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一种正负模式的群体协变将大脑连接性、人口统计学和行为联系起来。

A positive-negative mode of population covariation links brain connectivity, demographics and behavior.

作者信息

Smith Stephen M, Nichols Thomas E, Vidaurre Diego, Winkler Anderson M, Behrens Timothy E J, Glasser Matthew F, Ugurbil Kamil, Barch Deanna M, Van Essen David C, Miller Karla L

机构信息

Oxford University Centre for Functional MRI of the Brain (FMRIB), Oxford, UK.

Department of Statistics and Warwick Manufacturing Group, University of Warwick, Coventry, UK.

出版信息

Nat Neurosci. 2015 Nov;18(11):1565-7. doi: 10.1038/nn.4125. Epub 2015 Sep 28.

Abstract

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.

摘要

在一项将成像数据与人类连接组计划中461名受试者的非成像数据相关联的单一整体多变量分析中,我们研究了个体受试者的功能连接组与280种行为和人口统计学指标之间的关系。我们确定了一种强大的群体共变模式:受试者主要沿着一条单一的“正-负”轴分布,该轴将生活方式、人口统计学和心理测量指标相互连接,并与一种特定的脑连接模式相连。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad04/4625579/293ccf2d7117/emss-64911-f0001.jpg

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