Literature DB >> 19142235

Current steering to control the volume of tissue activated during deep brain stimulation.

Christopher R Butson1, Cameron C McIntyre.   

Abstract

BACKGROUND: Over the last two decades, deep brain stimulation (DBS) has become a recognized and effective clinical therapy for numerous neurological conditions. Since its inception, clinical DBS technology has progressed at a relatively slow rate; however, advances in neural engineering research have the potential to improve DBS systems. One such advance is the concept of current steering, or the use of multiple stimulation sources to direct current flow through targeted regions of brain tissue. The goals of this study were to develop a theoretical understanding of the effects of current steering in the context of DBS, and use that information to evaluate the potential utility of current steering during stimulation of the subthalamic nucleus.
METHODS: We used finite element electric field models, coupled to multi-compartment cable axon models, to predict the volume of tissue activated (VTA) by DBS as a function of the stimulation parameter settings.
RESULTS: Balancing current flow through adjacent cathodes increased the VTA magnitude, relative to monopolar stimulation, and current steering enabled us to sculpt the shape of the VTA to fit a given anatomical target.
CONCLUSIONS: These results provide motivation for the integration of current steering technology into clinical DBS systems, thereby expanding opportunities to customize DBS to individual patients, and potentially enhancing therapeutic efficacy.

Entities:  

Keywords:  electric field; electrode; model; neuromodulation; neurostimulation; subthalamic nucleus

Mesh:

Year:  2008        PMID: 19142235      PMCID: PMC2621081          DOI: 10.1016/j.brs.2007.08.004

Source DB:  PubMed          Journal:  Brain Stimul        ISSN: 1876-4754            Impact factor:   8.955


  56 in total

1.  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

2.  Computer-aided placement of deep brain stimulators: from planning to intraoperative guidance.

Authors:  Pierre-François D'Haese; Ebru Cetinkaya; Peter E Konrad; Chris Kao; Benoit M Dawant
Journal:  IEEE Trans Med Imaging       Date:  2005-11       Impact factor: 10.048

3.  Tissue and electrode capacitance reduce neural activation volumes during deep brain stimulation.

Authors:  Christopher R Butson; Cameron C McIntyre
Journal:  Clin Neurophysiol       Date:  2005-10       Impact factor: 3.708

4.  Current density distributions, field distributions and impedance analysis of segmented deep brain stimulation electrodes.

Authors:  Xuefeng F Wei; Warren M Grill
Journal:  J Neural Eng       Date:  2005-11-09       Impact factor: 5.379

5.  Matching geometry and stimulation parameters of electrodes for deep brain stimulation experiments--numerical considerations.

Authors:  Ulrike Gimsa; Ute Schreiber; Beate Habel; Jürgen Flehr; Ursula van Rienen; Jan Gimsa
Journal:  J Neurosci Methods       Date:  2005-08-10       Impact factor: 2.390

6.  Sources and effects of electrode impedance during deep brain stimulation.

Authors:  Christopher R Butson; Christopher B Maks; Cameron C McIntyre
Journal:  Clin Neurophysiol       Date:  2005-12-22       Impact factor: 3.708

7.  Non-rectangular waveforms for neural stimulation with practical electrodes.

Authors:  Mesut Sahin; Yanmei Tie
Journal:  J Neural Eng       Date:  2007-05-02       Impact factor: 5.379

8.  Predicting the effects of deep brain stimulation with diffusion tensor based electric field models.

Authors:  Christopher R Butson; Scott E Cooper; Jaimie M Henderson; Cameron C McIntyre
Journal:  Med Image Comput Comput Assist Interv       Date:  2006

9.  Statistical determination of the optimal subthalamic nucleus stimulation site in patients with Parkinson disease.

Authors:  Dominique Guehl; Roderick Edwards; Emmanuel Cuny; Pierre Burbaud; Alain Rougier; Julien Modolo; Anne Beuter
Journal:  J Neurosurg       Date:  2007-01       Impact factor: 5.115

10.  Statistical analysis of 168 bilateral subthalamic nucleus implantations by means of the probabilistic functional atlas.

Authors:  Wieslaw L Nowinski; Dmitry Belov; Pierre Pollak; Alim-Louis Benabid
Journal:  Neurosurgery       Date:  2005-10       Impact factor: 4.654

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  61 in total

1.  Improved spatial targeting with directionally segmented deep brain stimulation leads for treating essential tremor.

Authors:  Maureen Keane; Steve Deyo; Aviva Abosch; Jawad A Bajwa; Matthew D Johnson
Journal:  J Neural Eng       Date:  2012-06-25       Impact factor: 5.379

2.  CranialVault and its CRAVE tools: a clinical computer assistance system for deep brain stimulation (DBS) therapy.

Authors:  Pierre-François D'Haese; Srivatsan Pallavaram; Rui Li; Michael S Remple; Chris Kao; Joseph S Neimat; Peter E Konrad; Benoit M Dawant
Journal:  Med Image Anal       Date:  2010-08-01       Impact factor: 8.545

Review 3.  Stereotactic implantation of deep brain stimulation electrodes: a review of technical systems, methods and emerging tools.

Authors:  Simone Hemm; Karin Wårdell
Journal:  Med Biol Eng Comput       Date:  2010-06-02       Impact factor: 2.602

4.  Current steering to activate targeted neural pathways during deep brain stimulation of the subthalamic region.

Authors:  Ashutosh Chaturvedi; Thomas J Foutz; Cameron C McIntyre
Journal:  Brain Stimul       Date:  2011-06-02       Impact factor: 8.955

5.  Predicting myelinated axon activation using spatial characteristics of the extracellular field.

Authors:  E J Peterson; O Izad; D J Tyler
Journal:  J Neural Eng       Date:  2011-07-13       Impact factor: 5.379

6.  Probabilistic analysis of activation volumes generated during deep brain stimulation.

Authors:  Christopher R Butson; Scott E Cooper; Jaimie M Henderson; Barbara Wolgamuth; Cameron C McIntyre
Journal:  Neuroimage       Date:  2010-10-23       Impact factor: 6.556

7.  Multi-objective particle swarm optimization for postoperative deep brain stimulation targeting of subthalamic nucleus pathways.

Authors:  Edgar Peña; Simeng Zhang; Remi Patriat; Joshua E Aman; Jerrold L Vitek; Noam Harel; Matthew D Johnson
Journal:  J Neural Eng       Date:  2018-09-13       Impact factor: 5.379

8.  Particle swarm optimization for programming deep brain stimulation arrays.

Authors:  Edgar Peña; Simeng Zhang; Steve Deyo; YiZi Xiao; Matthew D Johnson
Journal:  J Neural Eng       Date:  2017-01-09       Impact factor: 5.379

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.  Bidirectional telemetry controller for neuroprosthetic devices.

Authors:  Vishnu Sharma; Douglas B McCreery; Martin Han; Victor Pikov
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2009-11-20       Impact factor: 3.802

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