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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