干旱区生态环境知识资源中心(Arid): Prediction of cognitive performance in old age from spatial probability maps of white matter lesions

Arid

DOI	10.18632/aging.102901
	Prediction of cognitive performance in old age from spatial probability maps of white matter lesions
	Zhao, Cui 1,2; Liang, Ying 1,2; Chen, Ting 1,2; Zhong, Yihua 1,2; Li, Xianglong 1,2; Wei, Jing 1,2; Li, Chunlin 1,2; Zhang, Xu 1,2
通讯作者	Zhang, Xu
来源期刊	AGING-US
ISSN	1945-4589
出版年	2020
卷号	12 期号:6 页码:4822-4835
英文摘要	The purposes of this study were to explore the association between cognitive performance and white matter lesions (WMLs), and to investigate whether it is possible to predict cognitive impairment using spatial maps of WMLs. These WML maps were produced for 263 elders from the OASIS-3 dataset, and a relevance vector regression (RVR) model was applied to predict neuropsychological performance based on the maps. The association between the spatial distribution of WMLs and cognitive function was examined using diffusion tensor imaging data. WML burden significantly associated with increasing age (r=0.318, p<0.001) and cognitive decline. Eight of 15 neuropsychological measures could be accurately predicted, and the mini-mental state examination (MMSE) test achieved the highest predictive accuracy (CORR=0.28, p<0.003). WMLs located in bilateral tapetum, posterior corona radiata, and thalamic radiation contributed the most prediction power. Diffusion indexes in these regions associated significantly with cognitive performance (axial diffusivity>radial diffusivity>mean diffusivity>fractional anisotropy). These results show that the combination of the extent and location of WMLs exhibit great potential to serve as a generalizable marker of multidomain neurocognitive decline in the aging population. The results may also shed light on the mechanism underlying white matter changes during the progression of cognitive decline and aging.
英文关键词	white matter lesions (WMLs) cognition machine learning aging
类型	Article
语种	英语
国家	Peoples R China
开放获取类型	Green Published, gold
收录类别	SCI-E
WOS记录号	WOS:000522733300011
WOS关键词	SMALL VESSEL DISEASE ; DATA SET UDS ; ALZHEIMERS-DISEASE ; CEREBROVASCULAR-DISEASE ; VASCULAR DEMENTIA ; HYPERINTENSITIES ; IMPAIRMENT ; DECLINE ; CLASSIFICATION ; SEGMENTATION
WOS类目	Cell Biology ; Geriatrics & Gerontology
WOS研究方向	Cell Biology ; Geriatrics & Gerontology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/313914
作者单位	1.Capital Med Univ, Sch Biomed Engn, Beijing, Peoples R China; 2.Capital Med Univ, Beijing Key Lab Fundamental Res Biomech Clin Appl, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Zhao, Cui,Liang, Ying,Chen, Ting,et al. Prediction of cognitive performance in old age from spatial probability maps of white matter lesions[J],2020,12(6):4822-4835.
APA	Zhao, Cui.,Liang, Ying.,Chen, Ting.,Zhong, Yihua.,Li, Xianglong.,...&Zhang, Xu.(2020).Prediction of cognitive performance in old age from spatial probability maps of white matter lesions.AGING-US,12(6),4822-4835.
MLA	Zhao, Cui,et al."Prediction of cognitive performance in old age from spatial probability maps of white matter lesions".AGING-US 12.6(2020):4822-4835.