Lesions of prefrontal cortex reduce attentional modulation of neuronal responses and synchrony in V4
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It is widely held that the frontal eye field (FEF) in prefrontal cortex (PFC) modulates processing in visual cortex with attention, although the evidence that it is necessary is equivocal. To help identify critical sources of attentional feedback to area V4, we surgically removed the entire lateral PFC, including the FEF, in one hemisphere and transected the corpus callosum and anterior commissure in two macaques. This deprived V4 of PFC input in one hemisphere while keeping the other hemisphere intact. In the absence of PFC, attentional effects on neuronal responses and synchrony in V4 were substantially reduced and the remaining effects of attention were delayed in time, indicating a critical role for PFC. Conversely, distracters captured attention and influenced V4 responses. However, because the effects of attention in V4 were not eliminated by PFC lesions, other sources of top-down attentional control signals to visual cortex must exist outside of PFC.
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In nonhuman primates, endogenous spatial attention is controlled by a trio of structures: FEF, LIP, and SC.
“For example, in the visual modality, evidence from neurophysiological studies in nonhuman primates indicates that endogenous spatial attention appears to be controlled by a trio of structures including the frontal eye field (FEF) in prefrontal cortex (PFC) (e.g. [26]), the lateral intraparietal area (LIP) in parietal cortex [27], and the superior colliculus (SC) (e.g. [28]).”
From Linking ADHD to the Neural Circuitry of Attention (2017) · cites this paper as [26]
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Huang, N. E., Shen, Z., Long, S. R., Wu, M. C., Shih, H. H., Zheng, Q., Yen, N.-C., Tung, C. C., & Liu, H. H. (1998) · Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences · doi:10.1098/rspa.1998.0193 · Cited by 23,707 · see citing works
Control of goal-directed and stimulus-driven attention in the brain
Corbetta, M., & Shulman, G. L. (2002) · Nature Reviews Neuroscience · doi:10.1038/nrn755 · Cited by 12,881 · see citing works
Neural Mechanisms of Selective Visual Attention
Desimone, R., & Duncan, J. (1995) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.18.030195.001205 · Cited by 8,388 · see citing works
Self-citationA mechanism for cognitive dynamics: neuronal communication through neuronal coherence.
Fries, P. (2005) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2005.08.011 · Cited by 4,284 · see citing works
Beta-band oscillations—Signalling the status quo?
Engel, A. K., & Fries, P. (2010) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2010.02.015 · Cited by 2,953 · see citing works
Modulation of Oscillatory Neuronal Synchronization by Selective Visual Attention
Fries, P., Reynolds, J. H., Rorie, A. E., & Desimone, R. (2001) · Science · doi:10.1126/science.1055465 · Cited by 2,786 · see citing works
Self-citationA cortical network for directed attention and unilateral neglect
Mesulam, M. ‐. (1981) · Annals of Neurology · doi:10.1002/ana.410100402 · Cited by 2,498 · see citing works
Top-Down Versus Bottom-Up Control of Attention in the Prefrontal and Posterior Parietal Cortices
Buschman, T. J., & Miller, E. K. (2007) · Science · doi:10.1126/science.1138071 · Cited by 2,380 · see citing works
Mechanisms of visual attention in the human cortex
Ungerleider, S. K. A. L. G. (2000) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.23.1.315 · Cited by 2,159 · see citing works
Implantation of magnetic search coils for measurement of eye position: An improved method
Judge, S. J., Richmond, B. J., & Chu, F. C. (1980) · Vision Research · doi:10.1016/0042-6989(80)90128-5 · Cited by 1,545 · see citing works
Correlated neuronal discharge rate and its implications for psychophysical performance
Zohary, E., Shadlen, M. N., & Newsome, W. T. (1994) · Nature · doi:10.1038/370140a0 · Cited by 1,237 · see citing works
Competitive Mechanisms Subserve Attention in Macaque Areas V2 and V4
Reynolds, J. H., Chelazzi, L., & Desimone, R. (1999) · The Journal of Neuroscience · doi:10.1523/jneurosci.19-05-01736.1999 · Cited by 1,236 · see citing works
Self-citationHigh-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
Self-citationSelective 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
Cavada, C., & Goldman, P. S. (1989) · The Journal of Comparative Neurology · doi:10.1002/cne.902870403 · Cited by 1,127 · see citing works
Attention improves performance primarily by reducing interneuronal correlations
Cohen, M. R., & Maunsell, J. H. R. (2009) · Nature Neuroscience · doi:10.1038/nn.2439 · Cited by 1,126 · see citing works
The pulvinar regulates information transmission between cortical areas based on attention demands
Saalmann, Y. B., Pinsk, M. A., Wang, L., Li, X., & Kastner, S. (2012) · Science · doi:10.1126/science.1223082 · Cited by 1,016 · see citing works
Andersen, R., Asanuma, C., Essick, G., & Siegel, R. M. (1990) · The Journal of comparative neurology · doi:10.1002/cne.902960106 · Cited by 853 · see citing works
Gamma-band synchronization in visual cortex predicts speed of change detection
Womelsdorf, T., Fries, P., Mitra, P. P., & Desimone, R. (2005) · Nature · doi:10.1038/nature04258 · Cited by 741 · see citing works
Self-citationSpatial attention decorrelates intrinsic activity fluctuations in macaque area V4
Mitchell, J. F., Sundberg, K. A., & Reynolds, J. H. (2009) · Neuron · doi:10.1016/j.neuron.2009.09.013 · Cited by 710 · see citing works
Causal role of the prefrontal cortex in top-down modulation of visual processing and working memory
Zanto, T. P., Rubens, M. T., Thangavel, A., & Gazzaley, A. H. (2011) · Nature Neuroscience · doi:10.1038/nn.2773 · Cited by 661 · see citing works
Parallel and Serial Neural Mechanisms for Visual Search in Macaque Area V4
Bichot, N. P., Rossi, A. F., & Desimone, R. (2005) · Science · doi:10.1126/science.1109676 · Cited by 651 · see citing works
Self-citationWebster, M., Bachevalier, J., & Ungerleider, L. G. (1994) · Cerebral Cortex · doi:10.1093/cercor/4.5.470 · Cited by 599 · see citing works
Self-citationFries, P., Womelsdorf, T., Oostenveld, R., & Desimone, R. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.4499-07.2008 · Cited by 458 · see citing works
Self-citationDisorganisation of behaviour after frontal lobe damage
Duncan, J. (1986) · Cognitive Neuropsychology · doi:10.1080/02643298608253360 · Cited by 452 · see citing works
Heilman, K. M., & Valenstein, E. (1972) · Neurology · doi:10.1212/wnl.22.6.660 · Cited by 447 · see citing works
Differences in Gamma Frequencies across Visual Cortex Restrict Their Possible Use in Computation
Ray, S., & Maunsell, J. H. R. (2010) · Neuron · doi:10.1016/j.neuron.2010.08.004 · Cited by 424 · see citing works
Neural Mechanisms of Visual Attention: How Top-Down Feedback Highlights Relevant Locations
Saalmann, Y. B., Pigarev, I. N., & Vidyasagar, T. R. (2007) · Science · doi:10.1126/science.1139140 · Cited by 419 · see citing works
The cortical connectivity of the prefrontal cortex in the monkey brain
Yeterian, E. H., Pandya, D. Ν., Tomaiuolo, F., & Petrides, M. (2011) · Cortex · doi:10.1016/j.cortex.2011.03.004 · Cited by 404 · see citing works
The brain circuitry of attention
Shipp, S. (2004) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2004.03.004 · Cited by 402 · see citing works
Jenkins, W. M., & Merzenich, M. M. (1987) · Progress in brain research · doi:10.1016/s0079-6123(08)61829-4 · Cited by 399 · see citing works
Sampling Properties of the Spectrum and Coherency of Sequences of Action Potentials
Jarvis, M. R., & Mitra, P. P. (2001) · Neural Computation · doi:10.1162/089976601300014312 · Cited by 392 · see citing works
Pulvinar nuclei of the behaving rhesus monkey: visual responses and their modulation
Petersen, S. E., Robinson, D. L., & Keys, W. (1985) · Journal of Neurophysiology · doi:10.1152/jn.1985.54.4.867 · Cited by 378 · see citing works
Prefrontal modulation of visual processing in humans
Barceló, F., Suwazono, S., & Knight, R. T. (2000) · Nature Neuroscience · doi:10.1038/73975 · Cited by 374 · see citing works
Bottom-Up Dependent Gating of Frontal Signals in Early Visual Cortex
Ekstrom, L. B., Roelfsema, P. R., Arsenault, J. T., Bonmassar, G., & Vanduffel, W. (2008) · Science · doi:10.1126/science.1153276 · Cited by 329 · see citing works
Control of visual cortical signals by prefrontal dopamine
Noudoost, B., & Moore, T. (2011) · Nature · doi:10.1038/nature09995 · Cited by 324 · see citing works
Cortical Connections of Area V4 in the Macaque
Ungerleider, L. G., Galkin, T. W., Desimone, R., & Gattass, R. (2007) · Cerebral Cortex · doi:10.1093/cercor/bhm061 · Cited by 312 · see citing works
Self-citationDistinct 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
Dissociation of Visual Discrimination From Saccade Programming in Macaque Frontal Eye Field
Thompson, K. G., Bichot, N. P., & Schall, J. D. (1997) · Journal of Neurophysiology · doi:10.1152/jn.1997.77.2.1046 · Cited by 275 · see citing works
Human prefrontal lesions increase distractibility to irrelevant sensory inputs
Chao, L. L., & Knight, R. T. (1995) · Neuroreport · doi:10.1097/00001756-199508000-00005 · Cited by 265 · see citing works
Gieselmann, M. A., & Thiele, A. (2008) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2008.06358.x · Cited by 261 · see citing works
Attention deficits without cortical neuronal deficits
Zénon, A., & Krauzlis, R. J. (2012) · Nature · doi:10.1038/nature11497 · Cited by 234 · 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
Self-citationFiltering of neural signals by focused attention in the monkey prefrontal cortex
Everling, S., Tinsley, C. J., Gaffan, D., & Duncan, J. (2002) · Nature Neuroscience · doi:10.1038/nn874 · Cited by 224 · see citing works
Coherent Oscillatory Activity in Monkey Area V4 Predicts Successful Allocation of Attention
Taylor, K., Mandon, S., Freiwald, W. A., & Kreiter, A. K. (2005) · Cerebral Cortex · doi:10.1093/cercor/bhi023 · Cited by 209 · see citing works
Rempel-Clower, N. (2000) · Cerebral Cortex · doi:10.1093/cercor/10.9.851 · Cited by 200 · see citing works
FEF TMS Affects Visual Cortical Activity
Taylor, P. C. J., Nobre, A. C., & Rushworth, M. F. S. (2006) · Cerebral Cortex · doi:10.1093/cercor/bhj156 · Cited by 194 · see citing works
A Deficit in Covert Attention after Parietal Cortex Inactivation in the Monkey
Wardak, C., Olivier, E., & Duhamel, J. (2004) · Neuron · doi:10.1016/s0896-6273(04)00185-0 · Cited by 186 · see citing works
Top–Down Attentional Deficits in Macaques with Lesions of Lateral Prefrontal Cortex
Rossi, A. F., Bichot, N. P., Desimone, R., & Ungerleider, L. G. (2007) · Journal of Neuroscience · doi:10.1523/jneurosci.2939-07.2007 · Cited by 174 · see citing works
Self-citationSubcortical connections of area V4 in the macaque
Gattass, R., Galkin, T. W., Desimone, R., & Ungerleider, L. G. (2013) · The Journal of Comparative Neurology · doi:10.1002/cne.23513 · Cited by 83 · see citing works
Self-citationLong-range neural coupling through synchronization with attention
Gregoriou, G. G., Gotts, S. J., Zhou, H., & Desimone, R. (2009) · Progress in brain research · doi:10.1016/s0079-6123(09)17603-3 · Cited by 82 · see citing works
Self-citationNinomiya, T., Sawamura, H., Inoue, K., & Takada, M. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.6295-11.2012 · Cited by 78 · see citing works
Cutrell, E. B., & Marrocco, R. T. (2002) · Experimental Brain Research · doi:10.1007/s00221-002-1032-x · Cited by 74 · see citing works
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The roles of cortical oscillations in sustained attention
Clayton, M. S., Yeung, N., & Kadosh, R. C. (2015) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2015.02.004 · Cited by 531 · see citing works
Prefrontal Parvalbumin Neurons in Control of Attention
Kim, H., Ährlund‐Richter, S., Wang, X., Deisseroth, K. A., & Carlén, M. (2016) · Cell · doi:10.1016/j.cell.2015.11.038 · Cited by 446 · see citing works
Pulvinar-Cortex Interactions in Vision and Attention
Zhou, H., Schafer, R. J., & Desimone, R. (2016) · Neuron · doi:10.1016/j.neuron.2015.11.034 · Cited by 370 · see citing works
Self-citationCombined Social and Spatial Coding in a Descending Projection from the Prefrontal Cortex
Murugan, M., Jang, H. J., Park, M., Miller, E. M., Cox, J., Taliaferro, J. P., Parker, N. F., Bhave, V., Hur, H., Liang, Y., et al. (2017) · Cell · doi:10.1016/j.cell.2017.11.002 · Cited by 311 · 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
van Kerkoerle, T., Self, M. W., & Roelfsema, P. R. (2017) · Nature Communications · doi:10.1038/ncomms13804 · Cited by 281 · see citing works
Oscillatory Dynamics of Prefrontal Cognitive Control
Helfrich, R. F., & Knight, R. T. (2016) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2016.09.007 · Cited by 307 · see citing works
A source for feature-based attention in the prefrontal cortex
Bichot, N. P., Heard, M. T., DeGennaro, E. M., & Desimone, R. (2015) · Neuron · doi:10.1016/j.neuron.2015.10.001 · Cited by 283 · see citing works
Self-citationTuning pathological brain oscillations with neurofeedback: a systems neuroscience framework
Ros, T., Baars, B. J., Lanius, R. A., & Vuilleumier, P. O. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.01008 · Cited by 263 · see citing works
The mechanics of state-dependent neural correlations
Doiron, B., Litwin-Kumar, A., Rosenbaum, R., Ocker, G. K., & Josić́, K. (2016) · Nature Neuroscience · doi:10.1038/nn.4242 · Cited by 236 · see citing works
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Fiebelkorn, I. C., & Kästner, S. (2019) · Annual Review of Psychology · doi:10.1146/annurev-psych-010418-103429 · Cited by 215 · see citing works
Causal evidence for frontal cortex organization for perceptual decision making
Rahnev, D., Nee, D. E., Riddle, J., Larson, A. S., & D’Esposito, M. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1522551113 · Cited by 200 · see citing works
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Linking 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
Freedman, D. J., & Ibos, G. (2018) · Neuron · doi:10.1016/j.neuron.2018.01.044 · Cited by 151 · see citing works
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Interstitial ions: A key regulator of state-dependent neural activity?
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Selective Modulation of the Pupil Light Reflex by Microstimulation of Prefrontal Cortex
Ebitz, R. B., & Moore, T. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.2433-16.2017 · Cited by 112 · see citing works
Two distinct types of remapping in primate cortical area V4
Neupane, S., Guitton, D., & Pack, C. C. (2016) · Nature Communications · doi:10.1038/ncomms10402 · Cited by 108 · see citing works
Angelidis, A., Hagenaars, M. A., Son, D. V., van der Does, W. A. J., & Putman, P. (2018) · Biological Psychology · doi:10.1016/j.biopsycho.2018.03.002 · Cited by 104 · see citing works
Long-Range Attention Networks: Circuit Motifs Underlying Endogenously Controlled Stimulus Selection
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Top-down control of visual cortex by the frontal eye fields through oscillatory realignment
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Roles of Prefrontal Cortex and Mediodorsal Thalamus in Task Engagement and Behavioral Flexibility
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More than Just a “Motor”: Recent Surprises from the Frontal Cortex
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Dopamine tunes prefrontal outputs to orchestrate aversive processing
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Ester, E. F., Sutterer, D., Serences, J. T., & Awh, E. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.3935-15.2016 · Cited by 83 · see citing works
Attention Increases Spike Count Correlations between Visual Cortical Areas
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Ruff, D. A., & Cohen, M. R. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0477-1 · Cited by 73 · see citing works
Hu, 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
Babapoor-Farrokhran, S., Vinck, M. A., Womelsdorf, T., & Everling, S. (2017) · Nature Communications · doi:10.1038/ncomms13967 · Cited by 75 · see citing works
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Visual attention: Linking prefrontal sources to neuronal and behavioral correlates
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Stimulus Dependence of Correlated Variability across Cortical Areas
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Wimmer, K., Ramon, M., Pasternak, T., & Compte, A. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.3678-15.2016 · Cited by 57 · see citing works
Wang, J., Becker, B., Wang, L., Li, H., Zhao, X., & Jiang, T. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.07.001 · Cited by 61 · see citing works
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Modulation of cortical circuits by top-down processing and arousal state in health and disease
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Spatial attention modulates visual gamma oscillations across the human ventral stream
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The Monitoring and Control of Task Sequences in Human and Non-Human Primates
Desrochers, T. M., Burk, D. C., Badre, D., & Sheinberg, D. L. (2016) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2015.00185 · Cited by 47 · see citing works
Beta Oscillation Dynamics in Extrastriate Cortex after Removal of Primary Visual Cortex
Schmiedt, J. T., Maier, A., Fries, P., Saunders, R. C., Leopold, D. A., & Schmid, M. C. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.0509-14.2014 · Cited by 45 · see citing works
Brain regions modulated during covert visual attention in the macaque
Bogadhi, A. R., Bollimunta, A., Leopold, D. A., & Krauzlis, R. J. (2018) · Scientific Reports · doi:10.1038/s41598-018-33567-9 · Cited by 42 · see citing works
On the neural basis of sensory weighting: Alpha, beta and gamma modulations during complex movements
Lebar, N., Danna, J., Moré, S., Mouchnino, L., & Blouin, J. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.02.043 · Cited by 42 · see citing works
Human orbitofrontal cortex signals decision outcomes to sensory cortex during behavioral adaptations
Wang, B., Veismann, M., Banerjee, A., & Pleger, B. (2023) · Nature Communications · doi:10.1038/s41467-023-38671-7 · Cited by 40 · 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
Distinct roles of prefrontal and parietal areas in the encoding of attentional priority
Sapountzis, P., Paneri, S., & Gregoriou, G. G. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1804643115 · Cited by 40 · see citing works
Self-citationA lateralized top-down network for visuospatial attention and neglect
Wang, J., Tian, Y., Wang, M., Cao, L., Wu, H., Zhang, Y., Wang, K., & Jiang, T. (2015) · Brain Imaging and Behavior · doi:10.1007/s11682-015-9460-y · Cited by 39 · see citing works
Occipitotemporal Representations Reflect Individual Differences in Conceptual Knowledge
Braunlich, K., & Love, B. C. (2018) · bioRxiv · doi:10.1037/xge0000501 · Cited by 34 · see citing works
Bridging neuronal correlations and dimensionality reduction
Umakantha, A., Morina, R., Cowley, B. R., Snyder, A. C., Smith, M. A., & Yu, B. M. (2021) · Neuron · doi:10.1016/j.neuron.2021.06.028 · Cited by 39 · see citing works
Ferguson, B. R., Glick, C., & Huguenard, J. R. (2023) · eLife · doi:10.7554/elife.78349 · Cited by 29 · see citing works
Hwang, J., & Lu, A. S. (2018) · Scientific Reports · doi:10.1038/s41598-018-29274-0 · Cited by 33 · see citing works
A normalization model suggests that attention changes the weighting of inputs between visual areas
Ruff, D. A., & Cohen, M. R. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1619857114 · Cited by 31 · see citing works
Messinger, A., Cirillo, R., Wise, S. P., & Genovesio, A. (2021) · Science Advances · doi:10.1126/sciadv.abe0716 · Cited by 32 · see citing works
Distributed functions of prefrontal and parietal cortices during sequential categorical decisions
Zhou, Y., Rosen, M. C., Swaminathan, S. K., Masse, N. Y., Zhu, O., & Freedman, D. J. (2021) · eLife · doi:10.7554/elife.58782 · Cited by 34 · see citing works
Kam, J. W. Y., Helfrich, R. F., Solbakk, A., Endestad, T., Larsson, P. G., Lin, J. J., & Knight, R. T. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa262 · Cited by 28 · see citing works
Relating normalization to neuronal populations across cortical areas
Ruff, D. A., Alberts, J. J., & Cohen, M. R. (2016) · Journal of Neurophysiology · doi:10.1152/jn.00017.2016 · Cited by 30 · see citing works
Neural mechanisms of sensorimotor transformation and action selection
Huda, R., Goard, M. J., Pho, G. N., & Sur, M. (2018) · European Journal of Neuroscience · doi:10.1111/ejn.14069 · Cited by 30 · see citing works
Distinct feedforward and feedback pathways for cell-type specific attention effects
Spyropoulos, G., Schneider, M., van Kempen, J., Gieselmann, M. A., Thiele, A., & Vinck, M. A. (2024) · Neuron · doi:10.1016/j.neuron.2024.04.020 · Cited by 31 · see citing works
Spooner, R. K., Eastman, J. A., Rezich, M. T., & Wilson, T. W. (2019) · The Journal of Physiology · doi:10.1113/jp278788 · Cited by 29 · see citing works
Fascianelli, V., Tsujimoto, S., Marcos, E., & Genovesio, A. (2017) · Cerebral Cortex · doi:10.1093/cercor/bhx321 · Cited by 27 · see citing works
Unilateral Prefrontal Lesions Impair Memory-Guided Comparisons of Contralateral Visual Motion
Pasternak, T., Lui, L. L., & Spinelli, P. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.5265-14.2015 · Cited by 28 · see citing works
Dissonant Representations of Visual Space in Prefrontal Cortex during Eye Movements
Chen, X., Zirnsak, M., & Moore, T. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.01.078 · Cited by 24 · see citing works
Dopamine Receptor Expression Among Local and Visual Cortex-Projecting Frontal Eye Field Neurons
Mueller, A. L., Krock, R. M., Shepard, S. B., & Moore, T. (2019) · Cerebral Cortex · doi:10.1093/cercor/bhz078 · Cited by 30 · see citing works
Dubey, A., Markowitz, D. A., & Pesaran, B. (2023) · Neuron · doi:10.1016/j.neuron.2023.06.025 · Cited by 31 · see citing works
Takeda, M., Koyano, K. W., Hirabayashi, T., Adachi, Y., & Miyashita, Y. (2015) · Neuron · doi:10.1016/j.neuron.2015.03.047 · Cited by 27 · see citing works
Working memory gates visual input to primate prefrontal neurons
Noudoost, B., Clark, K., & Moore, T. (2021) · eLife · doi:10.7554/elife.64814 · Cited by 24 · see citing works
Neural mechanism of priming in visual search
Westerberg, J. A., & Schall, J. D. (2020) · Attention Perception & Psychophysics · doi:10.3758/s13414-020-02118-8 · Cited by 26 · see citing works
Perceptual learning as a result of concerted changes in prefrontal and visual cortex
Jing, R., Yang, C., Huang, X., & Li, W. (2021) · Current Biology · doi:10.1016/j.cub.2021.08.007 · Cited by 25 · see citing works
Higher-dimensional neural representations predict better episodic memory
Sheng, J., Zhang, L., Liu, C., Liu, J., Feng, J., Zhou, Y., Hu, H., & Xue, G. (2022) · Science Advances · doi:10.1126/sciadv.abm3829 · Cited by 23 · see citing works
Son, D. V., Angelidis, A., Hagenaars, M. A., van der Does, W. A. J., & Putman, P. (2018) · Psychophysiology · doi:10.1111/psyp.13274 · Cited by 25 · see citing works
Dissociable neuronal substrates of visual feature attention and working memory
Mendoza-Halliday, D., Xu, H., Azevedo, F. A. C., & Desimone, R. (2024) · Neuron · doi:10.1016/j.neuron.2023.12.007 · Cited by 23 · see citing works
Self-citationHow thoughts arise from sights: inferotemporal and prefrontal contributions to vision
Kornblith, S., & Tsao, D. Y. (2017) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2017.08.016 · Cited by 30 · see citing works
Chow, J. C., Ouyang, C., Chiang, C., Yang, R., Wu, R., Wu, H., & Lin, L. (2018) · Brain and Development · doi:10.1016/j.braindev.2018.11.006 · Cited by 25 · see citing works
Spontaneous Fluctuations in Sensory Processing Predict Within-Subject Reaction Time Variability
Ribeiro, M. J., Paiva, J. S., & Castelo-Branco, M. S. (2016) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2016.00200 · Cited by 23 · see citing works
Son, D. V., Schalbroeck, R., Angelidis, A., van der Wee, N. J. A., van der Does, W. A. J., & Putman, P. (2018) · Biological Psychology · doi:10.1016/j.biopsycho.2018.05.006 · Cited by 23 · see citing works
Westerberg, J. A., Maier, A., & Schall, J. D. (2020) · eNeuro · doi:10.1523/eneuro.0466-19.2020 · Cited by 21 · see citing works
Shepard, R. M., Beckett, E., & Coutellier, L. D. (2017) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2017.10.009 · Cited by 21 · see citing works
What does scalp electroencephalogram coherence tell us about long‐range cortical networks?
Snyder, A. C., Issar, D., & Smith, M. A. (2018) · European Journal of Neuroscience · doi:10.1111/ejn.13840 · Cited by 21 · see citing works
Westendorff, S., Kaping, D., Everling, S., & Womelsdorf, T. (2016) · Journal of Neurophysiology · doi:10.1152/jn.00027.2016 · Cited by 20 · see citing works
Lebar, N., Bernier, P., Guillaume, A., Mouchnino, L., & Blouin, J. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.07.033 · Cited by 20 · see citing works
A general decoding strategy explains the relationship between behavior and correlated variability
Ni, A. M., Huang, C., Doiron, B., & Cohen, M. R. (2022) · eLife · doi:10.7554/elife.67258 · Cited by 18 · see citing works
Frontoparietal Activity Interacts With Task-Evoked Changes in Functional Connectivity
Hwang, K., Shine, J. M., & D’Esposito, M. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhy011 · Cited by 20 · see citing works
Drebitz, E., Haag, M., Grothe, I., Mandon, S., & Kreiter, A. K. (2018) · Frontiers in Neural Circuits · doi:10.3389/fncir.2018.00071 · Cited by 19 · see citing works
Li, X., Jiang, Y., Wang, W., Liu, X., & Li, Z. (2020) · CNS Neuroscience & Therapeutics · doi:10.1111/cns.13445 · Cited by 17 · see citing works
A recruitment through coherence theory of working memory
Comeaux, P., Clark, K., & Noudoost, B. (2023) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2023.102491 · Cited by 21 · see citing works
- Authors
- Gregoriou, G. G., Rossi, A. F., Ungerleider, L. G., & Desimone, R.
- Affiliations
- University of Crete (GR)
- National Institutes of Health (US)
- McGovern Institute for Brain Research (US)
- Corresponding author
- Gregoriou, Georgia G
- Venue
- Nature Neuroscience
- Published
- 2014-06-15
- Volume
- 17
- Issue
- 7
- Pages
- 1003-1011
- ISSN
- 1097-6256 (ISSN-L)
- 1546-1726
- PMC
- PMC4122755
- OpenAlex
- W1994264890
- Cited by
- 177
- References
- 53
- Citations by year
- 2026: 1 · 2025: 13 · 2024: 10 · 2023: 15 · 2022: 11 · 2021: 19 · 2020: 10 · 2019: 16 · 2018: 28 · 2017: 18 · 2016: 20 · 2015: 14 · 2014: 2
- FWCI
- 10.04
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion)
- Funders
- National Institute for Health and Care Research
- National Institutes of Health
- National Institute of Mental Health
- National Eye Institute (R01EY017292)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Visual Attention and Saliency Detection
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Keywords
- prefrontal cortex, area V4, visual attention, frontal eye field, top-down attentional control, neuronal synchronization, corpus callosum transection, macaque, visual cortex
- MeSH terms
- Animals, Attention, Corpus Callosum, Cortical Synchronization, Electrodes, Implanted, Electroencephalography, Macaca mulatta, Male, Neurons, Psychomotor Performance, Reaction Time, Septal Nuclei, Visual Cortex, Prefrontal Cortex, Electrophysiological Phenomena, Feedback, Sensory
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