Literature DB >> 24112884

Computational modeling of deep brain stimulation.

Cameron C McIntyre1, Thomas J Foutz.   

Abstract

Deep brain stimulation (DBS) is an effective clinical treatment for several medically refractory neurological disorders. However, even after decades of clinical success, explicit understanding of the response of neurons to applied electric fields remains limited, and scientific definition of the therapeutic mechanisms of DBS remains elusive. In addition, it is presently unclear which electrode designs and stimulation paradigms are optimal for maximal therapeutic benefit and minimal side-effects with DBS. Detailed computer modeling of DBS has emerged recently as a powerful technique to enhance our understanding of the effects of DBS and to create a virtual testing ground for new stimulation strategies. This chapter summarizes the fundamentals of neurostimulation modeling, presents some scientific contributions of computer models to the field of DBS, and demonstrates the application of DBS modeling tools to augment the clinical utility of DBS.
© 2013 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Parkinson’s disease; depression; dystonia; epilepsy; essential tremor; neuromodulation; neurostimulation; obsessive–compulsive disorder

Mesh:

Year:  2013        PMID: 24112884      PMCID: PMC5570759          DOI: 10.1016/B978-0-444-53497-2.00005-X

Source DB:  PubMed          Journal:  Handb Clin Neurol        ISSN: 0072-9752


  45 in total

1.  Spatial steering of deep brain stimulation volumes using a novel lead design.

Authors:  H C F Martens; E Toader; M M J Decré; D J Anderson; R Vetter; D R Kipke; Kenneth B Baker; Matthew D Johnson; Jerrold L Vitek
Journal:  Clin Neurophysiol       Date:  2010-08-21       Impact factor: 3.708

2.  Patient-specific analysis of the volume of tissue activated during deep brain stimulation.

Authors:  Christopher R Butson; Scott E Cooper; Jaimie M Henderson; Cameron C McIntyre
Journal:  Neuroimage       Date:  2006-11-17       Impact factor: 6.556

3.  Basic algorithms for the programming of deep brain stimulation in Parkinson's disease.

Authors:  Jens Volkmann; Elena Moro; Rajesh Pahwa
Journal:  Mov Disord       Date:  2006-06       Impact factor: 10.338

4.  Bio-heat transfer model of deep brain stimulation-induced temperature changes.

Authors:  Maged M Elwassif; Qingjun Kong; Maribel Vazquez; Marom Bikson
Journal:  J Neural Eng       Date:  2006-11-06       Impact factor: 5.379

5.  Stimulation of the caudal zona incerta is superior to stimulation of the subthalamic nucleus in improving contralateral parkinsonism.

Authors:  Puneet Plaha; Y Ben-Shlomo; Nikunj K Patel; Steven S Gill
Journal:  Brain       Date:  2006-05-23       Impact factor: 13.501

6.  Direct and indirect activation of nerve cells by electrical pulses applied extracellularly.

Authors:  B Gustafsson; E Jankowska
Journal:  J Physiol       Date:  1976-06       Impact factor: 5.182

7.  Patient-specific models of deep brain stimulation: influence of field model complexity on neural activation predictions.

Authors:  Ashutosh Chaturvedi; Christopher R Butson; Scott F Lempka; Scott E Cooper; Cameron C McIntyre
Journal:  Brain Stimul       Date:  2010-04       Impact factor: 8.955

8.  Deep brain stimulation of the ventral internal capsule/ventral striatum for obsessive-compulsive disorder: worldwide experience.

Authors:  B D Greenberg; L A Gabriels; D A Malone; A R Rezai; G M Friehs; M S Okun; N A Shapira; K D Foote; P R Cosyns; C S Kubu; P F Malloy; S P Salloway; J E Giftakis; M T Rise; A G Machado; K B Baker; P H Stypulkowski; W K Goodman; S A Rasmussen; B J Nuttin
Journal:  Mol Psychiatry       Date:  2008-05-20       Impact factor: 15.992

9.  Deep brain stimulation of the ventral capsule/ventral striatum for treatment-resistant depression.

Authors:  Donald A Malone; Darin D Dougherty; Ali R Rezai; Linda L Carpenter; Gerhard M Friehs; Emad N Eskandar; Scott L Rauch; Steven A Rasmussen; Andre G Machado; Cynthia S Kubu; Audrey R Tyrka; Lawrence H Price; Paul H Stypulkowski; Jonathon E Giftakis; Mark T Rise; Paul F Malloy; Stephen P Salloway; Benjamin D Greenberg
Journal:  Biol Psychiatry       Date:  2008-10-08       Impact factor: 13.382

10.  Current-controlled deep brain stimulation reduces in vivo voltage fluctuations observed during voltage-controlled stimulation.

Authors:  Scott F Lempka; Matthew D Johnson; Svjetlana Miocinovic; Jerrold L Vitek; Cameron C McIntyre
Journal:  Clin Neurophysiol       Date:  2010-05-20       Impact factor: 3.708

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  15 in total

1.  Postmortem volumetric analysis of the nucleus accumbens in male heroin addicts: implications for deep brain stimulation.

Authors:  Ulf J Müller; Kurt Truebner; Kolja Schiltz; Jens Kuhn; Christian Mawrin; Henrik Dobrowolny; Hans-Gert Bernstein; Bernhard Bogerts; Johann Steiner
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2015-07-19       Impact factor: 5.270

Review 2.  Tutorial: a computational framework for the design and optimization of peripheral neural interfaces.

Authors:  Simone Romeni; Giacomo Valle; Alberto Mazzoni; Silvestro Micera
Journal:  Nat Protoc       Date:  2020-09-28       Impact factor: 13.491

3.  Development and testing of implanted carbon electrodes for electromagnetic field mapping during neuromodulation.

Authors:  Neeta Ashok Kumar; Munish Chauhan; Sri Kirthi Kandala; Sung-Min Sohn; Rosalind J Sadleir
Journal:  Magn Reson Med       Date:  2020-04-16       Impact factor: 4.668

4.  Consistent linear and non-linear responses to invasive electrical brain stimulation across individuals and primate species with implanted electrodes.

Authors:  Ishita Basu; Madeline M Robertson; Britni Crocker; Noam Peled; Kara Farnes; Deborah I Vallejo-Lopez; Helen Deng; Matthew Thombs; Clarissa Martinez-Rubio; Jennifer J Cheng; Eric McDonald; Darin D Dougherty; Emad N Eskandar; Alik S Widge; Angelique C Paulk; Sydney S Cash
Journal:  Brain Stimul       Date:  2019-03-11       Impact factor: 8.955

5.  Local and distant cortical responses to single pulse intracranial stimulation in the human brain are differentially modulated by specific stimulation parameters.

Authors:  Angelique C Paulk; Rina Zelmann; Britni Crocker; Alik S Widge; Darin D Dougherty; Emad N Eskandar; Daniel S Weisholtz; R Mark Richardson; G Rees Cosgrove; Ziv M Williams; Sydney S Cash
Journal:  Brain Stimul       Date:  2022-03-02       Impact factor: 8.955

6.  High resolution transcranial acoustoelectric imaging of current densities from a directional deep brain stimulator.

Authors:  Chet Preston; Alexander M Alvarez; Andres Barragan; Jennifer Becker; Willard S Kasoff; Russell S Witte
Journal:  J Neural Eng       Date:  2020-02-27       Impact factor: 5.379

7.  Image-based biophysical modeling predicts cortical potentials evoked with subthalamic deep brain stimulation.

Authors:  Bryan Howell; Faical Isbaine; Jon T Willie; Enrico Opri; Robert E Gross; Coralie De Hemptinne; Philip A Starr; Cameron C McIntyre; Svjetlana Miocinovic
Journal:  Brain Stimul       Date:  2021-03-20       Impact factor: 8.955

8.  Impact of brain shift on neural pathways in deep brain stimulation: a preliminary analysis via multi-physics finite element models.

Authors:  Ma Luo; Saramati Narasimhan; Paul S Larson; Alastair J Martin; Peter E Konrad; Michael I Miga
Journal:  J Neural Eng       Date:  2021-04-06       Impact factor: 5.043

9.  Automatic target validation based on neuroscientific literature mining for tractography.

Authors:  Xavier Vasques; Renaud Richardet; Sean L Hill; David Slater; Jean-Cedric Chappelier; Etienne Pralong; Jocelyne Bloch; Bogdan Draganski; Laura Cif
Journal:  Front Neuroanat       Date:  2015-05-27       Impact factor: 3.856

10.  Multiscale coupling of transcranial direct current stimulation to neuron electrodynamics: modeling the influence of the transcranial electric field on neuronal depolarization.

Authors:  Edward T Dougherty; James C Turner; Frank Vogel
Journal:  Comput Math Methods Med       Date:  2014-10-23       Impact factor: 2.238

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