Literature DB >> 19669469

Desynchronization in networks of globally coupled neurons with dendritic dynamics.

Milan Majtanik1, Kevin Dolan, Peter A Tass.   

Abstract

Effective desynchronization can be exploited as a tool for probing the functional significance of synchronized neural activity underlying perceptual and cognitive processes or as a mild treatment for neurological disorders like Parkinson's disease. In this article we show that pulse-based desynchronization techniques, originally developed for networks of globally coupled oscillators (Kuramoto model), can be adapted to networks of coupled neurons with dendritic dynamics. Compared to the Kuramoto model, the dendritic dynamics significantly alters the response of the neuron to the stimulation. Under medium stimulation amplitude a bistability of the response of a single neuron is observed. When stimulated at some initial phases, the neuron displays only modulations of its firing, whereas at other initial phases it stops oscillating entirely. Significant alterations in the duration of stimulation-induced transients are also observed. These transients endure after the end of the stimulation and cause maximal desynchronization to occur not during the stimulation, but with some delay after the stimulation has been turned off. To account for this delayed desynchronization effect, we have designed a new calibration procedure for finding the stimulation parameters that result in optimal desynchronization. We have also developed a new desynchronization technique by low frequency entrainment. The stimulation techniques originally developed for the Kuramoto model, when using the new calibration procedure, can also be applied to networks with dendritic dynamics. However, the mechanism by which desynchronization is achieved is substantially different than for the network of Kuramoto oscillators. In particular, the addition of dendritic dynamics significantly changes the timing of the stimulation required to obtain desynchronization. We propose desynchronization stimulation for experimental analysis of synchronized neural processes and for the therapy of movement disorders.

Entities:  

Year:  2006        PMID: 19669469      PMCID: PMC2651528          DOI: 10.1007/s10867-006-9018-8

Source DB:  PubMed          Journal:  J Biol Phys        ISSN: 0092-0606            Impact factor:   1.365


  42 in total

1.  Theta oscillations index human hippocampal activation during a working memory task.

Authors:  C D Tesche; J Karhu
Journal:  Proc Natl Acad Sci U S A       Date:  2000-01-18       Impact factor: 11.205

2.  The basic mechanism for the electrical stimulation of the nervous system.

Authors:  F Rattay
Journal:  Neuroscience       Date:  1999-03       Impact factor: 3.590

3.  Chapman-enskog method and synchronization of globally coupled oscillators

Authors: 
Journal:  Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics       Date:  2000-10

4.  Phase synchronization and noise-induced resonance in systems of coupled oscillators

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Journal:  Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics       Date:  2000-11

5.  Desynchronizing double-pulse phase resetting and application to deep brain stimulation.

Authors:  P A Tass
Journal:  Biol Cybern       Date:  2001-11       Impact factor: 2.086

6.  Synchronization between prefrontal and posterior association cortex during human working memory.

Authors:  J Sarnthein; H Petsche; P Rappelsberger; G L Shaw; A von Stein
Journal:  Proc Natl Acad Sci U S A       Date:  1998-06-09       Impact factor: 11.205

7.  Gating of human theta oscillations by a working memory task.

Authors:  S Raghavachari; M J Kahana; D S Rizzuto; J B Caplan; M P Kirschen; B Bourgeois; J R Madsen; J E Lisman
Journal:  J Neurosci       Date:  2001-05-01       Impact factor: 6.167

8.  Null space in the Hodgkin-Huxley Equations. A critical test.

Authors:  E N Best
Journal:  Biophys J       Date:  1979-07       Impact factor: 4.033

9.  Hippocampal electrical activity and voluntary movement in the rat.

Authors:  C H Vanderwolf
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1969-04

Review 10.  Visual feature integration and the temporal correlation hypothesis.

Authors:  W Singer; C M Gray
Journal:  Annu Rev Neurosci       Date:  1995       Impact factor: 12.449

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  1 in total

1.  Subthalamic nucleus discharge patterns during movement in the normal monkey and Parkinsonian patient.

Authors:  John T Gale; Donald C Shields; Felipe A Jain; Ramin Amirnovin; Emad N Eskandar
Journal:  Brain Res       Date:  2009-01-07       Impact factor: 3.252

  1 in total

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