TY - JOUR
T1 - Brain anatomical networks in early human brain development
AU - Fan, Yong
AU - Shi, Feng
AU - Smith, Jeffrey Keith
AU - Lin, Weili
AU - Gilmore, John H.
AU - Shen, Dinggang
N1 - Funding Information:
This work was supported in part by NSFC 30970770 , the Hundred Talents Program of Chinese Academy of Sciences , the National High Technology Research and Development Program (863 Program) of China , Grant No. 2009AA02Z302 , as well as NIH grants EB009724, EB006733, EB008374, EB009634, MH088520, MH070890, MH064065, NS055754, and HD053000 .
PY - 2011/2/1
Y1 - 2011/2/1
N2 - Recent neuroimaging studies have demonstrated that human brain networks have economic small-world topology and modular organization, enabling efficient information transfer among brain regions. However, it remains largely unknown how the small-world topology and modular organization of human brain networks emerge and develop. Using longitudinal MRI data of 28 healthy pediatric subjects, collected at their ages of 1. month, 1. year, and 2. years, we analyzed development patterns of brain anatomical networks derived from morphological correlations of brain regional volumes. The results show that the brain network of 1-month-olds has the characteristically economic small-world topology and nonrandom modular organization. The network's cost efficiency increases with the brain development to 1. year and 2. years, so does the modularity, providing supportive evidence for the hypothesis that the small-world topology and the modular organization of brain networks are established during early brain development to support rapid synchronization and information transfer with minimal rewiring cost, as well as to balance between local processing and global integration of information.
AB - Recent neuroimaging studies have demonstrated that human brain networks have economic small-world topology and modular organization, enabling efficient information transfer among brain regions. However, it remains largely unknown how the small-world topology and modular organization of human brain networks emerge and develop. Using longitudinal MRI data of 28 healthy pediatric subjects, collected at their ages of 1. month, 1. year, and 2. years, we analyzed development patterns of brain anatomical networks derived from morphological correlations of brain regional volumes. The results show that the brain network of 1-month-olds has the characteristically economic small-world topology and nonrandom modular organization. The network's cost efficiency increases with the brain development to 1. year and 2. years, so does the modularity, providing supportive evidence for the hypothesis that the small-world topology and the modular organization of brain networks are established during early brain development to support rapid synchronization and information transfer with minimal rewiring cost, as well as to balance between local processing and global integration of information.
UR - http://www.scopus.com/inward/record.url?scp=78650188765&partnerID=8YFLogxK
U2 - 10.1016/j.neuroimage.2010.07.025
DO - 10.1016/j.neuroimage.2010.07.025
M3 - Article
C2 - 20650319
AN - SCOPUS:78650188765
SN - 1053-8119
VL - 54
SP - 1862
EP - 1871
JO - NeuroImage
JF - NeuroImage
IS - 3
ER -