Theta-gamma coordination between anterior cingulate and prefrontal cortex indexes correct attention shifts
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Significance: During flexible goal-directed behavior, our frontal cortex coordinates goal-relevant information from widely distributed neuronal systems to prioritize the relevant over irrelevant information. This coordination may be realized by entraining multiple distributed systems with slow activity oscillation to phase-align their local fast oscillatory activity. We analyzed this spatially distributed oscillatory coupling in macaques during actual attentional stimulus selection. We identified that successful—but not failed—selection of relevant information followed the coupling of slow and fast frequencies at narrow oscillation phases, with interareal anatomical specificity, and based on a reset mechanism for the slow oscillation. These findings suggest a specific functional and mechanistic solution to the fundamental coordination problem in primate brains.
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Stronger theta-gamma coupling is related to attention modulations.
“For example, stronger theta-gamma coupling has been shown to be related to attention modulations (Canolty et al. 2006;Voloh et al. 2015).”
From Brain–Heart Interactions Underlying Traditional Tibetan Buddhist Meditation (2019) · cites this paper as Voloh et al. 2015
Theta-gamma coupling is important in attentional tasks.
“Moreover, monks exhibited unique, strong gamma to theta directional coupling during meditation, which, based on the significant evidence implicating theta-gamma coupling's importance in attentional tasks (Canolty et al. 2006;Voloh et al. 2015), we believe to be directly related to the monks' attentional focus and processing.”
From Brain–Heart Interactions Underlying Traditional Tibetan Buddhist Meditation (2019) · cites this paper as Voloh et al. 2015
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Baltosser, W. H., & Zar, J. H. (1996) · Ecology · doi:10.2307/2265725 · Cited by 35,166 · see citing works
Nonparametric statistical testing of EEG- and MEG-data
Maris, E., & Oostenveld, R. (2007) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2007.03.024 · Cited by 8,496 · see citing works
<b>CircStat</b> : A <i>MATLAB</i> Toolbox for Circular Statistics
Berens, P. (2009) · Journal of Statistical Software · doi:10.18637/jss.v031.i10 · Cited by 3,099 · see citing works
The expected value of control: an integrative theory of anterior cingulate cortex function
Shenhav, A., Botvinick, M. M., & Cohen, J. D. (2013) · Neuron · doi:10.1016/j.neuron.2013.07.007 · Cited by 2,321 · 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
Frequency of gamma oscillations routes flow of information in the hippocampus
Colgin, L. L., Denninger, T., Fyhn, M., Hafting, T., Bonnevie, T., Jensen, O. B., Moser, M., & Moser, E. I. (2009) · Nature · doi:10.1038/nature08573 · Cited by 1,425 · see citing works
Measuring Phase-Amplitude Coupling Between Neuronal Oscillations of Different Frequencies
Tort, A. B. L., Komorowski, R. W., Eichenbaum, H., & Kopell, N. (2010) · Journal of Neurophysiology · doi:10.1152/jn.00106.2010 · Cited by 1,365 · 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
Frontal cortex and reward-guided learning and decision-making
Rushworth, M. F. S., Noonan, M. P., Boorman, E. D., Walton, M. E., & Behrens, T. E. (2011) · Neuron · doi:10.1016/j.neuron.2011.05.014 · Cited by 1,111 · 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
Benchenane, K., Peyrache, A., Khamassi, M., Tierney, P. L., Gioanni, Y., Battaglia, F. P., & Wiener, S. I. (2010) · Neuron · doi:10.1016/j.neuron.2010.05.013 · Cited by 872 · see citing works
Tort, A. B. L., Kramer, M., Thorn, C. A., Gibson, D. J., Kubota, Y., Graybiel, A. M., & Kopell, N. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0810524105 · Cited by 842 · see citing works
Cross-Frequency Phase–Phase Coupling between Theta and Gamma Oscillations in the Hippocampus
Belluscio, M. A., Mizuseki, K., Schmidt, R., Kempter, R., & Buzsáki, G. (2012) · The Journal of Neuroscience · doi:10.1523/jneurosci.4122-11.2012 · Cited by 784 · 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
Self-citationUntangling cross-frequency coupling in neuroscience
Aru, J., Aru, J., Priesemann, V., Wibral, M., Lana, L., Pipa, G., Singer, W., & Vicente, R. (2014) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2014.08.002 · Cited by 612 · see citing works
Alpha Oscillations Serve to Protect Working Memory Maintenance against Anticipated Distracters
Bonnefond, M., & Jensen, O. B. (2012) · Current Biology · doi:10.1016/j.cub.2012.08.029 · Cited by 580 · see citing works
Phase-dependent neuronal coding of objects in short-term memory
Siegel, M., Warden, M. R., & Miller, E. K. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0908193106 · Cited by 573 · see citing works
Prefrontal parvalbumin interneurons shape neuronal activity to drive fear expression
Courtin, J., Chaudun, F., Rozeske, R. R., Karalis, N., Gonzalez-Campo, C., Wurtz, H., Abdi, A., Baufreton, J., Bienvenu, T. C. M., & Herry, C. (2014) · Nature · doi:10.1038/nature12755 · Cited by 524 · see citing works
Lesion mapping of cognitive control and value-based decision making in the prefrontal cortex
Gläscher, J., Adolphs, R., Damasio, H., Bechara, A., Rudrauf, D., Calamia, M., Paul, L. K., & Tranel, D. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1206608109 · Cited by 476 · see citing works
Synchronous Oscillatory Neural Ensembles for Rules in the Prefrontal Cortex
Buschman, T. J., Denovellis, E. L., Diogo, C., Bullock, D. H., & Miller, E. K. (2012) · Neuron · doi:10.1016/j.neuron.2012.09.029 · Cited by 428 · see citing works
Wulff, P., Ponomarenko, A. A., Bartos, M., Korotkova, T. M., Fuchs, E. C., Bähner, F., Both, M., Tort, A. B. L., Kopell, N. J., Wisden, W., et al. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0813176106 · Cited by 400 · see citing works
The Neurobiology of the Prefrontal Cortex: Anatomy, Evolution, and the Origin of Insight
Passingham, R. E., & Wise, S. P. (2012) · doi:10.1093/acprof:osobl/9780199552917.001.0001 · Cited by 379 · see citing works
Segmentation of spatial experience by hippocampal theta sequences
Gupta, A. S., van der Meer, M. A. A., Touretzky, D. S., & Redish, A. D. (2012) · Nature Neuroscience · doi:10.1038/nn.3138 · Cited by 352 · see citing works
Theta coupling between V4 and prefrontal cortex predicts visual short-term memory performance
Liebe, S., Hörzer, G. M., Logothetis, N. K., & Rainer, G. (2012) · Nature Neuroscience · doi:10.1038/nn.3038 · Cited by 346 · see citing works
Dynamic circuit motifs underlying rhythmic gain control, gating and integration
Womelsdorf, T., Valiante, T. A., Sahin, N. T., Miller, K. J., & Tiesinga, P. (2014) · Nature Neuroscience · doi:10.1038/nn.3764 · Cited by 341 · see citing works
Self-citationThe Neurobiology of the Prefrontal Cortex: Anatomy, Evolution, and the Origin of Insight
Passingham, R. E., & Wise, S. P. (2012) · Cited by 307 · see citing works
Oscillatory phase coupling coordinates anatomically dispersed functional cell assemblies
Canolty, R. T., Ganguly, K., Kennerley, S. W., Cadieu, C. F., Koepsell, K., Wallis, J. D., & Carmena, J. M. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1008306107 · Cited by 292 · see citing works
Feedback Inhibition Enables Theta-Nested Gamma Oscillations and Grid Firing Fields
Pastoll, H., Solanka, L., van Rossum, M. C. W., & Nolan, M. F. (2013) · Neuron · doi:10.1016/j.neuron.2012.11.032 · Cited by 278 · see citing works
Multisensory Integration: Flexible Use of General Operations
van Atteveldt, N., Murray, M. M., Thut, G., & Schroeder, C. E. (2014) · Neuron · doi:10.1016/j.neuron.2014.02.044 · Cited by 269 · 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
Reset of human neocortical oscillations during a working memory task
Rizzuto, D. S., Madsen, J. R., Bromfield, E. B., Schulze‐Bonhage, A., Seelig, D., Aschenbrenner-Scheibe, R., & Kahana, M. J. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0732061100 · Cited by 256 · see citing works
Womelsdorf, T., Johnston, K., Vinck, M. A., & Everling, S. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0906194107 · Cited by 230 · see citing works
Self-citationCell-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
Internally generated sequences in learning and executing goal-directed behavior
Pezzulo, G., van der Meer, M. A. A., Lansink, C. S., & Pennartz, C. M. A. (2014) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2014.06.011 · Cited by 217 · see citing works
The Prefrontal Cortex and Flexible Behavior
Barbas, H., & Zikopoulos, B. (2007) · The Neuroscientist · doi:10.1177/1073858407301369 · Cited by 178 · see citing works
Phase–Amplitude Coupling in Human Electrocorticography Is Spatially Distributed and Phase Diverse
van der Meij, R., Kahana, M. J., & Maris, E. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.4816-11.2012 · Cited by 127 · see citing works
Kaping, D., Vinck, M. A., Hutchison, R. M., Everling, S., & Womelsdorf, T. (2011) · PLoS Biology · doi:10.1371/journal.pbio.1001224 · Cited by 120 · see citing works
Self-citationTheta reset produces optimal conditions for long‐term potentiation
McCartney, H., Johnson, A. D., Weil, Z. M., & Givens, B. S. (2004) · Hippocampus · doi:10.1002/hipo.20019 · Cited by 117 · 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
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
Self-citationPhillips, J. M., Vinck, M. A., Everling, S., & Womelsdorf, T. (2013) · Cerebral Cortex · doi:10.1093/cercor/bht050 · Cited by 107 · see citing works
Self-citationArdid, S., Vinck, M. A., Kaping, D., Marquez, S., Everling, S., & Womelsdorf, T. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.2700-14.2015 · Cited by 93 · see citing works
Self-citationCorticostriatal Coordination through Coherent Phase-Amplitude Coupling
von Nicolai, C., Engler, G., Sharott, A., Engel, A. K., Moll, C. K. E., & Siegel, M. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.5007-13.2014 · Cited by 83 · see citing works
A Canonical Circuit for Generating Phase-Amplitude Coupling
Onslow, A. C. E., Jones, M. W., & Bogacz, R. (2014) · PLoS ONE · doi:10.1371/journal.pone.0102591 · Cited by 83 · see citing works
Tsujimoto, T., Shimazu, H., Isomura, Y., & Sasaki, K. (2009) · Journal of Neurophysiology · doi:10.1152/jn.00358.2009 · Cited by 67 · see citing works
Shen, C., Ardid, S., Kaping, D., Westendorff, S., Everling, S., & Womelsdorf, T. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhu028 · Cited by 60 · see citing works
Self-citationvan Wingerden, M., van der Meij, R., Tobias Kalenscher, A., Maris, E., & Pennartz, C. M. A. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.2098-13.2014 · Cited by 44 · see citing works
Ih Tunes Theta/Gamma Oscillations and Cross-Frequency Coupling In an In Silico CA3 Model
Neymotin, S. A., Hilscher, M. M., Moulin, T. C., Skolnick, Y., Lazarewicz, M. T., & Lytton, W. W. (2013) · PLoS ONE · doi:10.1371/journal.pone.0076285 · Cited by 40 · see citing works
Phase–Amplitude Coupling and Interlaminar Synchrony Are Correlated in Human Neocortex
McGinn, R. J., & Valiante, T. A. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.2771-14.2014 · Cited by 31 · see citing works
Self-citationA Computational Study on Altered Theta-Gamma Coupling during Learning and Phase Coding
Zhang, X., Kendrick, K. M., Zhou, H., Zhan, Y., & Feng, J. (2012) · PLoS ONE · doi:10.1371/journal.pone.0036472 · Cited by 12 · see citing works
Shearkhani, O., & Takehara‐Nishiuchi, K. (2012) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2012.12.014 · Cited by 9 · see citing works
Flagged first, then by citations
Research works printed but not linked: 2
- [9]9. Lisman JE, Jensen O (2013) The θ-γ neural code. Neuron 77(6):1002-1016.
- [48]48. Berens P (2009) CircStat: A MATLAB toolbox for circular statistics. J Stat Softw 31(10): 1-21.
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VanRullen, R. (2016) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2016.07.006 · Cited by 631 · see citing works
Value, search, persistence and model updating in anterior cingulate cortex
Kolling, N., Wittmann, M. K., Behrens, T. E. J., Boorman, E. D., Mars, R. B., & Rushworth, M. F. S. (2016) · Nature Neuroscience · doi:10.1038/nn.4382 · Cited by 439 · see citing works
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Vanneste, S., Song, J., & Ridder, D. D. (2018) · Nature Communications · doi:10.1038/s41467-018-02820-0 · Cited by 254 · see citing works
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Kolling, N., Behrens, T., Wittmann, M., & Rushworth, M. (2016) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2015.12.007 · Cited by 249 · see citing works
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He, B., Laura Astolfi, A., Valdes-Sosa, P. A., Marinazzo, D., Palva, S., Bénar, C., Michel, C. M., & Koenig, T. W. (2019) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2019.2913928 · Cited by 236 · see citing works
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Vinck, M. A., Uran, C., Spyropoulos, G., Onorato, I., Broggini, A. C., Schneider, M., & Canales‐Johnson, A. (2023) · Neuron · doi:10.1016/j.neuron.2023.03.015 · Cited by 160 · see citing works
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Palva, J. M., & Palva, S. (2017) · European Journal of Neuroscience · doi:10.1111/ejn.13767 · Cited by 131 · see citing works
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Bhattacharya, S., Brincat, S. L., Lundqvist, M., & Miller, E. K. (2022) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1009827 · Cited by 116 · see citing works
Theta oscillations shift towards optimal frequency for cognitive control
Senoussi, M., Verbeke, P., Desender, K., Loof, E. D., Talsma, D., & Verguts, T. (2022) · Nature Human Behaviour · doi:10.1038/s41562-022-01335-5 · Cited by 115 · see citing works
Disruption and rescue of interareal theta phase coupling and adaptive behavior
Reinhart, R. M. G. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1710257114 · Cited by 107 · see citing works
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Womelsdorf, T., & Everling, S. (2015) · Trends in Neurosciences · doi:10.1016/j.tins.2015.08.009 · Cited by 100 · see citing works
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Rufin Vanrullen, A. (2016) · Frontiers in Neuroscience · doi:10.3389/fnins.2016.00426 · Cited by 98 · see citing works
Voloh, B., & Womelsdorf, T. (2016) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2016.00018 · Cited by 96 · see citing works
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Lohani, S., Martig, A. K., Deisseroth, K. A., Witten, I. B., & Moghaddam, B. (2019) · Cell Reports · doi:10.1016/j.celrep.2019.03.012 · Cited by 88 · see citing works
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Javitt, D. C., Siegel, S. J., Spencer, K., Mathalon, D. H., Hong, L. E., Martı́nez, A., Ehlers, C. L., Abbas, A. I., Teichert, T., Lakatos, P., et al. (2020) · Neuropsychopharmacology · doi:10.1038/s41386-020-0697-9 · Cited by 82 · see citing works
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Binding by random bursts: a computational model of cognitive control
Verguts, T. (2017) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01117 · Cited by 76 · 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
Self-citationFerro, D., van Kempen, J., Boyd, M., Panzeri, S., & Thiele, A. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2022097118 · Cited by 75 · see citing works
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Brockett, A. T., Kane, G. A., Monari, P. K., Briones, B. A., Vigneron, P.-A., Barber, G. A., Bermudez, A. F., Dieffenbach, U., Kloth, A. D., Buschman, T. J., et al. (2018) · PLoS ONE · doi:10.1371/journal.pone.0195726 · Cited by 72 · see citing works
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Self-citationDynamic coupling of oscillatory neural activity and its roles in visual attention
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Oemisch, M., Westendorff, S., Everling, S., & Womelsdorf, T. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.1262-15.2015 · Cited by 54 · see citing works
Self-citationMedalla, M., Gilman, J. P., Wang, J., & Luebke, J. I. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.3757-16.2017 · Cited by 54 · see citing works
Lee, D. J., Izadi, A., Melnik, M., Seidl, S. E., Echeverri, A., Shahlaie, K., & Gurkoff, G. G. (2017) · Epilepsy Research · doi:10.1016/j.eplepsyres.2017.01.005 · Cited by 53 · see citing works
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Loof, E. D., Vassena, E., Janssens, C., Taeye, L. D., Meurs, A., Roost, D. V., Boon, P., Raedt, R., & Verguts, T. (2019) · Psychophysiology · doi:10.1111/psyp.13417 · Cited by 41 · see citing works
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Shi, W., Yeh, C.-H., & Hong, Y. E. (2018) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2018.2849823 · Cited by 40 · see citing works
Verbeke, P., & Verguts, T. (2019) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1006604 · Cited by 40 · see citing works
Mazzone, P. A. M., Viselli, F., Ferraina, S., Giamundo, M., Marano, M., Paoloni, M., Masedu, F., Capozzo, A., & Scarnati, E. (2019) · Brain Sciences · doi:10.3390/brainsci9040078 · Cited by 36 · see citing works
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Solís‐Vivanco, R., Rodríguez‐Violante, M., Cervantes‐Arriaga, A., Justo-Guillén, E., & Ricardo-Garcell, J. (2018) · NeuroImage Clinical · doi:10.1016/j.nicl.2018.03.024 · Cited by 34 · see citing works
Voloh, B., & Womelsdorf, T. (2017) · Cerebral Cortex · doi:10.1093/cercor/bhx287 · Cited by 33 · see citing works
Self-citationSnyder, A. C., Yu, B. M., & Smith, M. A. (2021) · Journal of Neuroscience · doi:10.1523/jneurosci.0608-21.2021 · Cited by 30 · see citing works
Could LC-NE-Dependent Adjustment of Neural Gain Drive Functional Brain Network Reorganization?
Guedj, C., David Meunier, A., Meunier, M., & Hadj‐Bouziane, F. (2017) · Neural Plasticity · doi:10.1155/2017/4328015 · Cited by 29 · see citing works
An, J., Yadav, T., Hessburg, J. P., & Francis, J. T. (2019) · eNeuro · doi:10.1523/eneuro.0178-19.2019 · Cited by 29 · see citing works
Sun, W., Li, X., Tang, C., & An, L. (2018) · Frontiers in Pharmacology · doi:10.3389/fphar.2018.01439 · Cited by 28 · see citing works
Zareian, B., Maboudi, K., Daliri, M. R., Moghaddam, H. A., Treue, S., & Esghaei, M. (2020) · Scientific Reports · doi:10.1038/s41598-020-61359-7 · Cited by 28 · see citing works
Oleson, E. B., Hamilton, L. R., & Gomez, D. M. (2021) · Frontiers in Synaptic Neuroscience · doi:10.3389/fnsyn.2021.660218 · Cited by 27 · see citing works
Chien, Y., Wu, S., Chu, C.-P., Hsieh, S., Chao, C., & Gau, S. S. (2017) · Scientific Reports · doi:10.1038/srep36887 · Cited by 24 · see citing works
Boeckx, C. A., & Theofanopoulou, C. (2018) · Cambridge University Press eBooks · doi:10.1017/9781316591529.016 · Cited by 22 · see citing works
Solving the Credit Assignment Problem With the Prefrontal Cortex
Stolyarova, A. (2018) · Frontiers in Neuroscience · doi:10.3389/fnins.2018.00182 · Cited by 22 · see citing works
Cognitive neurophysiology of the prefrontal cortex
Helfrich, R. F., & Knight, R. T. (2019) · Handbook of clinical neurology · doi:10.1016/b978-0-12-804281-6.00003-3 · Cited by 22 · see citing works
The Learning Curve in neurofeedback of Peter Van Deusen: A review article
Ribas, V. R., Ribas, R. D. M. G., & Martins, H. A. D. L. (2016) · Dementia & Neuropsychologia · doi:10.1590/s1980-5764-2016dn1002005 · Cited by 21 · see citing works
Suter, E. E., Weiss, C., & Disterhoft, J. F. (2018) · Hippocampus · doi:10.1002/hipo.23041 · Cited by 21 · see citing works
Phase-amplitude coupling in neuronal oscillator networks
Qin, Y., Menara, T., Bassett, D. S., & Pasqualetti, F. (2021) · Physical Review Research · doi:10.1103/physrevresearch.3.023218 · Cited by 20 · see citing works
Phase Difference between Model Cortical Areas Determines Level of Information Transfer
Wal, M. T., & Tiesinga, P. H. E. (2017) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2017.00006 · Cited by 20 · 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
Self-citationVanRullen, R. (2018) · Wiley eBooks · doi:10.1002/9781119170174.epcn212 · Cited by 20 · see citing works
The theta-gamma code in predictive processing and mnemonic updating
Köster, M. (2024) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2023.105529 · Cited by 19 · see citing works
Lynn, P. A., & Sponheim, S. R. (2016) · Neuropsychiatric Electrophysiology · doi:10.1186/s40810-016-0022-3 · Cited by 19 · see citing works
van Heukelum, S., Mogavero, F., van de Wal, M. A. E., Geers, F. E., França, A. S. C., Buitelaar, J. K., Beckmann, C. F., Glennon, J. C., & Havenith, M. N. (2019) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2019.00809 · Cited by 18 · see citing works
Periodic attention operates faster during more complex visual search
Merholz, G., Grabot, L., Rufin Vanrullen, A., & Dugué, L. (2022) · Scientific Reports · doi:10.1038/s41598-022-10647-5 · Cited by 17 · see citing works
Ma, L., Chan, J. L., Johnston, K., Lomber, S. G., & Everling, S. (2019) · PLoS Biology · doi:10.1371/journal.pbio.3000045 · Cited by 17 · see citing works
Self-citationRyu, S., Gwon, D., Park, C., Ha, Y., & Ahn, M. (2024) · Scientific Reports · doi:10.1038/s41598-024-71219-3 · Cited by 16 · see citing works
Vagus Nerve Stimulation Modulates Phase-Amplitude Coupling in Thalamic Local Field Potentials
Warsi, N. M., Yan, H., Wong, S. M., Yau, I., Breitbart, S. C., Go, C., Gorodetsky, C., Fasano, A. A., Kalia, S. K., Rutka, J. T., et al. (2022) · Neuromodulation Technology at the Neural Interface · doi:10.1016/j.neurom.2022.05.001 · Cited by 16 · see citing works
Ye, T., Romero-Sosa, J. L., Rickard, A., Aguirre, C. G., Wikenheiser, A. M., Blair, H. T., & Izquierdo, A. (2023) · Oxford Open Neuroscience · doi:10.1093/oons/kvad005 · Cited by 15 · see citing works
Lack of redundancy between electrophysiological measures of long-range neuronal communication
Strahnen, D., Kapanaiah, S. K. T., Bygrave, A. M., & Kätzel, D. (2021) · BMC Biology · doi:10.1186/s12915-021-00950-4 · Cited by 15 · see citing works
Empirical analysis of phase-amplitude coupling approaches
Caiola, M. J., Devergnas, A. D., Holmes, M. H., & Wichmann, T. (2019) · PLoS ONE · doi:10.1371/journal.pone.0219264 · Cited by 14 · see citing works
Tsolias, A., & Medalla, M. (2022) · Frontiers in Neural Circuits · doi:10.3389/fncir.2021.795325 · Cited by 13 · see citing works
Theta and alpha power across fast and slow timescales in cognitive control
Huycke, P., Verbeke, P., Boehler, C. N., & Verguts, T. (2021) · European Journal of Neuroscience · doi:10.1111/ejn.15320 · Cited by 12 · see citing works
Wong, S. M., Arski, O. N., Warsi, N. M., Pang, E. W., Kerr, E. N., Smith, M. L., Dunkley, B. T., Ochi, A., Otsubo, H., Sharma, R., et al. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab192 · Cited by 12 · see citing works
Sun, W., Chen, X., Mei, Y., Yang, Y., Li, X., & An, L. (2022) · Molecular Neurobiology · doi:10.1007/s12035-022-02849-9 · Cited by 12 · see citing works
Warsi, N. M., Wong, S. M., Suresh, H., Arski, O. N., Yan, H., Ebden, M., Kerr, E. N., Smith, M. L., Ochi, A., Otsubo, H., et al. (2022) · Epilepsia · doi:10.1111/epi.17365 · Cited by 12 · see citing works
Medalla, M., Chang, W., Ibañez, S., Guillamón-Vivancos, T., Nittmann, M., Kapitonava, A., Busch, S. E., Moore, T. L., Rosene, D. L., & Luebke, J. I. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab347 · Cited by 12 · see citing works
Brain Dynamics of Action Monitoring in Higher-Order Motor Control Disorders: The Case of Apraxia
Spinelli, G., Pezzetta, R., Canzano, L., Tidoni, E., & Aglioti, S. M. (2022) · eNeuro · doi:10.1523/eneuro.0334-20.2021 · Cited by 11 · see citing works
A theta rhythm in macaque visual cortex and its attentional modulationPreprint
Spyropoulos, G., Bosman, C. A., & Fries, P. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/117804 · Cited by 11 · see citing works
Drebitz, E., Rausch, L.-P., & Kreiter, A. K. (2025) · Nature Communications · doi:10.1038/s41467-025-62732-8 · Cited by 10 · see citing works
Halverson, H. E., Kim, J., & Freeman, J. H. (2023) · Journal of Neuroscience · doi:10.1523/jneurosci.0731-23.2023 · Cited by 10 · see citing works
Mid-frontal Theta during Conflict in a Value-based Decision Task
Senftleben, U., & Scherbaum, S. (2021) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01741 · Cited by 10 · see citing works
Fundamentals of Burst Stimulation of the Spinal Cord and Brain
Ridder, D. D., Vancamp, T., & Vanneste, S. (2018) · Elsevier eBooks · doi:10.1016/b978-0-12-805353-9.00014-0 · Cited by 10 · see citing works
Synchronization between frontal eye field and area V4 during free-gaze visual search
Yan, T., & Zhou, H. (2019) · 动物学研究 · doi:10.24272/j.issn.2095-8137.2019.055 · Cited by 10 · see citing works
Nácher, V., Hassani, S. A., & Womelsdorf, T. (2018) · Brain Structure and Function · doi:10.1007/s00429-018-1806-y · Cited by 9 · see citing works
Self-citationComputational Neural Mechanisms of Goal-Directed Planning and Problem Solving
Fine, J. M., Zarr, N., & Brown, J. W. (2020) · Computational Brain & Behavior · doi:10.1007/s42113-020-00095-7 · Cited by 9 · see citing works
Errors elicit frontoparietal theta-gamma coupling that is modulated by endogenous estradiol levels
Moser, J. S., Munia, T. T. K., Louis, C. C., Anderson, G. E., & Aviyente, S. (2024) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2024.112299 · Cited by 8 · see citing works
Time-Based Binding as a Solution to and a Limitation for Flexible Cognition
Senoussi, M., Verbeke, P., & Verguts, T. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.798061 · Cited by 8 · see citing works
Dynamic Computation in Visual Thalamocortical Networks
Moyal, R., & Edelman, S. (2019) · Entropy · doi:10.3390/e21050500 · Cited by 8 · see citing works
Neural Synchrony for Adaptive Control
Verbeke, P., & Verguts, T. (2021) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01766 · Cited by 8 · see citing works
Symeonidou, E.-R., & Ferris, D. P. (2023) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2023.3317055 · Cited by 7 · see citing works
Negrón-Oyarzo, I., Dib, T., Chacana-Véliz, L., Quilodrán, N. L., & Urrutia-Piñones, J. (2024) · Frontiers in Neural Circuits · doi:10.3389/fncir.2024.1286111 · Cited by 7 · see citing works
Stiers, P. L. J., & Goulas, A. (2018) · Brain Structure and Function · doi:10.1007/s00429-018-1638-9 · Cited by 7 · see citing works
Yokoyama, O., Nakayama, Y., & Hoshi, E. (2016) · Journal of Neurophysiology · doi:10.1152/jn.00882.2015 · Cited by 7 · see citing works
Liu, M., Dong, W., Wu, Y., Verbeke, P., Verguts, T., & Chen, Q. (2022) · Cerebral Cortex · doi:10.1093/cercor/bhac352 · Cited by 6 · see citing works
Zhu, J., Tian, K. J., Carrasco, M., & Denison, R. N. (2024) · PNAS Nexus · doi:10.1093/pnasnexus/pgae535 · Cited by 6 · see citing works
Zhao, J., Guo, Y., Tan, Y., Zhang, Y., Liu, S., Liu, Y., Li, J., Ruan, J., Liu, L., & Ren, Z. (2024) · Journal of Affective Disorders · doi:10.1016/j.jad.2024.12.058 · Cited by 6 · see citing works
Warsi, N. M., Wong, S. M., Germann, J., Boutet, A., Arski, O. N., Anderson, R., Erdman, L., Yan, H., Suresh, H., Gouveia, F. V., et al. (2023) · Neural Networks · doi:10.1016/j.neunet.2023.07.019 · Cited by 6 · see citing works
A ubiquitous spectrolaminar motif of local field potential power across the primate cortex?Preprint
Mackey, C. A., Neymotin, S. A., Durá-Bernal, S., Haegens, S., Jones, S. R., Ding, M., & Schroeder, C. E. (2024) · doi:10.31219/osf.io/6wfkx · Cited by 6 · see citing works
- Authors
- Voloh, B., Valiante, T. A., Everling, S., & Womelsdorf, T.
- Affiliations
- York University (CA)
- University of Toronto (CA)
- Western University (CA)
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2015-06-22
- Volume
- 112
- Issue
- 27
- Pages
- 8457-8462
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC4500211
- OpenAlex
- W812715811
- Semantic Scholar
- f8afa6e3765ef9e3625ee22199593998ec505108
- Cited by
- 157
- References
- 51
- Citations by year
- 2026: 7 · 2025: 19 · 2024: 12 · 2023: 7 · 2022: 17 · 2021: 14 · 2020: 11 · 2019: 19 · 2018: 20 · 2017: 17 · 2016: 11 · 2015: 3
- FWCI
- 10.23
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Scholarship@Western (Western University) (submittedVersion)
- YorkSpace (York University) (submittedVersion)
- Funders
- Ontario Ministry of Economic Development and Innovation
- Ministero dello Sviluppo Economico
- Canadian Institutes of Health Research
- Natural Sciences and Engineering Research Council of Canada
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Keywords
- anterior cingulate cortex, lateral prefrontal cortex, attentional shift, burst firing, macaque cortex
- MeSH terms
- Action Potentials, Algorithms, Animals, Attention, Choice Behavior, Cues, Discrimination, Psychological, Electrophysiology, Gyrus Cinguli, Macaca, Models, Neurological, Photic Stimulation, Psychomotor Performance, Theta Rhythm, Prefrontal Cortex, Gamma Rhythm
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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.
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