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The Neuropsychopharmacology of Fronto-Executive Function: Monoaminergic Modulation
Open accessAbstract
We review the modulatory effects of the catecholamine neurotransmitters noradrenaline and dopamine on prefrontal cortical function. The effects of pharmacologic manipulations of these systems, sometimes in comparison with the indoleamine serotonin (5-HT), on performance on a variety of tasks that tap working memory, attentional-set formation and shifting, reversal learning, and response inhibition are compared in rodents, nonhuman primates, and humans using, in a behavioral context, several techniques ranging from microiontophoresis and single-cell electrophysiological recording to pharmacologic functional magnetic resonance imaging. Dissociable effects of drugs and neurotoxins affecting these monoamine systems suggest new ways of conceptualizing state-dependent fronto-executive functions, with implications for understanding the molecular genetic basis of mental illness and its treatment.
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“Dopamine modulates motivation and reinforcement learning; norepinephrine regulates arousal and vigilance; serotonin contributes to impulse control and mood stabilization; acetylcholine enhances attention and memory encoding (Robbins and Arnsten, 2009).”
From Enhancement of modern defense capabilities by convergence of cognitive neuroscience and artificial intelligence (2026) · cites this paper as Robbins and Arnsten, 2009
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“Neurobiological mechanisms and neurotransmitter systems ranging from neurotransmitter regulation, like, dopamine, norepinephrine, serotonin, and acetylcholine to stress physiology related to hypothalamic-pituarity-adrenal axis or HPA axis and neural oscillations—provide the substrates for adaptability and resilience (Buzsáki, 2006; McEwen, 2007; Robbins and Arnsten, 2009).”
From Enhancement of modern defense capabilities by convergence of cognitive neuroscience and artificial intelligence (2026) · cites this paper as Robbins and Arnsten, 2009
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Dopamine modulates motivation and reinforcement learning; norepinephrine regulates arousal and vigilance; serotonin contributes to impulse control and mood stabilization; acetylcholine enhances attention and memory encoding (Robbins and Arnsten, 2009).”
From Enhancement of modern defense capabilities by convergence of cognitive neuroscience and artificial intelligence (2026) · cites this paper as Robbins and Arnsten, 2009
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“monoaminergic modulation of the efficacy of synaptic connections in PFC circuits has profound effects on PFC-mediated executive function, including working memory, regulation of attention, inhibition of inappropriate behaviors, and impulsivity control 45.”
From Mechanisms of synaptic transmission dysregulation in the prefrontal cortex: pathophysiological implications (2022) · cites this paper as [45]
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“Dopamine modulates motivation and reinforcement learning; norepinephrine regulates arousal and vigilance; serotonin contributes to impulse control and mood stabilization; acetylcholine enhances attention and memory encoding (Robbins and Arnsten, 2009).”
From Enhancement of modern defense capabilities by convergence of cognitive neuroscience and artificial intelligence (2026) · cites this paper as Robbins and Arnsten, 2009
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“In general, optimal levels of dopamine in PFC are essential for WM performance”
From Systematic reviews of the acute effects of amphetamine on working memory and other cognitive performances in healthy individuals, with a focus on the potential influence of personality traits (2023) · cites this paper as Robbins & Arnsten, 2009
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In the citing paper
“Dopamine modulates motivation and reinforcement learning; norepinephrine regulates arousal and vigilance; serotonin contributes to impulse control and mood stabilization; acetylcholine enhances attention and memory encoding (Robbins and Arnsten, 2009).”
From Enhancement of modern defense capabilities by convergence of cognitive neuroscience and artificial intelligence (2026) · cites this paper as Robbins and Arnsten, 2009
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“On the basis of animal models (Berridge et al, 2006;Robbins and Arnsten, 2009), the optimum alert state (see Figure 4) appears to be related to more moderate levels of activation of NE a-2A and DA D1 receptors in the PFC, but that stress-related increases of release of NE and DA and results in the activation of NE a-1 and b-1 receptor and excessive activation of D1 receptors (Arnsten, 2009).”
From Understanding the Effects of Stimulant Medications on Cognition in Individuals with Attention-Deficit Hyperactivity Disorder: A Decade of Progress (2011) · cites this paper as Robbins and Arnsten, 2009
In the citing paper
“Research in adult human and animal models has suggested that intermediate levels of DA signaling in both PFC and striatum are necessary for optimal performance, following a Yerkes-Dodson inverted U-shaped dose response curve of DA signaling and behavior (Robbins and Arnsten 2009; Cools and D'Esposito 2011).”
From Developmental imaging genetics: Linking dopamine function to adolescent behavior (2014) · cites this paper as Robbins and Arnsten 2009
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Citations
Cites
An Integrative Theory of Prefrontal Cortex Function
Miller, E. K., & Cohen, J. D. (2001) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.24.1.167 · Cited by 12,803
Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls
The Wellcome Trust Case Control Consortium, Management Committee, Burton, P. R., Clayton, D. G., Cardon, L. R., Craddock, N., Deloukas, P., Duncanson, A., Kwiatkowski, D. P., McCarthy, M. I., et al. (2007) · Nature · doi:10.1038/nature05911 · Cited by 9,442
Aston-Jones, G., & Cohen, J. D. (2005) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.28.061604.135709 · Cited by 4,472
Inhibition and the right inferior frontal cortex
Aron, A. R., Robbins, T. W., & Poldrack, R. A. (2004) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2004.02.010 · Cited by 3,197
Self-citationBerridge, C. W., & Waterhouse, B. D. (2003) · Brain Research Reviews · doi:10.1016/s0165-0173(03)00143-7 · Cited by 2,529
Effect of COMT Val 108/158 Met genotype on frontal lobe function and risk for schizophrenia
Egan, M. F., Goldberg, T. E., Kolachana, B. S., Callicott, J. H., Mazzanti, C. M., Straub, R. E., Goldman, D. A., & Weinberger, D. R. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.111134598 · Cited by 2,416
Circuitry of Primate Prefrontal Cortex and Regulation of Behavior by Representational Memory
Goldman‐Rakic, P. S. (1987) · Comprehensive Physiology · doi:10.1002/cphy.cp010509 · Cited by 1,960
Neuroscience of attention-deficit/hyperactivity disorder: the search for endophenotypes
Castellanos, F. X., & Tannock, R. (2002) · Nature Reviews Neuroscience · doi:10.1038/nrn896 · Cited by 1,827 · cited 1×
“ADHD is often associated with genetic alterations in catecholamine signaling (Castellanos & Tannock 2002).”
BackgroundThe sleep switch: hypothalamic control of sleep and wakefulness
Saper, C. B., Chou, T. C., & Scammell, T. E. (2001) · Trends in Neurosciences · doi:10.1016/s0166-2236(00)02002-6 · Cited by 1,656
Modulation of memory fields by dopamine Dl receptors in prefrontal cortex
Williams, G. V., & Goldman-Rakic, P. S. (1995) · Nature · doi:10.1038/376572a0 · Cited by 1,593
Research works printed but not linked: 11
- Arnsten AFT, 2008, Fut. Neurol., 3
- Baddeley AD, 1986, Working memory
- 10.1176/appi.ajp.163.7.1282 · DOI · Paper page
- Durstewictz D, 2000, J. Neurophysiology, 19, 2807
- Goldman-Rakic PS, 1987, Handbook of Physiology, 373
- Hess C, 2008, J. Neural. Transm.
- Kieling C, 2007, Am. J. Med. Genet. B Neuropsychiatr. Genet.
- Manji HK, 1999, J. Clin. Psychiatry, 60, 27
- Moore RY, 2001, Arch. Ital. Biol., 139, 195
- Robbins TW, 1995, Psychopharmacology—4th Generation of Progress, 363
- Seamans JK, 2009, Dopamine Receptors
Cited by
Sorted by citations
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Acute effects of exercise posture on executive function in transient ischemic attack patients
Faulkner, J., Stoner, L. R., Grigg, R., Fryer, S. M., Stone, K. J., & Lambrick, D. (2017) · Psychophysiology · doi:10.1111/psyp.12868 · Cited by 20
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DRD2 and DRD4 genes related to cognitive deficits in HIV-infected adults who abuse alcohol
Villalba, K., Dévieux, J. G., Rosenberg, R., & Cadet, J. L. (2015) · Behavioral and Brain Functions · doi:10.1186/s12993-015-0072-x · Cited by 21
Early markers of cognitive enhancement: developing an implicit measure of cognitive performance
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Nimitvilai, S., Lopez, M. F., & Woodward, J. J. (2018) · Neuropharmacology · doi:10.1016/j.neuropharm.2018.04.019 · Cited by 20
The functions of the frontal lobes: Evidence from patients with focal brain damage
Fellows, L. K. (2019) · Handbook of clinical neurology · doi:10.1016/b978-0-12-804281-6.00002-1 · Cited by 22
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Trofimova, I. N. (2021) · Neuropsychobiology · doi:10.1159/000513688 · Cited by 21
Silver, H., Goodman, C., Gur, R. C., Gur, R. E., & Bilker, W. B. (2010) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000322568 · Cited by 20
Mice Gamble for Food: Individual Differences in Risky Choices and Prefrontal Cortex Serotonin
Pittaras, E., Cressant, A., Serreau, P., Bruijel, J., Dellu-Hagedorn, F., Callebert, J., Rabat, A., & Granon, S. (2013) · Journal of Addiction Research & Therapy · doi:10.4172/2155-6105.s4-011 · Cited by 20
Suttkus, S., Schumann, A., de la Cruz, F., & Bär, K. (2021) · Brain and Behavior · doi:10.1002/brb3.2130 · Cited by 20
Cerpa, J.-C., Coutureau, É., & Parkes, S. L. (2021) · Behavioral Neuroscience · doi:10.1037/bne0000426 · Cited by 23
Molloy, C., & Farrell, R. (2024) · Computers in the Schools · doi:10.1080/07380569.2024.2325441 · Cited by 27
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Dopamine receptor signaling in the forebrain
Savica, R., & Benarroch, E. E. (2014) · Neurology · doi:10.1212/wnl.0000000000000719 · Cited by 19
Kelmendi, B., Adams, T. G., Southwick, S. M., Abdallah, C. G., & Krystal, J. H. (2017) · Clinical Psychology Science and Practice · doi:10.1111/cpsp.12202 · Cited by 20
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Eckstrand, K., Mummareddy, N., Kang, H., Cowan, R. L., Zhou, M., Zald, D. H., Silver, H. J., Niswender, K. D., & Avison, M. J. (2017) · PLoS ONE · doi:10.1371/journal.pone.0189113 · Cited by 20
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Markant, J. C., Cicchetti, D., Hetzel, S., & Thomas, K. M. (2014) · Developmental Science · doi:10.1111/desc.12128 · Cited by 22
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Schouw, M. L. J., Caan, M. W. A., Geurts, H. M., Schmand, B. A., Booij, J., Nederveen, A. J., & Reneman, L. (2013) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2013.01.005 · Cited by 18
Smith, J. A., Patil, D., Daniels, O., Ding, Y., Gallezot, J.-D., Henry, S., Kim, K., Kshirsagar, S. A., Martin, W., Obedencio, G., et al. (2015) · The International Journal of Neuropsychopharmacology · doi:10.1093/ijnp/pyu027 · Cited by 18
Ergometer cycling enhances executive control in task switching
Barenberg, J., Berse, T., & Dutke, S. (2015) · Journal of Cognitive Psychology · doi:10.1080/20445911.2015.1024256 · Cited by 18
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Janssens, A., Noortgate, W. V. D., Goossens, L., Colpin, H., Verschueren, K., Claes, S. J., & Leeuwen, K. G. V. (2016) · Journal of Research on Adolescence · doi:10.1111/jora.12271 · Cited by 21
Methylphenidate enhances implicit learning in healthy adults
Klinge, C., Shuttleworth, C., Muglia, P., Nobre, A. C., Harmer, C. J., & Murphy, S. E. (2017) · Journal of Psychopharmacology · doi:10.1177/0269881117731472 · Cited by 20
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Mastwal, S. S., Cao, V. Y., & Wang, K. H. (2016) · Frontiers in Neural Circuits · doi:10.3389/fncir.2016.00100 · Cited by 16
Wood, J. T., Simon, N. W., Koerner, F. S., Kass, R. E., & Moghaddam, B. (2017) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2017.00140 · Cited by 17
Shalev, N., Vangkilde, S., Neville, M. J., Tunbridge, E. M., Nobre, A. C., & Chechlacz, M. (2019) · Neuroscience · doi:10.1016/j.neuroscience.2019.05.068 · Cited by 16
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McCarthy, D. M., Zhang, L., Wilkes, B. J., Vaillancourt, D. E., Biederman, J., & Bhide, P. G. (2022) · Pharmacology Biochemistry and Behavior · doi:10.1016/j.pbb.2022.173355 · Cited by 22
Budygin, E. A., Grinevich, V. P., Wang, Z., Messi, M. L., Meeker, W. R., Zhang, J., Stewart, W. M., Milligan, C., & Delbono, O. (2024) · Aging Cell · doi:10.1111/acel.14342 · Cited by 18
Wallace, J., Jackson, R. K., Shotton, T. L., Munjal, I., McQuade, R., & Gartside, S. E. (2013) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2013.07.005 · Cited by 16
Juengst, S., Myrga, J. M., Fann, J., & Wagner, A. (2017) · The Journal of Neuropsychiatry and Clinical Neurosciences · doi:10.1176/appi.neuropsych.16100217 · Cited by 16
Weber, M. A., Graack, E. T., Scholl, J. L., Renner, K. J., Forster, G. L., & Watt, M. J. (2018) · European Journal of Neuroscience · doi:10.1111/ejn.14019 · Cited by 16
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Qi, Z., Yu, G. P., Tretter, F., Pogarell, O. M., Grace, A. A., & Voit, E. O. (2016) · Biochimica et Biophysica Acta (BBA) - General Subjects · doi:10.1016/j.bbagen.2016.04.031 · Cited by 15
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“In general, optimal levels of dopamine in PFC are essential for WM performance (Brozoski et al., 1979; Kane & Engle, 2002; Robbins & Arnsten, 2009), indicating that dopamine plays a key role in WM performances.”
Background
Metadata
- Authors
- Robbins, T. W., & Arnsten, A. F. T.
- Affiliations
- University of Cambridge (GB)
- Yale University (US)
- Venue
- Annual Review of Neuroscience
- Publisher
- Annual Reviews
- Published
- 2009-06-01
- Volume
- 32
- Issue
- 1
- Pages
- 267-287
- ISSN
- 0147-006X (ISSN-L)
- 1545-4126
- PMC
- PMC2863127
- OpenAlex
- W2160985876
- Cited by
- 957
- References
- 143
- Citations by year
- 2026: 37 · 2025: 45 · 2024: 38 · 2023: 66 · 2022: 41 · 2021: 41 · 2020: 47 · 2019: 48 · 2018: 58 · 2017: 64 · 2016: 64 · 2015: 70 · 2014: 53 · 2013: 90 · 2012: 72
- FWCI
- 5.61
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Annual Review of Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Yale University
- National Alliance for Research on Schizophrenia and Depression
- Wellcome Trust
- Medical Research Council
- National Institute on Alcohol Abuse and Alcoholism (RL1AA017536)
- National Institute on Aging (R37AG006036, P01AG030004, R01AG006036, AG06036)
- National Institute of Mental Health (P50MH068789)
- National Center for Research Resources (U54RR024350)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Keywords
- norepinephrine, dopamine, serotonin, prefrontal cortex, working memory, set-shifting, reversal learning, response inhibition, neuropsychopharmacology, neurotoxins, mental illness
- MeSH terms
- Animals, Catecholamines, Cognition, Humans, Mental Processes, Synaptic Transmission, Neuropharmacology, Psychomotor Performance, Serotonin, Prefrontal Cortex, Neurocognitive Disorders
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