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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