Analyzing the DTI (Diffusion Tensor Imaging) connectomesin vivo has become feasible through the integration of DTI imaging techniques, image processing, and network theory, which brings DTI brain imaging closer to the topology of brain network and helps us to learn more about the relationship among the brain structure, human behavior and cognition. In this review, the basic elements for the brain network are ifrstly discussed: DTI data acquisition and processing, the deifnition of network nodes and edges, as well as the network analysis method. Then, application of DTI connectomes in several clinical brain diseases (Alzheimer’s disease, schizophrenia, multiple sclerosis,etc) are explored.%DTI脑连接组分析通过集成DTI成像技术、图像处理方法和网络理论，使得我们可以通过DTI磁共振成像更真实地接近大脑网络的拓扑结构，帮助我们进一步了解脑组织结构和人类行为及认知间的关系。本文首先讨论了网络构建中的基本元素：DTI数据采集与处理、网络节点定义、网络中边的定义，以及网络分析的基本方法。随后本文就当前DTI脑连接组在一些脑部临床疾病（老年痴呆症、精神分裂症、多发性硬化症等）上的基本应用展开讨论。
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