Enabling discovery science in human connectomics

• 来源期刊: 科学通报（英文版）
• 年，卷（期）: 2015,（1）
• 页码范围: 139-140
• 页数: 2页
• 语种: 中文
• DOI: 10.1007/s11434-014-0716-5

摘要

In recent years,the confluence of technological advances in human neuroimaging and quantitative tools for understanding the structure and dynamics of complex systems have led to the emergence of new approaches toward understanding human brain function.These new approaches conceptualize the brain as a network organized across different spatial and temporal scales—a distributed complex system whose integrated function underlies human behavior and cognition.A core objective for this new conceptual approach is the construction of accurate and comprehensive network maps of human brain structural connectivity (the human connectome [1]) and its corresponding temporally fluctuating patterns of functional connectivity.In this issue of Science Bulletin,Xu et al.[2]describe a computational pipeline,the Connectome Computation System (CCS),designed to enable researchers to preprocess,data mine and explore the complex patterns of human brain connectivity.