Visualization for Understanding Uncertainty in Activation Volumes for Deep Brain Stimulation.

Area of Science:

• Neuroscience
• Medical Technology
• Data Visualization

Background:

• Deep brain stimulation (DBS) is a therapeutic intervention for neurological disorders.
• Understanding the precise impact of DBS electrode placement on brain tissue is crucial for optimizing treatment efficacy.
• Current data analysis methods for DBS can be complex and challenging to interpret due to the volumetric and sparse nature of the data.

Purpose of the Study:

• To introduce the Neurostimulation Uncertainty Viewer (νView), a novel tool designed for exploring deep brain stimulation (DBS) data.
• To provide visual methods for analyzing simulated volumes of tissue activated (VTA) in conjunction with patient outcomes.
• To enhance the understanding of electrode usage and its correlation with therapeutic effects in DBS.

Main Methods:

• Development of the Neurostimulation Uncertainty Viewer (νView) software.
• Integration of simulated VTA data from clinical DBS electrode placements.
• Incorporation of patient outcome data, specifically the Unified Parkinson's disease rating scale (UPDRS), linked to activated voxels.
• Utilizing volumetric and sparse data representation with multi-value patient results per voxel.

Main Results:

• νView offers a suite of visual exploration methods for DBS data.
• The tool facilitates the examination of the relationship between simulated VTA and patient-reported outcomes (UPDRS).
• Visualizations aid in understanding the spatial distribution of tissue activation and its potential impact.

Conclusions:

• The Neurostimulation Uncertainty Viewer (νView) is a valuable tool for researchers and clinicians working with DBS.
• νView enhances the comprehension of complex DBS data, aiding in the optimization of electrode placement and therapeutic strategies.
• Improved understanding through νView can lead to more effective and personalized DBS therapies for patients.