人类连接体项目
预处理器
连接体
数据科学
集合(抽象数据类型)
计算机科学
数据集
人口
功能(生物学)
心理学
人工智能
功能连接
医学
神经科学
生物
环境卫生
程序设计语言
进化生物学
作者
David C. Van Essen,Stephen M. Smith,Deanna M. Barch,Timothy E.J. Behrens,Essa Yacoub,Kâmil Uğurbil
出处
期刊:NeuroImage
[Elsevier]
日期:2013-05-16
卷期号:80: 62-79
被引量:5858
标识
DOI:10.1016/j.neuroimage.2013.05.041
摘要
The Human Connectome Project consortium led by Washington University, University of Minnesota, and Oxford University is undertaking a systematic effort to map macroscopic human brain circuits and their relationship to behavior in a large population of healthy adults. This overview article focuses on progress made during the first half of the 5-year project in refining the methods for data acquisition and analysis. Preliminary analyses based on a finalized set of acquisition and preprocessing protocols demonstrate the exceptionally high quality of the data from each modality. The first quarterly release of imaging and behavioral data via the ConnectomeDB database demonstrates the commitment to making HCP datasets freely accessible. Altogether, the progress to date provides grounds for optimism that the HCP datasets and associated methods and software will become increasingly valuable resources for characterizing human brain connectivity and function, their relationship to behavior, and their heritability and genetic underpinnings.
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