CASIA OpenIR  > 脑图谱与类脑智能实验室
A neuroimaging biomarker for Individual Brain-Related Abnormalities In Neurodegeneration (IBRAIN): a cross-sectional study
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; Tang, Yi12; Yao, Hongxiang13; Zhou, Bo14; Lu, Jie15; Yu, Chunshui16; Wang, Pan17; Liao, Zhengluan18; Chen, Yan18; Huang, Longjian19; Zhang, Xi14; Han, Ying12,20,21; Li, Shuyu22; Liu, Yong1,2,3
Source PublicationECLINICALMEDICINE
2023-11-01
Volume65Pages:14
Corresponding AuthorLi, Shuyu(shuyuli@bnu.edu.cn) ; Liu, Yong(yongliu@bupt.edu.cn)
AbstractBackground 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/).
KeywordAlzheimer's disease Neuroimaging biomarker Multisite Specific Longitudinal progression
DOI10.1016/j.eclinm.2023.102276
WOS KeywordALZHEIMERS-DISEASE ; DIAGNOSIS ; RISK
Indexed BySCI
Language英语
Funding ProjectScience 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
Funding OrganizationScience 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 Research AreaGeneral & Internal Medicine
WOS SubjectMedicine, General & Internal
WOS IDWOS:001105263400001
PublisherELSEVIER
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/55229
Collection脑图谱与类脑智能实验室
Corresponding AuthorLi, Shuyu; Liu, Yong
Affiliation1.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
11.Beijing Key Lab Biomarker & Translat Res Neurodeg, Beijing, Peoples R China
12.Xuanwu Hosp Capital Med Univ, Dept Neurol, Beijing, Peoples R China
13.Chinese Peoples Liberat Army Gen Hosp, Dept Radiol, Med Ctr 2, Natl Clin Res Ctr Geriatr Dis, Beijing, Peoples R China
14.Chinese Peoples Liberat Army Gen Hosp, Dept Neurol, Med Ctr 2, Natl Clin Res Ctr Geriatr Dis, Beijing, Peoples R China
15.Xuanwu Hosp Capital Med Univ, Dept Radiol, Beijing, Peoples R China
16.Tianjin Med Univ Gen Hosp, Dept Radiol, Tianjin, Peoples R China
17.Tianjin Huanhu Hosp, Dept Neurol, Tianjin, Peoples R China
18.Peoples Hosp Hangzhou Med Coll, Zhejiang Prov Peoples Hosp, Dept Psychiat, Hangzhou, Peoples R China
19.Affiliated Hosp Youjiang Med Univ Nationalities, Baise, Peoples R China
20.Natl Clin Res Ctr Geriatr Disorders, Beijing, Peoples R China
21.Beijing Inst Brain Disorders, Ctr Alzheimers Dis, Beijing, Peoples R China
22.Beijing Normal Univ, State Key Lab Cognit Neurosci & Learning, Beijing, Peoples R China
Recommended Citation
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.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Zhao, Kun]'s Articles
[Chen, Pindong]'s Articles
[Alexander-Bloch, Aaron]'s Articles
Baidu academic
Similar articles in Baidu academic
[Zhao, Kun]'s Articles
[Chen, Pindong]'s Articles
[Alexander-Bloch, Aaron]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Zhao, Kun]'s Articles
[Chen, Pindong]'s Articles
[Alexander-Bloch, Aaron]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.