Literature DB >> 26020096

A novel lead design enables selective deep brain stimulation of neural populations in the subthalamic region.

Kees J van Dijk1, Rens Verhagen, Ashutosh Chaturvedi, Cameron C McIntyre, Lo J Bour, Ciska Heida, Peter H Veltink.   

Abstract

OBJECTIVE: The clinical effects of deep brain stimulation (DBS) of the subthalamic nucleus (STN-DBS) as a treatment for Parkinson's disease are sensitive to the location of the DBS lead within the STN. New high density (HD) lead designs have been created which are hypothesized to provide additional degrees of freedom in shaping the stimulating electric field. The objective of this study is to compare the performances of a new HD lead with a conventional cylindrical contact (CC) lead. APPROACH: A computational model, consisting of a finite element electric field model combined with multi-compartment neuron and axon models representing different neural populations in the subthalamic region, was used to evaluate the two leads. We compared ring-mode and steering-mode stimulation with the HD lead to single contact stimulation with the CC lead. These stimulation modes were tested for the lead: (1) positioned in the centroid of the STN, (2) shifted 1 mm towards the internal capsule (IC), and (3) shifted 2 mm towards the IC. Under these conditions, we quantified the number of STN neurons that were activated without activating IC fibers, which are known to cause side-effects. MAIN
RESULTS: The modeling results show that the HD lead is able to mimic the stimulation effect of the CC lead. Additionally, in steering-mode stimulation there was a significant increase of activated STN neurons compared to the CC mode. SIGNIFICANCE: From the model simulations we conclude that the HD lead in steering-mode with optimized stimulation parameter selection can stimulate more STN cells. Next, the clinical impact of the increased number of activated STN cells should be tested and balanced across the increased complexity of identifying the optimized stimulation parameter settings for the HD lead.

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Year:  2015        PMID: 26020096     DOI: 10.1088/1741-2560/12/4/046003

Source DB:  PubMed          Journal:  J Neural Eng        ISSN: 1741-2552            Impact factor:   5.379


  13 in total

1.  The effects of paranodal myelin damage on action potential depend on axonal structure.

Authors:  Ehsan Daneshi Kohan; Behnia Shadab Lashkari; Carolyn Jennifer Sparrey
Journal:  Med Biol Eng Comput       Date:  2017-08-03       Impact factor: 2.602

2.  A retrospective evaluation of automated optimization of deep brain stimulation parameters.

Authors:  Johannes Vorwerk; Andrea A Brock; Daria N Anderson; John D Rolston; Christopher R Butson
Journal:  J Neural Eng       Date:  2019-11-06       Impact factor: 5.379

3.  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

4.  Orientation selective deep brain stimulation.

Authors:  Lauri J Lehto; Julia P Slopsema; Matthew D Johnson; Artem Shatillo; Benjamin A Teplitzky; Lynn Utecht; Gregor Adriany; Silvia Mangia; Alejandra Sierra; Walter C Low; Olli Gröhn; Shalom Michaeli
Journal:  J Neural Eng       Date:  2017-01-09       Impact factor: 5.379

5.  Brain stimulation patterns emulating endogenous thalamocortical input to parvalbumin-expressing interneurons reduce nociception in mice.

Authors:  Yeowool Huh; Dahee Jung; Taeyoon Seo; Sukkyu Sun; Su Hyun Kim; Hyewhon Rhim; Sooyoung Chung; Chong-Hyun Kim; Youngwoo Kwon; Marom Bikson; Yong-An Chung; Jeansok J Kim; Jeiwon Cho
Journal:  Brain Stimul       Date:  2018-05-18       Impact factor: 8.955

6.  Interactive computation and visualization of deep brain stimulation effects using Duality.

Authors:  J Vorwerk; D McCann; J Krüger; C R Butson
Journal:  Comput Methods Biomech Biomed Eng Imaging Vis       Date:  2019-07-02

Review 7.  Model-based analysis and design of waveforms for efficient neural stimulation.

Authors:  Warren M Grill
Journal:  Prog Brain Res       Date:  2015-09-04       Impact factor: 2.453

Review 8.  Precision electronic medicine in the brain.

Authors:  Shaun R Patel; Charles M Lieber
Journal:  Nat Biotechnol       Date:  2019-09-02       Impact factor: 54.908

9.  Anti-kindling Induced by Two-Stage Coordinated Reset Stimulation with Weak Onset Intensity.

Authors:  Magteld Zeitler; Peter A Tass
Journal:  Front Comput Neurosci       Date:  2016-05-17       Impact factor: 2.380

Review 10.  Computational Modeling and Neuroimaging Techniques for Targeting during Deep Brain Stimulation.

Authors:  Jennifer A Sweet; Jonathan Pace; Fady Girgis; Jonathan P Miller
Journal:  Front Neuroanat       Date:  2016-06-30       Impact factor: 3.856

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