Connectome-scale functional intrinsic connectivity networks in macaques

Zhang, Wei; Jiang, Xi; Zhang, Shu; Howell, Brittany R.; Zhao, Yu; Zhang, Tuo; Sánchez, Mar M.; Hu, Xiaoping; Liu, Tianming

doi:10.1016/j.neuroscience.2017.08.022

Cited by 15 publications

(7 citation statements)

References 86 publications

(150 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…4e, blue). These networks are similar to the frontal, superior temporal, and visual resting-state networks previously reported in macaques 41,60,61 . We additionally computed the nodal degree (sum of weights, or strengths) of the simulated and empirical FC networks to compare their topologies.…”

Section: Technical Validationsupporting

confidence: 85%

A macaque connectome for large-scale network simulations in TheVirtualBrain

et al. 2019

View full text Add to dashboard Cite

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.

show abstract

Section: Technical Validationsupporting

confidence: 85%

A macaque connectome for large-scale network simulations in TheVirtualBrain

et al. 2019

View full text Add to dashboard Cite

show abstract

“…The third (7.6% of the covariance) was composed of V1, V2 and exstrastriate visual cortices bilaterally (Fig 4e, blue). These networks are similar to the frontal, superior temporal, and visual resting-state networks previously reported in macaques 45,60,61 . We additionally computed the nodal degree (sum of weights, or strengths) of the simulated and empirical FC networks to compare their topologies.…”

Section: Technical Validationsupporting

confidence: 84%

A macaque connectome for large-scale network simulations in TheVirtualBrain

Shen

Bezgin

Everling

et al. 2018

Preprint

View full text Add to dashboard Cite

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 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.

show abstract

“…The first three volumes were removed from each EPI scan to ensure scan environment stabilization, resulting in a total of 794 concatenated volumes per 15-min scan. These protocols and scan sequences have been optimized at the YNPRC for longitudinal infant macaque imaging (Kovacs-Balint et al, 2018; Mavigner et al, 2018; Shi et al, 2017; Zhang et al, 2017).…”

Section: Methodsmentioning

confidence: 99%

Developmental outcomes of early adverse care on amygdala functional connectivity in nonhuman primates

et al. 2020

Self Cite

View full text Add to dashboard Cite

Despite the strong link between childhood maltreatment and psychopathology, the underlying neurodevelopmental mechanisms are poorly understood and difficult to disentangle from heritable and prenatal factors. This study used a translational macaque model of infant maltreatment in which the adverse experience occurs in the first months of life, during intense maturation of amygdala circuits important for stress and emotional regulation. Thus, we examined the developmental impact of maltreatment on amygdala functional connectivity (FC) longitudinally, from infancy through the juvenile period. Using resting state functional magnetic resonance imaging (MRI) we performed amygdala–prefrontal cortex (PFC) region-of-interest and exploratory whole-brain amygdala FC analyses. The latter showed (a) developmental increases in amygdala FC with many regions, likely supporting increased processing of socioemotional-relevant stimuli with age; and (b) maltreatment effects on amygdala coupling with arousal and stress brain regions (locus coeruleus, laterodorsal tegmental area) that emerged with age. Maltreated juveniles showed weaker FC than controls, which was negatively associated with infant hair cortisol concentrations. Findings from the region-of-interest analysis also showed weaker amygdala FC with PFC regions in maltreated animals than controls since infancy, whereas bilateral amygdala FC was stronger in maltreated animals. These effects on amygdala FC development may underlie the poor behavioral outcomes associated with this adverse experience.

show abstract

Connectome-scale functional intrinsic connectivity networks in macaques

Cited by 15 publications

References 86 publications

A macaque connectome for large-scale network simulations in TheVirtualBrain

A macaque connectome for large-scale network simulations in TheVirtualBrain

A macaque connectome for large-scale network simulations in TheVirtualBrain

Developmental outcomes of early adverse care on amygdala functional connectivity in nonhuman primates

Contact Info

Product

Resources

About