Anatomical and functional connectivity analysis using Magnetic Resonance Imaging in Human Connectome Project

  • 李 沂倫

Student thesis: Master's Thesis


Recently the relation among activated human brain regions has drawn interests and has been investigated The imaging technique of functional magnetic resonance imagimg (fMRI) can be used to observe by changes in cerebral blood oxygenation and therefore brain connectivity To understand how white matter (WM) tractography influences brain connectivity we use diffusion magnetic resonance imagimg (dMRI) technique and algorithm to calculate WM map The connectivity measurement combining fMRI and dMRI datasets is called anatomically weighted functional connectivity (awFC) Finally the results show that when using awFC datasets the clusters have higher functional connectivity (FC) and structural connectivity (SC) strength when using awFC datasets
Date of Award2014 Aug 27
Original languageEnglish
SupervisorMing-Long Wu (Supervisor)

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