碩士 / 中原大學 / 生物醫學工程研究所 / 106 / The dendritic spines are the primary recipients of excitatory synaptic input in the brain. Previous research shows that memory and diseases are correlated with dendritic spine morphology. Dendritic spine analysis software is usually very expensive. If we can construct the dendritic spine analysis method for free, it will benefit many researchers. Our semi-auto software, NUUspine, is written based on Matlab, which could define the dendritic spine types according to manually measured dendritic spine head width neck length and total length by Reconstruct software. The data output includes dendritic spine type, density, and area in excel profile. We used NUUspine to discuss the influence of aging and swimming exercise on the changes of memory and dendritic spine morphology. Experimental groups are divided into control without exercise, control with exercise, induced aging without exercise, and induced aging with exercise. We used behavioral test to assess rat aging. Golgi-Cox staining was applied to visualize spines. The dendritic spines on the dendritic branches of granule cell in hippocampal DG and pyramidal neurons in hippocampal CA3, CA1 were analyzed by using NUUspine software. The Morris water maze test showed aging decrease spatial memory. Continuous swimming improved spatial memory. The classify dendritic spines in hippocampal CA1 showed that the number of filopodium type in induced aging without exercise group was more than induced aging with exercise group. The number of mushroom type in induced aging with exercise group was more than induced aging without exercise group. But total number of spines showed no different between groups. Above all, exercise can improve spatial memory and cause dendritic spine morphology turn to mature type. Moreover, we adopted data from a published study to verify the accuracy of NUUspine software, the result from our software showed no difference to the published one. We successfully establish the software which can analyze dendritic spines.
| Identifer | oai:union.ndltd.org:TW/106CYCU5114006 |
| Date | January 2018 |
| Creators | Fu-Hua Yang, 楊富樺 |
| Contributors | Chia-Yi Tseng, Ming-Wei Chao, 曾嘉儀, 招名威 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 97 |
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