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Research
Brain mapping & network analysis for cognitive function
Recent technological advances allow us various imaging tools for brain mapping, a study of the relationship between structure and function in the human brain. Brain mapping can be acquired from the electrical or magnetic signals and through measuring metabolic or hemodynamic activities of the brain. We are using different modalities of neuroimaging techniques including structural magnetic resonance imaging (MRI), resting state fMRI, PET (positron emission tomography), NIRS (near-infrared spectroscopy) and etc. We combine the brain imaging information with cognitive function and establish a network model of cortical functions. Our research is undergoing to better analyze the brain mapping data and network analysis using graph theory. The application of graph theory principles to neuroimaging data offers a powerful approach with which to characterize and quantify the large-scale structural and functional networks of the brain, thereby enabling assessment of both the efficiency of information transfer between different brain regions and the implications of widespread damage or local damage to specific anatomic regions.
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