Topological organization of the human brain functional connectome across the lifespan

被引:344
作者
Cao, Miao [1 ,10 ]
Wang, Jin-Hui [1 ,3 ,4 ]
Dai, Zheng-Jia [1 ,10 ]
Cao, Xiao-Yan [2 ,3 ,4 ]
Jiang, Li-Li [2 ]
Fan, Feng-Mei [2 ,5 ]
Song, Xiao-Wei [6 ]
Xia, Ming-Rui [1 ,10 ]
Shu, Ni [1 ,10 ]
Dong, Qi [1 ,10 ]
Milham, Michael P. [7 ,8 ]
Castellanos, F. Xavier [8 ,9 ]
Zuo, Xi-Nian [2 ,10 ]
He, Yong [1 ,10 ]
机构
[1] Beijing Normal Univ, State Key Lab Cognit Neurosci, Learning & Int Data Grp, McGovern Inst Brain Res, Beijing 100875, Peoples R China
[2] Chinese Acad Sci, Key Lab Behav Sci, Magnet Resonance Imaging Res Ctr, Inst Psychol, Beijing 100101, Peoples R China
[3] Hangzhou Normal Univ, Ctr Cognit & Brain Disorders, Hangzhou 310015, Zhejiang, Peoples R China
[4] Zhejiang Key Lab Res Assessment Cognit Impairment, Hangzhou 310015, Zhejiang, Peoples R China
[5] Beijing Huilongguan Hosp, Psychiat Res Ctr, Beijing 100096, Peoples R China
[6] Chinese Acad Sci, Inst Biophys, Beijing 100101, Peoples R China
[7] Child Mind Inst, Ctr Developing Brain, New York, NY 10022 USA
[8] Nathan S Kline Inst Psychiat Res, Orangeburg, NY 10962 USA
[9] NYU, Langone Med Ctr, Phyllis Green & Randolph Cowen Inst Pediat Neuros, New York, NY 10016 USA
[10] Beijing Normal Univ, Ctr Collaborat & Innovat Brain & Learning Sci, Beijing 100875, Peoples R China
关键词
Functional connectomics; Lifespan trajectory; Rich club; Graph theory; ANTI-CORRELATED NETWORKS; DEFAULT MODE NETWORK; AGE-RELATED-CHANGES; RESTING-STATE FMRI; SMALL-WORLD; MODULAR ORGANIZATION; DISCOVERY SCIENCE; CEREBRAL-CORTEX; GLOBAL SIGNAL; HEAD MOTION;
D O I
10.1016/j.dcn.2013.11.004
中图分类号
B844 [发展心理学(人类心理学)];
学科分类号
040202 ;
摘要
Human brain function undergoes complex transformations across the lifespan. We employed resting-state functional MRI and graph-theory approaches to systematically chart the lifespan trajectory of the topological organization of human whole-brain functional networks in 126 healthy individuals ranging in age from 7 to 85 years. Brain networks were constructed by computing Pearson's correlations in blood-oxygenation-level-dependent temporal fluctuations among 1024 parcellation units followed by graph-based network analyses. We observed that the human brain functional connectome exhibited highly preserved non-random modular and rich club organization over the entire age range studied. Further quantitative analyses revealed linear decreases in modularity and inverted-U shaped trajectories of local efficiency and rich club architecture. Regionally heterogeneous age effects were mainly located in several hubs (e.g., default network, dorsal attention regions). Finally, we observed inverse trajectories of long- and short-distance functional connections, indicating that the reorganization of connectivity concentrates and distributes the brain's functional networks. Our results demonstrate topological changes in the whole-brain functional connectome across nearly the entire human lifespan, providing insights into the neural substrates Underlying individual variations in behavior and cognition. These results have important implications for disease connectomics because they provide a baseline for evaluating network impairments in age-related neuropsychiatric disorders. (C) 2013 The Authors. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:76 / 93
页数:18
相关论文
共 101 条
[71]   The human connectome:: A structural description of the human brain [J].
Sporns, O ;
Tononi, G ;
Kötter, R .
PLOS COMPUTATIONAL BIOLOGY, 2005, 1 (04) :245-251
[72]   Characterization of anatomical and functional connectivity in the brain: A complex networks perspective [J].
Stam, C. J. .
INTERNATIONAL JOURNAL OF PSYCHOPHYSIOLOGY, 2010, 77 (03) :186-194
[73]   Development of functional and structural connectivity within the default mode network in young children [J].
Supekar, Kaustubh ;
Uddin, Lucina Q. ;
Prater, Katherine ;
Amin, Hitha ;
Greicius, Michael D. ;
Menon, Vinod .
NEUROIMAGE, 2010, 52 (01) :290-301
[74]   Development of Large-Scale Functional Brain Networks in Children [J].
Supekar, Kaustubh ;
Musen, Mark ;
Menon, Vinod .
PLOS BIOLOGY, 2009, 7 (07)
[75]   ANALYSIS OF BRAIN AND CEREBROSPINAL-FLUID VOLUMES WITH MR IMAGING - IMPACT ON PET DATA CORRECTION FOR ATROPHY .2. AGING AND ALZHEIMER DEMENTIA [J].
TANNA, NK ;
KOHN, MI ;
HORWICH, DN ;
JOLLES, PR ;
ZIMMERMAN, RA ;
ALVES, WM ;
ALAVI, A .
RADIOLOGY, 1991, 178 (01) :123-130
[76]   Default-mode function and task-induced deactivation have overlapping brain substrates in children [J].
Thomason, Moriah E. ;
Chang, Catherine E. ;
Glover, Gary H. ;
Gabrieli, John D. E. ;
Greicius, Michael D. ;
Gotlib, Ian H. .
NEUROIMAGE, 2008, 41 (04) :1493-1503
[77]   Aging and functional brain networks [J].
Tomasi, D. ;
Volkow, N. D. .
MOLECULAR PSYCHIATRY, 2012, 17 (05) :549-558
[78]   Functional connectivity hubs in the human brain [J].
Tomasi, Dardo ;
Volkow, Nora D. .
NEUROIMAGE, 2011, 57 (03) :908-917
[79]   Dynamic Reconfiguration of Structural and Functional Connectivity Across Core Neurocognitive Brain Networks with Development [J].
Uddin, Lucina Q. ;
Supekar, Kaustubh S. ;
Ryali, Srikanth ;
Menon, Vinod .
JOURNAL OF NEUROSCIENCE, 2011, 31 (50) :18578-18589
[80]   Small-world and scale-free organization of voxel-based resting-state functional connectivity in the human brain [J].
van den Heuvel, M. P. ;
Stam, C. J. ;
Boersma, M. ;
Pol, H. E. Hulshoff .
NEUROIMAGE, 2008, 43 (03) :528-539