カミヤ コウヘイ
Kamiya Kohei
神谷 昂平 所属 東邦大学 医学部 医学科(大森病院) 職種 講師 |
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論文種別 | 原著 |
言語種別 | 英語 |
査読の有無 | 査読なし |
表題 | Brain White-Matter Degeneration Due to Aging and Parkinson Disease as Revealed by Double Diffusion Encoding. |
掲載誌名 | 正式名:Frontiers in neuroscience |
巻・号・頁 | 14,pp.584510-584510 |
著者・共著者 | Kouhei Kamiya,Koji Kamagata,Kotaro Ogaki,Taku Hatano,Takashi Ogawa,Haruka Takeshige-Amano,Syo Murata,Christina Andica,Katsutoshi Murata,Thorsten Feiweier,Masaaki Hori,Nobutaka Hattori,Shigeki Aoki |
担当区分 | 筆頭著者 |
発行年月 | 2020/10 |
概要 | Microstructure imaging by means of multidimensional diffusion encoding is increasingly applied in clinical research, with expectations that it yields a parameter that better correlates with clinical disability than current methods based on single diffusion encoding. Under the assumption that diffusion within a voxel can be well described by a collection of diffusion tensors, several parameters of this diffusion tensor distribution can be derived, including mean size, variance of sizes, orientational dispersion, and microscopic anisotropy. The information provided by multidimensional diffusion encoding also enables us to decompose the sources of the conventional fractional anisotropy and mean kurtosis. In this study, we explored the utility of the diffusion tensor distribution approach for characterizing white-matter degeneration in aging andin Parkinson disease by using double diffusion encoding. Data from 23 healthy older subjects and 27 patients with Parkinson disease were analyzed. Advanced age was associated with greater mean size and size variances, as well as smaller microscopic anisotropy. By analyzing the parameters underlying diffusion kurtosis, we found that the reductio |
DOI | 10.3389/fnins.2020.584510 |
PMID | 33177985 |