Home › Neuroscience › Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models
Neuroscience JoVE (Open Access) Citable · DOI

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

DOI: 10.3791/57292-v
What you'll learn
  • ✓ Process patient neuroimaging data into volumetric datasets for modeling
  • ✓ Generate finite element models of brain tissue and stimulation geometry
  • ✓ Simulate deep brain stimulation effects on neural fiber activation in real-time
  • ✓ Interpret interactive patient-specific DBS predictions for clinical planning
Protocol

The goal of this project is to develop an interactive, patient-specific modeling pipeline to simulate the effects of deep brain stimulation in near real-time and provide meaningful feedback as to how these devices influence neural activity in the brain.

Difficulty
advanced
Total time
~4–8 hours per patient (imaging segmentation through model validation)

Steps

1
Process and segment neuroimaging data

Convert patient MRI/CT images into volumetric datasets and segment anatomical structures (brain tissue, ventricles, fiber tracts) for computational modeling.

▶ 04:19
2
Generate finite element models from segmented data

Create patient-specific 3D finite element meshes incorporating tissue conductivity, electrode geometry, and electrical properties to enable DBS simulation.

▶ 06:30
3
Run interactive simulation and predict fiber activation

Execute real-time DBS simulations to visualize electric field distribution and quantify predicted neural fiber tract activation in response to stimulation parameters.

▶ 10:46
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