Literature DB >> 17691349

StimExplorer: deep brain stimulation parameter selection software system.

C R Butson1, A M Noecker, C B Maks, C C McIntyre.   

Abstract

StimExplorer is a Windows-based software package intended to aid the clinical implementation of deep brain stimulation (DBS) technology. StimExplorer uses detailed computer models to provide a quantitative description of the 3D volume of tissue activated (VTA) by DBS as a function of the stimulation parameters and electrode location within the brain. The stimulation models are tailored to the individual patient by importing their magnetic resonance imaging (MRI) data and interactively scaling 3D anatomical nuclei to fit the patient anatomy. The user also inputs the DBS electrode orientation, location, and impedance data. The software then provides theoretically optimal stimulation parameter suggestions, intended to represent the start point for clinical programming of the DBS device. The software system is packaged into a clinician-friendly graphical user interface that allows for simultaneous interactive 3D visualization of the MRI, anatomical nuclei, DBS electrode, and VTAs for a wide range of stimulation parameter settings (contact, impedance, voltage, pulse width, and frequency). The goals of the StimExplorer system are to educate clinicians on the impact of stimulation parameter manipulation, and improve therapeutic outcomes by providing quantitative anatomical and electrical information useful for customizing DBS to individual patients.

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Year:  2007        PMID: 17691349     DOI: 10.1007/978-3-211-33081-4_66

Source DB:  PubMed          Journal:  Acta Neurochir Suppl        ISSN: 0065-1419


  10 in total

1.  Transcranial direct current stimulation in patients with skull defects and skull plates: high-resolution computational FEM study of factors altering cortical current flow.

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2.  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

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

Authors:  Christopher R Butson; Cameron C McIntyre
Journal:  Brain Stimul       Date:  2008-01       Impact factor: 8.955

4.  Deep brain stimulation activation volumes and their association with neurophysiological mapping and therapeutic outcomes.

Authors:  C B Maks; C R Butson; B L Walter; J L Vitek; C C McIntyre
Journal:  J Neurol Neurosurg Psychiatry       Date:  2008-04-10       Impact factor: 10.154

Review 5.  Engineering therapies in the CNS: what works and what can be translated.

Authors:  Andrew J Shoffstall; Dawn M Taylor; Erin B Lavik
Journal:  Neurosci Lett       Date:  2012-02-04       Impact factor: 3.046

6.  Theoretical Optimization of Stimulation Strategies for a Directionally Segmented Deep Brain Stimulation Electrode Array.

Authors:  YiZi Xiao; Edgar Peña; Matthew D Johnson
Journal:  IEEE Trans Biomed Eng       Date:  2015-07-17       Impact factor: 4.538

7.  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

8.  Reversing cognitive-motor impairments in Parkinson's disease patients using a computational modelling approach to deep brain stimulation programming.

Authors:  Anneke M M Frankemolle; Jennifer Wu; Angela M Noecker; Claudia Voelcker-Rehage; Jason C Ho; Jerrold L Vitek; Cameron C McIntyre; Jay L Alberts
Journal:  Brain       Date:  2010-01-07       Impact factor: 13.501

9.  Levodopa Versus Dopamine Agonist after Subthalamic Stimulation in Parkinson's Disease.

Authors:  Marina Picillo; Onanong Phokaewvarangkul; Yu-Yan Poon; Cameron C McIntyre; Sinem Balta Beylergil; Renato P Munhoz; Suneil K Kalia; Mojgan Hodaie; Andres M Lozano; Alfonso Fasano
Journal:  Mov Disord       Date:  2020-11-09       Impact factor: 10.338

10.  In silico Accuracy and Energy Efficiency of Two Steering Paradigms in Directional Deep Brain Stimulation.

Authors:  León Mauricio Juárez-Paz
Journal:  Front Neurol       Date:  2020-10-30       Impact factor: 4.003

  10 in total

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