Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA, USA; Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA.
Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
Neuroimage. 2018 Sep;178:57-68. doi: 10.1016/j.neuroimage.2018.05.027. Epub 2018 May 24.
A comprehensive map of the structural connectome in the human brain has been a coveted resource for understanding macroscopic brain networks. Here we report an expert-vetted, population-averaged atlas of the structural connectome derived from diffusion MRI data (N = 842). This was achieved by creating a high-resolution template of diffusion patterns averaged across individual subjects and using tractography to generate 550,000 trajectories of representative white matter fascicles annotated by 80 anatomical labels. The trajectories were subsequently clustered and labeled by a team of experienced neuroanatomists in order to conform to prior neuroanatomical knowledge. A multi-level network topology was then described using whole-brain connectograms, with subdivisions of the association pathways showing small-worldness in intra-hemisphere connections, projection pathways showing hub structures at thalamus, putamen, and brainstem, and commissural pathways showing bridges connecting cerebral hemispheres to provide global efficiency. This atlas of the structural connectome provides representative organization of human brain white matter, complementary to traditional histologically-derived and voxel-based white matter atlases, allowing for better modeling and simulation of brain connectivity for future connectome studies.
人类大脑结构连接组图谱一直是理解宏观大脑网络的理想资源。在这里,我们报告了一个经过专家审查、基于弥散磁共振成像(dMRI)数据的人群平均结构连接组图谱(N=842)。这是通过创建一个跨个体主体平均弥散模式的高分辨率模板,并使用束追踪生成 80 个解剖标签注释的 55 万个代表性白质束轨迹来实现的。随后,由一组经验丰富的神经解剖学家对轨迹进行聚类和标记,以符合先前的神经解剖学知识。然后使用全脑连接图描述了多层次的网络拓扑结构,其中联合通路的细分在半球内连接中表现出小世界特性,投射通路在丘脑、壳核和脑干处表现出枢纽结构,而连合通路则表现出连接大脑半球以提供全局效率的桥梁。这个结构连接组图谱提供了人类大脑白质的代表性组织,与传统的组织学衍生和体素基于的白质图谱互补,为未来的连接组研究提供了更好的大脑连接建模和模拟。