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A macaque connectome for large-scale network simulations in TheVirtualBrain
Authors
Gleb Bezgin
Stefan Everling
+4 more
Anthony R. McIntosh
Petra Ritter
Michael Schirner
Kelly Shen
Publication date
1 December 2019
Publisher
Scholarship@Western
Abstract
© 2019, The Author(s). Models of large-scale brain networks that are informed by the underlying anatomical connectivity contribute to our understanding of the mapping between the structure of the brain and its dynamical function. Connectome-based modelling is a promising approach to a more comprehensive understanding of brain function across spatial and temporal scales, but it must be constrained by multi-scale empirical data from animal models. Here we describe the construction of a macaque (Macaca mulatta and Macaca fascicularis) connectome for whole-cortex simulations in TheVirtualBrain, an open-source simulation platform. We take advantage of available axonal tract-tracing datasets and enhance the existing connectome data using diffusion-based tractography in macaques. We illustrate the utility of the connectome as an extension of TheVirtualBrain by simulating resting-state BOLD-fMRI data and fitting it to empirical resting-state data
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oai:ir.lib.uwo.ca:brainpub-143...
Last time updated on 20/03/2021