2013 Fiscal Year Final Research Report
Early diagnosis of Alzheimer's disease by using diffusion tensor
| Project/Area Number |
23591788
|
|---|
| Research Category |
Grant-in-Aid for Scientific Research (C)
|
| Allocation Type | Multi-year Fund |
|---|
| Section | 一般 |
|---|
| Research Field |
Radiation science
|
|---|
| Research Institution | Nara Medical University |
|---|
Principal Investigator |
TAOKA Toshiaki 奈良県立医科大学, 医学部, 准教授 (30305734)
|
|---|
| Co-Investigator(Kenkyū-buntansha) |
KICHIKAWA Kimihiko 奈良県立医科大学, 医学部, 教授 (10161506)
SAKAMOTO Masahiko 奈良県立医科大学, 医学部, 助教 (60592194)
KISHIMOTO Toshifumi 奈良県立医科大学, 医学部, 教授 (60201456)
KIUCHI Kuniaki 奈良県立医科大学, 医学部, 助教 (20398449)
|
|---|
| Project Period (FY) |
2011 – 2013
|
| Keywords | アルツハイマー病 / 拡散テンソル画像 / 大脳辺縁系 / 拡散能 / 拡散異方性 / 認知症 / 拡散テンソルトラクトグラフィー / 鉤状束 |
|---|
| Research Abstract |
The purpose of the current study is to access the feasibility of diffusion tensor data for predicting the prognosis of Alzheimer disease. We evaluated the apparent diffusional coefficient (ADC) and fractional anisotropy (FA) of the uncinate fascicles for the cases in which follow up diffusion tensor study could be achieved for more than two years. We made analysis for correlation between diffusion tensor parameters and the MMSE. We also made analysis for correlation of the changes of these values. FA and ADC of uncinate fascicles showed statistically significant correlation with the MMSE score at the time point of imaging. These parameters also showed correlation with the MMSE score of the next year. FA and ADC of uncinate fascicles can be used in prediction for the severity of Alzheimer disease.
|
Research Products
(24 results)
-
-
-
-
-
-
-
-
[Journal Article] White matter changes in dementia with Lewy bodies and Alzheimer's disease : a tractography-based study2011
Author(s)
Kiuchi K, Morikawa M, Taoka T, Kitamura S, Nagashima T, Makinodan M, Nakagawa K, Fukusumi M, Ikeshita K, Inoue M, Kichikawa K, Kishimoto T
-
Journal Title
J Psychiatr Res
Volume: 45
Pages: 1095-1100
Peer Reviewed
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
