The Scalable Brain Atlas: Instant Web-Based Access to Public Brain Atlases and Related Content

Area of Science:

• Neuroscience
• Bioinformatics
• Computational Biology

Background:

• Accessing and comparing diverse brain atlases across species is challenging due to data fragmentation.
• Existing brain atlases often lack unified query capabilities and interactive visualization tools.
• The need for a centralized, web-based resource for brain atlas data is critical for research.

Purpose of the Study:

• To develop the Scalable Brain Atlas (SBA), a web service providing unified access to multiple brain atlases.
• To enable interactive exploration, comparison, and transformation of stereotaxic coordinates and brain regions.
• To serve as a lightweight, responsive platform for accessing and analyzing neuroanatomical data.

Main Methods:

• Developed a web service architecture for unified access to brain atlas templates.
• Implemented an atlas viewer displaying brain data as slice stacks with selectable coordinates and regions.
• Integrated a plugin system for custom functionalities like coordinate transformations and data retrieval.

Main Results:

• The SBA provides access to 20 atlas templates across six species.
• Includes plugins for coordinate transformations, anatomical connectivity visualization, and region property retrieval.
• The viewer supports interactive selection of slices, coordinates, and brain regions for web queries.

Conclusions:

• The Scalable Brain Atlas (SBA) successfully provides a unified, web-based platform for accessing and comparing brain atlases.
• SBA facilitates efficient neuroanatomical data exploration, coordinate manipulation, and resource querying.
• The resource serves as a valuable tool for comparative neuroanatomy and brain mapping research.