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Recently, it has been shown that structural connectivity patterns derived from diffusion MRI (dMRI) can be used for cortical parcellation and segmentation. However, most previous methods were based on diffusion tractography, which is limited in depicting local profiles, e.g., in regions beneath the cortical sulcal fundi. Instead, in this paper, we propose to derive effective features directly from...
Mapping human brain networks has gained significant interest in the last few years, as it offers novel perspectives on the brain structure and function. However, most previous approaches were dedicated to a single resolution or scale of brain network, though the brain networks are multi-scale in nature. This paper presents a novel approach to constructing multi-scale structural brain networks from...
We present an algorithmic pipeline to assess the dynamics on human brain networks based on multimodal resting state functional magnetic resonance imaging (rsfMRI) and diffusion tensor imaging (DTI) data. We employ white matter fiber density information to parcellate the cerebral cortex into functionally homogenous regions, which are used as nodes to construct functional brain networks. Then, the dynamics...
It is widely believed that the structural connectivity of a brain region largely determines its function. High resolution Diffusion Tensor Imaging (DTI) is now able to image the axonal fibers in vivo and the DTI tractography result provides rich connectivity information. In this paper, a novel method is proposed to employ fiber density information for automatic cortical parcellation based on the premise...
Cortical folding is an essential geometric characteristic of the human cerebral cortex. The cortical folding pattern conveys important information about brain architecture and function. Cortical thickness is another important morphological feature that reflects the size, density, and arrangement of cells in the cortex. Meanwhile, cortical regions are connected by short-distance or long-distance white...
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