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
Items 401–500 of 955
Sanna, F., Bratzu, J., Piludu, M. A., Corda, M. G., Melis, M. R., Giorgi, O., & Argiolas, A. (2017) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2017.00108 · Cited by 32
Majhi, S., Kumar, S., & Singh, L. (2022) · CNS & Neurological Disorders - Drug Targets · doi:10.2174/1871527321666220428134802 · Cited by 33
Depression: Cognition Relations after Stroke
Hommel, M., Carey, L. M., & Jaillard, A. S. (2013) · International Journal of Stroke · doi:10.1111/ijs.12057 · Cited by 34
Prefrontal deviations in function but not volume are putative endophenotypes for schizophrenia
Owens, S. F., Picchioni, M., Ettinger, U., McDonald, C., Walshe, M., Schmechtig, A., Murray, R. M., Rijsdijk, F. V., & Toulopoulou, T. (2012) · Brain · doi:10.1093/brain/aws138 · Cited by 31
New tricks for old dogmas: Optogenetic and designer receptor insights for Parkinson's disease
Vazey, E. M., & Aston‐Jones, G. (2013) · Brain Research · doi:10.1016/j.brainres.2013.01.021 · Cited by 31
Rajagopal, L., Massey, B. W., Michael, E., & Meltzer, H. Y. (2015) · Psychopharmacology · doi:10.1007/s00213-015-4137-1 · Cited by 30
Falconi‐Sobrinho, L. L., dos Anjos‐Garcia, T., de Oliveira, R., & Coimbra, N. C. (2017) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2017.09.002 · Cited by 31
Datta, D., Enwright, J. F., Arion, D., Paspalas, C. D., Morozov, Y. M., Lewis, D. A., & Arnsten, A. F. T. (2020) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2020.578483 · Cited by 31
Self-citationXu, S., Gullapalli, R. P., & Frost, D. O. (2014) · Schizophrenia Research · doi:10.1016/j.schres.2014.10.034 · Cited by 30
Serotonergic modulation of spatial working memory: predictions from a computational network model
Cano-Colino, M., Almeida, R., & Compte, A. (2013) · Frontiers in Integrative Neuroscience · doi:10.3389/fnint.2013.00071 · Cited by 34
Evers, E. A. T., Sambeth, A., Ramaekers, J. G., Riedel, W. J., & van der Veen, F. M. (2010) · Current Pharmaceutical Design · doi:10.2174/138161210791293060 · Cited by 31
Lin, H.-C., Pan, H.-C., Lin, S.-H., Lo, Y.-C., Shen, E. T.-H., Liao, L.-D., Liao, P.-H., Chien, Y.-W., Liao, K.-D., Jaw, F.-S., et al. (2016) · Frontiers in Neural Circuits · doi:10.3389/fncir.2015.00087 · Cited by 29
Dekeyne, A., Brocco, M., Loiseau, F., Gobert, A., Rivet, J., Cara, B. D., Cremers, T. I. F. H., Flik, G., Fone, K. C. F., Watson, D. J., et al. (2011) · Journal of Pharmacology and Experimental Therapeutics · doi:10.1124/jpet.111.187534 · Cited by 30
Bowirrat, A., Chen, T. J. H., Oscar‐Berman, M., Madigan, M. A., Chen, A. L., Bailey, J. A., Braverman, E. R., Kerner, M., Giordano, J., Morse, S. A., et al. (2012) · Molecular Neurobiology · doi:10.1007/s12035-012-8247-z · Cited by 32
Receptor and circuit mechanisms underlying differential procognitive actions of psychostimulants
Spencer, R. C., & Berridge, C. W. (2019) · Neuropsychopharmacology · doi:10.1038/s41386-019-0314-y · Cited by 31
Heal, D. J., & Smith, S. L. (2021) · Journal of Psychopharmacology · doi:10.1177/02698811211032475 · Cited by 33
Kodama, T., Hikosaka, K., Honda, Y., Kojima, T., & Watanabe, M. (2014) · Behavioural Brain Research · doi:10.1016/j.bbr.2014.02.009 · Cited by 30
Animal play and evolution: Seven timely research issues about enigmatic phenomena
Burghardt, G. M., Pellis, S. M., Schank, J. C., Smaldino, P. E., Vanderschuren, L. J. M. J., & Palagi, E. (2024) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2024.105617 · Cited by 32
Does COMT genotype influence the effects of d‐amphetamine on executive functioning?
Wardle, M. C., Hart, A. B., Palmer, A. A., & de Wit, H. (2013) · Genes, Brain and Behavior · doi:10.1111/gbb.12012 · Cited by 29
Ramon‐Duaso, C., Gener, T., Consegal, M., Fernández-Avilés, C., Gallego, J., Castarlenas, L., Swanson, M. S., de la Torre, R., Maldonado, R. J., Puig, M. V., et al. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhy164 · Cited by 32
Nilsson, S. R. O., Heath, C. J., Takillah, S., Didienne, S., Fejgin, K., Nielsen, V., Nielsen, J., Saksida, L. M., Mariani, J., Fauré, P., et al. (2018) · Translational Psychiatry · doi:10.1038/s41398-018-0295-3 · Cited by 31
Self-citationEvolutionary and neuroendocrine foundations of human aggression
Sarkar, A., & Wrangham, R. W. (2023) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2023.02.003 · Cited by 32
Del’Guidice, T., Lemasson, M., Etiévant, A., Manta, S., Magno, L. A. V., Escoffier, G., Roman, F. S., & Beaulieu, J. (2013) · Psychopharmacology · doi:10.1007/s00213-013-3212-8 · Cited by 30
Delta Opioid Receptors and Modulation of Mood and Emotion
Dripps, I. J., & Jutkiewicz, E. M. (2017) · Handbook of experimental pharmacology · doi:10.1007/164_2017_42 · Cited by 31
Novick, A. M., Forster, G. L., Hassell, J. E., Davies, D. R., Scholl, J. L., Renner, K. J., & Watt, M. J. (2015) · Neuropharmacology · doi:10.1016/j.neuropharm.2015.05.032 · Cited by 29
OLIVE, L. S., Telford, R. M., Westrupp, E. M., & Telford, R. D. (2023) · Child Development · doi:10.1111/cdev.14014 · Cited by 33
Effect of d-amphetamine on inhibition and motor planning as a function of baseline performance
Allman, A.-A., Benkelfat, C., Durand, F., Sibon, I., Dagher, A., Leyton, M., Baker, G. B., & O’Driscoll, G. A. (2010) · Psychopharmacology · doi:10.1007/s00213-010-1912-x · Cited by 28
Effects of mu opioid receptor antagonism on cognition in obese binge-eating individuals
Chamberlain, S. R., Mogg, K., Bradley, B. P., Koch, A., Dodds, C. M., Tao, W. X., Maltby, K., Sarai, B. K., Napolitano, A., Richards, D. B., et al. (2012) · Psychopharmacology · doi:10.1007/s00213-012-2778-x · Cited by 28
Simone, J. J., Green, M. R., Hodges, T. E., & McCormick, C. M. (2014) · Behavioural Brain Research · doi:10.1016/j.bbr.2014.11.012 · Cited by 30
Pharmacology of Economic and Social Decision Making
Crockett, M. J., & Fehr, E. (2013) · Elsevier eBooks · doi:10.1016/b978-0-12-416008-8.00014-0 · Cited by 29
(R)-fluoxetine enhances cognitive flexibility and hippocampal cell proliferation in mice
Marwari, S., & Dawe, G. S. (2018) · Journal of Psychopharmacology · doi:10.1177/0269881118754733 · Cited by 30
Anatomical and neurochemical bases of theory of mind in de novo Parkinson's Disease
Orso, B., Arnaldi, D., Famà, F., Girtler, N. G., Brugnolo, A., Doglione, E., Filippi, L., Massa, F., Peira, E., Bauckneht, M., et al. (2020) · Cortex · doi:10.1016/j.cortex.2020.06.012 · Cited by 28
Pharmacological treatment of cognitive deficits in nondementing mental health disorders
Robbins, T. W. (2019) · Dialogues in Clinical Neuroscience · doi:10.31887/dcns.2019.21.3/trobbins · Cited by 30
Self-citationDallérac, G. M., Li, X., Lecouflet, P., Morisot, N., Sacchi, S., Asselot, R., Pham, T. H., Potier, B., Watson, D. J., Schmidt, S., et al. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2023750118 · Cited by 27
Cerpa, J.-C., Piccin, A., Dehove, M., Lavigne, M., Kremer, E. J., Wolff, M., Parkes, S. L., & Coutureau, É. (2023) · eLife · doi:10.7554/elife.81623 · Cited by 27
Atorvastatin evokes a serotonergic system-dependent antidepressant-like effect in mice
Ludka, F. K., Constantino, L. C., Kuminek, G., Binder, L. B., Zomkowski, A. D. E., Cunha, M. P., Dal-Cim, T. A., Rodrigues, A. L. S., & Tasca, C. I. (2014) · Pharmacology Biochemistry and Behavior · doi:10.1016/j.pbb.2014.04.005 · Cited by 28
Vijayraghavan, S., Major, A. J., & Everling, S. (2016) · Cell Reports · doi:10.1016/j.celrep.2016.06.031 · Cited by 28
Gonzalez, D. A., Jia, T., Pinzón, J. H., Acevedo, S. F., Ojelade, S. A., Xu, B., Tay, N., Desrivières, S., Hernández, J. L., Banaschewski, T., et al. (2017) · Molecular Psychiatry · doi:10.1038/mp.2017.112 · Cited by 27
Bensmann, W., Zink, N., Roessner, V., Stock, A., & Beste, C. (2019) · Journal of Psychopharmacology · doi:10.1177/0269881119827815 · Cited by 28
Amplification and Suppression of Distinct Brainwide Activity Patterns by Catecholamines
van den Brink, R. L., Nieuwenhuis, S., & Donner, T. H. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.0514-18.2018 · Cited by 27
Yang, Y., Wang, K., Liu, S., Liu, H., Zhang, T., & Luo, J. (2023) · Journal of Global Health · doi:10.7189/jogh.13.04177 · Cited by 26
From neurons to brain networks, pharmacodynamics of stimulant medication for ADHD
Parlatini, V., Bellato, A., Murphy, D., & Cortese, S. (2024) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2024.105841 · Cited by 26
Leijenaar, J. F., Groeneveld, G. J., Klaassen, E. S., Leeuwis, A. E., Scheltens, P., Weinstein, H. C., van Gerven, J., Barkhof, F., van der Flier, W. M., & Prins, N. D. (2020) · Alzheimer s Research & Therapy · doi:10.1186/s13195-019-0567-z · Cited by 26
Morello, F., Võikar, V., Parkkinen, P., Panhelainen, A. E., Rosenholm, M., Makkonen, A., Rantamäki, T., Piepponen, P. T., Aitta‐aho, T., & Partanen, J. M. (2020) · Translational Psychiatry · doi:10.1038/s41398-020-01033-8 · Cited by 25
Zheng, K., Deng, Z., Qian, J., Chen, Y., Li, S., & Huang, T. (2022) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2022.884490 · Cited by 34
Acute Vagus Nerve Stimulation Facilitates Short Term Memory and Cognitive Flexibility in Rats
Driskill, C. M., Childs, J. E., Itmer, B., Rajput, J. S., & Kroener, S. (2022) · Brain Sciences · doi:10.3390/brainsci12091137 · Cited by 28
Obray, J. D., Landin, J. D., Vaughan, D. T., Scofield, M. D., & Chandler, L. J. (2022) · Addiction Neuroscience · doi:10.1016/j.addicn.2022.100044 · Cited by 25
Identification of Kalirin-7 as a Potential Post-Synaptic Density Signaling Hub
Kiraly, D. D., Stone, K. L., Colangelo, C., Abbott, T., Wang, Y., Mains, R. E., & Eipper, B. A. (2011) · Journal of Proteome Research · doi:10.1021/pr200088w · Cited by 26
Altered Reward Circuitry in the Norepinephrine Transporter Knockout Mouse
Gallagher, J. J., Zhang, X., Hall, F. S., Uhl, G. R., Bearer, E. L., & Jacobs, R. E. (2013) · PLoS ONE · doi:10.1371/journal.pone.0057597 · Cited by 25
Heal, D. J., Hallam, M., Prow, M., Gosden, J., Cheetham, S., Choi, Y. K., Tarazi, F., & Hutson, P. (2017) · Journal of Psychopharmacology · doi:10.1177/0269881117699607 · Cited by 28
Opriș, I. C., Fuqua, J. L., Gerhardt, G. A., Hampson, R. E., & Deadwyler, S. A. (2014) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2014.05.029 · Cited by 25
Pastuzyn, E. D., Chapman, D. E., Wilcox, K. S., & Keefe, K. A. (2011) · Neuropsychopharmacology · doi:10.1038/npp.2011.265 · Cited by 25
Tomm, R. J., Tse, M., Tobiansky, D. J., Schweitzer, H. R., Soma, K. K., & Floresco, S. (2018) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2018.08.020 · Cited by 24
Dopamine and Risky Decision-Making in Gambling Disorder
Peters, J., Vega, T. A., Weinstein, D., Mitchell, J. M., & Kayser, A. S. (2020) · eNeuro · doi:10.1523/eneuro.0461-19.2020 · Cited by 22
Social ties, fears and bias during the COVID-19 pandemic: Fragile and flexible mindsets
Tei, S., & Fujino, J. (2022) · Humanities and Social Sciences Communications · doi:10.1057/s41599-022-01210-8 · Cited by 25
Quinn, M. E., & Shields, G. S. (2023) · Clinical Psychological Science · doi:10.1177/21677026221149736 · Cited by 28
Andrzejewski, M. E., Spencer, R. C., Harris, R. L., Feit, E. C., McKee, B. L., & Berridge, C. W. (2014) · Neuropharmacology · doi:10.1016/j.neuropharm.2014.01.018 · Cited by 24
Becker, B., Androsch, L., Jahn, R. T., Alich, T. C., Striepens, N., Markett, S. A., Maier, W., & Hurlemann, R. (2013) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2013.00197 · Cited by 25
Treble‐Barna, A., Wade, S. L., Martin, L. J., Pilipenko, V. V., Yeates, K. O., Taylor, H. G., & Kurowski, B. G. (2017) · Journal of Neurotrauma · doi:10.1089/neu.2016.4840 · Cited by 25
Grégoire, S., Rivalan, M., Le Moine, C., & Dellu-Hagedorn, F. (2012) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2011.12.003 · Cited by 30
Navailles, S., Guillem, K., Vouillac‐Mendoza, C., & Ahmed, S. H. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhu112 · Cited by 26
Yano, S., Moseley, K., Fu, X., & Azen, C. G. (2016) · PLoS ONE · doi:10.1371/journal.pone.0160892 · Cited by 24
Neural Signatures of Rational and Heuristic Choice Strategies: A Single Trial ERP Analysis
Wichary, S., Magnuski, M., Oleksy, T., & Brzezicka, A. (2017) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2017.00401 · Cited by 27
A neural noise account of Gilles de la Tourette syndrome
Münchau, A. M., Colzato, L. S., AghajaniAfjedi, A., & Beste, C. (2021) · NeuroImage Clinical · doi:10.1016/j.nicl.2021.102654 · Cited by 28
Koevoet, D., Deschamps, P. K. H., & Kenemans, J. L. (2023) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.1078586 · Cited by 28
Hvoslef‐Eide, M., Oomen, C. A., Fisher, B. M., Heath, C. J., Robbins, T. W., Saksida, L. M., & Bussey, T. J. (2015) · Psychopharmacology · doi:10.1007/s00213-015-4038-3 · Cited by 28
Self-citationDampened dopamine‐mediated neuromodulation in prefrontal cortex of fragile X mice
Paul, K., Venkitaramani, D. V., & Cox, C. L. (2012) · The Journal of Physiology · doi:10.1113/jphysiol.2012.241067 · Cited by 25
Pathology of Fractionated Whole-Brain Irradiation in Rhesus Monkeys (Macaca mulatta)
Hanbury, D. B., Robbins, M. E. C., Bourland, J. D., Wheeler, K. T., Peiffer, A. M., Mitchell, E. L., Daunais, J. B., Deadwyler, S. A., & Cline, J. M. (2015) · Radiation Research · doi:10.1667/rr13898.1 · Cited by 24
Comodulation of dopamine and serotonin on prefrontal cortical rhythms: a theoretical study
Wang, D., & Wong‐Lin, K. (2013) · Frontiers in Integrative Neuroscience · doi:10.3389/fnint.2013.00054 · Cited by 24
Daulatzai, M. A. (2016) · Neurotoxicity Research · doi:10.1007/s12640-016-9643-3 · Cited by 27
Yu, J., Kwon, H., Cho, E., Jeon, J., Kang, R. H., Youn, K., Jun, M., Lee, Y. C., Ryu, J. H., & Kim, D. H. (2019) · Food and Chemical Toxicology · doi:10.1016/j.fct.2019.01.017 · Cited by 27
Grant, J. E., Hook, R., Valle, S., Chesivoir, E., & Chamberlain, S. R. (2021) · International Clinical Psychopharmacology · doi:10.1097/yic.0000000000000368 · Cited by 24
Pajkossy, P., Szöllősi, Á., Demeter, G., & Racsmány, M. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.00506 · Cited by 21
Acute Stress Shapes Creative Cognition in Trait Anxiety
Duan, H., Wang, X., Wang, Z., Xue, W., Kan, Y., Hu, W., & Zhang, F. (2019) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.01517 · Cited by 24
Arakawa, H. (2019) · Behavioural Brain Research · doi:10.1016/j.bbr.2019.112140 · Cited by 25
Inhibitory control dysfunction in parkinsonian impulse control disorders
Meyer, G. M., Spay, C., Beliakova, A., Gaugain, G., Pezzoli, G., Ballanger, B., Boulinguez, P., & Cilia, R. (2020) · Brain · doi:10.1093/brain/awaa318 · Cited by 25
The modulation of brain network integration and arousal during exploration
Tardiff, N., Medaglia, J. D., Bassett, D. S., & Thompson‐Schill, S. L. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118369 · Cited by 22
Critical thinking, executive functions and their potential relationship
Lizárraga, M. L. S. D. A., Baquedano, M. T. S. D. A., & Ardaiz, Ó. (2012) · Thinking Skills and Creativity · doi:10.1016/j.tsc.2012.04.008 · Cited by 27
Berridge, C., & Arnsten, A. (2015) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2015.01.002 · Cited by 24
Self-citationWhalley, H. C., Papmeyer, M., Romaniuk, L., Johnstone, E. C., Hall, J., Lawrie, S. M., Sussmann, J. E., & McIntosh, A. M. (2011) · Neuropsychopharmacology · doi:10.1038/npp.2011.272 · Cited by 26
Meneses, A., Ponce-López, T., Tellez, R., González, R., Castillo, C., & Gasbarri, A. (2010) · Behavioural Brain Research · doi:10.1016/j.bbr.2010.08.035 · Cited by 24
Evers, L. J. M., Curfs, L., Bakker, J. A., Boot, E., Alves, F. D. S., Abeling, N. G. G. M., Bierau, J., Drukker, M., & van Amelsvoort, T. (2014) · The International Journal of Neuropsychopharmacology · doi:10.1017/s1461145714000376 · Cited by 23
The Neuroscience of Human Decision-Making Through the Lens of Learning and Memory
Fellows, L. K. (2016) · Current topics in behavioral neurosciences · doi:10.1007/7854_2016_468 · Cited by 27
Vogelsang, D. A., & D’Esposito, M. (2018) · Frontiers in Neuroscience · doi:10.3389/fnins.2018.00242 · Cited by 25
Nguyen, T. M., Leow, A., & Ajilore, O. (2023) · Brain Sciences · doi:10.3390/brainsci13060959 · Cited by 25
Sable, H. J. K., Lester, D. B., Potter, J. L., Nolen, H. G., Cruthird, D. M., Estes, L. M., Johnson, A. D., Regan, S. L., Williams, M. T., & Vorhees, C. V. (2021) · Genes Brain & Behavior · doi:10.1111/gbb.12767 · Cited by 21
The Dopamine D5 Receptor Is Involved in Working Memory
Carr, G. V., Maltese, F., Sibley, D. R., Weinberger, D. R., & Papaleo, F. (2017) · Frontiers in Pharmacology · doi:10.3389/fphar.2017.00666 · Cited by 25
Wang, Q., Shao, F., & Wang, W. (2018) · Neural Plasticity · doi:10.1155/2018/9870985 · Cited by 21
Working to the Beat: A Self-Regulatory Framework Linking Music Characteristics to Job Performance
Keeler, K. R., & Cortina, J. M. (2018) · Academy of Management Review · doi:10.5465/amr.2016.0115 · Cited by 23
Jahn, C. I., Varazzani, C., Sallet, J., Walton, M. E., & Bouret, S. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa089 · Cited by 24
Optogenetically evoked gamma oscillations are disturbed by cocaine administration
Dilgen, J. E., Tompa, T., Saggu, S., Naselaris, T., & Lavı́n, A. (2013) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2013.00213 · Cited by 22
Morgan, C. A., Russell, B. A. H., McNeil, J., Maxwell, J., Snyder, P. J., Southwick, S. M., & Pietrzak, R. H. (2011) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617711000221 · Cited by 22
de Bartolomeis, A., Vellucci, L., Simone, G. D., Mazza, B., Barone, A., & Ciccarelli, M. (2023) · Cells · doi:10.3390/cells12040574 · Cited by 22
Montenegro, R. A., Okano, A. H., da Cunha, F. A., Fontes, E., & Farinatti, P. (2013) · International Journal of Sports Medicine · doi:10.1055/s-0033-1333769 · Cited by 20
Reichenbach, N., Herrmann, U., Kähne, T., Schicknick, H., Pielot, R., Naumann, M., Dieterich, D. C., Gundelfinger, E. D., Smalla, K., & Tischmeyer, W. (2015) · Proteome Science · doi:10.1186/s12953-015-0069-2 · Cited by 20
Meyer, G. M., Spay, C., Laurencin, C., Ballanger, B., Sescousse, G., & Boulinguez, P. (2019) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2019.01.008 · Cited by 22
Alonso, L., Peeva, P., Stasko, S., Bäder, M., Alenina, N. V., Winter, Y., & Rivalan, M. (2023) · iScience · doi:10.1016/j.isci.2023.105998 · Cited by 22
Prins, J., Westphal, K. G. C., Korte-Bouws, G. A. H., Quinton, M. S., Schreiber, R., Olivier, B., & Korte, S. M. (2010) · Pharmacology Biochemistry and Behavior · doi:10.1016/j.pbb.2010.10.001 · Cited by 21
Urban, K. R., & Gao, W. (2013) · Medical Hypotheses · doi:10.1016/j.mehy.2013.09.009 · Cited by 20
Evans, T., Jefferson, A., Byrnes, M. L., Walters, S., Ghosh, S., Mastaglia, F. L., Power, B., & Anderton, R. S. (2017) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2017.01.050 · Cited by 21
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
