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Mind-Brain Association Studies with Mesoscale Connectomics:
Methodology, Reproducibility and Challenges

Xi-Nian ZUO

Institute of Psychology
Chinese Academy of Sciences


Human connectomics has become a central focus in efforts to map complex brain-behavior/mind relationships and identify clinical biomarkers. Because of the desire to characterize inter-individual variation in the connectome, there is a critical need to establish reliability and reproducibility for functional and structural imaging methodologies, as well as identify factors that can impact them. Test-retest reliability and reproducibility are crucial for creating reliable quantitative imaging measures, as various sources of noise are invariably included in all measurements. Previous studies have demonstrated that many ‘noisy variables’ such as machine noise, scanner type, body heat, cardiac and respiration artifacts, head motion, experimental instructions, data pre-/post-processing strategies, and data standardization can impact the reliability and reproducibility of various connectome metrics. To achieve highly reliable and reproducible brain connectomics, researchers across multiple disciplines are required to interactively develop a public, high quality, large sample of test-retest reliability and reproducibility datasets. This talk will survey prior methodology efforts and challenges to establish reliability and reproducibility and introduce a large-scale aggregate multimodal neuroimaging dataset that will be openly shared in 2014.

Short Bio

Xi-Nian Zuo, Ph.D., Full Research Professorship, PI of Laboratory for Functional Connectome and Development, deputy director of Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences. Dr. Zuo has made substantial contributions to establishing the reliability of resting state fMRI and proving its utility for applications. He is currently leading an 1000 Functional Connectomes Project (FCP)-based consortium to assemble and release a multisite test-retest dataset that will include resting state fMRI and structural MRI for over 1000 individuals, as well as, diffusion and arterial spin labeling MRI data, when available. He published more than 50 scientific papers. The full list of publications can be found at

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Last updated: December 14, 2013