurons to brain networks, pharmacodynamics of stimulant medication for ADHD
Stimulants represent the first line pharmacological treatment for attention-deficit/hyperactivity disorder (ADHD) and are among the most prescribed psychopharmacological treatments. Their mechanism of action at synaptic level has been extensively studied. However, it is less clear how their mechanism of action determines clinically observed benefits. To help bridge this gap, we provide a comprehensive review of stimulant effects, with an emphasis on nuclear medicine and magnetic resonance imaging (MRI) findings. There is evidence that stimulant-induced modulation of dopamine and norepinephrine neurotransmission optimizes engagement of task-related brain networks, increases perceived saliency, and reduces interference from the default mode network. An acute administration of stimulants may reduce brain alterations observed in untreated individuals in fronto-striato-parieto-cerebellar networks during tasks or at rest. Potential effects of prolonged treatment remain controversial. Overall, neuroimaging has fostered understanding on stimulant mechanism of action. However, studies are often limited by small samples, short or no follow-up, and methodological heterogeneity. Future studies should address age-related and longer-term effects, potential differences among stimulants, and predictors of treatment response.
Attention-deficit/hyperactivity disorder (ADHD); stimulant; methylphenidate; amphetamine; pharmacodynamic; brain networks; magnetic resonance imaging (MRI); positron emission tomography (PET); single-photon emission computed tomography (SPECT).
Parlatini, Valeria
6cdfb200-40ce-43ce-84da-dcb6eba0f67a
Bellato, Alessio
0ee4c34f-3850-4883-8b82-5717b74990f7
Murphy, Declan
8dbc7036-5eb0-48bd-9c5d-313c0253fa01
Cortese, Samuele
53d4bf2c-4e0e-4c77-9385-218350560fdb
8 August 2024
Parlatini, Valeria
6cdfb200-40ce-43ce-84da-dcb6eba0f67a
Bellato, Alessio
0ee4c34f-3850-4883-8b82-5717b74990f7
Murphy, Declan
8dbc7036-5eb0-48bd-9c5d-313c0253fa01
Cortese, Samuele
53d4bf2c-4e0e-4c77-9385-218350560fdb
Parlatini, Valeria, Bellato, Alessio, Murphy, Declan and Cortese, Samuele
(2024)
From neurons to brain networks, pharmacodynamics of stimulant medication for ADHD.
Neuroscience & Biobehavioral Reviews, 164, [105841].
(doi:10.1016/j.neubiorev.2024.105841).
Abstract
Stimulants represent the first line pharmacological treatment for attention-deficit/hyperactivity disorder (ADHD) and are among the most prescribed psychopharmacological treatments. Their mechanism of action at synaptic level has been extensively studied. However, it is less clear how their mechanism of action determines clinically observed benefits. To help bridge this gap, we provide a comprehensive review of stimulant effects, with an emphasis on nuclear medicine and magnetic resonance imaging (MRI) findings. There is evidence that stimulant-induced modulation of dopamine and norepinephrine neurotransmission optimizes engagement of task-related brain networks, increases perceived saliency, and reduces interference from the default mode network. An acute administration of stimulants may reduce brain alterations observed in untreated individuals in fronto-striato-parieto-cerebellar networks during tasks or at rest. Potential effects of prolonged treatment remain controversial. Overall, neuroimaging has fostered understanding on stimulant mechanism of action. However, studies are often limited by small samples, short or no follow-up, and methodological heterogeneity. Future studies should address age-related and longer-term effects, potential differences among stimulants, and predictors of treatment response.
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More information
Accepted/In Press date: 1 August 2024
e-pub ahead of print date: 2 August 2024
Published date: 8 August 2024
Keywords:
Attention-deficit/hyperactivity disorder (ADHD); stimulant; methylphenidate; amphetamine; pharmacodynamic; brain networks; magnetic resonance imaging (MRI); positron emission tomography (PET); single-photon emission computed tomography (SPECT).
Identifiers
Local EPrints ID: 493199
URI: http://eprints.soton.ac.uk/id/eprint/493199
ISSN: 0149-7634
PURE UUID: ce419cb9-32d6-4af1-a1be-33e6c2aca085
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Date deposited: 27 Aug 2024 16:58
Last modified: 10 Sep 2024 02:09
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Author:
Valeria Parlatini
Author:
Alessio Bellato
Author:
Declan Murphy
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