Individual T1-weighted/T2-weighted ratio brain networks: Small-worldness, hubs and modular organization

Huijun Wu, Hao Wang () and Linyuan Lü
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Huijun Wu: Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu 611731, P. R. China‡Center for Cognition and Brain Disorders, Hangzhou Normal University, Hangzhou 311121, P. R. China§Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou 311121, P. R. China
Hao Wang: Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu 611731, P. R. China
Linyuan Lü: Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu 611731, P. R. China†Alibaba Research Center for Complexity Sciences, Hangzhou Normal University, Hangzhou 311121, P. R. China

International Journal of Modern Physics C (IJMPC), 2018, vol. 29, issue 05, 1-11

Abstract: Applying network science to investigate the complex systems has become a hot topic. In neuroscience, understanding the architectures of complex brain networks was a vital issue. An enormous amount of evidence had supported the brain was cost/efficiency trade-off with small-worldness, hubness and modular organization through the functional MRI and structural MRI investigations. However, the T1-weighted/T2-weighted (T1w/T2w) ratio brain networks were mostly unexplored. Here, we utilized a KL divergence-based method to construct large-scale individual T1w/T2w ratio brain networks and investigated the underlying topological attributes of these networks. Our results supported that the T1w/T2w ratio brain networks were comprised of small-worldness, an exponentially truncated power–law degree distribution, frontal-parietal hubs and modular organization. Besides, there were significant positive correlations between the network metrics and fluid intelligence. Thus, the T1w/T2w ratio brain networks open a new avenue to understand the human brain and are a necessary supplement for future MRI studies.

Keywords: Brain network; small-worldness; hubs; modules; T1w/T2w ratio (search for similar items in EconPapers)
Date: 2018
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DOI: 10.1142/S0129183118400077

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