干旱区生态环境知识资源中心(Arid): Risk Prediction of Alzheimer's Disease Conversion in Mild Cognitive Impaired Population Based on Brain Age Estimation

Arid

DOI	10.1109/TNSRE.2023.3247590
	Risk Prediction of Alzheimer's Disease Conversion in Mild Cognitive Impaired Population Based on Brain Age Estimation
	Liu, Weijia; Dong, Qunxi; Sun, Shuting; Shen, Jian; Qian, Kun; Hu, Bin
通讯作者	Dong, QX ; Hu, B
来源期刊	IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
ISSN	1534-4320
EISSN	1558-0210
出版年	2023
卷号	31 页码:2468-2476
英文摘要	Alzheimer's disease (AD) is one of the most common neurodegenerative diseases in the world. To reduce the incidence of AD, it's essential to quantify the AD conversion risk of mild cognitive impaired (MCI) individuals. Here, we propose an AD conversion risk estimation system (CRES), which contains an automated MRI feature extractor, brain age estimation (BAE) module, and AD conversion risk estimation module. The CRES is trained on 634 normal controls (NC) from the public IXI and OASIS cohorts, then it is evaluated on 462 subjects (106 NC, 102 stable MCI (sMCI), 124 progressive MCI (pMCI) and 130 AD) from the ADNI dataset. Experimental results show that the MRI derived age gap (AG, chronological age subtracted from the estimated brain age) significantly distinguish NC, sMCI, pMCI and AD groups with p-value = 0.000017. Considering AG as the primary factor, incorporating gender and Minimum Mental State Examination (MMSE) for more robust Cox multi-variate hazard analysis, we concluded that each additional year in AG is associated with 4.57% greater AD conversion risk for the MCI group. Furthermore, a nomogram was drawn to describe MCI conversion risk at the individual level in the next 1 year, 3 years, 5 years and even 8 years from baseline. This work demonstrates that CRES can estimate AG based on MRI data, evaluate AD conversion risk of the MCI subjects, and identify the individuals with high AD conversion risk, which is valuable for effective intervention and diagnosis within an early period.
英文关键词	Estimation Brain modeling Magnetic resonance imaging Hazards Analytical models Alzheimer's disease Neuroimaging conversion risk prediction brain age cox hazard analysis nomogram
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:001000632400001
WOS关键词	MCI ; EXTRACTION
WOS类目	Engineering, Biomedical ; Rehabilitation
WOS研究方向	Engineering ; Rehabilitation
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/396911
推荐引用方式 GB/T 7714	Liu, Weijia,Dong, Qunxi,Sun, Shuting,et al. Risk Prediction of Alzheimer's Disease Conversion in Mild Cognitive Impaired Population Based on Brain Age Estimation[J],2023,31:2468-2476.
APA	Liu, Weijia,Dong, Qunxi,Sun, Shuting,Shen, Jian,Qian, Kun,&Hu, Bin.(2023).Risk Prediction of Alzheimer's Disease Conversion in Mild Cognitive Impaired Population Based on Brain Age Estimation.IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING,31,2468-2476.
MLA	Liu, Weijia,et al."Risk Prediction of Alzheimer's Disease Conversion in Mild Cognitive Impaired Population Based on Brain Age Estimation".IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING 31(2023):2468-2476.