Jove
Visualize
Contact Us

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Electrical rejuvenation of chronically implanted macroelectrodes in nonhuman primates.

Journal of neural engineering·2024
Same author

Selective activation of central thalamic fiber pathway facilitates behavioral performance in healthy non-human primates.

Scientific reports·2021
Same author

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

Computer methods in biomechanics and biomedical engineering. Imaging & visualization·2020
Same author

A connectomic approach for subcallosal cingulate deep brain stimulation surgery: prospective targeting in treatment-resistant depression.

Molecular psychiatry·2017
Same author

Theoretical principles underlying optical stimulation of myelinated axons expressing channelrhodopsin-2.

Neuroscience·2013
Same author

Patient-specific analysis of the relationship between the volume of tissue activated during DBS and verbal fluency.

NeuroImage·2010
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: Jul 13, 2026

Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models
14:14

Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models

Published on: August 12, 2018

StimExplorer: deep brain stimulation parameter selection software system.

C R Butson1, A M Noecker, C B Maks

  • 1Department of Biomedical Engineering, Cleveland Clinic Foundation, Cleveland, OH 44195, USA.

Acta Neurochirurgica. Supplement
|August 19, 2007
PubMed
Summary
This summary is machine-generated.

StimExplorer software aids deep brain stimulation (DBS) by modeling the volume of tissue activated (VTA). It personalizes models using patient MRI data to suggest optimal stimulation parameters for improved clinical outcomes.

More Related Videos

Controlling Parkinson's Disease With Adaptive Deep Brain Stimulation
11:12

Controlling Parkinson's Disease With Adaptive Deep Brain Stimulation

Published on: July 16, 2014

Bringing the Clinic Home: An At-Home Multi-Modal Data Collection Ecosystem to Support Adaptive Deep Brain Stimulation
06:32

Bringing the Clinic Home: An At-Home Multi-Modal Data Collection Ecosystem to Support Adaptive Deep Brain Stimulation

Published on: July 14, 2023

Related Experiment Videos

Last Updated: Jul 13, 2026

Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models
14:14

Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models

Published on: August 12, 2018

Controlling Parkinson's Disease With Adaptive Deep Brain Stimulation
11:12

Controlling Parkinson's Disease With Adaptive Deep Brain Stimulation

Published on: July 16, 2014

Bringing the Clinic Home: An At-Home Multi-Modal Data Collection Ecosystem to Support Adaptive Deep Brain Stimulation
06:32

Bringing the Clinic Home: An At-Home Multi-Modal Data Collection Ecosystem to Support Adaptive Deep Brain Stimulation

Published on: July 14, 2023

Area of Science:

  • Neurosurgery
  • Biomedical Engineering
  • Medical Software Development

Background:

  • Deep brain stimulation (DBS) is a crucial therapy for neurological disorders.
  • Clinical implementation of DBS requires precise understanding of stimulation parameters and their effects.
  • Current methods for predicting stimulation effects can be complex and lack patient-specific detail.

Purpose of the Study:

  • To introduce StimExplorer, a novel software package for clinical deep brain stimulation (DBS).
  • To enable quantitative prediction of the 3D volume of tissue activated (VTA) by DBS.
  • To assist clinicians in optimizing DBS therapy through patient-specific modeling and parameter suggestions.

Main Methods:

  • Utilized detailed computer models to simulate DBS VTA.
  • Integrated patient-specific magnetic resonance imaging (MRI) data for anatomical personalization.
  • Incorporated DBS electrode orientation, location, and impedance data.
  • Developed a clinician-friendly graphical user interface with 3D visualization capabilities.

Main Results:

  • StimExplorer provides quantitative 3D VTA predictions based on stimulation parameters and patient anatomy.
  • The software allows interactive visualization of MRI, anatomical structures, electrode, and VTAs.
  • Offers theoretically optimal stimulation parameter suggestions for initial clinical programming.

Conclusions:

  • StimExplorer facilitates the clinical implementation of DBS by providing crucial anatomical and electrical information.
  • The software educates clinicians on stimulation parameter effects, aiding in customized therapy.
  • Aims to improve therapeutic outcomes in DBS by enhancing personalization and precision.