Reduced functional segregation between the default mode network and the executive control network in healthy older adults: A longitudinal study

被引:157
|
作者
Ng, Kwun Kei [1 ]
Lo, June C. [1 ]
Lim, Joseph K. W. [1 ]
Chee, Michael W. L. [1 ]
Zhou, Juan [1 ,2 ]
机构
[1] Duke NUS Med Sch, Neurosci & Behav Disorders Program, Ctr Cognit Neurosci, Singapore, Singapore
[2] Technol & Res & Natl Univ Singapore, Agcy Sci, Clin Imaging Res Ctr, Singapore, Singapore
基金
英国医学研究理事会;
关键词
Functional connectivity; fMRI; Ageing; Longitudinal changes; Functional segregation; AGE-RELATED-CHANGES; MULTIPLE CORTICAL NETWORKS; TEST-RETEST RELIABILITY; RESTING-STATE NETWORKS; WHITE-MATTER; HUMAN BRAIN; COGNITIVE DECLINE; LIFE-SPAN; CONNECTIVITY; MEMORY;
D O I
10.1016/j.neuroimage.2016.03.029
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
The effects of age on functional connectivity (FC) of intrinsic connectivity networks (ICNs) have largely been derived from cross-sectional studies. Far less is known about longitudinal changes in FC and how they relate to ageing-related cognitive decline. We evaluated intra-and inter-network FC in 78 healthy older adults two or three times over a period of 4 years. Using linear mixed modeling we found progressive loss of functional specialization with ageing, evidenced by a decline in intra-network FC within the executive control (ECN) and default mode networks (DMN). In contrast, longitudinal inter-network FC between ECN and DMN showed a u-shaped trajectory whereby functional segregation between these two networks initially increased over time and later decreased as participants aged. The rate of loss in functional segregation between ECN and DMN was associated with ageing-related decline in processing speed. The observed longitudinal FC changes and their associations with processing speed remained after correcting for longitudinal reduction in gray matter volume. These findings help connect ageing-related changes in FC with ageing-related decline in cognitive performance and underscore the value of collecting concurrent longitudinal imaging and behavioral data. (C) 2016 Elsevier Inc. All rights reserved.
引用
收藏
页码:321 / 330
页数:10
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