Entrainment of Neuronal Oscillations as a Mechanism of Attentional Selection
Abstract
Whereas gamma-band neuronal oscillations clearly appear integral to visual attention, the role of lower-frequency oscillations is still being debated. Mounting evidence indicates that a key functional property of these oscillations is the rhythmic shifting of excitability in local neuronal ensembles. Here, we show that when attended stimuli are in a rhythmic stream, delta-band oscillations in the primary visual cortex entrain to the rhythm of the stream, resulting in increased response gain for task-relevant events and decreased reaction times. Because of hierarchical cross-frequency coupling, delta phase also determines momentary power in higher-frequency activity. These instrumental functions of low-frequency oscillations support a conceptual framework that integrates numerous earlier findings.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
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?
Theta is a slow rhythm in which faster rhythms such as gamma can nest and aid long-range communication.
“However, theta is well known to be a slow rhythm in which faster rhythms such as gamma, can nest (60–62) and aid long-range communication (63).”
From Layer and rhythm specificity for predictive routing (2020) · cites this paper as [62]
Cites
Neuronal Oscillations in Cortical Networks
Buzsáki, G., & Draguhn, A. (2004) · Science · doi:10.1126/science.1099745 · Cited by 6,576 · see citing works
A 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
Dynamic predictions: Oscillations and synchrony in top–down processing
Engel, A. K., Fries, P., & Singer, W. (2001) · Nature Reviews Neuroscience · doi:10.1038/35094565 · Cited by 3,454 · 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
High Gamma Power Is Phase-Locked to Theta Oscillations in Human Neocortex
Canolty, R. T., Edwards, E., Dalal, S. S., Soltani, M., Nagarajan, S. S., Kirsch, H. E., Berger, M. S., Barbaro, N. M., & Knight, R. T. (2006) · Science · doi:10.1126/science.1128115 · Cited by 2,650 · see citing works
WALTER, W. G., COOPER, R., ALDRIDGE, V. J., McCALLUM, W. C., & WINTER, A. L. (1964) · Nature · doi:10.1038/203380a0 · Cited by 2,446 · see citing works
Neural mechanisms of spatial selective attention in areas V1, V2, and V4 of macaque visual cortex
Luck, S. J., Chelazzi, L., Hillyard, S. A., & Desimone, R. (1997) · Journal of Neurophysiology · doi:10.1152/jn.1997.77.1.24 · Cited by 1,615 · see citing works
Modulation of Neuronal Interactions Through Neuronal Synchronization
Womelsdorf, T., Schoffelen, J.-M., Oostenveld, R., Singer, W., Desimone, R., Engel, A. K., & Fries, P. (2007) · Science · doi:10.1126/science.1139597 · Cited by 1,367 · see citing works
New vistas for α-frequency band oscillations
Palva, S., & Palva, J. M. (2007) · Trends in Neurosciences · doi:10.1016/j.tins.2007.02.001 · Cited by 1,339 · see citing works
A 40-Hz auditory potential recorded from the human scalp.
Galambos, R., Makeig, S., & Talmachoff, P. J. (1981) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.78.4.2643 · Cited by 1,257 · see citing works
Lakatos, P., Shah, A. S., Knuth, K. H., Ulbert, I., Karmos, G., & Schroeder, C. E. (2005) · Journal of Neurophysiology · doi:10.1152/jn.00263.2005 · Cited by 1,241 · see citing works
Self-citationEffects of Attention on Orientation-Tuning Functions of Single Neurons in Macaque Cortical Area V4
McAdams, C. J., & Maunsell, J. H. R. (1999) · Journal of Neuroscience · doi:10.1523/jneurosci.19-01-00431.1999 · Cited by 1,214 · see citing works
A neural basis for visual search in inferior temporal cortex
Chelazzi, L., Miller, E. K., Duncan, J., & Desimone, R. (1993) · Nature · doi:10.1038/363345a0 · Cited by 1,114 · see citing works
Neuronal oscillations and multisensory interaction in primary auditory cortex
Lakatos, P., Chen, C.-M., O'Connell, M. N., Mills, A., & Schroeder, C. E. (2007) · Neuron · doi:10.1016/j.neuron.2006.12.011 · Cited by 961 · see citing works
Self-citationBuzsáki, G. (2005) · Hippocampus · doi:10.1002/hipo.20113 · Cited by 872 · 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
Inhibitory tagging system facilitates visual search
Klein, R. M. (1988) · Nature · doi:10.1038/334430a0 · Cited by 615 · see citing works
Selective attention to stimulus location modulates the steady-state visual evoked potential.
Morgan, S. T., Hansen, J. C., & Hillyard, S. A. (1996) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.93.10.4770 · Cited by 598 · see citing works
Miniussi, C., Wilding, E. L., Coull, J. T., & Nobre, A. C. (1999) · Brain · doi:10.1093/brain/122.8.1507 · Cited by 379 · see citing works
Nonauditory Events of a Behavioral Procedure Activate Auditory Cortex of Highly Trained Monkeys
Brosch, M., Selezneva, E., & Scheich, H. (2005) · Journal of Neuroscience · doi:10.1523/jneurosci.1571-05.2005 · Cited by 279 · see citing works
Attentional Modulation of SSVEP Power Depends on the Network Tagged by the Flicker Frequency
Ding, J., Sperling, G., & Srinivasan, R. (2005) · Cerebral Cortex · doi:10.1093/cercor/bhj044 · Cited by 275 · see citing works
Intermodal Selective Attention in Monkeys. I: Distribution and Timing of Effects across Visual Areas
Mehta, A. D. (2000) · Cerebral Cortex · doi:10.1093/cercor/10.4.343 · Cited by 267 · see citing works
Self-citationSteady-state evoked potentials
Regan, D. (1977) · Journal of the Optical Society of America · doi:10.1364/josa.67.001475 · Cited by 266 · see citing works
Attention induces synchronization-based response gain in steady-state visual evoked potentials
Kim, Y. J., Grabowecky, M., Paller, K. A., Muthu, K., & Suzuki, S. (2006) · Nature Neuroscience · doi:10.1038/nn1821 · Cited by 261 · see citing works
Is synchronized neuronal gamma activity relevant for selective attention?
Fell, J., Fernández, G., Klaver, P., Elger, C. E., & Fries, P. (2003) · Brain Research Reviews · doi:10.1016/s0165-0173(03)00178-4 · Cited by 252 · see citing works
Separate Modulations of Human V1 Associated with Spatial Attention and Task Structure
Jack, A. I., Shulman, G. L., Snyder, A. Z., McAvoy, M. P., & Corbetta, M. (2006) · Neuron · doi:10.1016/j.neuron.2006.06.003 · Cited by 103 · see citing works
Fries, P. H., Fernández, G., & Jensen, O. (2003) · Trends in Neurosciences · doi:10.1016/s0166-2236(03)00023-7 · Cited by 31 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Alpha-band oscillations, attention, and controlled access to stored information
Klimesch, W. (2012) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2012.10.007 · Cited by 3,310 · 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
“Indeed, there is empirical evidence to support this notion in the visual (Lakatos et al., 2008; Meirovithz et al., 2012; Bosman et al., 2012) and motor (Gwin and Ferris, 2012) domain.”
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
Low-frequency neuronal oscillations as instruments of sensory selection
Schroeder, C. E., & Lakatos, P. (2009) · Trends in Neurosciences · doi:10.1016/j.tins.2008.09.012 · Cited by 1,528 · see citing works
Self-citationSpectral 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
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
Sensorimotor synchronization: a review of recent research (2006–2012).
Repp, B. H., & Su, Y.-H. (2013) · Psychonomic Bulletin & Review · doi:10.3758/s13423-012-0371-2 · Cited by 1,204 · see citing works
Cortical oscillations and sensory predictions
Arnal, L. H., & Giraud, A.-L. (2012) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2012.05.003 · Cited by 1,114 · see citing works
Raichle, M. E. (2010) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2010.01.008 · Cited by 1,111 · see citing works
Different Origins of Gamma Rhythm and High-Gamma Activity in Macaque Visual Cortex
Ray, S., & Maunsell, J. H. R. (2011) · PLoS Biology · doi:10.1371/journal.pbio.1000610 · Cited by 1,012 · see citing works
The Temporal Structures and Functional Significance of Scale-free Brain Activity
He, B. J., Zempel, J. M., Snyder, A. Z., & Raichle, M. E. (2010) · Neuron · doi:10.1016/j.neuron.2010.04.020 · Cited by 990 · see citing works
Network abnormalities and interneuron dysfunction in Alzheimer disease
Palop, J. J., & Mucke, L. (2016) · Nature reviews. Neuroscience · doi:10.1038/nrn.2016.141 · Cited by 1,022 · see citing works
Modelling and analysis of local field potentials for studying the function of cortical circuits
Einevoll, G. T., Kayser, C., Logothetis, N. K., & Panzeri, S. (2013) · Nature Reviews Neuroscience · doi:10.1038/nrn3599 · Cited by 857 · see citing works
Mechanisms underlying selective neuronal tracking of attended speech at a “cocktail party”
Zion Golumbic, E. M., Ding, N., Bickel, S., Lakatos, P., Schevon, C. A., McKhann, G. M., Goodman, R. R., Emerson, R., Mehta, A. D., Simon, J. Z., et al. (2013) · Neuron · doi:10.1016/j.neuron.2012.12.037 · Cited by 909 · see citing works
Self-citationBrain-to-brain synchrony tracks real-world dynamic group interactions in the classroom
Dikker, S., Wan, L., Davidesco, I., Kaggen, L., Oostrik, M., McClintock, J., Rowland, J., Michalareas, G., Van Bavel, J. J., Ding, M., et al. (2017) · Current Biology · doi:10.1016/j.cub.2017.04.002 · Cited by 871 · see citing works
EEG delta oscillations as a correlate of basic homeostatic and motivational processes
Knyazev, G. G. (2012) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2011.10.002 · Cited by 776 · see citing works
Neural synchrony in cortical networks: history, concept and current status
Uhlhaas, P. (2009) · Frontiers in Integrative Neuroscience · doi:10.3389/neuro.07.017.2009 · Cited by 758 · see citing works
Mather, M., Clewett, D., Sakaki, M., & Harley, C. W. (2016) · Behavioral and Brain Sciences · doi:10.1017/s0140525x15000667 · Cited by 695 · see citing works
Promises and limitations of human intracranial electroencephalography
Parvizi, J., & Kastner, S. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0108-2 · Cited by 631 · see citing works
Therapeutic deep brain stimulation reduces cortical phase-amplitude coupling in Parkinson's disease
de Hemptinne, C., Swann, N. C., Ostrem, J. L., Ryapolova-Webb, E. S., San Luciano, M., Galifianakis, N. B., & Starr, P. A. (2015) · Nature Neuroscience · doi:10.1038/nn.3997 · Cited by 623 · see citing works
Speech rhythms and multiplexed oscillatory sensory coding in the human brain
Gross, J., Hoogenboom, N., Thut, G., Schyns, P., Panzeri, S., Belin, P., & Garrod, S. (2013) · PLoS Biology · doi:10.1371/journal.pbio.1001752 · Cited by 643 · see citing works
Voytek, B., & Knight, R. T. (2015) · Biological Psychiatry · doi:10.1016/j.biopsych.2015.04.016 · Cited by 556 · see citing works
Cortex and memory: emergence of a new paradigm
Fuster, J. M. (2009) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2009.21280 · Cited by 559 · see citing works
A New Unifying Account of the Roles of Neuronal Entrainment
Lakatos, P., Gross, J., & Thut, G. (2019) · Current Biology · doi:10.1016/j.cub.2019.07.075 · Cited by 508 · see citing works
Self-citationCritical period regulation across multiple timescales
Reh, R. K., Dias, B. G., Nelson, C. A., Kaufer, D., Werker, J. F., Kolb, B., Levine, J. D., & Hensch, T. K. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1820836117 · Cited by 492 · see citing works
Mental training enhances attentional stability: Neural and behavioral evidence
Lutz, A., Slagter, H. A., Rawlings, N. B., Francis, A. D., Greischar, L. L., & Davidson, R. J. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.1614-09.2009 · Cited by 489 · see citing works
A 4 Hz oscillation adaptively synchronizes prefrontal, VTA, and hippocampal activities
Fujisawa, S., & Buzsáki, G. (2011) · Neuron · doi:10.1016/j.neuron.2011.08.018 · Cited by 501 · see citing works
Separating Fractal and Oscillatory Components in the Power Spectrum of Neurophysiological Signal
Wen, H., & Liu, Z. (2016) · Brain Topography · doi:10.1007/s10548-015-0448-0 · Cited by 419 · see citing works
Neuronal Mechanisms and Attentional Modulation of Corticothalamic Alpha Oscillations
Bollimunta, A., Mo, J., Schroeder, C. E., & Ding, M. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.5580-10.2011 · Cited by 441 · see citing works
Self-citationNeuronal Mechanisms of Cortical Alpha Oscillations in Awake-Behaving Macaques
Bollimunta, A., Chen, Y., Schroeder, C. E., & Ding, M. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.2699-08.2008 · Cited by 434 · see citing works
Self-citationMechanisms 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
Weight consistency specifies regularities of macaque cortical networks
Markov, N. T., Misery, P., Falchier, A., Lamy, C., Vezoli, J., Quilodran, R., Gariel, M. A., Giroud, P., Ercsey-Ravasz, M., Pilaz, L. J., et al. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhq201 · Cited by 386 · 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
Layer-specific modulation of neocortical dendritic inhibition during active wakefulness
Muñoz, W., Tremblay, R., Levenstein, D., & Rudy, B. (2017) · Science · doi:10.1126/science.aag2599 · Cited by 305 · see citing works
Breathing above the brain stem: volitional control and attentional modulation in humans
Herrero, J. L., Khuvis, S., Yeagle, E., Cerf, M., & Mehta, A. D. (2018) · Journal of Neurophysiology · doi:10.1152/jn.00551.2017 · Cited by 338 · see citing works
Self-citationBevilacqua, D., Davidesco, I., Wan, L., Chaloner, K., Rowland, J., Ding, M., Poeppel, D., & Dikker, S. (2019) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01274 · Cited by 312 · see citing works
Methodological considerations for studying neural oscillations
Donoghue, T., Schaworonkow, N., & Voytek, B. (2022) · European Journal of Neuroscience · doi:10.1111/ejn.15361 · Cited by 309 · see citing works
Layer and rhythm specificity for predictive routing
Bastos, A. M., Lundqvist, M., Waite, A. S., Kopell, N., & Miller, E. K. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2014868117 · Cited by 268 · see citing works
“However, theta is well known to be a slow rhythm in which faster rhythms such as gamma, can nest (60 – 62) and aid long-range communication (63).”
Fast and Slow Oscillations in Human Primary Motor Cortex Predict Oncoming Behaviorally Relevant Cues
Saleh, M., Reimer, J., Penn, R., Ojakangas, C. L., & Hatsopoulos, N. G. (2010) · Neuron · doi:10.1016/j.neuron.2010.02.001 · Cited by 281 · see citing works
Keller, C. J., Bickel, S., Honey, C. J., Groppe, D. M., Entz, L., Craddock, R. C., Lado, F. A., Kelly, C., Milham, M., & Mehta, A. D. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.4837-12.2013 · Cited by 245 · see citing works
Self-citationAttentional Enhancement of Auditory Mismatch Responses: a DCM/MEG Study
Auksztulewicz, R., & Friston, K. (2015) · Cerebral Cortex · doi:10.1093/cercor/bhu323 · Cited by 227 · see citing works
Friese, U., Köster, M., Hassler, U., Martens, U., Trujillo-Barreto, N., & Gruber, T. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2012.11.002 · Cited by 233 · see citing works
Dual Neural Routing of Visual Facilitation in Speech Processing
Arnal, L. H., Morillon, B., Kell, C. A., & Giraud, A.-L. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.3194-09.2009 · Cited by 241 · see citing works
Laminar analysis of slow wave activity in humans
Csercsa, R., Dombovári, B., Fabó, D., Wittner, L., Erőss, L., Entz, L., Sólyom, A., Rásonyi, G., Szűcs, A., Kelemen, A., et al. (2010) · Brain · doi:10.1093/brain/awq169 · Cited by 239 · see citing works
Self-citationLutz, A., McFarlin, D. R., Perlman, D. M., Salomons, T. V., & Davidson, R. J. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2012.09.030 · Cited by 233 · see citing works
Anderson, K. L., Rajagovindan, R., Ghacibeh, G. A., Meador, K. J., & Ding, M. (2010) · Cerebral Cortex · doi:10.1093/cercor/bhp223 · Cited by 222 · see citing works
The multisensory function of the human primary visual cortex
Murray, M. M., Thelen, A., Thut, G., Romei, V., Martuzzi, R., & Matusz, P. J. (2016) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2015.08.011 · Cited by 219 · see citing works
Dissociation of broadband high-frequency activity and neuronal firing in the neocortex
Leszczyński, M., Barczak, A., Kajikawa, Y., Ulbert, I., Falchier, A. Y., Tal, I., Haegens, S., Melloni, L., Knight, R. T., & Schroeder, C. E. (2020) · Science Advances · doi:10.1126/sciadv.abb0977 · Cited by 188 · see citing works
Self-citationNeural effects of propofol-induced unconsciousness and its reversal using thalamic stimulation
Bastos, A. M., Donoghue, J. A., Brincat, S. L., Mahnke, M., Yanar, J., Correa, J., Waite, A. S., Lundqvist, M., Roy, J., Brown, E. N., et al. (2021) · eLife · doi:10.7554/elife.60824 · Cited by 166 · see citing works
Kocsis, B. (2012) · Biological Psychiatry · doi:10.1016/j.biopsych.2011.10.002 · Cited by 159 · see citing works
Dynamic network structure of interhemispheric coordination
Doron, K. W., Bassett, D. S., & Gazzaniga, M. S. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1216402109 · Cited by 153 · see citing works
Imaging human brain networks to improve the clinical efficacy of non-invasive brain stimulation
Sale, M. V., Mattingley, J. B., Zalesky, A., & Cocchi, L. (2015) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2015.09.010 · Cited by 145 · see citing works
Wang, L., Saalmann, Y. B., Pinsk, M. A., Arcaro, M. J., & Kastner, S. (2012) · Neuron · doi:10.1016/j.neuron.2012.09.033 · Cited by 158 · see citing works
Theta Phase Synchrony and Conscious Target Perception: Impact of Intensive Mental Training
Slagter, H. A., Lutz, A., Greischar, L. L., Nieuwenhuis, S., & Davidson, R. J. (2009) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2009.21125 · Cited by 132 · see citing works
Infragranular sources of sustained local field potential responses in macaque primary visual cortex
Maier, A., Aura, C. J., & Leopold, D. A. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.5300-09.2011 · Cited by 99 · see citing works
Isler, J. R., Martien, K. M., Grieve, P. G., Stark, R. I., & Herbert, M. R. (2010) · Clinical Neurophysiology · doi:10.1016/j.clinph.2010.05.004 · Cited by 108 · see citing works
Looming Signals Reveal Synergistic Principles of Multisensory Integration
Cappe, C., Thelen, A., Romei, V., Thut, G., & Murray, M. M. (2012) · The Journal of Neuroscience · doi:10.1523/jneurosci.5517-11.2012 · Cited by 107 · see citing works
Pitfalls in the dipolar model for the neocortical EEG sources
Riera, J. J., Ogawa, T., Goto, T., Sumiyoshi, A., Nonaka, H., Evans, A., Miyakawa, H., & Kawashima, R. (2012) · Journal of Neurophysiology · doi:10.1152/jn.00098.2011 · Cited by 98 · see citing works
Predictive Coding in Sensory Cortex
Kok, P., & de Lange, F. P. (2015) · An Introduction to Model-Based Cognitive Neuroscience · doi:10.1007/978-1-4939-2236-9_11 · Cited by 98 · see citing works
Shifting 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
All My Circuits: Using Multiple Electrodes to Understand Functioning Neural Networks
Miller, E. K., & Wilson, M. A. (2008) · Neuron · doi:10.1016/j.neuron.2008.10.033 · Cited by 76 · see citing works
Trongnetrpunya, A., Nandi, B., Kang, D., Kocsis, B., Schroeder, C. E., & Ding, M. (2016) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2015.00189 · Cited by 75 · see citing works
Self-citationCognition 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
Palva, J. M., & Palva, S. (2011) · Progress in Brain Research · doi:10.1016/b978-0-444-53839-0.00022-3 · Cited by 63 · see citing works
Brain-to-brain synchrony between students and teachers predicts learning outcomes
Davidesco, I., Laurent, E., Valk, H., West, T., Dikker, S., Milne, C., & Poeppel, D. (2019) · doi:10.1101/644047 · Cited by 50 · see citing works
Tewari, S., & Parpura, V. (2013) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2013.00145 · Cited by 35 · see citing works
Beker, S., Foxe, J. J., & Molholm, S. (2021) · Journal of Neurophysiology · doi:10.1152/jn.00329.2021 · Cited by 35 · see citing works
Luo, Q., Cheng, X., Holroyd, T., Xu, D., Carver, F., & Blair, R. J. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00940 · Cited by 31 · see citing works
Yu, K., Wang, J., Deng, B., & Wei, X. (2013) · Cognitive Neurodynamics · doi:10.1007/s11571-012-9233-x · Cited by 17 · see citing works
Yu, F., Chen, X., Zhang, L., Bai, T., Gao, Y., Dong, Y., Luo, Y., Zhu, C., & Wang, K. (2019) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2019.00853 · Cited by 17 · see citing works
- Authors
- Lakatos, P., Karmos, G., Mehta, A. D., Ulbert, I., & Schroeder, C. E.
- Affiliations
- Cognitive Neuroscience and Schizophrenia Program, Nathan Kline Institute, Orangeburg, NY 10962, USA.
- Nathan Kline Institute for Psychiatric Research (US)
- Corresponding author
- Schroeder, Charles E.
- ORCID
- Mehta, Ashesh D.
- Venue
- Science
- Published
- 2008-04-04
- Volume
- 320
- Issue
- 5872
- Pages
- 110-113
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2094850439
- Cited by
- 1,719
- References
- 27
- Citations by year
- 2026: 63 · 2025: 83 · 2024: 88 · 2023: 99 · 2022: 87 · 2021: 116 · 2020: 118 · 2019: 115 · 2018: 117 · 2017: 118 · 2016: 94 · 2015: 102 · 2014: 85 · 2013: 97 · 2012: 88
- FWCI
- 42.51
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Science (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institute of Mental Health (R01MH060358, MH 060358)
- 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
- neural oscillations, entrainment, selective attention, visual attention, primary visual cortex, cross-frequency coupling, response gain, reaction time, excitability
- MeSH terms
- Acoustic Stimulation, Animals, Attention, Cues, Delta Rhythm, Electroencephalography, Electrophysiology, Macaca fascicularis, Male, Neurons, Periodicity, Photic Stimulation, Reaction Time, Visual Cortex, Visual Perception
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