The DOI matches its Crossref record; 143 of the 143 references it cites were found in a registry or an index.
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The 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
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
“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
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
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
The cited source says what the claim attributes to it.
In the citing paper
“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
The check wasn’t confident either way, so it gives no verdict — never disputed.
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
Experimental — accuracy not yet measuredIn the citing paper
“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]
In the citing paper
“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
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
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
Dopamine in motivational control: rewarding, aversive, and alerting
Bromberg-Martin, E. S., Matsumoto, M., & Hikosaka, O. (2010) · Neuron · doi:10.1016/j.neuron.2010.11.022 · Cited by 2,396
Inhibition and impulsivity: behavioral and neural basis of response control
Bari, A., & Robbins, T. W. (2013) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2013.06.005 · Cited by 1,921
Self-citationAn opportunity cost model of subjective effort and task performance
Kurzban, R., Duckworth, A., Kable, J. W., & Myers, J. (2013) · Behavioral and Brain Sciences · doi:10.1017/s0140525x12003196 · Cited by 1,381
Millan, M. J., Agid, Y., Brüne, M., Bullmore, E. T., Carter, C. S., Clayton, N. S., Connor, R., Davis, S., Deakin, B., DeRubeis, R. J., et al. (2012) · Nature Reviews Drug Discovery · doi:10.1038/nrd3628 · Cited by 1,292
Input-specific control of reward and aversion in the ventral tegmental area
Lammel, S., Lim, B. K., Ran, C., Huang, K. W., Betley, M. J., Tye, K. M., Deisseroth, K., & Malenka, R. C. (2012) · Nature · doi:10.1038/nature11527 · Cited by 1,300
Neuronal Reward and Decision Signals: From Theories to Data
Schultz, W. (2015) · Physiological Reviews · doi:10.1152/physrev.00023.2014 · Cited by 1,126
Dopamine reward prediction-error signalling: A two-component response
Schultz, W. (2016) · Nature Reviews Neuroscience · doi:10.1038/nrn.2015.26 · Cited by 1,036
Towards a glutamate hypothesis of depression
Sanacora, G., Treccani, G., & Popoli, M. (2012) · Neuropharmacology · doi:10.1016/j.neuropharm.2011.07.036 · Cited by 1,036
Orienting and reorienting: the locus coeruleus mediates cognition through arousal
Sara, S. J., & Bouret, S. (2012) · Neuron · doi:10.1016/j.neuron.2012.09.011 · Cited by 1,056
Child development in the context of adversity: Experiential canalization of brain and behavior.
Blair, C., & Raver, C. C. (2012) · American Psychologist · doi:10.1037/a0027493 · Cited by 799
del Campo, N., Chamberlain, S. R., Sahakian, B. J., & Robbins, T. W. (2011) · Biological Psychiatry · doi:10.1016/j.biopsych.2011.02.036 · Cited by 685
Self-citationCognitive effort: A neuroeconomic approach
Westbrook, A., & Braver, T. S. (2015) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-015-0334-y · Cited by 685
Emotion, Cognition, and Mental State Representation in Amygdala and Prefrontal Cortex
Salzman, C. D., & Fusi, S. (2010) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.051508.135256 · Cited by 628
Cognitive Impairment in Parkinson’s Disease: The Dual Syndrome Hypothesis
Kehagia, A. A., Barker, R. A., & Robbins, T. W. (2012) · Neurodegenerative Diseases · doi:10.1159/000341998 · Cited by 574
Self-citationThe hierarchical basis of neurovisceral integration
Smith, R., Thayer, J. F., Khalsa, S. S., & Lane, R. D. (2017) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2017.02.003 · Cited by 523
Arnsten, A. F. T., Wang, M. J., & Paspalas, C. D. (2012) · Neuron · doi:10.1016/j.neuron.2012.08.038 · Cited by 538
Self-citationSerotonin selectively influences moral judgment and behavior through effects on harm aversion
Crockett, M. J., Clark, L., Hauser, M. D., & Robbins, T. W. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1009396107 · Cited by 526
Self-citationHuman cognition involves the dynamic integration of neural activity and neuromodulatory systems
Shine, J. M., Breakspear, M. J., Bell, P. T., Martens, K. A. E., Shine, R., Koyejo, S., Sporns, O., & Poldrack, R. A. (2019) · Nature Neuroscience · doi:10.1038/s41593-018-0312-0 · Cited by 533
Arnsten, A. F. T., & Rubia, K. (2012) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2012.01.008 · Cited by 568
Self-citationNeuronal basis of age-related working memory decline
Wang, M., Gamo, N. J., Yang, Y., Jin, L. E., Wang, X.-J., Laubach, M., Mazer, J. A., Lee, D., & Arnsten, A. F. T. (2011) · Nature · doi:10.1038/nature10243 · Cited by 485
Self-citationSerotonin modulation of cortical neurons and networks
Celada, P., Puig, M. V., & Artigas, F. (2013) · Frontiers in Integrative Neuroscience · doi:10.3389/fnint.2013.00025 · Cited by 462
“Yet, unlike dopamine, whose function in the PFC has been extensively studied (Williams and Goldman-Rakic, 1995; Robbins and Arnsten, 2009), the role of 5-HT in PFC remains less known than that of dopamine.”
BackgroundOpponency revisited: competition and cooperation between dopamine and serotonin
Boureau, Y.-L., & Dayan, P. (2011) · Neuropsychopharmacology · doi:10.1038/npp.2010.151 · Cited by 456
Smith, M. E., & Farah, M. J. (2011) · Psychological Bulletin · doi:10.1037/a0023825 · Cited by 456
Executive Function and Psychopathology: A Neurodevelopmental Perspective
Zelazo, P. D. (2020) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-072319-024242 · Cited by 529
Atypical attentional networks and the emergence of autism
Keehn, B., Müller, R.-A., & Townsend, J. (2013) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2012.11.014 · Cited by 412
General Cortical and Special Prefrontal Connections: Principles from Structure to Function
Barbas, H. (2015) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-071714-033936 · Cited by 408
The neuromodulator of exploration: A unifying theory of the role of dopamine in personality
DeYoung, C. G. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00762 · Cited by 387
Abnormal Functional Connectivity in Children with Attention-Deficit/Hyperactivity Disorder
Tomasi, D., & Volkow, N. D. (2012) · Biological Psychiatry · doi:10.1016/j.biopsych.2011.11.003 · Cited by 363
Top-down control of visual attention
Noudoost, B., Chang, M. H., Steinmetz, N. A., & Moore, T. (2010) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2010.02.003 · Cited by 385
Floresco, S. B. (2013) · Frontiers in Neuroscience · doi:10.3389/fnins.2013.00062 · Cited by 336
Thiele, A., & Bellgrove, M. A. (2018) · Neuron · doi:10.1016/j.neuron.2018.01.008 · Cited by 350
The neurobiology of social play and its rewarding value in rats
Vanderschuren, L. J. M. J., Achterberg, E. J. M., & Trezza, V. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.07.025 · Cited by 329
Mittal, C., Griskevicius, V., Simpson, J. A., Sung, S., & Young, E. S. (2015) · Journal of Personality and Social Psychology · doi:10.1037/pspi0000028 · Cited by 397
Control of visual cortical signals by prefrontal dopamine
Noudoost, B., & Moore, T. (2011) · Nature · doi:10.1038/nature09995 · Cited by 324
Circuit organization of the rodent medial prefrontal cortex
Anastasiades, P. G., & Carter, A. G. (2021) · Trends in Neurosciences · doi:10.1016/j.tins.2021.03.006 · Cited by 314
Yan, Z., & Rein, B. (2022) · Molecular Psychiatry · doi:10.1038/s41380-021-01092-3 · Cited by 300
“2), and monoaminergic modulation of the ef fi cacy 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].”
BackgroundDopamine Does Double Duty in Motivating Cognitive Effort
Westbrook, A., & Braver, T. S. (2016) · Neuron · doi:10.1016/j.neuron.2015.12.029 · Cited by 331
Goschke, T. (2014) · International Journal of Methods in Psychiatric Research · doi:10.1002/mpr.1410 · Cited by 293
Role of prefrontal cortex and the midbrain dopamine system in working memory updating
D’Ardenne, K., Eshel, N., Luka, J., Lenartowicz, A., Nystrom, L. E., & Cohen, J. D. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1116727109 · Cited by 323
Threat and the body: how the heart supports fear processing
Garfinkel, S. N., & Critchley, H. D. (2016) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2015.10.005 · Cited by 298
Cognitive enhancement as a treatment for drug addictions
Sofuoglu, M., DeVito, E. E., Waters, A. J., & Carroll, K. M. (2012) · Neuropharmacology · doi:10.1016/j.neuropharm.2012.06.021 · Cited by 309
Goschke, T., & Bolte, A. (2014) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2014.07.015 · Cited by 319
Prefrontal contributions to visual selective attention
Squire, R. F., Noudoost, B., Schafer, R. J., & Moore, T. (2013) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-062111-150439 · Cited by 260
The touchscreen operant platform for assessing executive function in rats and mice
Mar, A. C., Horner, A. E., Nilsson, S. R. O., Alsiö, J., Kent, B. A., Kim, C. H., Holmes, A., Saksida, L. M., & Bussey, T. J. (2013) · Nature Protocols · doi:10.1038/nprot.2013.123 · Cited by 271
Swanson, J., Baler, R. D., & Volkow, N. D. (2011) · Neuropsychopharmacology · doi:10.1038/npp.2010.160 · Cited by 252
A Neuroergonomics Approach to Mental Workload, Engagement and Human Performance
Dehais, F., Lafont, A., Roy, R. N., & Fairclough, S. H. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.00268 · Cited by 296
Reward functions of the basal ganglia
Schultz, W. (2016) · Journal of Neural Transmission · doi:10.1007/s00702-016-1510-0 · Cited by 264
Rogers, R. D. (2010) · Neuropsychopharmacology · doi:10.1038/npp.2010.165 · Cited by 262
Computerized video analysis of social interactions in mice
de Chaumont, F., Coura, R., Serreau, P., Cressant, A., Chabout, J., Granon, S., & Olivo‐Marín, J. (2012) · Nature Methods · doi:10.1038/nmeth.1924 · Cited by 251
The neural basis of one's own conscious and unconscious emotional states
Smith, R. S., & Lane, R. D. (2015) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2015.08.003 · Cited by 253
Cognitive enhancement by drugs in health and disease
Husain, M., & Mehta, M. A. (2011) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2010.11.002 · Cited by 241
Principles of dynamic network reconfiguration across diverse brain states
Shine, J. M., & Poldrack, R. A. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.08.010 · Cited by 247
Reinforcement learning in depression: a review of computational research
Chen, C., Takahashi, T., Nakagawa, S., Inoue, T., & Kusumi, I. (2015) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2015.05.005 · Cited by 233
Stuss, D. T. (2011) · Current Opinion in Neurology · doi:10.1097/wco.0b013e32834c7eb9 · Cited by 234
Vitamin D prevents cognitive decline and enhances hippocampal synaptic function in aging rats
Latimer, C. S., Brewer, L. D., Searcy, J. L., Chen, K.-C., Popović, J., Kraner, S. D., Thibault, O., Blalock, E. M., Landfield, P. W., & Porter, N. M. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1404477111 · Cited by 239
Executive Functions Profile in Extreme Eating/Weight Conditions: From Anorexia Nervosa to Obesity
Fagundo, A. B., de la Torre, R., Jiménez‐Múrcia, S., Agüera, Z., Granero, R., Tárrega, S., Botella, C., Baños, R., Fernández‐Real, J. M., Rodríguez, R., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0043382 · Cited by 245
Clewett, D., Lee, T., Greening, S. G., Ponzio, A., Margalit, E., & Mather, M. (2015) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2015.09.019 · Cited by 241
Dopaminergic control of cognitive flexibility in humans and animals
Klanker, M., Feenstra, M., & Denys, D. (2013) · Frontiers in Neuroscience · doi:10.3389/fnins.2013.00201 · Cited by 209
Neuroscience of Behavioral and Pharmacological Treatments for Addictions
Potenza, M. N., Sofuoglu, M., Carroll, K. M., & Rounsaville, B. J. (2011) · Neuron · doi:10.1016/j.neuron.2011.02.009 · Cited by 220
Striatal Dopamine and the Interface between Motivation and Cognition
Aarts, E., van Holstein, M., & Cools, R. (2011) · Frontiers in Psychology · doi:10.3389/fpsyg.2011.00163 · Cited by 211
Matthys, W., Vanderschuren, L. J. M. J., & Schutter, D. J. L. G. (2012) · Development and Psychopathology · doi:10.1017/s0954579412000272 · Cited by 228
Calabresi, P., Castrioto, A., Filippo, M. D., & Picconi, B. (2013) · The Lancet Neurology · doi:10.1016/s1474-4422(13)70118-2 · Cited by 216
A Short Review on the Current Understanding of Autism Spectrum Disorders
Park, H. R., Lee, J. M., Moon, H. E., Lee, D. S., Kim, B.-N., Kim, J., Kim, D. G., & Paek, S. H. (2016) · Experimental Neurobiology · doi:10.5607/en.2016.25.1.1 · Cited by 243
Baarendse, P. J. J., Counotte, D. S., O'Donnell, P., & Vanderschuren, L. J. M. J. (2013) · Neuropsychopharmacology · doi:10.1038/npp.2013.47 · Cited by 206
The role of noradrenaline in cognition and cognitive disorders
Holland, N., Robbins, T. W., & Rowe, J. B. (2021) · Brain · doi:10.1093/brain/awab111 · Cited by 216
Self-citationSelective modulation of cortical state during spatial attention
Engel, T. A., Steinmetz, N. A., Gieselmann, M. A., Thiele, A., Moore, T., & Boahen, K. A. (2016) · Science · doi:10.1126/science.aag1420 · Cited by 207
Brigman, J. L., Mathur, P., Harvey-White, J., Izquierdo, A., Saksida, L. M., Bussey, T. J., Fox, S., Deneris, E., Murphy, D. L., & Holmes, A. (2010) · Cerebral Cortex · doi:10.1093/cercor/bhp266 · Cited by 184
Beyond working memory: the role of persistent activity in decision making
Curtis, C. E., & Lee, D. (2010) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2010.03.006 · Cited by 191
Adenosine hypothesis of schizophrenia – Opportunities for pharmacotherapy
Boison, D., Singer, P., Shen, H., Feldon, J., & Yee, B. K. (2011) · Neuropharmacology · doi:10.1016/j.neuropharm.2011.01.048 · Cited by 194
Bissonette, G. B., Powell, E. M., & Roesch, M. R. (2013) · Behavioural Brain Research · doi:10.1016/j.bbr.2013.04.037 · Cited by 207
Twenty-Five Lessons from Computational Neuromodulation
Dayan, P. (2012) · Neuron · doi:10.1016/j.neuron.2012.09.027 · Cited by 190
Noradrenergic modulation of cognition: Therapeutic implications
Chamberlain, S. R., & Robbins, T. W. (2013) · Journal of Psychopharmacology · doi:10.1177/0269881113480988 · Cited by 211
Self-citationPrefrontal and monoaminergic contributions to stop-signal task performance in rats
Bari, A., Mar, A. C., Theobald, D. E., Elands, S. A., Oganya, K. C. N. A., Eagle, D. M., & Robbins, T. W. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.1543-11.2011 · Cited by 188
Self-citationNoradrenergic Modulation of Fear Conditioning and Extinction
Giustino, T. F., & Maren, S. (2018) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2018.00043 · Cited by 203
Neuroscience insights improve neurorehabilitation of poststroke aphasia
Berthier, M. L., & Friedemann Pulvermüller, A. (2011) · Nature Reviews Neurology · doi:10.1038/nrneurol.2010.201 · Cited by 191
Prefrontal cortex executive processes affected by stress in health and disease
Girotti, M., Adler, S. M., Bulin, S. E., Fucich, E. A., Paredes, D., & Morilak, D. A. (2018) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2017.07.004 · Cited by 176
Shine, J. M., Aburn, M. J., Breakspear, M. J., & Poldrack, R. A. (2018) · eLife · doi:10.7554/elife.31130 · Cited by 183
Individual development and evolution: Experiential canalization of self-regulation.
Blair, C., & Raver, C. C. (2012) · Developmental Psychology · doi:10.1037/a0026472 · Cited by 190
Shields, G. S., Bonner, J. C., & Moons, W. G. (2015) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2015.04.017 · Cited by 193
Locus Coeruleus in time with the making of memories
Sara, S. J. (2015) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2015.07.004 · Cited by 156
The role of neuromodulators in selective attention
Noudoost, B., & Moore, T. (2011) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2011.10.006 · Cited by 161
Serotonin and decision making processes
Homberg, J. R. (2012) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2011.06.001 · Cited by 167
Senkowski, D., & Gallinat, J. (2015) · Biological Psychiatry · doi:10.1016/j.biopsych.2015.02.034 · Cited by 179
Cholinergic modulation of a specific memory function of prefrontal cortex
Croxson, P. L., Kyriazis, D. A., & Baxter, M. G. (2011) · Nature Neuroscience · doi:10.1038/nn.2971 · Cited by 167
Inagaki, T., Gautreaux, C., & Luine, V. N. (2010) · Hormones and Behavior · doi:10.1016/j.yhbeh.2010.05.013 · Cited by 178
Vonmoos, M., Hulka, L. M., Preller, K. H., Minder, F., Baumgartner, M. R., & Quednow, B. B. (2014) · Neuropsychopharmacology · doi:10.1038/npp.2014.71 · Cited by 160
Objective and subjective cognitive enhancing effects of mixed amphetamine salts in healthy people
Ilieva, I. P., Boland, J. R., & Farah, M. J. (2012) · Neuropharmacology · doi:10.1016/j.neuropharm.2012.07.021 · Cited by 171
Sensitivity of Locus Ceruleus Neurons to Reward Value for Goal-Directed Actions
Bouret, S., & Richmond, B. J. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.4553-14.2015 · Cited by 163
Dynamic network connectivity: a new form of neuroplasticity
Arnsten, A. F. T., Paspalas, C. D., Gamo, N. J., Yang, Y., & Wang, M. (2010) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2010.05.003 · Cited by 160
Self-citationNoradrenergic modulation of rhythmic neural activity shapes selective attention
Dahl, M. J., Mather, M., & Werkle‐Bergner, M. (2021) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2021.10.009 · Cited by 165
Neural correlates of cognitive control in gambling disorder: a systematic review of fMRI studies
Moccia, L., Pettorruso, M., De Crescenzo, F., De Risio, L., di Nuzzo, L., Martinotti, G., Bifone, A., Janiri, L., & Di Nicola, M. (2017) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2017.04.025 · Cited by 158
Hagena, H., Hansen, N., & Manahan‐Vaughan, D. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhv330 · Cited by 174
Llado-Pelfort, L., Santana, N., Ghisi, V., Artigas, F., & Celada, P. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhr220 · Cited by 156
The dynorphin/κ-opioid receptor system and its role in psychiatric disorders
Tejeda, H. A., Shippenberg, T. S., & Henriksson, R. (2011) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-011-0844-x · Cited by 161
Zeeb, F. D., & Winstanley, C. A. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.5597-10.2011 · Cited by 157
Ursache, A., The Family Life Project Investigators, Blair, C., Stifter, C., & Voegtline, K. (2013) · Developmental Psychology · doi:10.1037/a0027728 · Cited by 151
Costa, C., Sgobio, C., Siliquini, S., Tozzi, A., Tantucci, M., Ghiglieri, V., Filippo, M. D., Pendolino, V., de Iure, A., Marti, M., et al. (2012) · Brain · doi:10.1093/brain/aws101 · Cited by 149
Murty, V. P., Calabro, F. J., & Luna, B. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.07.034 · Cited by 167
Imburgio, M. J., & Orr, J. M. (2018) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2018.04.022 · Cited by 161
Relevance of Norepinephrine–Dopamine Interactions in the Treatment of Major Depressive Disorder
Mansari, M. E., Guiard, B. P., Chernoloz, O., Ghanbari, R., Katz, N., & Blier, P. (2010) · CNS Neuroscience & Therapeutics · doi:10.1111/j.1755-5949.2010.00146.x · Cited by 153
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
