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Abstract #2022

Small-World networks in the human brain revealed by cortical layers from T1 mapping

Long Qian1,2, Xu-yun Wen3, Si-dong Liu4, Wei-qiang Dou1, and Tie-bao Meng5
1MR Research, GE Healthcare, Beijing, China, 21Department of Biomedical Engineering, Peking University, Beijing, China, 3School of Data and Computer Science, Sun Yat-Sen University, Guangzhou, China, 4Department of Clinical Medicine, Faculty of Medicine and Health Sciences, Macquarie University, Sydney, Australia, 5Department of Medical Imaging, Sun Yat-sen University Cancer Center, Guangzhou, China

Our goal is to propose a new approach to construct the brain anatomical connectivity networks using T1 mapping, and verify whether this novel brain network has higher Small-Worldness and efficiency organization. We reviewed the previous studies, and discovered that the cortical layers could be delineated on the basis of myeloarchitecture, while T1 mapping strongly correlated with intro-cortical myelin contents. Hence, it is feasible to quantify the anatomical connectivity using T1 mapping. Our resulted supported our hypothesis and highlighted the higher Small-Worldness and efficiency of this network compared with conventional macroscale cortical morphometry based approach.

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