LIAMA Center for Computational Medicine, National Laboratory of Pattern Recognition, Institute of Automation, The Chinese Academy of Sciences, Beijing 100190, China.
Neurosci Bull. 2012 Aug;28(4):375-88. doi: 10.1007/s12264-012-1245-3.
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.
越来越多的证据表明，人脑是一个高度自组织的系统，具有小世界、层次和模块化的属性。“连接组”是几年前提出的，用于确定大脑网络的基础物理连接。需要整合多空间和多时间方法已经变得明显。因此，提出了“脑网络组”（brain-net-ome）项目。弥散磁共振成像（dMRI）是研究脑网络解剖结构的一种非侵入性方法。在这里，我们回顾了 dMRI 的原理、方法及其在脑网络组学中的一些临床应用。讨论了该领域的未来研究。
