Surface-based and probabilistic atlases of primate cerebral cortex

Area of Science:

• Neuroimaging
• Computational Neuroscience
• Comparative Neuroanatomy

Background:

• Digital brain atlases are essential tools in neuroimaging for data analysis, visualization, and cross-study comparisons.
• Existing atlases for humans and macaques have varying strengths and limitations.
• Hybrid atlases offer advantages for cerebral cortex studies by integrating surface and volume representations.

Purpose of the Study:

• To highlight the utility of hybrid brain atlases for neuroimaging research.
• To emphasize the benefits of population-based atlases with variation measures.
• To advocate for linking diverse brain atlases and online databases for enhanced data mining.

Main Methods:

• Review of existing digital brain atlas types for humans and macaques.
• Discussion of the advantages of hybrid atlas approaches for cerebral cortex studies.
• Conceptual framework for integrating multiple atlases and online neuroimaging databases.

Main Results:

• Hybrid atlases combining surface and volume data provide complementary information for the cerebral cortex.
• Population-averaged atlases incorporating measures of variation are valuable.
• Interconnectivity between different brain atlases and databases facilitates powerful data mining.

Conclusions:

• Hybrid, population-based brain atlases enhance neuroimaging research efficiency.
• Linking diverse atlases and databases accelerates scientific discovery in neuroscience.
• Standardized atlas integration is key for future neuroimaging data exploration.