Spatial remapping of cortico-striatal connectivity in human: probabilistic tracking-based segmentation

• Main Authors: Chien-Hsun Chen, 陳建勳
• Other Authors: Ching-Po Lin
• Format: Others
• Language: en_US
• Published: 2011
• Online Access: http://ndltd.ncl.edu.tw/handle/18197954645832271157

碩士 === 國立陽明大學 === 生物醫學影像暨放射科學系暨研究所 === 99 === Mapping the human striatum related to physiology in vivo is important, especially for the study of the normal brain function and for understanding the disease process about striatal lesion. In the past studies, radioactive nerve tracing, or multiple cells stain were used to map the function of striatum. However, most of them were to non-human research not to human. Diffusion tensor image can overcome this problem in vivo. Several studies have proved this approach in human thalamus and the corpus callosum. By building the connection between the cortex and the striatum in human, several functional areas of the striatum were established by this method. Fifteen healthy male and fifteen healthy female volunteers were included in this study. Further, diffusion magnetic resonance image and high-resolution T1 image were also collected in each participate. After the data collection, each participate of the striatum, including of the caudate and putamen, was building by using the high-resolution T1 image and then using probabilistic neural tracing technique to define its relevance to the cerebral cortex. Traditionally, probabilistic neural tracing taken the maximum connection of the corresponding cortex to the striatum which was ignore the other cortical relationship in the subregion of the striatum. To visualize the each cortical connection to the striatum, we build the probabilistic map of the striatum in each subject and further test the consistence across the group. Current research findings are similar to the previous results, including of the radioactive trace in nonhuman primates, autopsy subdivision in human and the meta-analysis of the brain function in human. This method can be used to define the neural circuit and measuring the changes in the striatum corresponding to the partition.