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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.
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“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)
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“whereas dopamine may preferentially contribute to endogenous attention [47].”
From Linking ADHD to the Neural Circuitry of Attention (2017) · cites this paper as [47]
In the citing paper
“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]
In the citing paper
“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]
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Citations
Cites
An Integrative Theory of Prefrontal Cortex Function
Miller, E. K., & Cohen, J. D. (2001) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.24.1.167 · Cited by 12,803
Cellular basis of working memory
Goldman-Rakic, P. S. (1995) · Neuron · doi:10.1016/0896-6273(95)90304-6 · Cited by 2,663
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
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
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 1,218
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
Selective gating of visual signals by microstimulation of frontal cortex
Moore, T., & Armstrong, K. M. (2003) · Nature · doi:10.1038/nature01341 · Cited by 1,194
Self-citationAttentional 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
Inverted-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
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
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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
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
Neuromodulation of Brain States
Lee, S., & Dan, Y. (2012) · Neuron · doi:10.1016/j.neuron.2012.09.012 · Cited by 697
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
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
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
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 456
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
Thiele, A., & Bellgrove, M. A. (2018) · Neuron · doi:10.1016/j.neuron.2018.01.008 · Cited by 350
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
“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 362
Neuronal Mechanisms of Visual Attention
Maunsell, J. H. R. (2015) · Annual Review of Vision Science · doi:10.1146/annurev-vision-082114-035431 · Cited by 346
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
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 305
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
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
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 302
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
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
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 285
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
Attention, learning, and the value of information
Gottlieb, J. (2012) · Neuron · doi:10.1016/j.neuron.2012.09.034 · Cited by 241
“…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 250
Cell-type specific synchronization of neural activity in FEF with V4 during attention
Gregoriou, G., Gotts, S., & Desimone, R. (2012) · Neuron · doi:10.1016/j.neuron.2011.12.019 · Cited by 250
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
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
Self-citationCools, R., & Arnsten, A. F. T. (2021) · Neuropsychopharmacology · doi:10.1038/s41386-021-01100-8 · Cited by 216
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 207
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 212
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 205
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 203
Self-citationPaneri, S., & Gregoriou, G. G. (2017) · Frontiers in Neuroscience · doi:10.3389/fnins.2017.00545 · Cited by 211
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
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
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
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 167
Herrero, J. L., Gieselmann, M. A., Sanayei, M., & Thiele, A. (2013) · Neuron · doi:10.1016/j.neuron.2013.03.029 · Cited by 154
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 161
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
Monoaminergic Neuromodulation of Sensory Processing
Jacob, S. N., & Nienborg, H. (2018) · Frontiers in Neural Circuits · doi:10.3389/fncir.2018.00051 · Cited by 147
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
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
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
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 121
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 124
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
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 120
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 122
Millan, M. J., & Bales, K. L. (2013) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2013.09.012 · Cited by 119
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 122
Tremblay, S., Pieper, F., Sachs, A. J., & Martínez-Trujillo, J. (2014) · Neuron · doi:10.1016/j.neuron.2014.11.021 · Cited by 124
Steinmetz, N. A., & Moore, T. (2014) · Neuron · doi:10.1016/j.neuron.2014.06.014 · Cited by 104
Self-citationMu, Y., Li, X., Zhang, B., & Du, J. (2012) · Neuron · doi:10.1016/j.neuron.2012.05.035 · Cited by 103
Katsuki, F. (2012) · Frontiers in Integrative Neuroscience · doi:10.3389/fnint.2012.00017 · Cited by 107
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 113
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
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 100
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 98
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 94
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 98
Visuomotor Functions in the Frontal Lobe
Schall, J. D. (2015) · Annual Review of Vision Science · doi:10.1146/annurev-vision-082114-035317 · Cited by 92
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 91
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A temporal dependency account of attentional inhibition in oculomotor control
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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
Multiple influences of reward on perception and attention
Pessoa, L. (2014) · Visual Cognition · doi:10.1080/13506285.2014.974729 · Cited by 81
Early-stage visual perception impairment in schizophrenia, bottom-up and back again
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Cooke, S. F., & Bear, M. F. (2011) · Biological Psychiatry · doi:10.1016/j.biopsych.2011.09.006 · Cited by 77
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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 73
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 70
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
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 70
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
Neurochemistry of Visual Attention
Lockhofen, D. E. L., & Mulert, C. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.643597 · Cited by 66
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
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 64
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
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 61
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 66
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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
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 59
Sridharan, D., Steinmetz, N. A., Moore, T., & Knudsen, E. I. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.4505-14.2017 · Cited by 57
Self-citationDopamine Activation Preserves Visual Motion Perception Despite Noise Interference of Human V5/MT
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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 56
Srinath, R., Ruff, D. A., & Cohen, M. R. (2021) · Current Biology · doi:10.1016/j.cub.2021.09.076 · Cited by 57
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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
The predictive mind and the experience of visual art work
Kesner, L. (2014) · Frontiers in Psychology · doi:10.3389/fpsyg.2014.01417 · Cited by 57
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 55
The interdependence of attention, working memory and gaze control: behavior and neural circuitry
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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
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Self-citation
Metadata
- 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
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