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Establishment of structural and functional correspondences of human brain that can be quantitatively encoded and reproduced across different subjects and populations is one of the key issues in brain mapping. As an attempt to address this challenge, our recently developed Dense Individualized and Common Connectivity-based Cortical Landmarks (DICCCOL) system reported 358 connectional landmarks, each...
In the human brain mapping field, virtually most existing fMRI activation detection methods, such as the general linear model (GLM), have assumed that the fMRI signal magnitude should follow the alternations of baseline and task periods. However, our extensive observation shows that different brain regions or networks exhibit quite dissimilar temporal activation patterns. Inspired by this observation,...
Human brain function has been widely believed as a network behavior. However, most previous activation detection methods in the task-based fMRI field were voxel-based, instead of network-based. For instance, the general linear model (GLM) has been widely used to fit the external stimulus curve with the fMRI BOLD signal of each voxel. In this paper, we present a novel network-based activation detection...
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