Connected brains and minds--The UMCD repository for brain connectivity matrices

Area of Science:

• Neuroscience
• Computational Neuroscience
• Medical Informatics

Background:

• Brain connectivity research is crucial for understanding neurological function and dysfunction.
• Existing platforms may lack comprehensive multimodal data or advanced analytical tools.
• Standardized sharing and analysis of brain connectivity matrices are needed.

Purpose of the Study:

• To introduce the USC Multimodal Connectivity Database (UMCD) as a centralized, interactive web platform.
• To facilitate the sharing, downloading, and analysis of brain connectivity matrices.
• To enable real-time graph theory-based analysis and visualization of network properties.

Main Methods:

• Development of an interactive web-based platform for data sharing.
• Implementation of functionalities for uploading and downloading connectivity matrices.
• Integration of real-time graph theory analysis and network visualization tools.

Main Results:

• The UMCD hosts a diverse range of human brain connectivity data, spanning functional and structural modalities.
• Data covers the full age spectrum (fetal to 89 years) and includes various neuropsychiatric and neurodegenerative populations.
• An analysis of 7 datasets demonstrated the platform's utility in assessing population-wide network properties.

Conclusions:

• The UMCD provides a valuable resource for advancing brain connectivity research.
• The platform's multimodal data and analytical capabilities facilitate deeper insights into brain networks.
• UMCD supports collaborative research and the exploration of brain connectivity across diverse populations and conditions.