Skip to main content
×
Home
    • Aa
    • Aa
  • Get access
    Check if you have access via personal or institutional login
  • Cited by 178
  • Cited by
    This article has been cited by the following publications. This list is generated based on data provided by CrossRef.

    Babiloni, Claudio Marzano, Nicola Soricelli, Andrea Cordone, Susanna Millán-Calenti, José Carlos Del Percio, Claudio and Buján, Ana 2016. Cortical Neural Synchronization Underlies Primary Visual Consciousness of Qualia: Evidence from Event-Related Potentials. Frontiers in Human Neuroscience, Vol. 10,


    Hamedi, Mahyar Salleh, Sh-Hussain and Noor, Alias Mohd 2016. Electroencephalographic Motor Imagery Brain Connectivity Analysis for BCI: A Review. Neural Computation, Vol. 28, Issue. 6, p. 999.


    Romei, Vincenzo Bauer, Markus Brooks, Joseph L. Economides, Marcos Penny, Will Thut, Gregor Driver, Jon and Bestmann, Sven 2016. Causal evidence that intrinsic beta-frequency is relevant for enhanced signal propagation in the motor system as shown through rhythmic TMS. NeuroImage, Vol. 126, p. 120.


    Sosnik, Ronen Tadipatri, Vijay Aditya Tewfik, Ahmed H. and Pellizzer, Giuseppe 2016. Block design enhances classification of 3D reach targets from electroencephalographic signals. Neuroscience, Vol. 329, p. 201.


    Ward, Lawrence M and Greenwood, Priscilla E 2016. Stochastic facilitation in the brain?. Journal of Statistical Mechanics: Theory and Experiment, Vol. 2016, Issue. 5, p. 054033.


    Bocharov, A. V. Bogomaz, Q. A. Savostyanov, A. N. Knyazev, G. G. Budakova, A. V. Zaleshin, M. S. and Astakhova, T. N. 2015. 2015 International Conference on Biomedical Engineering and Computational Technologies (SIBIRCON). p. 104.

    Fingelkurts, Andrew A. Fingelkurts, Alexander A. and Kallio-Tamminen, Tarja 2015. EEG-guided meditation: A personalized approach. Journal of Physiology-Paris,


    Forbes, Chad E. Leitner, Jordan B. Duran-Jordan, Kelly Magerman, Adam B. Schmader, Toni and Allen, John J. B. 2015. Spontaneous default mode network phase-locking moderates performance perceptions under stereotype threat. Social Cognitive and Affective Neuroscience, Vol. 10, Issue. 7, p. 994.


    Griffiths, John D. 2015. Causal influence in neural systems: Reconciling mechanistic-reductionist and statistical perspectives. Physics of Life Reviews, Vol. 15, p. 130.


    Himmelstoss, Nicole A. Brötzner, Christina P. Zauner, Andrea Kerschbaum, Hubert H. Gruber, Walter Lechinger, Julia and Klimesch, Wolfgang 2015. Prestimulus amplitudes modulate P1 latencies and evoked traveling alpha waves. Frontiers in Human Neuroscience, Vol. 9,


    Lan Ma, Minett, James W. Blu, Thierry and Wang, William S.-Y 2015. 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). p. 2848.

    Miskovic, Vladimir and Keil, Andreas 2015. Reliability of event-related EEG functional connectivity during visual entrainment: Magnitude squared coherence and phase synchrony estimates. Psychophysiology, Vol. 52, Issue. 1, p. 81.


    Nichols, Eric J. and Hutt, Axel 2015. Neural field simulator: two-dimensional spatio-temporal dynamics involving finite transmission speed. Frontiers in Neuroinformatics, Vol. 9,


    Nunez, Paul L. Srinivasan, Ramesh and Fields, R. Douglas 2015. EEG functional connectivity, axon delays and white matter disease. Clinical Neurophysiology, Vol. 126, Issue. 1, p. 110.


    Cabral, Joana Luckhoo, Henry Woolrich, Mark Joensson, Morten Mohseni, Hamid Baker, Adam Kringelbach, Morten L. and Deco, Gustavo 2014. Exploring mechanisms of spontaneous functional connectivity in MEG: How delayed network interactions lead to structured amplitude envelopes of band-pass filtered oscillations. NeuroImage, Vol. 90, p. 423.


    Müller, Markus Franziskus Rummel, Christian Goodfellow, Marc and Schindler, Kaspar 2014. Standing Waves as an Explanation for Generic Stationary Correlation Patterns in Noninvasive EEG of Focal Onset Seizures. Brain Connectivity, Vol. 4, Issue. 2, p. 131.


    Nunez, Paul L. and Srinivasan, Ramesh 2014. Neocortical dynamics due to axon propagation delays in cortico-cortical fibers: EEG traveling and standing waves with implications for top-down influences on local networks and white matter disease. Brain Research, Vol. 1542, p. 138.


    Paris, Alan Vosoughi, Azadeh and Atia, George 2014. 2014 48th Asilomar Conference on Signals, Systems and Computers. p. 204.

    Ros, Tomas J. Baars, Bernard Lanius, Ruth A. and Vuilleumier, Patrik 2014. Tuning pathological brain oscillations with neurofeedback: a systems neuroscience framework. Frontiers in Human Neuroscience, Vol. 8,


    Wang, Ruofan Wang, Jiang Yu, Haitao Wei, Xile Yang, Chen and Deng, Bin 2014. Decreased coherence and functional connectivity of electroencephalograph in Alzheimer's disease. Chaos: An Interdisciplinary Journal of Nonlinear Science, Vol. 24, Issue. 3, p. 033136.


    ×

Toward a quantitative description of large-scale neocortical dynamic function and EEG

  • Paul L. Nunez (a1)
  • DOI: http://dx.doi.org/10.1017/S0140525X00003253
  • Published online: 01 April 2000
Abstract

A general conceptual framework for large-scale neocortical dynamics based on data from many laboratories is applied to a variety of experimental designs, spatial scales, and brain states. Partly distinct, but interacting local processes (e.g., neural networks) arise from functional segregation. Global processes arise from functional integration and can facilitate (top down) synchronous activity in remote cell groups that function simultaneously at several different spatial scales. Simultaneous local processes may help drive (bottom up) macroscopic global dynamics observed with electroencephalography (EEG) or magnetoencephalography (MEG).

A local/global dynamic theory that is consistent with EEG data and the proposed conceptual framework is outlined. This theory is neutral about properties of neural networks embedded in macroscopic fields, but its global component makes several qualitative and semiquantitative predictions about EEG measures of traveling and standing wave phenomena. A more general “metatheory” suggests what large-scale quantitative theories of neocortical dynamics may be like when more accurate treatment of local and nonlinear effects is achieved.

The theory describes the dynamics of excitatory and inhibitory synaptic action fields. EEG and MEG provide large-scale estimates of modulation of these synaptic fields around background levels. Brain states are determined by neuromodulatory control parameters. Purely local states are dominated by local feedback gains and rise and decay times of postsynaptic potentials. Dominant local frequencies vary with brain region. Other states are purely global, with moderate to high coherence over large distances. Multiple global mode frequencies arise from a combination of delays in corticocortical axons and neocortical boundary conditions. Global frequencies are identical in all cortical regions, but most states involve dynamic interactions between local networks and the global system. EEG frequencies may involve a “matching” of local resonant frequencies with one or more of the many, closely spaced global frequencies.

Copyright
Footnotes
Hide All
The relationship between the synaptic action fields proposed in the target article and cell assemblies is clarified with Figure R1 (p. 416) of the Response. (This figure was not available to Commentators.
Footnotes
Recommend this journal

Email your librarian or administrator to recommend adding this journal to your organisation's collection.

Behavioral and Brain Sciences
  • ISSN: 0140-525X
  • EISSN: 1469-1825
  • URL: /core/journals/behavioral-and-brain-sciences
Please enter your name
Please enter a valid email address
Who would you like to send this to? *
×

Keywords: