Control of visual cortical signals by prefrontal dopamine
Open accessAbstract
The prefrontal cortex is thought to modulate sensory signals in posterior cortices during top-down attention, but little is known about the underlying neural circuitry. Experimental and clinical evidence indicate that prefrontal dopamine has an important role in cognitive functions, acting predominantly through D1 receptors. Here we show that dopamine D1 receptors mediate prefrontal control of signals in the visual cortex of macaques (Macaca mulatta). We pharmacologically altered D1-receptor-mediated activity in the frontal eye field of the prefrontal cortex and measured the effect on the responses of neurons in area V4 of the visual cortex. This manipulation was sufficient to enhance the magnitude, the orientation selectivity and the reliability of V4 visual responses to an extent comparable with the known effects of top-down attention. The enhancement of V4 signals was restricted to neurons with response fields overlapping the part of visual space affected by the D1 receptor manipulation. Altering either D1- or D2-receptor-mediated frontal eye field activity increased saccadic target selection but the D2 receptor manipulation did not enhance V4 signals. Our results identify a role for D1 receptors in mediating the control of visual cortical signals by the prefrontal cortex and suggest how processing in sensory areas could be altered in mental disorders involving prefrontal dopamine.
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
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?
D1 receptors in the FEF mediated prefrontal control by leading to enhanced and more selective neuronal responses in V4, comparable with known top-down attentional modulations.
“D1 receptors in the FEF mediated prefrontal control by leading to enhanced and more selective neuronal responses in V4 in a manner that was comparable with known top-down attentional modulations.”
From Selection history: How reward modulates selectivity of visual attention. (2018) · cites this paper as Noudoost and Moore (2011)
Dopamine may preferentially contribute to endogenous attention.
“whereas dopamine may preferentially contribute to endogenous attention [47].”
From Linking ADHD to the Neural Circuitry of Attention (2017) · cites this paper as [47]
With nonhuman primates we can interrogate how catecholaminergic circuits in the prefrontal cortex contribute to ADHD-linked behaviors.
“With nonhuman primates we can, for example, interrogate how catecholaminergic circuits in the prefrontal cortex contribute to ADHD-linked behaviors (e.g. [19,47])”
From Linking ADHD to the Neural Circuitry of Attention (2017) · cites this paper as [47]
D1 dopaminergic receptor activation in frontal eye fields enhances amplitude and selectivity of neural responses in cortical area V4.
“Moreover, D1 dopaminergic receptor activation in the frontal eye fields enhances the amplitude and selectivity of neural responses in cortical area V4 (REF.206).”
From Mechanisms underlying gain modulation in the cortex (2020) · cites this paper as [206]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
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 · see citing works
Cellular basis of working memory
Goldman-Rakic, P. S. (1995) · Neuron · doi:10.1016/0896-6273(95)90304-6 · Cited by 2,663 · see citing works
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 · see citing works
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 · see citing works
Effects of Attention on Orientation-Tuning Functions of Single Neurons in Macaque Cortical Area V4
McAdams, C. J., & Maunsell, J. H. R. (1999) · Journal of Neuroscience · doi:10.1523/jneurosci.19-01-00431.1999 · Cited by 1,214 · see citing works
High-frequency, long-range coupling between prefrontal and visual cortex during attention
Gregoriou, G. G., Gotts, S. J., Zhou, H., & Desimone, R. (2009) · Science · doi:10.1126/science.1171402 · Cited by 1,194 · see citing works
Attentional modulation of visual processing
Reynolds, J. H., & Chelazzi, L. (2004) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.26.041002.131039 · Cited by 1,158 · see citing works
Selective gating of visual signals by microstimulation of frontal cortex
Moore, T., & Armstrong, K. M. (2003) · Nature · doi:10.1038/nature01341 · Cited by 1,156 · see citing works
Self-citationInverted-U dopamine D1 receptor actions on prefrontal neurons engaged in working memory
Vijayraghavan, S., Wang, M., Birnbaum, S. G., Williams, G. V., & Arnsten, A. F. T. (2007) · Nature Neuroscience · doi:10.1038/nn1846 · Cited by 1,013 · see citing works
The Neuropsychopharmacology of Fronto-Executive Function: Monoaminergic Modulation
Robbins, T. W., & Arnsten, A. F. T. (2009) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.051508.135535 · Cited by 957 · see citing works
Neurocomputational models of working memory
Durstewitz, D., Seamans, J. K., & B, T. J. S. A. (2000) · Nature Neuroscience · doi:10.1038/81460 · Cited by 710 · see citing works
Differential attention-dependent response modulation across cell classes in macaque visual area V4
Mitchell, J. F., Sundberg, K. A., & Reynolds, J. H. (2007) · Neuron · doi:10.1016/j.neuron.2007.06.018 · Cited by 665 · see citing works
Guarding the gateway to cortex with attention in visual thalamus
McAlonan, K., Cavanaugh, J., & Wurtz, R. H. (2008) · Nature · doi:10.1038/nature07382 · Cited by 503 · see citing works
Acetylcholine contributes through muscarinic receptors to attentional modulation in V1
Herrero, J. L., Roberts, M. J., Delicato, L. S., Gieselmann, M. A., Dayan, P., & Thiele, A. (2008) · Nature · doi:10.1038/nature07141 · Cited by 459 · see citing works
Neural basis of saccade target selection in frontal eye field during visual search
Schall, J. D., & Hanes, D. P. (1993) · Nature · doi:10.1038/366467a0 · Cited by 427 · see citing works
Neuronal Basis of Covert Spatial Attention in the Frontal Eye Field
Thompson, K. G., Biscoe, K. L., & Sato, T. (2005) · Journal of Neuroscience · doi:10.1523/jneurosci.0741-05.2005 · Cited by 416 · see citing works
Lidow, M. S., Goldman-Rakic, P. S., Gallager, D. W., & Rakic, P. (1991) · Neuroscience · doi:10.1016/0306-4522(91)90003-7 · Cited by 394 · see citing works
Visual and oculomotor selection: links, causes and implications for spatial attention.
Awh, E., Armstrong, K. M., & Moore, T. (2006) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2006.01.001 · Cited by 340 · see citing works
Self-citationMunoz, D. P., Armstrong, I. T., Hampton, K. A., & Moore, K. D. (2003) · Journal of Neurophysiology · doi:10.1152/jn.00192.2003 · Cited by 330 · see citing works
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 329 · see citing works
Self-citationSelective D2 receptor actions on the functional circuitry of working memory
Wang, M., Vijayraghavan, S., & Goldman-Rakic, P. S. (2004) · Science · doi:10.1126/science.1091162 · Cited by 319 · see citing works
Santana, N., Mengod, G., & Artigas, F. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhn134 · Cited by 231 · see citing works
SCH 23390: The First Selective Dopamine D1‐Like Receptor Antagonist
Bourne, J. A. (2001) · CNS Drug Reviews · doi:10.1111/j.1527-3458.2001.tb00207.x · Cited by 196 · see citing works
Selection and Maintenance of Spatial Information by Frontal Eye Field Neurons
Armstrong, K. M., Chang, M. H., & Moore, T. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.4465-09.2009 · Cited by 139 · see citing works
Self-citationOhara, S. (2009) · Frontiers in Neuroanatomy · doi:10.3389/neuro.05.001.2009 · Cited by 122 · see citing works
Pouget, P. (2009) · Frontiers in Neuroanatomy · doi:10.3389/neuro.05.002.2009 · Cited by 118 · see citing works
Huntsman, M. M., Isackson, P. J., & Jones, E. G. (1994) · Journal of Neuroscience · doi:10.1523/jneurosci.14-04-02236.1994 · Cited by 100 · see citing works
Frontal Eye Field Activity Enhances Object Identification During Covert Visual Search
Monosov, I. E., & Thompson, K. G. (2009) · Journal of Neurophysiology · doi:10.1152/jn.00750.2009 · Cited by 68 · see citing works
Cortical inhibitory circuits in eye‐movement generation
Schiller, P. H., & Tehovnik, E. J. (2003) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2003.03036.x · Cited by 56 · see citing works
A reliable microinjectrode system for use in behaving monkeys
Noudoost, B., & Moore, T. (2010) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2010.10.009 · Cited by 35 · see citing works
Self-citationLidow (1998) · doi:10.1002/(sici)1098-2396(199801)28:1
Flagged first, then by citations
Cited by
Sorted by citations
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 · see citing works
Long-range and local circuits for top-down modulation of visual cortex processing
Zhang, S., Xu, M., Kamigaki, T., Hoang Do, J. P., Chang, W.-C., Jenvay, S., Miyamichi, K., Luo, L., & Dan, Y. (2014) · Science · doi:10.1126/science.1254126 · Cited by 804 · see citing works
Neuromodulation of Brain States
Lee, S., & Dan, Y. (2012) · Neuron · doi:10.1016/j.neuron.2012.09.012 · Cited by 666 · see citing works
Prefrontal cortical regulation of brainwide circuit dynamics and reward-related behavior
Ferenczi, E. A., Zalocusky, K. A., Liston, C., Grosenick, L., Warden, M. R., Amatya, D., Katovich, K., Mehta, H., Patenaude, B., Ramakrishnan, C., et al. (2016) · Science · doi:10.1126/science.aac9698 · Cited by 535 · see citing works
Dopamine and Cognitive Control in Prefrontal Cortex
Ott, T., & Nieder, A. (2019) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2018.12.006 · Cited by 530 · see citing works
Neural mechanisms of selective visual attention.
Moore, T., & Zirnsak, M. (2017) · Annual Review of Psychology · doi:10.1146/annurev-psych-122414-033400 · Cited by 471 · see citing works
Self-citationRevisiting the role of persistent neural activity during working memory
Sreenivasan, K. K., Curtis, C. E., & D’Esposito, M. (2014) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2013.12.001 · Cited by 433 · see citing works
All in a Sniff: Olfaction as a Model for Active Sensing
Wachowiak, M. (2011) · Neuron · doi:10.1016/j.neuron.2011.08.030 · Cited by 353 · see citing works
Thiele, A., & Bellgrove, M. A. (2018) · Neuron · doi:10.1016/j.neuron.2018.01.008 · Cited by 350 · see citing works
Selection history: How reward modulates selectivity of visual attention.
Failing, M., & Theeuwes, J. (2018) · Psychonomic Bulletin & Review · doi:10.3758/s13423-017-1380-y · Cited by 345 · see citing works
“Corroborating evidence comes from Noudoost and Moore (2011), who pharmacologically altered the dopamine receptor activity in the FEF of the prefrontal cortex and measured its effect on extrastriate area V4.”
BackgroundNeural Dedifferentiation in the Aging Brain
Koen, J. D., & Rugg, M. D. (2019) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2019.04.012 · Cited by 340 · see citing works
Neuronal Mechanisms of Visual Attention
Maunsell, J. H. R. (2015) · Annual Review of Vision Science · doi:10.1146/annurev-vision-082114-035431 · Cited by 332 · see citing works
Mechanisms underlying gain modulation in the cortex
Ferguson, K. A., & Cardin, J. A. (2020) · Nature Reviews Neuroscience · doi:10.1038/s41583-019-0253-y · Cited by 327 · see citing works
Dopamine enhances signal-to-noise ratio in cortical-brainstem encoding of aversive stimuli
Weele, C. M. V., Siciliano, C. A., Matthews, G. A., Namburi, P., Izadmehr, E. M., Espinel, I. C., Nieh, E. H., Schut, E. H. S., Padilla-Coreano, N., Burgos-Robles, A., et al. (2018) · Nature · doi:10.1038/s41586-018-0682-1 · Cited by 288 · see citing works
Waking and dreaming consciousness: neurobiological and functional considerations.
Hobson, J. A., & Friston, K. J. (2012) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2012.05.003 · Cited by 287 · see citing works
Distinct neural mechanisms of distractor suppression in the frontal and parietal lobe
Suzuki, M., & Gottlieb, J. (2013) · Nature Neuroscience · doi:10.1038/nn.3282 · Cited by 281 · see citing works
Communication between Brain Areas Based on Nested Oscillations
Bonnefond, M., Kästner, S., & Jensen, O. B. (2017) · eNeuro · doi:10.1523/eneuro.0153-16.2017 · Cited by 270 · see citing works
Cortical circuits for the control of attention
Miller, E. K., & Buschman, T. J. (2012) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2012.11.011 · Cited by 261 · see citing works
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 · see citing works
Self-citationDynamic Brains and the Changing Rules of Neuroplasticity: Implications for Learning and Recovery
Voss, P., Thomas, M. E., Cisneros-Franco, J. M., & de Villers‐Sidani, E. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.01657 · Cited by 245 · see citing works
Organization of long-range inputs and outputs of frontal cortex for top-down control
Zhang, S., Xu, M., Chang, W.-C., Ma, C., Hoang Do, J. P., Jeong, D., Lei, T., Fan, J. L., & Dan, Y. (2016) · Nature Neuroscience · doi:10.1038/nn.4417 · Cited by 242 · see citing works
Attention, learning, and the value of information
Gottlieb, J. (2012) · Neuron · doi:10.1016/j.neuron.2012.09.034 · Cited by 241 · see citing works
“…feedback influences—driving the perceptual effects of attention that are expressed either in visual neural responses (Moore and Armstrong, 2003; Noudoost and Moore, 2011) or in psychophysical reports (Balan and Got-tlieb, 2009; Wardak et al., 2006; Wardak et al., 2004). showing some of the…”
BackgroundNeuromodulatory Systems and Their Interactions: A Review of Models, Theories, and Experiments
Avery, M. C., & Krichmar, J. L. (2017) · Frontiers in Neural Circuits · doi:10.3389/fncir.2017.00108 · Cited by 231 · see citing works
Cell-Type-Specific Synchronization of Neural Activity in FEF with V4 during Attention
Gregoriou, G. G., Gotts, S. J., & Desimone, R. (2012) · Neuron · doi:10.1016/j.neuron.2011.12.019 · Cited by 229 · see citing works
Gee, S., Ellwood, I., Patel, T., Luongo, F., Deisseroth, K., & Sohal, V. S. (2012) · The Journal of Neuroscience · doi:10.1523/jneurosci.5835-11.2012 · Cited by 214 · see citing works
Selective 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 · see citing works
Self-citationCools, R., & Arnsten, A. F. T. (2021) · Neuropsychopharmacology · doi:10.1038/s41386-021-01100-8 · Cited by 206 · see citing works
Cerebral blood flow predicts differential neurotransmitter activity
Dukart, J., Holiga, Š., Chatham, C. H., Hawkins, P. C. T., Forsyth, A., McMillan, R. L., Myers, J., Lingford-Hughes, A. R., Nutt, D., Merlo‐Pich, E., et al. (2018) · Scientific Reports · doi:10.1038/s41598-018-22444-0 · Cited by 203 · see citing works
Neural Mechanisms of Incentive Salience in Naturalistic Human Vision
Hickey, C., & Peelen, M. V. (2015) · Neuron · doi:10.1016/j.neuron.2014.12.049 · Cited by 201 · see citing works
Pupil-Linked Arousal Determines Variability in Perceptual Decision Making
Murphy, P. R., Vandekerckhove, J., & Nieuwenhuis, S. (2014) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1003854 · Cited by 197 · see citing works
Visual space is compressed in prefrontal cortex before eye movements
Zirnsak, M., Steinmetz, N. A., Noudoost, B., Xu, K. Z., & Moore, T. (2014) · Nature · doi:10.1038/nature13149 · Cited by 195 · see citing works
Self-citationPaneri, S., & Gregoriou, G. G. (2017) · Frontiers in Neuroscience · doi:10.3389/fnins.2017.00545 · Cited by 192 · see citing works
Lesions of prefrontal cortex reduce attentional modulation of neuronal responses and synchrony in V4
Gregoriou, G. G., Rossi, A. F., Ungerleider, L. G., & Desimone, R. (2014) · Nature Neuroscience · doi:10.1038/nn.3742 · Cited by 177 · see citing works
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 · see citing works
Self-citationLinking ADHD to the Neural Circuitry of Attention
Mueller, A., Hong, D. S., Shepard, S., & Moore, T. (2017) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2017.03.009 · Cited by 158 · see citing works
Self-citationMacpherson, T., Churchland, A. K., Sejnowski, T., DiCarlo, J. J., Kamitani, Y., Takahashi, H., & Hikida, T. (2021) · Neural Networks · doi:10.1016/j.neunet.2021.09.018 · Cited by 157 · see citing works
Herrero, J. L., Gieselmann, M. A., Sanayei, M., & Thiele, A. (2013) · Neuron · doi:10.1016/j.neuron.2013.03.029 · Cited by 151 · see citing works
It was the best of times, it was the worst of times: A psychophysiologist's view of cognitive aging
Fabiani, M. (2012) · Psychophysiology · doi:10.1111/j.1469-8986.2011.01331.x · Cited by 150 · see citing works
Dopamine’s Actions in Primate Prefrontal Cortex: Challenges for Treating Cognitive Disorders
Arnsten, A. F. T., Wang, M., & Paspalas, C. D. (2015) · Pharmacological Reviews · doi:10.1124/pr.115.010512 · Cited by 149 · see citing works
Monoaminergic Neuromodulation of Sensory Processing
Jacob, S. N., & Nienborg, H. (2018) · Frontiers in Neural Circuits · doi:10.3389/fncir.2018.00051 · Cited by 143 · see citing works
The neural instantiation of a priority map
Bisley, J. W., & Mirpour, K. (2019) · Current Opinion in Psychology · doi:10.1016/j.copsyc.2019.01.002 · Cited by 142 · see citing works
Spatial working memory alters the efficacy of input to visual cortex
Merrikhi, Y., Clark, K., Albarran, E., Parsa, M., Zirnsak, M., Moore, T., & Noudoost, B. (2017) · Nature Communications · doi:10.1038/ncomms15041 · Cited by 134 · see citing works
Self-citationPrefrontal Control of Visual Distraction
Cosman, J. D., Lowe, K. A., Zinke, W., Woodman, G. F., & Schall, J. D. (2018) · Current Biology · doi:10.1016/j.cub.2017.12.023 · Cited by 123 · see citing works
Remote, brain region–specific control of choice behavior with ultrasonic waves
Kubanek, J., Brown, J., Ye, P. P., Butts, K., Moore, T., & Newsome, W. T. (2020) · Science Advances · doi:10.1126/sciadv.aaz4193 · Cited by 120 · see citing works
Self-citationCue-Evoked Dopamine Promotes Conditioned Responding during Learning
Morrens, J., Aydın, Ç., van Rensburg, A. J., Rabell, J. E., & Haesler, S. (2020) · Neuron · doi:10.1016/j.neuron.2020.01.012 · Cited by 118 · see citing works
Dopamine neurons code subjective sensory experience and uncertainty of perceptual decisions
de Lafuente, V., & Romo, R. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1117636108 · Cited by 117 · see citing works
Distinct Representations of Cognitive and Motivational Signals in Midbrain Dopamine Neurons
Matsumoto, M., & Takada, M. (2013) · Neuron · doi:10.1016/j.neuron.2013.07.002 · Cited by 117 · see citing works
Dopaminergic Reward Signals Selectively Decrease fMRI Activity in Primate Visual Cortex
Arsenault, J. T., Nelissen, K., Jarraya, B., & Vanduffel, W. (2013) · Neuron · doi:10.1016/j.neuron.2013.01.008 · Cited by 117 · see citing works
Millan, M. J., & Bales, K. L. (2013) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2013.09.012 · Cited by 116 · see citing works
A dopamine gradient controls access to distributed working memory in the large-scale monkey cortex
Froudist‐Walsh, S., Bliss, D. P., Ding, X., Rapan, L., Niu, M., Knoblauch, K., Zilles, K., Kennedy, H., Palomero‐Gallagher, N., & Wang, X. (2021) · Neuron · doi:10.1016/j.neuron.2021.08.024 · Cited by 115 · see citing works
Tremblay, S., Pieper, F., Sachs, A. J., & Martínez-Trujillo, J. (2014) · Neuron · doi:10.1016/j.neuron.2014.11.021 · Cited by 113 · see citing works
Steinmetz, N. A., & Moore, T. (2014) · Neuron · doi:10.1016/j.neuron.2014.06.014 · Cited by 104 · see citing works
Self-citationMu, Y., Li, X., Zhang, B., & Du, J. (2012) · Neuron · doi:10.1016/j.neuron.2012.05.035 · Cited by 103 · see citing works
Katsuki, F. (2012) · Frontiers in Integrative Neuroscience · doi:10.3389/fnint.2012.00017 · Cited by 103 · see citing works
The role of prefrontal catecholamines in attention and working memory
Clark, K., & Noudoost, B. (2014) · Frontiers in Neural Circuits · doi:10.3389/fncir.2014.00033 · Cited by 101 · see citing works
Self-citationA functional hierarchy within the parietofrontal network in stimulus selection and attention control
Ibos, G., Duhamel, J.-R., & Ben Hamed, S. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.4058-12.2013 · Cited by 97 · see citing works
Prefrontal Contributions to Attention and Working Memory
Bahmani, Z., Clark, K., Merrikhi, Y., Mueller, A. L., Pettine, W. W., Vanegas, M. I., Moore, T., & Noudoost, B. (2019) · Current topics in behavioral neurosciences · doi:10.1007/7854_2018_74 · Cited by 96 · see citing works
Self-citationCatecholamines alter the intrinsic variability of cortical population activity and perception
Pfeffer, T. A., Avrămiea, A.-E., Nolte, G., Engel, A. K., Linkenkaer‐Hansen, K., & Donner, T. H. (2018) · PLoS Biology · doi:10.1371/journal.pbio.2003453 · Cited by 93 · see citing works
More than Just a “Motor”: Recent Surprises from the Frontal Cortex
Ebbesen, C. L., Insanally, M. N., Kopec, C. D., Murakami, M., Saiki, A., & Erlich, J. C. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.1671-18.2018 · Cited by 90 · see citing works
Dopamine tunes prefrontal outputs to orchestrate aversive processing
Weele, C. M. V., Siciliano, C. A., & Tye, K. M. (2018) · Brain Research · doi:10.1016/j.brainres.2018.11.044 · Cited by 89 · see citing works
Visuomotor Functions in the Frontal Lobe
Schall, J. D. (2015) · Annual Review of Vision Science · doi:10.1146/annurev-vision-082114-035317 · Cited by 89 · see citing works
The effects of the dopamine agonist rotigotine on hemispatial neglect following stroke
Gorgoraptis, N., Mah, Y., Machner, B., Singh‐Curry, V., Malhotra, P., Hadji-Michael, M., Cohen, D., Simister, R. J., Nair, A., Kulinskaya, E., et al. (2012) · Brain · doi:10.1093/brain/aws154 · Cited by 89 · see citing works
Dopamine Receptors Differentially Enhance Rule Coding in Primate Prefrontal Cortex Neurons
Ott, T., Jacob, S. N., & Nieder, A. (2014) · Neuron · doi:10.1016/j.neuron.2014.11.012 · Cited by 88 · see citing works
A temporal dependency account of attentional inhibition in oculomotor control
Weaver, M. D., van Zoest, W., & Hickey, C. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.11.004 · Cited by 87 · see citing works
Saccades and shifting receptive fields: anticipating consequences or selecting targets?
Zirnsak, M., & Moore, T. (2014) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2014.10.002 · Cited by 86 · see citing works
Self-citationThe cost of dopamine for dynamic cognitive control
Cools, R. (2015) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2015.05.007 · Cited by 79 · see citing works
Multiple influences of reward on perception and attention
Pessoa, L. (2014) · Visual Cognition · doi:10.1080/13506285.2014.974729 · Cited by 77 · see citing works
Early-stage visual perception impairment in schizophrenia, bottom-up and back again
Adámek, P., Langová, V., & Horáček, J. (2022) · Schizophrenia · doi:10.1038/s41537-022-00237-9 · Cited by 76 · see citing works
Cooke, S. F., & Bear, M. F. (2011) · Biological Psychiatry · doi:10.1016/j.biopsych.2011.09.006 · Cited by 74 · see citing works
Soltani, A., Noudoost, B., & Moore, T. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1221236110 · Cited by 73 · see citing works
Self-citationHu, F., Kamigaki, T., Zhang, Z., Zhang, S., Dan, U., & Dan, Y. (2019) · Neuron · doi:10.1016/j.neuron.2019.09.019 · Cited by 72 · see citing works
Dopamine Regulates Two Classes of Primate Prefrontal Neurons That Represent Sensory Signals
Jacob, S. N., Ott, T., & Nieder, A. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.0210-13.2013 · Cited by 65 · see citing works
Visual attention: Linking prefrontal sources to neuronal and behavioral correlates
Clark, K., Squire, R. F., Merrikhi, Y., & Noudoost, B. (2015) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2015.06.006 · Cited by 64 · see citing works
Self-citationAlavash, M., Lim, S.-J., Thiel, C. M., Sehm, B., Deserno, L., & Obleser, J. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.01.048 · Cited by 64 · see citing works
Gratton, C., Yousef, S., Aarts, E., Wallace, D. L., D’Esposito, M., & Silver, M. A. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.2405-16.2017 · Cited by 63 · see citing works
Neurochemistry of Visual Attention
Lockhofen, D. E. L., & Mulert, C. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.643597 · Cited by 62 · see citing works
Contributions of cortical feedback to sensory processing in primary visual cortex
Petro, L. S., Vizioli, L., & Muckli, L. (2014) · Frontiers in Psychology · doi:10.3389/fpsyg.2014.01223 · Cited by 61 · see citing works
Comparing frontal eye field and superior colliculus contributions to covert spatial attention
Bollimunta, A., Bogadhi, A. R., & Krauzlis, R. J. (2018) · Nature Communications · doi:10.1038/s41467-018-06042-2 · Cited by 61 · see citing works
Top-down coordination of local cortical state during selective attention
van Kempen, J., Gieselmann, M. A., Boyd, M., Steinmetz, N. A., Moore, T., Engel, T. A., & Thiele, A. (2021) · Neuron · doi:10.1016/j.neuron.2020.12.013 · Cited by 61 · see citing works
Self-citationTop-down modulation in human visual cortex predicts the stability of a perceptual illusion
Kloosterman, N. A., Meindertsma, T., Hillebrand, A., van Dijk, B. W., Lamme, V. A. F., & Donner, T. H. (2014) · Journal of Neurophysiology · doi:10.1152/jn.00338.2014 · Cited by 60 · see citing works
Coordinated Activity of Ventral Tegmental Neurons Adapts to Appetitive and Aversive Learning
Kim, Y., Wood, J. T., & Moghaddam, B. (2012) · PLoS ONE · doi:10.1371/journal.pone.0029766 · Cited by 59 · see citing works
Parietal Cortex Regulates Visual Salience and Salience-Driven Behavior
Chen, X., Zirnsak, M., Vega, G. M., Govil, E., Lomber, S. G., & Moore, T. (2020) · Neuron · doi:10.1016/j.neuron.2020.01.016 · Cited by 58 · see citing works
Self-citationDopamine-Induced Dissociation of BOLD and Neural Activity in Macaque Visual Cortex
Zaldivar, D., Rauch, A., Whittingstall, K., Logothetis, N. K., & Goense, J. B. M. (2014) · Current Biology · doi:10.1016/j.cub.2014.10.006 · Cited by 57 · see citing works
Sridharan, D., Steinmetz, N. A., Moore, T., & Knudsen, E. I. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.4505-14.2017 · Cited by 57 · see citing works
Self-citationDopamine Activation Preserves Visual Motion Perception Despite Noise Interference of Human V5/MT
Yousif, N., Fu, R. Z., Bourquin, B. A. E. E., Bhrugubanda, V., Schultz, S. R., & Seemungal, B. M. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.4452-15.2016 · Cited by 54 · see citing works
Dopamine Modulates the Efficiency of Sensory Evidence Accumulation During Perceptual Decision Making
Beste, C., Adelhöfer, N., Gohil, K., Passow, S., Roessner, V., & Li, S. (2018) · The International Journal of Neuropsychopharmacology · doi:10.1093/ijnp/pyy019 · Cited by 54 · see citing works
Srinath, R., Ruff, D. A., & Cohen, M. R. (2021) · Current Biology · doi:10.1016/j.cub.2021.09.076 · Cited by 53 · see citing works
Conductive Polymer Enabled Biostable Liquid Metal Electrodes for Bioelectronic Applications
Lim, T., Kim, M., Akbarian, A., Kim, J., Tresco, P. A., & Zhang, H. (2022) · Advanced Healthcare Materials · doi:10.1002/adhm.202102382 · Cited by 53 · see citing works
The predictive mind and the experience of visual art work
Kesner, L. (2014) · Frontiers in Psychology · doi:10.3389/fpsyg.2014.01417 · Cited by 53 · see citing works
Wang, M., Datta, D., Enwright, J. F., Galvin, V. C., Yang, S., Paspalas, C. D., Kozak, R., Gray, D. L., Lewis, D. A., & Arnsten, A. F. T. (2019) · Neuropharmacology · doi:10.1016/j.neuropharm.2019.03.001 · Cited by 53 · see citing works
The interdependence of attention, working memory and gaze control: behavior and neural circuitry
Jonikaitis, D., & Moore, T. (2019) · Current Opinion in Psychology · doi:10.1016/j.copsyc.2019.01.012 · Cited by 53 · see citing works
Self-citationPro‐Saccades Predict Cognitive Decline in Parkinson's Disease: ICICLE‐PD
Stuart, S., Lawson, R. A., Yarnall, A. J., Nell, J. M., Alcock, L., Duncan, G. W., Khoo, T. K., Barker, R. A., Rochester, L., Burn, D. J., et al. (2019) · Movement Disorders · doi:10.1002/mds.27813 · Cited by 52 · see citing works
Working Memory Enhances Cortical Representations via Spatially Specific Coordination of Spike Times
Bahmani, Z., Daliri, M. R., Merrikhi, Y., Clark, K., & Noudoost, B. (2018) · Neuron · doi:10.1016/j.neuron.2018.01.012 · Cited by 51 · see citing works
Self-citationArnsten, A. F. T., & Wang, M. (2016) · Annual Review of Pharmacology and Toxicology · doi:10.1146/annurev-pharmtox-010715-103617 · Cited by 50 · see citing works
Ranganath, A., & Jacob, S. N. (2015) · The Neuroscientist · doi:10.1177/1073858415602850 · Cited by 50 · see citing works
Visual Attention in the Prefrontal Cortex
Martínez-Trujillo, J. (2022) · Annual Review of Vision Science · doi:10.1146/annurev-vision-100720-031711 · Cited by 49 · see citing works
Jacob, S. N., Stalter, M., & Nieder, A. (2016) · Nature Communications · doi:10.1038/ncomms13218 · Cited by 49 · see citing works
Interaction between Spatial and Feature Attention in Posterior Parietal Cortex
Ibos, G., & Freedman, D. J. (2016) · Neuron · doi:10.1016/j.neuron.2016.07.025 · Cited by 48 · see citing works
Asl, M. M., Vahabie, A., & Valizadeh, A. (2018) · Basic and Clinical Neuroscience Journal · doi:10.32598/bcn.9.10.125 · Cited by 48 · see citing works
Common and distinct neural mechanisms of attention
Xia, R., Chen, X., Engel, T. A., & Moore, T. (2024) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2024.01.005 · Cited by 47 · see citing works
Self-citation
- Authors
- Noudoost, B., & Moore, T.
- Affiliations
- Howard Hughes Medical Institute (US)
- Corresponding author
- Noudoost, Behrad
- Venue
- Nature
- Published
- 2011-05-15
- Volume
- 474
- Issue
- 7351
- Pages
- 372-375
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC3117113
- OpenAlex
- W2008506107
- Cited by
- 324
- References
- 31
- Citations by year
- 2026: 11 · 2025: 16 · 2024: 13 · 2023: 22 · 2022: 16 · 2021: 25 · 2020: 21 · 2019: 23 · 2018: 31 · 2017: 24 · 2016: 24 · 2015: 21 · 2014: 27 · 2013: 20 · 2012: 24
- FWCI
- 12.50
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- Howard Hughes Medical Institute
- National Eye Institute (EY014924, R01EY014924, R56EY014924)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Keywords
- prefrontal dopamine, dopamine D1 receptor, dopamine D2 receptor, frontal eye field, top-down attention, orientation selectivity, macaque
- MeSH terms
- Animals, Benzazepines, Dopamine, Macaca mulatta, Muscimol, Neurons, Saccades, Visual Cortex, Visual Perception, Prefrontal Cortex, Receptors, Dopamine D1, GABA-A Receptor Agonists
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
