Unknown

Dataset Information

0

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


ABSTRACT: 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.

SUBMITTER: Shen K 

PROVIDER: S-EPMC6637142 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature

altmetric image

Publications

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

Shen Kelly K   Bezgin Gleb G   Schirner Michael M   Ritter Petra P   Everling Stefan S   McIntosh Anthony R AR  

Scientific data 20190717 1


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  ...[more]

Similar Datasets

| S-EPMC4284535 | biostudies-literature
| S-EPMC6777983 | biostudies-literature
| S-EPMC3907043 | biostudies-literature
| S-EPMC6274762 | biostudies-literature
| S-EPMC6001792 | biostudies-literature
| S-EPMC5869897 | biostudies-literature
| S-EPMC11371638 | biostudies-literature
| S-EPMC5943195 | biostudies-literature
| S-EPMC8566446 | biostudies-literature
| S-EPMC4786120 | biostudies-literature