title: Diffusion magnetic resonance imaging for Brainnetome: a critical review.
abstract: Increasing evidence shows that the human brain is a highly self-organized system that shows attributes of small-worldness, hierarchy and modularity. The "connectome" was conceived several years ago to identify the underpinning physical connectivities of brain networks. The need for an integration of multi-spatial and -temporal approaches is becoming apparent. Therefore, the "Brainnetome" (brain-net-ome) project was proposed. Diffusion magnetic resonance imaging (dMRI) is a non-invasive way to study the anatomy of brain networks. Here, we review the principles of dMRI, its methodologies, and some of its clinical applications for the Brainnetome. Future research in this field is discussed.
authors: LIAMA Center for Computational Medicine, National Laboratory of Pattern Recognition, Institute of Automation, The Chinese Academy of Sciences, Beijing 100190, China.
authors: Nianming
authors: N
authors: Zuo
authors: Jian
authors: J
authors: Cheng
authors: Tianzi
authors: T
authors: Jiang
mesh_terms: D001921:Brain / Q000033:anatomy & histology* / Q000473:pathology; D001931:Brain Mapping / Q000379:methods; D038524:Diffusion Magnetic Resonance Imaging / Q000379:methods*; D006801:Humans; D007091:Image Processing, Computer-Assisted; D009415:Nerve Net / Q000033:anatomy & histology*