Neuronal synchrony during anesthesia: a thalamocortical model.

There is growing evidence in favor of the temporal-coding hypothesis that temporal correlation of neuronal discharges may serve to bind distributed neuronal activity into unique representations and, in particular, that theta (3.5-7.5 Hz) and delta (0.5 < 3.5 Hz) oscillations facilitate information coding. The theta- and delta-rhythms are shown to be involved in various sleep stages, and during anesthesia, they undergo changes with the depth of anesthesia. We introduce a thalamocortical model of interacting neuronal ensembles to describe phase relationships between theta- and delta-oscillations, especially during deep and light anesthesia. Asymmetric and long-range interactions among the thalamocortical neuronal oscillators are taken into account. The model results are compared with experimental observations. The delta- and theta-activities are found to be separately generated and are governed by the thalamus and cortex, respectively. Changes in the degree of intraensemble and interensemble synchrony imply that the neuronal ensembles inhibit information coding during deep anesthesia and facilitate it during light anesthesia.

[1]  P. Nunez The brain wave equation: a model for the EEG , 1974 .

[2]  Aneta Stefanovska,et al.  Routes to synchrony between asymmetrically interacting oscillator ensembles. , 2008, Physical review. E, Statistical, nonlinear, and soft matter physics.

[3]  W. Freeman Models of the dynamics of neural populations. , 1978, Electroencephalography and clinical neurophysiology. Supplement.

[4]  C. L. Chapman,et al.  Toward an integrated continuum model of cerebral dynamics: the cerebral rhythms, synchronous oscillation and cortical stability. , 2001, Bio Systems.

[5]  M. Steriade Grouping of brain rhythms in corticothalamic systems , 2006, Neuroscience.

[6]  Ben H. Jansen,et al.  Electroencephalogram and visual evoked potential generation in a mathematical model of coupled cortical columns , 1995, Biological Cybernetics.

[7]  Wolf Singer,et al.  Neuronal Synchrony: A Versatile Code for the Definition of Relations? , 1999, Neuron.

[8]  Yoshiki Kuramoto,et al.  Chemical Oscillations, Waves, and Turbulence , 1984, Springer Series in Synergetics.

[9]  A. Winfree The geometry of biological time , 1991 .

[10]  A. Hodgkin Ionic Currents Underlying Activity in the Giant Axon of the Squid , 1949 .

[11]  Kenji Nakanishi,et al.  Diffusion-induced inhomogeneity in globally coupled oscillators: swing-by mechanism. , 2006, Physical review letters.

[12]  T. Sejnowski,et al.  Interactions between membrane conductances underlying thalamocortical slow-wave oscillations. , 2003, Physiological reviews.

[13]  Jürgen Kurths,et al.  Synchronization - A Universal Concept in Nonlinear Sciences , 2001, Cambridge Nonlinear Science Series.

[14]  F. Amzica In vivo electrophysiological evidences for cortical neuron–glia interactions during slow (<1 Hz) and paroxysmal sleep oscillations , 2002, Journal of Physiology-Paris.

[15]  J. Cowan,et al.  Excitatory and inhibitory interactions in localized populations of model neurons. , 1972, Biophysical journal.

[16]  G Mann,et al.  ON THE THALAMUS * , 1905, British medical journal.

[17]  M. Paluš,et al.  Interactions between cardiac, respiratory and EEG‐δ oscillations in rats during anaesthesia , 2007 .

[18]  M Steriade,et al.  Electrophysiological correlates of sleep delta waves. , 1998, Electroencephalography and clinical neurophysiology.

[19]  Christopher G. Wilson,et al.  Periodicity, mixed-mode oscillations, and quasiperiodicity in a rhythm-generating neural network. , 2002, Biophysical journal.

[20]  Karl J. Friston,et al.  A neural mass model for MEG/EEG: coupling and neuronal dynamics , 2003, NeuroImage.

[21]  D. Contreras,et al.  Synchronization of low-frequency rhythms in corticothalamic networks , 1996, Neuroscience.

[22]  R. Reid,et al.  Precisely correlated firing in cells of the lateral geniculate nucleus , 1996, Nature.

[23]  Roger M. Harris,et al.  Axon collaterals in the thalamic reticular nucleus from thalamocortical neurons of the rat ventrobasal thalamus , 1987, The Journal of comparative neurology.

[24]  R. Whitehouse,et al.  Neurophysical Modeling of Brain Dynamics , 2003, Neuropsychopharmacology.

[25]  D. Prince,et al.  Heterogeneous axonal arborizations of rat thalamic reticular neurons in the ventrobasal nucleus , 1996, The Journal of comparative neurology.

[26]  P A Robinson,et al.  Simulated Electrocortical Activity at Microscopic, Mesoscopic, and Global Scales , 2003, Neuropsychopharmacology.

[27]  Hiroshi Kori,et al.  Characterization of synchronization in interacting groups of oscillators: application to seizures. , 2008, Biophysical journal.

[28]  F. H. Lopes da Silva,et al.  Models of neuronal populations: the basic mechanisms of rhythmicity. , 1976, Progress in brain research.

[29]  A Stefanovska,et al.  Reversible transitions between synchronization states of the cardiorespiratory system. , 2000, Physical review letters.

[30]  Juan C. Jiménez,et al.  Nonlinear EEG analysis based on a neural mass model , 1999, Biological Cybernetics.

[31]  Peter A. Robinson,et al.  Unified neurophysical model of EEG spectra and evoked potentials , 2002, Biological Cybernetics.

[32]  D. McCormick,et al.  What Stops Synchronized Thalamocortical Oscillations? , 1996, Neuron.

[33]  Yoshiki Kuramoto,et al.  Mutual Entrainment between Populations of Coupled Oscillators , 1991 .

[34]  S. Strogatz From Kuramoto to Crawford: exploring the onset of synchronization in populations of coupled oscillators , 2000 .

[35]  Milan Palus,et al.  Interactions between cardiac, respiratory and EEG-delta oscillations in rats during anaesthesia. , 2007, The Journal of physiology.

[36]  J. H. Fallon,et al.  Toward a Unified Theory of Narcosis: Brain Imaging Evidence for a Thalamocortical Switch as the Neurophysiologic Basis of Anesthetic-Induced Unconsciousness , 2000, Consciousness and Cognition.

[37]  J. Kurths,et al.  Synchronization of two interacting populations of oscillators. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.

[38]  H. Haken,et al.  Field Theory of Electromagnetic Brain Activity. , 1996, Physical review letters.

[39]  Freeman Wj Models of the dynamics of neural populations. , 1978 .