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A neuroimaging biomarker for Individual Brain-Related Abnormalities In Neurodegeneration (IBRAIN): a cross-sectional study

文献类型：期刊论文

作者Zhao, Kun1; Chen, Pindong2,3; Alexander-Bloch, Aaron4,5; Wei, Yongbin1; Dyrba, Martin6; Yang, Fan7; Kang, Xiaopeng2,3; Wang, Dawei8; Fan, Dongsheng9,10,11; Ye, Shan9,10,11
刊名ECLINICALMEDICINE
出版日期2023-11-01
卷号65页码:14
关键词Alzheimer's disease Neuroimaging biomarker Multisite Specific Longitudinal progression
DOI10.1016/j.eclinm.2023.102276
通讯作者Li, Shuyu(shuyuli@bnu.edu.cn) ; Liu, Yong(yongliu@bupt.edu.cn)
英文摘要Background Alzheimer's disease (AD) is a prevalent neurodegenerative disorder that poses a worldwide public health challenge. A neuroimaging biomarker would significantly improve early diagnosis and intervention, ultimately enhancing the quality of life for affected individuals and reducing the burden on healthcare systems. Methods Cross-sectional and longitudinal data (10,099 participants with 13,380 scans) from 12 independent datasets were used in the present study (this study was performed between September 1, 2021 and February 15, 2023). The Individual Brain-Related Abnormalities In Neurodegeneration (IBRAIN) score was developed via integrated regional- and network-based measures under an ensemble machine learning model based on structural MRI data. We systematically assessed whether IBRAIN could be a neuroimaging biomarker for AD. Findings IBRAIN accurately differentiated individuals with AD from NCs (AUC = 0.92) and other neurodegenerative diseases, including Frontotemporal dementia (FTD), Parkinson's disease (PD), Vascular dementia (VaD) and Amyotrophic Lateral Sclerosis (ALS) (AUC = 0.92). IBRAIN was significantly correlated to clinical measures and gene expression, enriched in immune process and protein metabolism. The IBRAIN score exhibited a significant ability to reveal the distinct progression of prodromal AD (i.e., Mild cognitive impairment, MCI) (Hazard Ratio (HR) = 6.52 [95% CI: 4.42-9.62], p <1 x 10(-16)), which offers similar powerful performance with Cerebrospinal Fluid (CSF) A beta (HR = 3.78 [95% CI: 2.63-5.43], p = 2.13 x 10(-14)) and CSF Tau (HR = 3.77 [95% CI: 2.64-5.39], p = 9.53 x 10(-15)) based on the COX and Log-rank test. Notably, the IBRAIN shows comparable sensitivity (beta = -0.70, p < 1 x 10(-16)) in capturing longitudinal changes in individuals with conversion to AD than CSF A beta (beta = -0.26, p = 4.40 x 10(-9)) and CSF Tau (beta = 0.12, p = 1.02 x 10(-5)). Interpretation Our findings suggested that IBRAIN is a biologically relevant, specific, and sensitive neuroimaging biomarker that can serve as a clinical measure to uncover prodromal AD progression. It has strong potential for application in future clinical practice and treatment trials. Copyright (c) 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-NDlicense (http://creativecommons.org/licenses/by-nc-nd/4.0/).
WOS关键词ALZHEIMERS-DISEASE ; DIAGNOSIS ; RISK
资助项目Science and Technology Innovation 2030 Major Projects ; National Natural Science Foundation of China ; Beijing Natural Science Funds ; Fundamental Research Funds for the Central University ; Startup Funds for Talents at Beijing Normal University
WOS研究方向General & Internal Medicine
语种英语
出版者ELSEVIER
WOS记录号WOS:001105263400001
资助机构Science and Technology Innovation 2030 Major Projects ; National Natural Science Foundation of China ; Beijing Natural Science Funds ; Fundamental Research Funds for the Central University ; Startup Funds for Talents at Beijing Normal University
源URL[http://ir.ia.ac.cn/handle/173211/55228]  
专题脑图谱与类脑智能实验室
通讯作者Li, Shuyu; Liu, Yong
作者单位1.Beijing Univ Posts & Telecommun, Sch Artificial Intelligence, Beijing 100876, Peoples R China
2.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing, Peoples R China
3.Chinese Acad Sci, Brainnetome Ctr, Beijing, Peoples R China
4.Univ Penn, Dept Psychiat, Philadelphia, PA 19104 USA
5.Childrens Hosp Philadelphia, Dept Child & Adolescent Psychiat & Behav S, Philadelphia, PA 19104 USA
6.German Ctr Neurodegenerat Dis DZNE, Rostock, Germany
7.Inst Automat, CAS Key Lab Mol Imaging, Beijing, Peoples R China
8.Qilu Hosp Shandong Univ, Dept Radiol, Jinan, Peoples R China
9.Peking Univ Third Hosp, Dept Neurol, Beijing, Peoples R China
10.Peking Univ, Key Lab Neurosci, Natl Hlth Commiss, Minist Educ, Beijing, Peoples R China
推荐引用方式
GB/T 7714		 Zhao, Kun,Chen, Pindong,Alexander-Bloch, Aaron,et al. A neuroimaging biomarker for Individual Brain-Related Abnormalities In Neurodegeneration (IBRAIN): a cross-sectional study[J]. ECLINICALMEDICINE,2023,65:14.
APA Zhao, Kun.,Chen, Pindong.,Alexander-Bloch, Aaron.,Wei, Yongbin.,Dyrba, Martin.,...&Liu, Yong.(2023).A neuroimaging biomarker for Individual Brain-Related Abnormalities In Neurodegeneration (IBRAIN): a cross-sectional study.ECLINICALMEDICINE,65,14.
MLA Zhao, Kun,et al."A neuroimaging biomarker for Individual Brain-Related Abnormalities In Neurodegeneration (IBRAIN): a cross-sectional study".ECLINICALMEDICINE 65(2023):14.

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