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A macaque connectome for large-scale network simulations in TheVirtualBrain.

Kelly Shen1, Gleb Bezgin2, Michael Schirner3,4,5

  • 1Rotman Research Institute, Baycrest, Toronto, Ontario, Canada. kshen@research.baycrest.org.

Scientific Data
|July 19, 2019
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Summary
This summary is machine-generated.

Researchers developed a macaque brain connectome for whole-cortex simulations. This model enhances understanding of brain structure-function mapping using TheVirtualBrain platform and resting-state fMRI data.

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Area of Science:

  • Neuroscience
  • Computational Neuroscience

Background:

  • Understanding the brain's structure-function relationship is crucial for mapping brain dynamics.
  • Connectome-based modeling offers a pathway to comprehending brain function across scales.
  • Such models require validation with multi-scale empirical data from animal models.

Purpose of the Study:

  • To construct a macaque (Macaca mulatta and Macaca fascicularis) connectome for whole-cortex simulations.
  • To integrate this connectome into TheVirtualBrain, an open-source simulation platform.
  • To demonstrate the utility of the enhanced connectome by simulating and fitting resting-state BOLD-fMRI data.

Main Methods:

  • Utilized existing axonal tract-tracing datasets.
  • Enhanced connectome data with diffusion-based tractography in macaques.
  • Performed whole-cortex simulations within TheVirtualBrain framework.

Main Results:

  • Successfully constructed a detailed macaque connectome.
  • Integrated the connectome into TheVirtualBrain for advanced simulations.
  • Simulated resting-state BOLD-fMRI data that was fitted to empirical data.

Conclusions:

  • The developed macaque connectome serves as a valuable extension for TheVirtualBrain.
  • This approach facilitates the study of brain network dynamics informed by anatomical connectivity.
  • The model aids in understanding the link between brain structure and function using empirical data.