Topological organization of the human brain functional connectome across the lifespan

Abstract

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.

DOI: 10.1016/j.dcn.2013.11.004

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@article{Cao2014TopologicalOO, title={Topological organization of the human brain functional connectome across the lifespan}, author={Miao Cao and Jinhui Wang and Zheng-jia Dai and Xiao-Yan Cao and Li-Li Jiang and Feng-Mei Fan and Xiao-wei Song and Ming-Rui Xia and Ni Shu and Qi Dong and Michael P. Milham and F. Xavier Castellanos and Xi-Nian Zuo and Yong He}, journal={Developmental Cognitive Neuroscience}, year={2014}, volume={7}, pages={76-93} }