Changes in topological organization of functional PET brain network with normal aging

• Published in: PloS one 2014-02, Vol.9 (2), p.e88690-e88690
• Main Authors: Liu, Zhiliang, Ke, Lining, Liu, Huafeng, Huang, Wenhua, Hu, Zhenghui
• Format: Article
• Language: English
• Subjects: Adult; Age; Aging; Aging - physiology; Biology; Brain; Brain - physiology; Brain architecture; Brain research; Clustering; Construction methods; Correlation analysis; Degeneration; Efficiency; Female; Functional morphology; Glucose metabolism; Humans; Laboratories; Likelihood Functions; Male; Medical imaging; Medicine; Metabolism; Middle Aged; Nerve Net - physiology; Networks; Neurodegeneration; Neurosciences; Physiology; Positron emission; Positron emission tomography; Scanners; Senescence; Structure-function relationships; Studies; Tomography
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0088690

Recent studies about brain network have suggested that normal aging is associated with alterations in coordinated patterns of the large-scale brain functional and structural systems. However, age-related changes in functional networks constructed via positron emission tomography (PET) data are still barely understood. Here, we constructed functional brain networks composed of 90 regions in younger (mean age 36.5 years) and older (mean age 56.3 years) age groups with PET data. 113 younger and 110 older healthy individuals were separately selected for two age groups, from a physical examination database. Corresponding brain functional networks of the two groups were constructed by thresholding average cerebral glucose metabolism correlation matrices of 90 regions and analysed using graph theoretical approaches. Although both groups showed normal small-world architecture in the PET networks, increased clustering and decreased efficiency were found in older subjects, implying a degeneration process that brain system shifts from a small-world network to regular one along with normal aging. Moreover, normal senescence was related to changed nodal centralities predominantly in association and paralimbic cortex regions, e.g. increasing in orbitofrontal cortex (middle) and decreasing in left hippocampus. Additionally, the older networks were about equally as robust to random failures as younger counterpart, but more vulnerable against targeted attacks. Finally, methods in the construction of the PET networks revealed reasonable robustness. Our findings enhanced the understanding about the topological principles of PET networks and changes related to normal aging.