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Construction and modeling of structural and functional connectomes from neuroimaging data have shown great promise in elucidating the fundamental architectures of the human brain. In this paper, we present a novel framework to optimize large-scale cortical landmarks by maximizing the structural connectome agreement across a group of subjects and then use group-wise consistent connectome as an effective...
Human connectomes constructed via neuroimaging data offer a comprehensive description of the macro-scale structural connectivity within the brain. Thus quantitative assessment of connectome-scale structural and functional connectivities will not only fundamentally advance our understanding of normal brain organization and function, but also have significant importance to systematically and comprehensively...
Based on the structural connectomes constructed from diffusion tensor imaging (DTI) data, we present a novel framework to discover functional connectomics signatures from resting-state fMRI (R-fMRI) data for the characterization of brain conditions. First, by applying a sliding time window approach, the brain states represented by functional connectomes were automatically divided into temporal quasi-stable...
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