连接体
人口统计学的
人类连接体项目
心理学
神经科学
人口
功能连接
神经影像学
多元统计
默认模式网络
静息状态功能磁共振成像
医学
人口学
计算机科学
机器学习
环境卫生
社会学
作者
Stephen M. Smith,Thomas E. Nichols,Diego Vidaurre,Anderson M. Winkler,Timothy E.J. Behrens,Matthew F. Glasser,Kâmil Uğurbil,Deanna M. Barch,David C. Van Essen,Karla L. Miller
摘要
Using data from the Human Connectome Project, a single holistic multivariate analysis identified one strong mode of population co-variation: subjects were predominantly spread along a single ‘positive-negative’ axis linking lifestyle, demographic and psychometric measures to each other and to a specific pattern of functional brain connectivity. We investigated the relationship between individual subjects' functional connectomes and 280 behavioral and demographic measures in a single holistic multivariate analysis relating imaging to non-imaging data from 461 subjects in the Human Connectome Project. We identified one strong mode of population co-variation: subjects were predominantly spread along a single 'positive-negative' axis linking lifestyle, demographic and psychometric measures to each other and to a specific pattern of brain connectivity.
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