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Abstract #3056

Investigating the Coherence between Brain Structural and Functional Networks at Multiple Scales

Hengtai Jan 1 , Shih-Yen Lin 1,2 , Kuan-Hung Cho 3 , Yi-Ping Chao 4 , and Li-Wei Kuo 1

1 Division of Medical Engineering Research, National Health Research Institutes, Zhunan, Miaoli County, Taiwan, 2 Department of Computer Science, National Chiao Tung University, Hsinchu, Taiwan, 3 Institute of Brain Science, National Yang-Ming University, Taipei, Taipei, Taiwan, 4 Department of Computer Science and Information Engineering, Chang Gung University, Kwei-Shan, Taoyuan County, Taiwan

Previous brain network studies have widely reported both structural and functional brain networks show small-world characteristics. However, the strengths of small-worldness may vary due to several factors, such as cortical parcellation number (scale), connectivity measure, and selection of sparsity. The relationship between small-worldness and these factors is still unclear. Therefore, in this study, we aimed to investigate (1) the dependence of small-worldness on the sparsity in either structural or functional networks at multiple scales and (2) the correlation of small-worldness between structural and functional networks. Our results suggest the coherence between functional and structural networks may exist under certain sparsities.

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