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Putting age-related task activation into large-scale brain networks: A meta-analysis of 114 fMRI studies on healthy aging
Li, Hui-Jie1,2,3; Hou, Xiao-Hui1,2,3,4; Liu, Han-Hui5; Yue, Chun-Lin6; Lu, Guang-Ming7; Zuo, Xi-Nian1,2,3,8
2015-10-01
Source PublicationNEUROSCIENCE AND BIOBEHAVIORAL REVIEWS
ISSN0149-7634
SubtypeReview
Volume57Issue:0Pages:156-174
AbstractNormal aging is associated with cognitive decline and underlying brain dysfunction. Previous studies concentrated less on brain network changes at a systems level. Our goal was to examine these age-related changes of fMRI-derived activation with a common network parcellation of the human brain function, offering a systems-neuroscience perspective of healthy aging. We conducted a series of meta-analyses on a total of 114 studies that included 2035 older adults and 1845 young adults. Voxels showing significant age-related changes in activation were then overlaid onto seven commonly referenced neuronal networks. Older adults present moderate cognitive decline in behavioral performance during fMRI scanning, and hypo-activate the visual network and hyper-activate both the frontoparietal control and default mode networks. The degree of increased activation in frontoparietal network was associated with behavioral performance in older adults. Age-related changes in activation present different network patterns across cognitive domains. The systems neuroscience approach used here may be useful for elucidating the underlying network mechanisms of various brain plasticity processes during healthy aging. (C) 2015 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
KeywordAging Neural Network Default Mode Cognitive Control Connectomics
Indexed BySCI
Language英语
WOS IDWOS:000364271200011
Citation statistics
Cited Times:40[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.psych.ac.cn/handle/311026/15320
Collection中国科学院行为科学重点实验室
Affiliation1.Chinese Acad Sci, Inst Psychol, Key Lab Behav Sci, Beijing 100101, Peoples R China
2.Chinese Acad Sci, Inst Psychol, Magnet Resonance Imaging Res Ctr, Beijing 100101, Peoples R China
3.Chinese Acad Sci, Inst Psychol, Lab Funct Connectome & Development, Beijing 100101, Peoples R China
4.Shanxi Med Univ, Hosp 1, Dept Psychiat, Taiyuan 030001, Peoples R China
5.China Youth Univ Polit Studies, Youth Work Dept, Beijing 100089, Peoples R China
6.Soochow Univ, Inst Sports Med, Suzhou 215006, Peoples R China
7.Nanjing Univ, Sch Med, Dept Med Imaging, Nanjing 210002, Jiangsu, Peoples R China
8.Southwest Univ, Fac Psychol, Chongqing 400715, Peoples R China
Recommended Citation
GB/T 7714
Li, Hui-Jie,Hou, Xiao-Hui,Liu, Han-Hui,et al. Putting age-related task activation into large-scale brain networks: A meta-analysis of 114 fMRI studies on healthy aging[J]. NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS,2015,57(0):156-174.
APA Li, Hui-Jie,Hou, Xiao-Hui,Liu, Han-Hui,Yue, Chun-Lin,Lu, Guang-Ming,&Zuo, Xi-Nian.(2015).Putting age-related task activation into large-scale brain networks: A meta-analysis of 114 fMRI studies on healthy aging.NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS,57(0),156-174.
MLA Li, Hui-Jie,et al."Putting age-related task activation into large-scale brain networks: A meta-analysis of 114 fMRI studies on healthy aging".NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS 57.0(2015):156-174.
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