Literature DB >> 12905037

A model of desynchronizing deep brain stimulation with a demand-controlled coordinated reset of neural subpopulations.

Peter A Tass.   

Abstract

The coordinated reset of neural subpopulations is introduced as an effectively desynchronizing stimulation technique. For this, short sequences of high-frequency pulse trains are administered at different sites in a coordinated way. Desynchronization is easily maintained by performing a coordinated reset with demand-controlled timing or by periodically administering resetting high-frequency pulse trains of demand-controlled length. Unlike previously developed methods, this novel approach is robust against variations of model parameters and does not require time-consuming calibration. The novel technique is suggested to be used for demand-controlled deep brain stimulation in patients suffering from Parkinson's disease or essential tremor. It might even be applicable to diseases with intermittently emerging synchronized neural oscillations like epilepsy.

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Year:  2003        PMID: 12905037     DOI: 10.1007/s00422-003-0425-7

Source DB:  PubMed          Journal:  Biol Cybern        ISSN: 0340-1200            Impact factor:   2.086


  100 in total

1.  Annihilation of single cell neural oscillations by feedforward and feedback control.

Authors:  Flavio Fröhlich; Saso Jezernik
Journal:  J Comput Neurosci       Date:  2004 Sep-Oct       Impact factor: 1.621

2.  Multi-frequency activation of neuronal networks by coordinated reset stimulation.

Authors:  Borys Lysyansky; Oleksandr V Popovych; Peter A Tass
Journal:  Interface Focus       Date:  2010-12-01       Impact factor: 3.906

3.  Deep brain stimulation alleviates parkinsonian bradykinesia by regularizing pallidal activity.

Authors:  Alan D Dorval; Alexis M Kuncel; Merrill J Birdno; Dennis A Turner; Warren M Grill
Journal:  J Neurophysiol       Date:  2010-05-26       Impact factor: 2.714

4.  Numerical optimization of coordinated reset stimulation for desynchronizing neuronal network dynamics.

Authors:  Shigeru Kubota; Jonathan E Rubin
Journal:  J Comput Neurosci       Date:  2018-06-07       Impact factor: 1.621

5.  Desynchronization in networks of globally coupled neurons with dendritic dynamics.

Authors:  Milan Majtanik; Kevin Dolan; Peter A Tass
Journal:  J Biol Phys       Date:  2006-11-10       Impact factor: 1.365

6.  Impact of nonlinear delayed feedback on synchronized oscillators.

Authors:  Oleksandr V Popovych; Christian Hauptmann; Peter A Tass
Journal:  J Biol Phys       Date:  2008-05-14       Impact factor: 1.365

7.  Dynamics of the subthalamo-pallidal complex in Parkinson's disease during deep brain stimulation.

Authors:  J Modolo; J Henry; A Beuter
Journal:  J Biol Phys       Date:  2008-08-01       Impact factor: 1.365

8.  Dynamic associations in the cerebellar-motoneuron network during motor learning.

Authors:  Raudel Sánchez-Campusano; Agnès Gruart; José M Delgado-García
Journal:  J Neurosci       Date:  2009-08-26       Impact factor: 6.167

Review 9.  Systems approaches to optimizing deep brain stimulation therapies in Parkinson's disease.

Authors:  Sabato Santaniello; John T Gale; Sridevi V Sarma
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2018-03-20

10.  Origins and suppression of oscillations in a computational model of Parkinson's disease.

Authors:  Abbey B Holt; Theoden I Netoff
Journal:  J Comput Neurosci       Date:  2014-08-07       Impact factor: 1.621

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