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A relatively underexplored question in fMRI is whether there are intrinsic differences in terms of signal composition patterns that can effectively characterize and differentiate task-based and resting state fMRI (tfMRI or rsfMRI) signals. In this paper, we propose a novel two-stage sparse representation framework to examine the fundamental difference between tfMRI and rsfMRI signals. In the first...
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...
Localization of functional cortical ROIs (regions of interests) in structural data such as DTI and T1-weighted MRI has significant importance in basic and clinical neuroscience. However, this problem is challenging due to the lack of quantitative mapping between brain structure and function, which relies on both the availability of benchmark training data such as task-based fMRI and effective machine...
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