Individual‐level brain morphological similarity networks: Current methodologies and applications Cai et al.
Mengjing Cai, Juanwei Ma, Zirui Wang, Yao Zhao, Yijing Zhang, He Wang, Hui Xue, Yayuan Chen, Yujie Zhang, Chunyang Wang, Qiyu Zhao, Kaizhong Xue, Feng Liu
Abstract
Notable progress has been made in the field of brain functional connectome and dMRI-based anatomical connectome, yet relevant research on morphological brain networks started relatively late. Compared with fMRI and dMRI data, sMRI is relatively low cost, easier to use for large-scale studies, and has more consistent image quality. In addition, the sMRI data can provide more accurate information about brain structures, and several studies have found that the morphological data of the human brain contains a large amount of brain connectivity information. In 2005, Mechelli et al. identified signi
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