Brain anatomical networks in early human brain development

• Published in: NeuroImage (Orlando, Fla.) Vol. 54; no. 3; pp. 1862 - 1871
• Main Authors: Fan, Yong, Shi, Feng, Smith, Jeffrey Keith, Lin, Weili, Gilmore, John H., Shen, Dinggang
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 01.02.2011; Elsevier Limited
• Subjects: Adult; Age; Algorithms; Brain - anatomy & histology; Brain - growth & development; Brain research; Cerebral Cortex - anatomy & histology; Cerebral Cortex - growth & development; Child; Child, Preschool; Data Interpretation, Statistical; Efficiency; Female; Humans; Hypotheses; Image Processing, Computer-Assisted; Infant; Magnetic Resonance Imaging; Male; Nerve Net - anatomy & histology; Nerve Net - growth & development; Studies; Young Adult
• ISSN: 1053-8119; 1095-9572; 1095-9572
• DOI: 10.1016/j.neuroimage.2010.07.025

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 1month, 1year, and 2years, 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 1year and 2years, 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. ► The small-world topology and modular organization of brain networks are established during early brain development ► Cost efficiency and modularity of brain networks increase with brain development