Aperiodic phase re‐setting in scalp EEG of beta–gamma oscillations by state transitions at alpha–theta rates
Open accessAbstract
We evaluated the rapid changes in regional scalp EEG synchronization in normal subjects with spatial and temporal resolution exceeding prior art 10‐fold with a high spatial density array and the Hilbert transform. A curvilinear array of 64 electrodes 3 mm apart extending 18.9 cm across the scalp was used to record EEG at 200/sec. Analytic amplitude (AA) and phase (AP) were calculated at each time step for the 64 traces in the analog pass band of 0.5–120 Hz. AP differences approximated the AP derivative (instantaneous frequency). The AP from unfiltered EEG revealed no reproducible patterns. Filtering was necessary in the β and gamma ranges according to a technique that optimized the correlation of the AP differences with the activity band pass filtered in the alpha range. The sizes of temporal AP differences were usually within ±0.5 radian from the average step corresponding to the center frequency of the pass band. Large AP differences were often synchronized over distances of 6 to 19 cm. An optimal pass band to detect and measure these recurring jumps in AP in the β and γ ranges was found by maximizing the α peak in the cospectrum of the correlation between unfiltered EEG and the band pass AP differences. Synchronized AP jumps recurred in clusters (CAP) at α and theta rates in resting subjects and with EMG. Cortex functions by serial changes in state. The Hilbert transform of EEG from high‐density arrays can visualize these state transitions with high temporal and spatial resolution and should be useful in relating EEG to cognition. Hum. Brain Mapping 19:248–272, 2003. © 2003 Wiley‐Liss, Inc.
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Using a Hilbert analysis of the cortical EEG, Freeman et al. report that electrophysiological equilibria reflect a hemisphere-wide spatial phase change, occurring at theta rates.
“Using a Hilbert analysis of the cortical EEG, Freeman et al. (2003) report that electrophysiological equilibria reflect a hemisphere-wide spatial phase change, occurring at theta rates.”
From Global Workspace Dynamics: Cortical “Binding and Propagation” Enables Conscious Contents (2013) · cites this paper as Freeman et al. (2003)
Cites
Collective dynamics of ‘small-world’ networks
Watts, D. J., & Strogatz, S. H. (1998) · Nature · doi:10.1038/30918 · Cited by 43,060 · see citing works
PIKOVSKY, A. S., Rosenblum, M., & Kurths, J. (2001) · Cambridge University Press eBooks · doi:10.1017/cbo9780511755743 · Cited by 8,250 · see citing works
Self-organized criticality: An explanation of the 1/ f noise
Bak, P., Tang, C., & Wiesenfeld, K. A. (1987) · Physical Review Letters · doi:10.1103/physrevlett.59.381 · Cited by 7,644 · see citing works
The brainweb: phase synchronization and large-scale integration
Varela, F., Lachaux, J.-P., Rodriguez, E., & Martinerie, J. (2001) · Nature Reviews Neuroscience · doi:10.1038/35067550 · Cited by 4,761 · see citing works
Visual Feature Integration and the Temporal Correlation Hypothesis
Singer, W., & Gray, C. M. (1995) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.18.030195.003011 · Cited by 3,157 · see citing works
Perception's shadow: long-distance synchronization of human brain activity
Rodriguez, E., George, N., Lachaux, J.-P., Martinerie, J., Renault, B., & Varela, F. J. (1999) · Nature · doi:10.1038/17120 · Cited by 1,915 · see citing works
Stimulus Specificity of Phase-Locked and Non-Phase-Locked 40 Hz Visual Responses in Human
Tallon‐Baudry, C., Bertrand, O., Delpuech, C., & Pernier, J. (1996) · Journal of Neuroscience · doi:10.1523/jneurosci.16-13-04240.1996 · Cited by 1,526 · see citing works
Nunez, P. L., Srinivasan, R., Westdorp, A. F., Wijesinghe, R. S., Tucker, D. M., Silberstein, R. B., & Cadusch, P. J. (1997) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/s0013-4694(97)00066-7 · Cited by 1,230 · see citing works
Long-Range Temporal Correlations and Scaling Behavior in Human Brain Oscillations
Linkenkaer-Hansen, K., Nikouline, V. V., Palva, J. M., & Ilmoniemi, R. J. (2001) · The Journal of Neuroscience · doi:10.1523/jneurosci.21-04-01370.2001 · Cited by 1,149 · see citing works
Induced γ-Band Activity during the Delay of a Visual Short-Term Memory Task in Humans
Tallon‐Baudry, C., Bertrand, O., Peronnet, F., & Pernier, J. (1998) · Journal of Neuroscience · doi:10.1523/jneurosci.18-11-04244.1998 · Cited by 900 · see citing works
Comparison of Hilbert transform and wavelet methods for the analysis of neuronal synchrony
Quyen, M. L. V., Foucher, J., Lachaux, J.-P., Rodríguez, E., Antoine Lutz, A., Martinerie, J. M., & Varela, F. J. (2001) · Journal of Neuroscience Methods · doi:10.1016/s0165-0270(01)00372-7 · Cited by 885 · see citing works
Quiroga, R. Q., Kraskov, A., Kreuz, T., & Grassberger, P. (2002) · Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics · doi:10.1103/physreve.65.041903 · Cited by 844 · see citing works
Hawkes, P. W. (1978) · Nature · doi:10.1038/272740a0 · Cited by 832 · see citing works
Corticothalamic resonance, states of vigilance and mentation
Steriade, M. (2000) · Neuroscience · doi:10.1016/s0306-4522(00)00353-5 · Cited by 817 · see citing works
Coherence of gamma-band EEG activity as a basis for associative learning
Miltner, W. H. R., Braun, C., Arnold, M., Witte, H., & Taub, E. (1999) · Nature · doi:10.1038/17126 · Cited by 798 · see citing works
Large-scale cortical networks and cognition
Bressler, S. L. (1995) · Brain Research Reviews · doi:10.1016/0165-0173(94)00016-i · Cited by 548 · see citing works
Human oscillatory brain activity near 40 Hz coexists with cognitive temporal binding.
Joliot, M., Ribary, U., & Llinas, R. H. (1994) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.91.24.11748 · Cited by 543 · see citing works
Toward an interpretation of dynamic neural activity in terms of chaotic dynamical systems
Tsuda, I. (2001) · Behavioral and Brain Sciences · doi:10.1017/s0140525x01000097 · Cited by 484 · see citing works
Neurodynamics: An Exploration in Mesoscopic Brain Dynamics
Freeman, W. (2000) · Perspectives in neural computing · doi:10.1007/978-1-4471-0371-4 · Cited by 433 · see citing works
Self-citationHaken, H., & Stadler, M. (1990) · Springer series in synergetics · doi:10.1007/978-3-642-48779-8 · Cited by 412 · see citing works
Spatial spectra of scalp EEG and EMG from awake humans
Freeman, W., Holmes, M., Burke, B. C., & Vanhatalo, S. (2003) · Clinical Neurophysiology · doi:10.1016/s1388-2457(03)00045-2 · Cited by 370 · see citing works
Self-citationChange in pattern of ongoing cortical activity with auditory category learning
Ohl, F. W., Scheich, H., & Freeman, W. J. (2001) · Nature · doi:10.1038/35089076 · Cited by 345 · see citing works
Self-citationSpatial spectral analysis of human electrocorticograms including the alpha and gamma bands
Freeman, W., Rogers, L. J., Holmes, M., & Silbergeld, D. L. (2000) · Journal of Neuroscience Methods · doi:10.1016/s0165-0270(99)00160-0 · Cited by 323 · see citing works
Self-citationSpatial patterns of visual cortical fast EEG during conditioned reflex in a rhesus monkey
Freeman, W. J., & van Dijk, B. W. (1987) · Brain Research · doi:10.1016/0006-8993(87)90933-4 · Cited by 282 · see citing works
Self-citationBarrie, J. M., Freeman, W. J., & Lenhart, M. D. (1996) · Journal of Neurophysiology · doi:10.1152/jn.1996.76.1.520 · Cited by 218 · see citing works
Self-citationAnalysis of Spatial Patterns of Phase in Neocortical Gamma EEGs in Rabbit
Freeman, W. J., & Barrie, J. M. (2000) · Journal of Neurophysiology · doi:10.1152/jn.2000.84.3.1266 · Cited by 192 · see citing works
Self-citationRelation of olfactory EEG to behavior: Spatial analysis.
Freeman, W., & Baird, B. (1987) · Behavioral Neuroscience · doi:10.1037//0735-7044.101.3.393 · Cited by 182 · see citing works
Self-citationFreeman, W., & Rogers, L. J. (2002) · Journal of Neurophysiology · doi:10.1152/jn.00254.2001 · Cited by 177 · see citing works
Self-citationFreeman, W. (1975) · Cited by 168 · see citing works
Self-citationScaling properties of fluctuations in the human electroencephalogram
Hwa, R. C., & Ferrée, T. C. (2002) · Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics · doi:10.1103/physreve.66.021901 · Cited by 155 · see citing works
Hoppensteadt, F. C., & Izhikevich, E. M. (1998) · Biosystems · doi:10.1016/s0303-2647(98)00053-7 · Cited by 145 · see citing works
M�ller, M., Bosch, J., Elbert, T. R., Kreiter, A. K., Sosa, M. V., Sosa, P., & Rockstroh, B. S. (1996) · Experimental Brain Research · doi:10.1007/bf00227182 · Cited by 145 · see citing works
The Electroencephalogram: Its Patterns and Origins
Barlow, J. S. (1993) · Medical Entomology and Zoology · Cited by 130 · see citing works
Analysis of Neurophysiological Brain Functioning
Uhl, C. (1999) · Springer series in synergetics · doi:10.1007/978-3-642-60007-4 · Cited by 124 · see citing works
Relation of olfactory EEG to behavior: Factor analysis.
Freeman, W., & Grajski, K. A. (1987) · Behavioral Neuroscience · doi:10.1037//0735-7044.101.6.766 · Cited by 121 · see citing works
Self-citationRelation of olfactory EEG to behavior: Time series analysis.
Freeman, W. J., & Prisco, G. V. D. (1986) · Behavioral Neuroscience · doi:10.1037//0735-7044.100.5.753 · Cited by 116 · see citing works
Self-citationSynchronous cortical gamma-band activity in task-relevant cognition
Haig, A. R., Gordon, E., Wright, J. J., Meares, R. A., & Bahramali, H. (2000) · Neuroreport · doi:10.1097/00001756-200003200-00004 · Cited by 93 · see citing works
Freeman, W. J. (2003) · International Journal of Bifurcation and Chaos · doi:10.1142/s0218127403008144 · Cited by 91 · see citing works
Self-citationA neurobiological theory of meaning in perception
Freeman, W. J. (2004) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn.2003.1223896 · Cited by 74 · see citing works
Self-citationFreeman, W. (1990) · Springer series in synergetics · doi:10.1007/978-3-642-48779-8_8 · Cited by 63 · see citing works
Self-citationFreeman, W. J. (2000) · International Journal of Bifurcation and Chaos · doi:10.1142/s0218127400001547 · Cited by 63 · see citing works
Self-citationFreeman, W. J., Gaál, G., & JORSTEN, R. (2003) · International Journal of Bifurcation and Chaos · doi:10.1142/s0218127403008260 · Cited by 55 · see citing works
Self-citationNeural networks for consciousness
Taylor, J. G. (1997) · Neural Networks · doi:10.1016/s0893-6080(97)00064-6 · Cited by 47 · see citing works
Freeman, W. J. (2003) · International Journal of Bifurcation and Chaos · doi:10.1142/s0218127403008156 · Cited by 39 · see citing works
Self-citationThe Electroencephalogram: Its Patterns and Origins
Gibbs, F. A. (1994) · JAMA · doi:10.1001/jama.1994.03520170036026 · Cited by 37 · see citing works
What Can Synergetics Contribute to the Understanding of Brain Functioning?
Haken, H. (1999) · Springer series in synergetics · doi:10.1007/978-3-642-60007-4_2 · Cited by 36 · see citing works
Complex Phase Synchronization in Neurophysiological Data
Tass, P. A., Kurths, J., Rosenblum, M., Weule, J., PIKOVSKY, A. S., Volkmann, J., Schnitzler, A., & Freund, H. (1999) · Springer series in synergetics · doi:10.1007/978-3-642-60007-4_14 · Cited by 16 · see citing works
Hochfrequente oszillatorische Aktivitäten im menschlichen Gehirn
Müller, M. M. (2000) · Experimental Psychology (formerly Zeitschrift für Experimentelle Psychologie) · doi:10.1026//0949-3964.47.4.231 · Cited by 13 · see citing works
Freeman, W. J., & Rogers, L. (2003) · Cited by 7 · see citing works
Self-citationGaál, G., & Freeman, W. J. (1998) · Springer eBooks · doi:10.1007/978-1-4615-4831-7_4 · Cited by 5 · see citing works
Self-citationFreeman, W. J., III, & Burke, B. C. (2003) · eScholarship (California Digital Library) · Cited by 2 · see citing works
Self-citationFreeman, W. J., III, & Rogers, L. J. (2003) · eScholarship (California Digital Library) · Cited by 2 · see citing works
Self-citation[High freuquency oscillatory activity in the human brain].
Mm, M. (2000) · PubMed · Cited by 1 · see citing works
High-resolution intersubject averaging and a coordinate system for the cortical surface
Fischl, B., Sereno, M. I., Tootell, R. B. H., & Dale, A. M. (1999) · Human Brain Mapping · doi:10.1002/(sici)1097-0193(1999)8:4
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Mining event-related brain dynamics
Makeig, S., Debener, S., Onton, J., & Arnaud Delorme, A. (2004) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2004.03.008 · Cited by 1,499 · see citing works
Human hippocampal theta oscillations and the formation of episodic memories
Lega, B. C., Jacobs, J., & Kahana, M. (2012) · Hippocampus · doi:10.1002/hipo.20937 · Cited by 485 · see citing works
Numerical representation in the parietal lobes: Abstract or not abstract?
Kadosh, R. C., & Walsh, V. (2009) · Behavioral and Brain Sciences · doi:10.1017/s0140525x09990938 · Cited by 320 · see citing works
Global Workspace Dynamics: Cortical “Binding and Propagation” Enables Conscious Contents
Baars, B. J., Franklin, S., & Ramsoy, T. Z. (2013) · Frontiers in Psychology · doi:10.3389/fpsyg.2013.00200 · Cited by 294 · see citing works
“Llinas and Pare (1991) have emphasized the integration of specific and non-specific thalamocortical signaling, and Freeman et al. (2003) have developed a conception of hemisphere-wide signaling and phase changes.”
BackgroundMethodInfluentialDehaene, S., & Changeux, J.-P. (2005) · PLoS Biology · doi:10.1371/journal.pbio.0030141 · Cited by 329 · see citing works
Operational principles of neurocognitive networks
Bressler, S. L., & Tognoli, E. (2006) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2005.12.008 · Cited by 259 · see citing works
A theoretical and experimental study of neuromorphic atomic switch networks for reservoir computing
Sillin, H. O., Aguilera, R., Shieh, H.-H., Avizienis, A. V., Aono, M., Stieg, A. Z., & Gimzewski, J. K. (2013) · Nanotechnology · doi:10.1088/0957-4484/24/38/384004 · Cited by 255 · see citing works
Origin, structure, and role of background EEG activity. Part 1. Analytic amplitude
Freeman, W. (2004) · Clinical Neurophysiology · doi:10.1016/j.clinph.2004.02.029 · Cited by 248 · see citing works
Self-citationScale‐free dynamics of global functional connectivity in the human brain
Stam, C. J., & de Bruin, E. A. (2004) · Human Brain Mapping · doi:10.1002/hbm.20016 · Cited by 242 · see citing works
Rest-stimulus interaction in the brain: a review
Northoff, G., Qin, P., & Nakao, T. (2010) · Trends in Neurosciences · doi:10.1016/j.tins.2010.02.006 · Cited by 242 · see citing works
Development of cortical connections as measured by EEG coherence and phase delays
Thatcher, R. W., North, D. M., & Biver, C. J. (2007) · Human Brain Mapping · doi:10.1002/hbm.20474 · Cited by 202 · see citing works
Dwelling quietly in the rich club: brain network determinants of slow cortical fluctuations
Gollo, L. L., Zalesky, A., Hutchison, R. M., van den Heuvel, M. P., & Breakspear, M. J. (2015) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2014.0165 · Cited by 184 · see citing works
Nonlinear brain dynamics as macroscopic manifestation of underlying many-body field dynamics
Freeman, W. J., III, & Vitiello, G. (2006) · eScholarship (California Digital Library) · Cited by 184 · see citing works
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Freeman, W. (2004) · Clinical Neurophysiology · doi:10.1016/j.clinph.2004.02.028 · Cited by 180 · see citing works
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Freeman, W. J. (2006) · Clinical Neurophysiology · doi:10.1016/j.clinph.2005.10.025 · Cited by 177 · see citing works
Self-citationKozma, R., Puljic, M., Balister, P., Bollobás, B., & Freeman, W. (2005) · Biological Cybernetics · doi:10.1007/s00422-005-0565-z · Cited by 164 · see citing works
Self-citationCoherence, Phase Differences, Phase Shift, and Phase Lock in EEG/ERP Analyses
Thatcher, R. W. (2012) · Developmental Neuropsychology · doi:10.1080/87565641.2011.619241 · Cited by 159 · see citing works
Validity and Reliability of Quantitative Electroencephalography
Thatcher, R. W. (2010) · Journal of Neurotherapy · doi:10.1080/10874201003773500 · Cited by 153 · see citing works
Ahmad, J., Ellis, C. L., Leech, R., Voytek, B., Garcés, P., Jones, E. J. H., Buitelaar, J. K., Loth, E., dos Santos, F. P., Amil, A. F., et al. (2022) · Translational Psychiatry · doi:10.1038/s41398-022-02218-z · Cited by 164 · see citing works
THE WAVE PACKET: AN ACTION POTENTIAL FOR THE 21st CENTURY
Freeman, W. J. (2003) · Journal of Integrative Neuroscience · doi:10.1142/s0219635203000214 · Cited by 132 · see citing works
Self-citationJacobs, J., & Kahana, M. J. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.2187-09.2009 · Cited by 127 · see citing works
Origin, structure, and role of background EEG activity. Part 3. Neural frame classification
Freeman, W. J. (2005) · Clinical Neurophysiology · doi:10.1016/j.clinph.2004.12.023 · Cited by 124 · see citing works
Self-citationNikulin, V. V., & Brismar, T. (2004) · Clinical Neurophysiology · doi:10.1016/j.clinph.2004.03.019 · Cited by 122 · see citing works
Grouiller, F., Vercueil, L., Krainik, A., Segebarth, C. M., Kahane, P., & Olivier David, A. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.07.025 · Cited by 119 · see citing works
"Dynamic" Connectivity in Neural Systems
Breakspear, M. (2004) · Neuroinformatics · doi:10.1385/ni:2:2:205 · Cited by 113 · see citing works
Presacco, A., Forrester, L. W., & Contreras-Vidal, J. L. (2012) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2012.2188304 · Cited by 114 · see citing works
Fine spatiotemporal structure of phase in human intracranial EEG
Freeman, W. J., Holmes, M., West, G. A., & Vanhatalo, S. (2006) · Clinical Neurophysiology · doi:10.1016/j.clinph.2006.03.012 · Cited by 107 · see citing works
Self-citationMetastability, instability, and state transition in neocortex
Freeman, W., & Holmes, M. (2005) · Neural Networks · doi:10.1016/j.neunet.2005.06.014 · Cited by 102 · see citing works
Self-citationEvidence from human scalp electroencephalograms of global chaotic itinerancy
Freeman, W. (2003) · Chaos An Interdisciplinary Journal of Nonlinear Science · doi:10.1063/1.1596553 · Cited by 96 · see citing works
Self-citationA field-theoretic approach to understanding scale-free neocortical dynamics
Freeman, W. (2005) · Biological Cybernetics · doi:10.1007/s00422-005-0563-1 · Cited by 91 · see citing works
Self-citationCombining fMRI with EEG and MEG in order to relate patterns of brain activity to cognition
FREEMAN, W. (2009) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2008.12.019 · Cited by 88 · see citing works
Self-citationFreeman, W. J. (2003) · International Journal of Bifurcation and Chaos · doi:10.1142/s0218127403008144 · Cited by 91 · see citing works
Self-citationDissipation and spontaneous symmetry breaking in brain dynamics
Freeman, W. J., & Vitiello, G. (2008) · Journal of Physics A Mathematical and Theoretical · doi:10.1088/1751-8113/41/30/304042 · Cited by 91 · see citing works
Self-citationIndirect biological measures of consciousness from field studies of brains as dynamical systems
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Self-citationCerebral Energy Metabolism and the Brain’s Functional Network Architecture: An Integrative Review
Lord, L.-D., Expert, P., Huckins, J. F., & Turkheimer, F. (2013) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/jcbfm.2013.94 · Cited by 86 · see citing works
Hebert, R., Lehmann, D., Tan, G., Travis, F., & Arenander, A. (2005) · Signal Processing · doi:10.1016/j.sigpro.2005.07.009 · Cited by 82 · see citing works
Chaotic resonance in Hodgkin–Huxley neuron
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The fractal brain: scale-invariance in structure and dynamics
Grosu, G. F., Hopp, A. V., Moca, V. V., Bârzan, H., Ciuparu, A., Ercsey-Ravasz, M., Winkel, M., Linde, H., & Muresan, R. C. (2022) · Cerebral Cortex · doi:10.1093/cercor/bhac363 · Cited by 83 · see citing works
Foundational perspectives on causality in large-scale brain networks
Mannino, M., & Bressler, S. L. (2015) · Physics of Life Reviews · doi:10.1016/j.plrev.2015.09.002 · Cited by 78 · see citing works
Freeman, W. J., & ROGERS, L. J. (2003) · International Journal of Bifurcation and Chaos · doi:10.1142/s0218127403008296 · Cited by 78 · see citing works
Self-citationDimitriadis, S. I., Laskaris, N., Simos, P. G., Micheloyannis, S., Fletcher, J. M., Rezaie, R., & Papanicolaou, A. C. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.06.036 · Cited by 76 · see citing works
Intelligence and EEG phase reset: A two compartmental model of phase shift and lock
Thatcher, R. W., North, D. M., & Biver, C. J. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.06.009 · Cited by 78 · see citing works
Self‐organized criticality and the development of EEG phase reset
Thatcher, R. W., North, D. M., & Biver, C. J. (2008) · Human Brain Mapping · doi:10.1002/hbm.20524 · Cited by 74 · see citing works
EEG synchrony during a perceptual-cognitive task: Widespread phase synchrony at all frequencies
Pockett, S., Bold, G. E. J., & Freeman, W. J. (2009) · Clinical Neurophysiology · doi:10.1016/j.clinph.2008.12.044 · Cited by 75 · see citing works
Self-citationA neurobiological theory of meaning in perception
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Self-citationA cinematographic hypothesis of cortical dynamics in perception
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LORETA EEG phase reset of the default mode network
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Graph theoretical analysis of EEG functional connectivity during music perception
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Dynamics of spontaneous transitions between global brain states
Ito, J., Nikolaev, A. R., & van Leeuwen, C. (2007) · Human Brain Mapping · doi:10.1002/hbm.20316 · Cited by 68 · see citing works
Autism and EEG Phase Reset: Deficient GABA Mediated Inhibition in Thalamo-Cortical Circuits
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A method to study global spatial patterns related to sensory perception in scalp EEG
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Self-citationThe principle of coherence in multi-level brain information processing
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Neurodynamics of cognition and consciousness
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Self-citationFreeman, W. J. (2009) · Cognitive Neurodynamics · doi:10.1007/s11571-009-9075-3 · Cited by 59 · see citing works
Self-citationDimitriadis, S. I., Laskaris, N., & Tzelepi, A. (2013) · Brain Topography · doi:10.1007/s10548-013-0276-z · Cited by 57 · see citing works
NDN, VOLUME TRANSMISSION, AND SELF-ORGANIZATION IN BRAIN DYNAMICS
Freeman, W. J. (2005) · Journal of Integrative Neuroscience · doi:10.1142/s0219635205000963 · Cited by 55 · see citing works
Self-citationThe KIV model of intentional dynamics and decision making
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Lehmann, D. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.05.033 · Cited by 18 · see citing works
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Greenberg, A., & Dickson, C. T. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.07.034 · Cited by 17 · see citing works
- Authors
- Freeman, W. J., Burke, B. C., & Holmes, M. D.
- Affiliations
- University of California, Berkeley (US)
- Harborview Medical Center (US)
- Corresponding author
- Freeman, Walter J.
- ORCID
- Holmes, Mark D.
- Venue
- Human Brain Mapping
- Publisher
- Wiley
- Published
- 2003-06-26
- Volume
- 19
- Issue
- 4
- Pages
- 248-272
- ISSN
- 1065-9471 (ISSN-L)
- 1097-0193
- PMC
- PMC6871824
- OpenAlex
- W2161350892
- Cited by
- 214
- References
- 56
- Citations by year
- 2026: 7 · 2025: 4 · 2024: 4 · 2023: 6 · 2022: 8 · 2021: 6 · 2020: 5 · 2019: 3 · 2018: 4 · 2017: 6 · 2016: 6 · 2015: 10 · 2014: 10 · 2013: 15 · 2012: 11
- FWCI
- 8.16
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Human Brain Mapping (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- eScholarship (California Digital Library) (submittedVersion, cc-by)
- Funders
- National Science Foundation (0130352)
- National Aeronautics and Space Administration (NCC21244)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Keywords
- beta-gamma oscillations, Hilbert transform, instantaneous frequency, state transitions, electromyography
- MeSH terms
- Alpha Rhythm, Cerebral Cortex, Cognition, Cortical Synchronization, Electroencephalography, Electromyography, Female, Humans, Male, Muscles, Scalp, Theta Rhythm
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