Spatial covariance modeling analysis of hypertension on cognitive aging - 文章详情页

作者：

Lin, Lan (Lin, Lan.) | Wu, Wei-Wei (Wu, Wei-Wei.) | Wu, Shui-Cai (Wu, Shui-Cai.) (学者：吴水才) | Bin, Guang-Yu (Bin, Guang-Yu.)

收录：

EI Scopus

摘要：

It＇s　becoming　increasingly　clear　that　hypertension　(HTN)　is　at　the　root　of　much　cognitive　decline　previously　attributed　to　aging.　Long　before　patients　in　clinical　stroke,　HTN　has　caused　a　certain　degree　of　damage　on　brain　cognitive　function.　In　this　study,　magnetic　resonance　images　(MRI)　of　hypertensive　and　control　group　will　be　first　collected,　then　processed　by　voxel　based　morphology　(VBM),　and　further　studied　with　spatial　covariance　modeling.　Testing　the　effect　of　HTN　on　the　expression　of　the　age-related　gray　matter　pattern　revealed　that　hypertensive　showed　higher　expression　of　age-related　pattern　than　normotensives.　HTN　may　have　an　accelerated　effect　on　normal　cognitive　aging　process.　©　Springer　Science+Business　Media　Dordrecht　2014.

关键词：

Magnetic resonance imaging Magnetic resonance

作者机构：

[ 1 ] [Lin, Lan]College of Life Science and Bioengineering, Beijing University of Technology, Beijing 100124, China
[ 2 ] [Wu, Wei-Wei]College of Life Science and Bioengineering, Beijing University of Technology, Beijing 100124, China
[ 3 ] [Wu, Shui-Cai]College of Life Science and Bioengineering, Beijing University of Technology, Beijing 100124, China
[ 4 ] [Bin, Guang-Yu]College of Life Science and Bioengineering, Beijing University of Technology, Beijing 100124, China

通讯作者信息：

电子邮件地址：

lanlin@bjut.edu.cn

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