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Abstract #5212

Reproducibility of Human Diffusion Connectomes Generated from Different Atlases: A Multicenter Study

Qiqi Tong1, Hongjian He1, Peipeng Liang2, Ting Gong1, Tianyi Qian3, Yi Sun4, Qiuping Ding1, Chen Li1, Kuncheng Li2, and Jianhui Zhong1

1Center for Brain Imaging Science and Technology, Department of Biomedical Engineering, Zhejiang University, Hangzhou, China, 2Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, China, 3MR Collaboration NE Asia, Siemens Healthcare, Beijing, China, 4MR Collaboration NE Asia, Siemens Healthcare, Shanghai, China

In a multicenter study, high reproducibility among centers is essential. However, the construction of diffusion connectomes requires multiple complex steps. Errors may be easily hidden in the connectome matrix and possible deteriorate the intrinsic neural network analysis. The registration and parcellation based on the brain template are the final steps and are vital to the connectome matrix. A different anatomical and functional image-based atlas may produce variable reproducibility in diffusion connectome matrices. In this work, seven frequently used atlases were compared to test the reproducibility of different templates.

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