Resting-State fMRI: Signal of the parahippocampal gyrus in the default-mode network and constructing network templates

• Main Authors: Yu-Sheng Tseng, 曾裕勝
• Other Authors: Teng-Yi Huang
• Format: Others
• Language: en_US
• Published: 2015
• Online Access: http://ndltd.ncl.edu.tw/handle/u22578

博士 === 國立臺灣科技大學 === 電機工程系 === 103 === Previous resting-state functional MRI (fMRI) studies have demonstrated that low-frequency fluctuations of spontaneous neuronal activity in the human brain can be detected using gradient-echo echo-planar imaging (GE-EPI) based on blood oxygenation level-dependent (BOLD) contrast. Several resting-state networks have been identified with their structure and functional features, including somatomotor, auditory, visual, cognitive, frontoparietal, cinguloopercular, dorsal attention, amygdala, and frontotemporal networks as well as the default-mode network (DMN). This thesis is consisted of three major parts: (1) computation system for resting-state fMRI (2) signal loss of the parahippocampal cortex (PHC) (3) constructing a template for resting-state fMRI studies. We built a fully-automatic cloud-computing platform, named MARS, to perform resting-state fMRI analysis. The computation system provides a standardized analysis for the resting-state fMRI data investigated in our group. Among the reported resting-state networks, the DMN is highly reproducible. The results of clinical DMN studies have indicated that disrupted connectivity of posterior cingulate cortex to PHC could account for neuronal disorders such as Alzheimer’s disease (AD). However, PHC activation in the DMN was nearly absent when GE-EPI images were acquired using a 3.0 T MRI scanner. In this thesis, we investigated the signal intensities of GE-EPI images and FC of the DMN by using 3 conventional slice orientations. Finally, we proposed a work-flow to construct a template consisted of 13 networks for resting-state fMRI studies.