Mapping complementary features of cross-species structural connectivity to construct realistic "Virtual Brains"

Area of Science:

• Systems Neuroscience
• Neuroinformatics
• Computational Neuroscience

Background:

• Large-scale neuroinformatics initiatives are crucial for biologically realistic primate whole-brain modeling.
• Existing methods require robust anatomical frameworks for accurate simulations.

Purpose of the Study:

• To present a novel framework for assembling a biologically plausible anatomical backbone of the primate brain.
• To integrate complementary structural connectivity data from different species and modalities.

Main Methods:

• Combined invasive macaque axonal tract tracing with non-invasive human diffusion tensor imaging.
• Utilized interspecies registration tools and a Bayesian probabilistic modeling approach.
• Integrated the framework into The Virtual Brain (TVB) whole-brain simulation platform.

Main Results:

• Successfully assembled a primate brain's anatomical backbone by merging diverse connectivity data.
• Demonstrated the framework's capability to extract common connectivity evidence across modalities.
• Showcased the framework's integration within The Virtual Brain for advanced modeling.

Conclusions:

• The developed framework provides a robust method for creating primate brain models.
• Integrating multi-species, multi-modal data enhances the biological plausibility of brain simulations.
• This approach advances the capacity for large-scale, realistic whole-brain modeling in systems neuroscience.