Title :
Development of the “rich club” in brain connectivity networks from 438 adolescents & adults aged 12 to 30
Author :
Dennis, Emily L. ; Jahanshad, Neda ; Toga, Arthur W. ; McMahon, Katie L. ; de Zubicaray, Greig I. ; Hickie, Ian ; Wright, Margaret J. ; Thompson, P.M.
Author_Institution :
Sch. of Med., Imaging Genetics Center, UCLA, Los Angeles, CA, USA
Abstract :
The `rich club´ coefficient describes a phenomenon where a network´s hubs (high-degree nodes) are on average more intensely interconnected than lower-degree nodes. Networks with rich clubs often have an efficient, higher-order organization, but we do not yet know how the rich club emerges in the living brain, or how it changes as our brain networks develop. Here we chart the developmental trajectory of the rich club in anatomical brain networks from 438 subjects aged 12-30. Cortical networks were constructed from 68x68 connectivity matrices of fiber density, using whole-brain tractography in 4-Tesla 105-gradient high angular resolution diffusion images (HARDI). The adult and younger cohorts had rich clubs that included different nodes; the rich club effect intensified with age. Rich-club organization is a sign of a network´s efficiency and robustness. These concepts and findings may be advantageous for studying brain maturation and abnormal brain development.
Keywords :
biodiffusion; biomedical MRI; brain; image resolution; image sequences; medical image processing; neurophysiology; HARDI; abnormal brain development; adolescents; adults; anatomical brain network; brain maturation; cortical networks; high angular resolution diffusion images; image sequence; living brain connectivity network; magnetic flux density 4 T; network robustness; rich club coefficient; whole-brain tractography; Aging; Australia; Brain modeling; Magnetic resonance imaging; Optical fiber networks; Organizations; development; high angular resolution diffusion imaging (HARDI); network analyses; rich club coefficient; structural connectivity; tractography;
Conference_Titel :
Biomedical Imaging (ISBI), 2013 IEEE 10th International Symposium on
Conference_Location :
San Francisco, CA
Print_ISBN :
978-1-4673-6456-0
DOI :
10.1109/ISBI.2013.6556552