High-frequency, long-range coupling between prefrontal and visual cortex during attention
Open accessAbstract
Electrical recordings in humans and monkeys show attentional enhancement of evoked responses and gamma synchrony in ventral stream cortical areas. Does this synchrony result from intrinsic activity in visual cortex or from inputs from other structures? Using paired recordings in the frontal eye field (FEF) and area V4, we found that attention to a stimulus in their joint receptive field leads to enhanced oscillatory coupling between the two areas, particularly at gamma frequencies. This coupling appeared to be initiated by FEF and was time-shifted by about 8 to 13 milliseconds across a range of frequencies. Considering the expected conduction and synaptic delays between the areas, this time-shifted coupling at gamma frequencies may optimize the postsynaptic impact of spikes from one area upon the other, improving cross-area communication with attention.
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?
Selective attention enhances gamma-synchronization.
“and enhances gamma-synchronization (Fries et al., 2001; Gregoriou et al., 2009).”
From Waking state: rapid variations modulate neural and behavioral responses (2015) · cites this paper as Gregoriou et al., 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.
Cites
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
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
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-citationModulation 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-citationTop-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
Entrainment of Neuronal Oscillations as a Mechanism of Attentional Selection
Lakatos, P., Karmos, G., Mehta, A. D., Ulbert, I., & Schroeder, C. E. (2008) · Science · doi:10.1126/science.1154735 · Cited by 1,719 · 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
Visuomotor integration is associated with zero time-lag synchronization among cortical areas
Roelfsema, P. R., Engel, A. K., König, P., & Singer, W. (1997) · Nature · doi:10.1038/385157a0 · Cited by 1,136 · see citing works
Gamma rhythms and beta rhythms have different synchronization properties
Kopell, N., Ermentrout, G. B., Whittington, M. A., & Traub, R. D. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.97.4.1867 · Cited by 1,072 · see citing works
Brovelli, A., Ding, M., Ledberg, A., Chen, Y., Nakamura, R., & Bressler, S. L. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0308538101 · Cited by 1,065 · see citing works
Spike Timing-Dependent Plasticity of Neural Circuits
Dan, Y., & Poo, M. (2004) · Neuron · doi:10.1016/j.neuron.2004.09.007 · Cited by 1,029 · see citing works
Entrainment of Neocortical Neurons and Gamma Oscillations by the Hippocampal Theta Rhythm
Sirota, A., Montgomery, S., Fujisawa, S., Isomura, Y., Zugaro, M., & Buzsáki, G. (2008) · Neuron · doi:10.1016/j.neuron.2008.09.014 · Cited by 1,015 · see citing works
Prefrontal phase locking to hippocampal theta oscillations
Siapas, A. G., Lubenov, E. V., & Wilson, M. A. (2005) · Neuron · doi:10.1016/j.neuron.2005.02.028 · Cited by 1,014 · see citing works
Top-down processing mediated by interareal synchronization
von Stein, A., Chiang, C., & Peter König, B. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.97.26.14748 · Cited by 722 · 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-citationSchall, J. D., Morel, A., King, D., & Bullier, J. (1995) · Journal of Neuroscience · doi:10.1523/jneurosci.15-06-04464.1995 · Cited by 625 · see citing works
The role of neuronal synchronization in selective attention
Womelsdorf, T., & Fries, P. (2007) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2007.02.002 · Cited by 511 · see citing works
Free choice activates a decision circuit between frontal and parietal cortex
Pesaran, B., Nelson, M., & Andersen, R. (2008) · Nature · doi:10.1038/nature06849 · Cited by 479 · see citing works
Fries, 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-citationThe timing of information transfer in the visual system
Nowak, L. G., & Bullier, J. (1997) · Cerebral cortex · doi:10.1007/978-1-4757-9625-4_5 · Cited by 444 · 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 428 · see citing works
Topography of projections to posterior cortical areas from the macaque frontal eye fields
Stanton, G. B., Bruce, C. J., & Goldberg, M. E. (1995) · The Journal of Comparative Neurology · doi:10.1002/cne.903530210 · Cited by 370 · see citing works
Regulation of spike timing in visual cortical circuits
Tiesinga, P. H. E., Fellous, J., & B, T. J. S. A. (2008) · Nature reviews. Neuroscience · doi:10.1038/nrn2315 · Cited by 352 · 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
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-citationBörgers, C., Epstein, S., & Kopell, N. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0809511105 · Cited by 165 · see citing works
Assessing Neuronal Coherence with Single-Unit, Multi-Unit, and Local Field Potentials
Zeitler, M., Fries, P., & Gielen, S. C. A. M. (2006) · Neural Computation · doi:10.1162/neco.2006.18.9.2256 · Cited by 89 · see citing works
Flagged first, then by citations
Research works printed but not linked: 2
- [17]Nowak LG Bullier J Cerebral Cortex Rockland KS Kaas JH Peters A Plenum Press New York 1997 12 205 241
- [18]Huang NE Proceedings of the Royal Society of London Series a-Mathematical Physical and Engineering Sciences 454 903 1998
Cited by
Sorted by citations
Dynamic functional connectivity: Promise, issues, and interpretations
Hutchison, R. M., Womelsdorf, T., Allen, E. A., Bandettini, P. A., Calhoun, V. D., Corbetta, M., Della Penna, S., Duyn, J. H., Glover, G. H., Gonzalez-Castillo, J., et al. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.079 · Cited by 2,962 · see citing works
Rhythms for cognition: communication through coherence
Fries, P. (2015) · Neuron · doi:10.1016/j.neuron.2015.09.034 · Cited by 2,725 · 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
Experimental and theoretical approaches to conscious processing
Dehaene, S., & Changeux, J.-P. (2011) · Neuron · doi:10.1016/j.neuron.2011.03.018 · Cited by 2,573 · see citing works
Canonical Microcircuits for Predictive Coding
Bastos, A. M., Usrey, W. M., Adams, R. A., Mangun, G. R., Fries, P., & Friston, K. J. (2012) · Neuron · doi:10.1016/j.neuron.2012.10.038 · Cited by 2,421 · see citing works
“…and feedback signaling may be mediated by distinct (high and low) frequencies (reviewed in Wang, 2010; see also Buschman and Miller, 2007), a proposal that has recently received experimental support, at least for the feedforward connections (Bosman et al., 2012; see also Gregoriou et al., 2009).”
Large-scale brain networks in cognition: emerging methods and principles
Bressler, S. L., & Menon, V. (2010) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2010.04.004 · Cited by 2,348 · see citing works
Vinck, M., Oostenveld, R., van Wingerden, M., Battaglia, F., & Pennartz, C. M. A. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.01.055 · Cited by 1,753 · see citing works
The role of phase synchronization in memory processes
Fell, J., & Axmacher, N. (2011) · Nature Reviews Neuroscience · doi:10.1038/nrn2979 · Cited by 1,620 · see citing works
Lisman, J. E., & Jensen, O. (2013) · Neuron · doi:10.1016/j.neuron.2013.03.007 · Cited by 1,609 · see citing works
Visual areas exert feedforward and feedback influences through distinct frequency channels
Bastos, A. M., Vezoli, J., Bosman, C. A., Schoffelen, J.-M., Oostenveld, R., Dowdall, J. R., De Weerd, P., Kennedy, H., & Fries, P. (2015) · Neuron · doi:10.1016/j.neuron.2014.12.018 · Cited by 1,320 · see citing works
Spectral fingerprints of large-scale neuronal interactions
Siegel, M., Donner, T. H., & Engel, A. K. (2012) · Nature Reviews Neuroscience · doi:10.1038/nrn3137 · Cited by 1,295 · see citing works
Top-down influences on visual processing
Gilbert, C. D., & Li, W. (2013) · Nature Reviews Neuroscience · doi:10.1038/nrn3476 · Cited by 1,224 · 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
Waking state: rapid variations modulate neural and behavioral responses
McGinley, M. J., Vinck, M., Reimer, J., Batista-Brito, R., Zagha, E., Cadwell, C. R., Tolias, A. S., Cardin, J. A., & McCormick, D. A. (2015) · Neuron · doi:10.1016/j.neuron.2015.09.012 · Cited by 801 · see citing works
“Selective inter-areal gamma-band coherence may be a mechanism to resolve this competition (Bosman et al., 2012; Gregoriou et al., 2009), but it remains unknown whether global arousal plays a similar role in regulating inter-areal coherence patterns.”
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
Anatomy of hierarchy: Feedforward and feedback pathways in macaque visual cortex
Markov, N. T., Vezoli, J., Chameau, P., Falchier, A., Quilodran, R., Huissoud, C., Lamy, C., Misery, P., Giroud, P., Ullman, S., et al. (2014) · Journal of Comparative Neurology · doi:10.1002/cne.23458 · Cited by 759 · see citing works
Gamma and Beta Bursts Underlie Working Memory
Lundqvist, M., Rose, J., Herman, P., Brincat, S. L., Buschman, T. J., & Miller, E. K. (2016) · Neuron · doi:10.1016/j.neuron.2016.02.028 · Cited by 846 · see citing works
Structural dynamics of dendritic spines in memory and cognition
Kasai, H., Fukuda, M., Watanabe, S., Hayashi-Takagi, A., & Noguchi, J. (2010) · Trends in Neurosciences · doi:10.1016/j.tins.2010.01.001 · Cited by 804 · see citing works
Michalareas, G., Vezoli, J., van Pelt, S., Schoffelen, J.-M., Kennedy, H., & Fries, P. (2016) · Neuron · doi:10.1016/j.neuron.2015.12.018 · Cited by 696 · see citing works
Miller, E. K., Lundqvist, M., & Bastos, A. M. (2018) · Neuron · doi:10.1016/j.neuron.2018.09.023 · Cited by 797 · see citing works
Spatial 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
Temporal dynamics of spontaneous MEG activity in brain networks
de Pasquale, F., Della Penna, S., Snyder, A. Z., Lewis, C., Mantini, D., Marzetti, L., Belardinelli, P., Ciancetta, L., Pizzella, V., Romani, G. L., et al. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0913863107 · Cited by 698 · see citing works
Attentional stimulus selection through selective synchronization between monkey visual areas
Bosman, C. A., Schoffelen, J.-M., Brunet, N., Oostenveld, R., Bastos, A. M., Womelsdorf, T., Rubehn, B., Stieglitz, T., De Weerd, P., & Fries, P. (2012) · Neuron · doi:10.1016/j.neuron.2012.06.037 · Cited by 720 · see citing works
Laminar differences in gamma and alpha coherence in the ventral stream
Buffalo, E. A., Fries, P., Landman, R., Buschman, T. J., & Desimone, R. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1011284108 · Cited by 606 · see citing works
Self-citationCortical high-density counterstream architectures
Markov, N. T., Ercsey-Ravasz, M., Van Essen, D. C., Knoblauch, K., Toroczkai, Z., & Kennedy, H. (2013) · Science · doi:10.1126/science.1238406 · Cited by 616 · see citing works
Oscillatory synchronization in large-scale cortical networks predicts perception
Hipp, J. F., Engel, A. K., & Siegel, M. (2011) · Neuron · doi:10.1016/j.neuron.2010.12.027 · Cited by 599 · 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
Theta Phase Segregation of Input-Specific Gamma Patterns in Entorhinal-Hippocampal Networks
Schomburg, E. W., Fernández-Ruiz, A., Mizuseki, K., Berényi, A., Anastassiou, C. A., Koch, C., & Buzsáki, G. (2014) · Neuron · doi:10.1016/j.neuron.2014.08.051 · Cited by 465 · see citing works
Mechanisms of top-down attention
Baluch, F., & Itti, L. (2011) · Trends in Neurosciences · doi:10.1016/j.tins.2011.02.003 · Cited by 437 · see citing works
Oscillations in the prefrontal cortex: a gateway to memory and attention
Benchenane, K., Tiesinga, P. H., & Battaglia, F. P. (2011) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2011.01.004 · Cited by 366 · see citing works
Distinct functions for direct and transthalamic corticocortical connections
Sherman, S. M., & Guillery, R. W. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00429.2011 · Cited by 336 · see citing works
A Dynamic Interplay within the Frontoparietal Network Underlies Rhythmic Spatial Attention
Fiebelkorn, I. C., Pinsk, M. A., & Kastner, S. (2018) · Neuron · doi:10.1016/j.neuron.2018.07.038 · Cited by 356 · see citing works
Thiele, A., & Bellgrove, M. A. (2018) · Neuron · doi:10.1016/j.neuron.2018.01.008 · Cited by 350 · 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
van Kerkoerle, T., Self, M. W., & Roelfsema, P. R. (2017) · Nature Communications · doi:10.1038/ncomms13804 · Cited by 281 · see citing works
Key, B. (2016) · Animal Sentience · doi:10.51291/2377-7478.1011 · Cited by 318 · 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-citationPrefrontal 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
Oscillations and Filtering Networks Support Flexible Routing of Information
Akam, T., & Kullmann, D. M. (2010) · Neuron · doi:10.1016/j.neuron.2010.06.019 · Cited by 245 · see citing works
Widespread theta synchrony and high-frequency desynchronization underlies enhanced cognition
Solomon, E. A., Kragel, J. E., Sperling, M. R., Sharan, A., Worrell, G., Kucewicz, M., Inman, C. S., Lega, B., Davis, K. A., Stein, J. M., et al. (2017) · Nature Communications · doi:10.1038/s41467-017-01763-2 · Cited by 221 · see citing works
The development of theta and alpha neural oscillations from ages 3 to 24 years
Cellier, D., Riddle, J., Petersen, I., & Hwang, K. (2021) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2021.100969 · Cited by 223 · see citing works
Uhlhaas, P. J., & Singer, W. (2015) · Biological Psychiatry · doi:10.1016/j.biopsych.2014.11.019 · Cited by 243 · see citing works
Insects have the capacity for subjective experience
Klein, C., & Barron, A. B. (2016) · Animal Sentience · doi:10.51291/2377-7478.1113 · Cited by 243 · see citing works
Gotts, S. J., Chow, C. C., & Martin, A. (2012) · Cognitive Neuroscience · doi:10.1080/17588928.2012.670617 · Cited by 213 · see citing works
Self-citationSelective attention from voluntary control of neurons in prefrontal cortex
Schafer, R. J., & Moore, T. (2011) · Science · doi:10.1126/science.1199892 · Cited by 174 · see citing works
Top-down attention switches coupling between low-level and high-level areas of human visual cortex
Al-Aidroos, N., Said, C. P., & Turk-Browne, N. B. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1202095109 · Cited by 180 · 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
Self-citationThe 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
Control from below: the role of a midbrain network in spatial attention
Knudsen, E. I. (2011) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2011.07696.x · Cited by 148 · see citing works
Voloh, B., Valiante, T. A., Everling, S., & Womelsdorf, T. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1500438112 · Cited by 157 · see citing works
Womelsdorf, T., Lima, B., Vinck, M., Oostenveld, R., Singer, W., Neuenschwander, S., & Fries, P. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1114223109 · Cited by 119 · see citing works
Cognitive training enhances intrinsic brain connectivity in childhood
Astle, D. E., Barnes, J. J., Baker, K., Colclough, G. L., & Woolrich, M. W. (2015) · The Journal of Neuroscience · doi:10.1523/jneurosci.4517-14.2015 · Cited by 123 · see citing works
Grossberg, S. (2017) · Neural Networks · doi:10.1016/j.neunet.2016.11.003 · Cited by 120 · see citing works
Dynamic corticostriatal activity biases social bonding in monogamous female prairie voles
Amadei, E. A., Johnson, Z. V., Jun Kwon, Y., Shpiner, A. C., Saravanan, V., Mays, W. D., Ryan, S. J., Walum, H., Rainnie, D. G., Young, L. J., et al. (2017) · Nature · doi:10.1038/nature22381 · Cited by 115 · see citing works
Burst Firing Synchronizes Prefrontal and Anterior Cingulate Cortex during Attentional Control
Womelsdorf, T., Ardid, S., Everling, S., & Valiante, T. A. (2014) · Current Biology · doi:10.1016/j.cub.2014.09.046 · Cited by 113 · see citing works
A 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
Akam, T. E., & Kullmann, D. M. (2012) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002760 · Cited by 93 · see citing works
“Changes in oscillatory activity dependent on visual spatial attention [3,16,40,41] have been proposed to underlie the selective processing of behaviorally relevant stimuli [5,7].”
BackgroundShifting the spotlight of attention: evidence for discrete computations in cognition
Buschman, T. J., & Miller, E. K. (2010) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2010.00194 · Cited by 87 · see citing works
Cortical layers, rhythms and BOLD signals
Scheeringa, R., & Fries, P. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2017.11.002 · Cited by 88 · see citing works
Attention – oscillations and neuropharmacology
Deco, G., & Thiele, A. (2009) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2009.06833.x · Cited by 85 · see citing works
Adaptation-induced synchronization in laminar cortical circuits
Hansen, B. J., & Dragoi, V. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1102017108 · Cited by 83 · see citing works
How to detect the Granger-causal flow direction in the presence of additive noise?
Vinck, M., Huurdeman, L., Bosman, C. A., Fries, P., Battaglia, F. P., Pennartz, C. M. A., & Tiesinga, P. H. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2014.12.017 · Cited by 77 · see citing works
The neurocognitive correlates of brain entropy estimated by resting state fMRI
Wang, Z. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.117893 · Cited by 77 · see citing works
Cholinergic modulation of response gain in the primary visual cortex of the macaque
Soma, S., Shimegi, S., Osaki, H., & Sato, H. (2012) · Journal of Neurophysiology · doi:10.1152/jn.00330.2011 · Cited by 75 · see citing works
Kikuchi, M., Hashimoto, T., Nagasawa, T., Hirosawa, T., Minabe, Y., Yoshimura, M., Strik, W., Dierks, T., & Koenig, T. (2011) · Schizophrenia Research · doi:10.1016/j.schres.2011.06.003 · Cited by 74 · see citing works
Rapid fluctuations in functional connectivity of cortical networks encode spontaneous behavior
Benisty, H., Barson, D., Moberly, A. H., Lohani, S., Tang, L., Coifman, R. R., Crair, M. C., Mishne, G., Cardin, J. A., & Higley, M. J. (2024) · Nature Neuroscience · doi:10.1038/s41593-023-01498-y · Cited by 65 · see citing works
Cognition as a Window into Neuronal Population Space
Ruff, D. A., Ni, A. M., & Cohen, M. R. (2018) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-080317-061936 · Cited by 63 · see citing works
Dynamic representation of 3D auditory space in the midbrain of the free-flying echolocating bat
Kothari, N. B., Wohlgemuth, M. J., & Moss, C. F. (2018) · eLife · doi:10.7554/elife.29053 · Cited by 54 · see citing works
Executive functions and prefrontal cortex: a matter of persistence?
Ball, G., Stokes, P. R., Rhodes, R. A., Bose, S. K., Rezek, I., Wink, A.-M., Lord, L.-D., Mehta, M. A., Grasby, P. M., & Turkheimer, F. E. (2011) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2011.00003 · Cited by 50 · see citing works
Barnes, J. J., Woolrich, M. W., Baker, K., Colclough, G. L., & Astle, D. E. (2016) · Developmental Science · doi:10.1111/desc.12297 · Cited by 32 · see citing works
Early cortical signals in visual stimulus detection
Kwon, H., Kronemer, S. I., Christison-Lagay, K. L., Khalaf, A., Li, J., Ding, J. Z., Freedman, N. C., & Blumenfeld, H. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118608 · Cited by 31 · see citing works
Neural manifolds in V1 change with top-down signals from V4 targeting the foveal region
Morales-Gregorio, A., Kurth, A. C., Ito, J., Kleinjohann, A., Barthélemy, F. V., Brochier, T., Grün, S., & van Albada, S. J. (2024) · Cell Reports · doi:10.1016/j.celrep.2024.114371 · Cited by 28 · see citing works
Analog Cognition and Consciousness
Miller, E. K., Brincat, S. L., & Roy, J. E. (2026) · The Journal of Neuroscience · doi:10.1523/jneurosci.0711-26.2026 · Cited by 4 · see citing works
“Gamma rhythms subserve feedforward signaling, carrying bottom-up (sensory) inputs and motor outputs (Scho ff elen et al., 2005; Gregoriou et al., 2009; Bosman et al., 2012; Rohenkohl et al., 2018).”
- Authors
- Gregoriou, G. G., Gotts, S. J., Zhou, H., & Desimone, R.
- Affiliations
- McGovern Institute for Brain Research (US)
- National Institutes of Health (US)
- Corresponding author
- Gregoriou, Georgia G.
- Gotts, Stephen J.
- Desimone, Robert
- Venue
- Science
- Published
- 2009-05-29
- Volume
- 324
- Issue
- 5931
- Pages
- 1207-1210
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- PMC
- PMC2849291
- OpenAlex
- W1507511940
- Cited by
- 1,194
- References
- 27
- Citations by year
- 2026: 37 · 2025: 41 · 2024: 53 · 2023: 71 · 2022: 68 · 2021: 72 · 2020: 67 · 2019: 76 · 2018: 80 · 2017: 74 · 2016: 77 · 2015: 73 · 2014: 86 · 2013: 83 · 2012: 73
- FWCI
- 37.75
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Science (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc-sa)
- Funders
- National Institutes of Health (Z99 MH999999)
- National Institute of Mental Health (P50MH064445, MH64445)
- National Eye Institute (EY017921, EY017292, R01EY017292, R01EY017921)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Multisensory perception and integration
- Keywords
- attention, frontal eye field, area V4, gamma oscillations, visual cortex, prefrontal cortex, ventral stream, evoked potentials, paired recordings
- MeSH terms
- Action Potentials, Animals, Attention, Electrodes, Implanted, Macaca mulatta, Male, Neurons, Visual Cortex, Visual Perception, Prefrontal Cortex, Synaptic Potentials, Electrophysiological Phenomena
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
