Recent findings from developmental neuroimaging studies suggest that the enhancement of cognitive processes during development may be the result of a fine-tuning of the structural and functional organization of brain with maturation. However, the details regarding the developmental trajectory of large-scale structural brain networks are not yet understood. Here, we used graph theory to examine developmental changes in the organization of structural brain networks in 203 normally growing children and adolescents. Structural brain networks were constructed using interregional correlations in cortical thickness for 4 age groups (early childhood: 4.8-8.4 year; late childhood: 8.5-11.3 year; early adolescence: 11.4-14.7 year; late adolescence: 1...
Some brain regions have a central role in supporting integrated brain function, marking them as netw...
The child brain is a small-world network, which is hypothesized to change toward more ordered config...
Graph theory can be applied to matrices that represent the brain's anatomical connections, to better...
Brain connectivity shows protracted development throughout childhood and adolescence, and, as such, ...
Structural covariance conceptualizes how morphologic properties of brain regions are related to one ...
The interactions of brain regions with other regions at the network level likely provide the infrast...
Many organizational principles of structural brain networks are established before birth and undergo...
Brain structural covariance networks (SCNs) composed of regions with correlated variation are altere...
During childhood, brain structure and function changes substantially. Recently, graph theory has bee...
The mature human brain is organized into a collection of specialized functional networks that flexib...
Graph theory can be applied to matrices that represent the brain’s anatomical connections, to better...
Human brain undergoes rapid growth during the first few years of life. While previous research has e...
The human brain undergoes profound structural changes with development. It does not mature by simply...
Adolescence is a critical time for the continued maturation of brain networks. Here, we assessed str...
Graph theory can be applied to matrices that represent the brain's anatomical connections, to better...
Some brain regions have a central role in supporting integrated brain function, marking them as netw...
The child brain is a small-world network, which is hypothesized to change toward more ordered config...
Graph theory can be applied to matrices that represent the brain's anatomical connections, to better...
Brain connectivity shows protracted development throughout childhood and adolescence, and, as such, ...
Structural covariance conceptualizes how morphologic properties of brain regions are related to one ...
The interactions of brain regions with other regions at the network level likely provide the infrast...
Many organizational principles of structural brain networks are established before birth and undergo...
Brain structural covariance networks (SCNs) composed of regions with correlated variation are altere...
During childhood, brain structure and function changes substantially. Recently, graph theory has bee...
The mature human brain is organized into a collection of specialized functional networks that flexib...
Graph theory can be applied to matrices that represent the brain’s anatomical connections, to better...
Human brain undergoes rapid growth during the first few years of life. While previous research has e...
The human brain undergoes profound structural changes with development. It does not mature by simply...
Adolescence is a critical time for the continued maturation of brain networks. Here, we assessed str...
Graph theory can be applied to matrices that represent the brain's anatomical connections, to better...
Some brain regions have a central role in supporting integrated brain function, marking them as netw...
The child brain is a small-world network, which is hypothesized to change toward more ordered config...
Graph theory can be applied to matrices that represent the brain's anatomical connections, to better...