DTBIA: An Immersive Visual Analytics System for Brain-Inspired Research

Area of Science:

• Computational Neuroscience
• Artificial Intelligence
• Neuroimaging Visualization

Background:

• Digital Twin Brain (DTB) integrates spiking neurons for simulating cognitive functions.
• Visualizing high-dimensional, dynamic, and complex DTB data is crucial but challenging for domain experts.

Purpose of the Study:

• To develop an Immersive Visual Analytics System (DTBIA) for effective visualization of DTB simulation outcomes.
• To address the challenges of visualizing spatiotemporal and topological patterns in brain data.

Main Methods:

• DTBIA developed in collaboration with domain experts, incorporating a hierarchical workflow (brain regions to voxels).
• Utilizes immersive navigation and a 3D edge bundling algorithm for enhanced clarity.
• Analyzes both functional (BOLD) and structural (DTI) brain data.

Main Results:

• DTBIA provides multi-level detail visualization of complex neural data.
• The system enhances clarity and offers deeper insights into brain data.
• Validated through case studies with brain research experts.

Conclusions:

• DTBIA effectively addresses the visualization challenges of Digital Twin Brain data.
• The system significantly enhances comprehension of complex neural behaviors and interactions.
• DTBIA is a valuable tool for brain-inspired research and neuroimaging analysis.