Oscillatory phase modulates the timing of neuronal activations and resulting behavior
Open accessAbstract
Human behavioral response timing is highly variable from trial to trial. While it is generally understood that behavioral variability must be due to trial-by-trial variations in brain function, it is still largely unknown which physiological mechanisms govern the timing of neural activity as it travels through networks of neuronal populations, and how variations in the timing of neural activity relate to variations in the timing of behavior. In our study, we submitted recordings from the cortical surface to novel analytic techniques to chart the trajectory of neuronal population activity across the human cortex in single trials, and found joint modulation of the timing of this activity and of consequent behavior by neuronal oscillations in the alpha band (8-12Hz). Specifically, we established that the onset of population activity tends to occur during the trough of oscillatory activity, and that deviations from this preferred relationship are related to changes in the timing of population activity and the speed of the resulting behavioral response. These results indicate that neuronal activity incurs variable delays as it propagates across neuronal populations, and that the duration of each delay is a function of the instantaneous phase of oscillatory activity. We conclude that the results presented in this paper are supportive of a general model for variability in the effective speed of information transmission in the human brain and for variability in the timing of human behavior.
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Alpha oscillations have been associated with temporal integration, attentional control of speech processing, and verbal fluency.
“For example, alpha oscillations have been associated with temporal integration [45, 46], attentional control of speech processing [47], and verbal fluency [48].”
From EEG power at 3 months in infants at high familial risk for autism (2017) · cites this paper as [46]
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Cites
Investigating causal relations by econometric models and cross-spectral methods
Granger, C. W. J. (1969) · Econometrica · doi:10.2307/1912791 · Cited by 22,989 · see citing works
Posner, M. I. (1980) · Quarterly Journal of Experimental Psychology · doi:10.1080/00335558008248231 · Cited by 9,670 · see citing works
The attention system of the human brain
Posner, M. I., & Petersen, S. E. (1990) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.13.030190.000325 · Cited by 8,070 · cited 1× · see citing works
“The behavioral paradigm used in this study was a modified Posner cueing task (Posner, 1980; Posner and Petersen, 1990).”
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
EEG alpha oscillations: The inhibition–timing hypothesis
Klimesch, W., Sauseng, P., & Hanslmayr, S. (2006) · Brain Research Reviews · doi:10.1016/j.brainresrev.2006.06.003 · Cited by 3,890 · see citing works
Speed of processing in the human visual system
Thorpe, S., Fize, D., & Marlot, C. (1996) · Nature · doi:10.1038/381520a0 · Cited by 3,538 · 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
Shaping Functional Architecture by Oscillatory Alpha Activity: Gating by Inhibition
Jensen, O., & Mazaheri, A. (2010) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2010.00186 · Cited by 3,237 · see citing works
BCI2000: A General-Purpose Brain-Computer Interface (BCI) System
Schalk, G., McFarland, D. J., Hinterberger, T., Birbaumer, N., & Wolpaw, J. R. (2004) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2004.827072 · Cited by 3,022 · 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
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
The Phase of Ongoing EEG Oscillations Predicts Visual Perception
Busch, N. A., Dubois, J., & Rufin Vanrullen, A. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.0113-09.2009 · Cited by 1,133 · 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
Synchronous neural oscillations and cognitive processes
Ward, L. M. (2003) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2003.10.012 · Cited by 1,009 · see citing works
Manning, J. R., Jacobs, J., Fried, I., & Kahana, M. J. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.2041-09.2009 · Cited by 973 · see citing works
Prestimulus Oscillatory Activity in the Alpha Band Predicts Visual Discrimination Ability
van Dijk, H., Schoffelen, J., Oostenveld, R., & Jensen, O. B. (2008) · Journal of Neuroscience · doi:10.1523/jneurosci.1853-07.2008 · Cited by 831 · see citing works
Intrinsic Fluctuations within Cortical Systems Account for Intertrial Variability in Human Behavior
Fox, M., Snyder, A. Z., Vincent, J. L., & Raichle, M. E. (2007) · Neuron · doi:10.1016/j.neuron.2007.08.023 · Cited by 753 · see citing works
Power-Law Scaling in the Brain Surface Electric Potential
Miller, K. J., Sorensen, L. B., Ojemann, J. G., & den Nijs, M. (2009) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000609 · Cited by 742 · see citing works
Spike-based strategies for rapid processing
Thorpe, S. J., Delorme, A., & Rullen, R. V. (2001) · Neural Networks · doi:10.1016/s0893-6080(01)00083-1 · Cited by 740 · see citing works
Haegens, S., Nácher, V., Luna, R., Romo, R., & Jensen, O. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1117190108 · Cited by 738 · see citing works
Spontaneous EEG oscillations reveal periodic sampling of visual attention
Busch, N. A., & Rufin Vanrullen, A. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1004801107 · Cited by 578 · see citing works
Decoding two-dimensional movement trajectories using electrocorticographic signals in humans
Schalk, G., Kubanek, J., Miller, K. J., Anderson, N., Leuthardt, E. C., Ojemann, J. G., Limbrick, D. D., Moran, D. W., Gerhardt, L. A., & Wolpaw, J. R. (2007) · Journal of Neural Engineering · doi:10.1088/1741-2560/4/3/012 · Cited by 527 · see citing works
Self-citationTiming of neurotransmission at fast synapses in the mammalian brain
Sabatini, B. L., & Regehr, W. G. (1996) · Nature · doi:10.1038/384170a0 · Cited by 442 · see citing works
Causal Modelling and Brain Connectivity in Functional Magnetic Resonance Imaging
Friston, K. J. (2009) · PLoS Biology · doi:10.1371/journal.pbio.1000033 · Cited by 439 · see citing works
Meister, M., & Berry, M. J. (1999) · Neuron · doi:10.1016/s0896-6273(00)80700-x · Cited by 431 · see citing works
Voytek, B. (2010) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2010.00191 · Cited by 401 · see citing works
Frequency-Band Coupling in Surface EEG Reflects Spiking Activity in Monkey Visual Cortex
Whittingstall, K., & Logothetis, N. K. (2009) · Neuron · doi:10.1016/j.neuron.2009.08.016 · Cited by 364 · see citing works
Rapid feature selective neuronal synchronization through correlated latency shifting
Fries, P., Neuenschwander, S., Engel, A. K., Goebel, R., & Singer, W. (2001) · Nature Neuroscience · doi:10.1038/84032 · Cited by 342 · see citing works
Direct connections of rat visual cortex with sensory, motor, and association cortices
Miller, M. W., & Vogt, B. A. (1984) · The Journal of Comparative Neurology · doi:10.1002/cne.902260204 · Cited by 300 · see citing works
The importance of intraindividual variation in reaction time
Jensen, A. R. (1992) · Personality and Individual Differences · doi:10.1016/0191-8869(92)90004-9 · Cited by 261 · see citing works
Rate coding versus temporal order coding: a theoretical approach
Gautrais, J., & Thorpe, S. J. (1998) · Biosystems · doi:10.1016/s0303-2647(98)00050-1 · Cited by 236 · see citing works
Human Motor Cortical Activity Is Selectively Phase-Entrained on Underlying Rhythms
Miller, K. J., Hermes, D., Honey, C. J., Hebb, A. O., Ramsey, N. F., Knight, R. T., Ojemann, J. G., & Fetz, E. E. (2012) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002655 · Cited by 235 · see citing works
A Practical Guide to Brain–Computer Interfacing with BCI2000
Schalk, G., & Mellinger, J. (2010) · Springer eBooks · doi:10.1007/978-1-84996-092-2 · Cited by 216 · see citing works
Self-citationOscillatory dynamics coordinating human frontal networks in support of goal maintenance
Voytek, B., Kayser, A. S., Badre, D., Fegen, D., Chang, E. F., Crone, N. E., Parvizi, J., Knight, R. T., & D’Esposito, M. (2015) · Nature Neuroscience · doi:10.1038/nn.4071 · Cited by 213 · see citing works
Phase of alpha brain waves, reaction time and visually evoked potentials
Dustman, R. E., & Beck, E. C. (1965) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(65)90123-9 · Cited by 173 · see citing works
Reaction time and EEG activation under alerted and nonalerted conditions.
Lansing, R., Schwartz, E., & Lindsley, D. B. (1959) · Journal of Experimental Psychology · doi:10.1037/h0041016 · Cited by 160 · see citing works
Broadband Spectral Change: Evidence for a Macroscale Correlate of Population Firing Rate?: Figure 1.
Miller, K. J. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.6401-09.2010 · Cited by 154 · see citing works
Face processing using one spike per neurone
Rufin Vanrullen, A., Jacques Gautrais, A., Arnaud Delorme, A., & Thorpe, S. J. (1998) · Biosystems · doi:10.1016/s0303-2647(98)00070-7 · Cited by 154 · see citing works
Prestimulus Oscillatory Phase at 7 Hz Gates Cortical Information Flow and Visual Perception
Hanslmayr, S., Volberg, G., Wimber, M., Dalal, S. S., & Greenlee, M. W. (2013) · Current Biology · doi:10.1016/j.cub.2013.09.020 · Cited by 151 · see citing works
Face identification using one spike per neuron: resistance to image degradations
Delorme, A., & Thorpe, S. J. (2001) · Neural Networks · doi:10.1016/s0893-6080(01)00049-1 · Cited by 148 · see citing works
A method for event-related phase/amplitude coupling
Voytek, B., D’Esposito, M., Crone, N. E., & Knight, R. T. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.09.023 · Cited by 143 · 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
Spike arrival times: A highly efficient coding scheme for neural networks
Thorpe, S. J. (1990) · Medical Entomology and Zoology · Cited by 126 · see citing works
Large-scale spatiotemporal spike patterning consistent with wave propagation in motor cortex
Takahashi, K., Kim, S., Coleman, T. P., Brown, K. A., Suminski, A. J., Best, M. D., & Hatsopoulos, N. G. (2015) · Nature Communications · doi:10.1038/ncomms8169 · Cited by 101 · see citing works
Laws of the simple visual reaction time.
Teichner, W. H., & Krebs, M. J. (1972) · Psychological Review · doi:10.1037/h0032946 · Cited by 99 · see citing works
Electrical activity of the cortex accompanying movement
Bates, J. A. (1951) · The Journal of Physiology · doi:10.1113/jphysiol.1951.sp004569 · Cited by 90 · see citing works
Using Neuronal Latency to Determine Sensory–Motor Processing Pathways in Reaction Time Tasks
DiCarlo, J. J., & Maunsell, J. H. R. (2004) · Journal of Neurophysiology · doi:10.1152/jn.00508.2004 · Cited by 75 · see citing works
Schalk, G. (2015) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2015.00352 · Cited by 61 · see citing works
Self-citationDecoding covert spatial attention using electrocorticographic (ECoG) signals in humans
Gunduz, A., Brunner, P., Daitch, A. L., Leuthardt, E. C., Ritaccio, A. L., Pesaran, B., & Schalk, G. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.02.017 · Cited by 56 · see citing works
Self-citationKubanek, J., & Schalk, G. (2014) · Neuroinformatics · doi:10.1007/s12021-014-9252-3 · Cited by 55 · see citing works
Self-citationPeriodicity and Evoked Responses in Motor Cortex
Reimer, J., & Hatsopoulos, N. G. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.5947-09.2010 · Cited by 50 · see citing works
Neural Correlates of Visual?Spatial Attention in Electrocorticographic Signals in Humans
Gunduz, A., Brunner, P., Daitch, A. L., Leuthardt, E. C., Ritaccio, A. L., Pesaran, B., & Schalk, G. (2011) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2011.00089 · Cited by 49 · see citing works
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Banerjee, A., Dean, H. L., & Pesaran, B. (2010) · Journal of Neurophysiology · doi:10.1152/jn.00036.2010 · Cited by 15 · see citing works
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Flagged first, then by citations
Research works printed but not linked: 1
- Talairach J Tournoux P 1988 Co-Planar Sterotaxic Atlas of the Human Brain Thieme Medical Publishers, Inc New York
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Crowther, L. J., Brunner, P., Kapeller, C., Guger, C., Kamada, K., Bunch, M. E., Frawley, B. K., Lynch, T. M., Ritaccio, A. L., & Schalk, G. (2018) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2018.09.034 · Cited by 64 · see citing works
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- Authors
- Coon, W. G., Gunduz, A., Brunner, P., Ritaccio, A. L., Pesaran, B., & Schalk, G.
- Affiliations
- New York State Department of Health (US)
- Albany Medical College (US)
- New York University (US)
- Corresponding author
- Schalk, G.
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2016-06
- Volume
- 133
- Pages
- 294-301
- ISSN
- 1053-8119 (ISSN-L)
- PMC
- PMC4889525
- OpenAlex
- W2293946713
- Cited by
- 41
- References
- 54
- Citations by year
- 2026: 2 · 2025: 2 · 2024: 9 · 2023: 7 · 2022: 1 · 2021: 5 · 2020: 2 · 2019: 3 · 2018: 4 · 2017: 4 · 2016: 2
- FWCI
- 2.76
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Licence
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (EB006356, EB018783, EB00856)
- U.S. Army Aeromedical Research Laboratory (W911NF-08-1-0216, W911NF-12-1-0109, W911NF-14-1-0440)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neuroscience and Music Perception
- Keywords
- neural oscillations, alpha band, oscillatory phase, neural population activity, trial-to-trial variability, single-trial analysis, human cortex
- MeSH terms
- Adult, Alpha Rhythm, Biological Clocks, Cerebral Cortex, Computer Simulation, Female, Humans, Male, Middle Aged, Models, Neurological, Nerve Net, Neuronal Plasticity, Brain Waves
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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.
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 ›
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