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

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 th...

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Autores principales: Zhao, Kun, Chen, Pindong, Alexander-Bloch, Aaron, Wei, Yongbin, Dyrba, Martin, Yang, Fan, Kang, Xiaopeng, Wang, Dawei, Fan, Dongsheng, Ye, Shan, Tang, Yi, Yao, Hongxiang, Zhou, Bo, Lu, Jie, Yu, Chunshui, Wang, Pan, Liao, Zhengluan, Chen, Yan, Huang, Longjian, Zhang, Xi, Han, Ying, Li, Shuyu, Liu, Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10632687/
https://www.ncbi.nlm.nih.gov/pubmed/37954904
http://dx.doi.org/10.1016/j.eclinm.2023.102276
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author Zhao, Kun
Chen, Pindong
Alexander-Bloch, Aaron
Wei, Yongbin
Dyrba, Martin
Yang, Fan
Kang, Xiaopeng
Wang, Dawei
Fan, Dongsheng
Ye, Shan
Tang, Yi
Yao, Hongxiang
Zhou, Bo
Lu, Jie
Yu, Chunshui
Wang, Pan
Liao, Zhengluan
Chen, Yan
Huang, Longjian
Zhang, Xi
Han, Ying
Li, Shuyu
Liu, Yong
author_facet Zhao, Kun
Chen, Pindong
Alexander-Bloch, Aaron
Wei, Yongbin
Dyrba, Martin
Yang, Fan
Kang, Xiaopeng
Wang, Dawei
Fan, Dongsheng
Ye, Shan
Tang, Yi
Yao, Hongxiang
Zhou, Bo
Lu, Jie
Yu, Chunshui
Wang, Pan
Liao, Zhengluan
Chen, Yan
Huang, Longjian
Zhang, Xi
Han, Ying
Li, Shuyu
Liu, Yong
author_sort Zhao, Kun
collection PubMed
description 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 × 10(−16)), which offers similar powerful performance with Cerebrospinal Fluid (CSF) Aβ (HR = 3.78 [95% CI: 2.63∼5.43], p = 2.13 × 10(−14)) and CSF Tau (HR = 3.77 [95% CI: 2.64∼5.39], p = 9.53 × 10(−15)) based on the COX and Log-rank test. Notably, the IBRAIN shows comparable sensitivity (beta = −0.70, p < 1 × 10(−16)) in capturing longitudinal changes in individuals with conversion to AD than CSF Aβ (beta = −0.26, p = 4.40 × 10(−9)) and CSF Tau (beta = 0.12, p = 1.02 × 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. FUNDING: Science and Technology Innovation 2030 Major Projects, the 10.13039/501100001809National Natural Science Foundation of China, Beijing Natural Science Funds, the Fundamental Research Funds for the 10.13039/100007231Central10.13039/100007231University, and the Startup Funds for Talents at 10.13039/501100002726Beijing Normal University.
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spelling pubmed-106326872023-11-10 A neuroimaging biomarker for Individual Brain-Related Abnormalities In Neurodegeneration (IBRAIN): a cross-sectional study Zhao, Kun Chen, Pindong Alexander-Bloch, Aaron Wei, Yongbin Dyrba, Martin Yang, Fan Kang, Xiaopeng Wang, Dawei Fan, Dongsheng Ye, Shan Tang, Yi Yao, Hongxiang Zhou, Bo Lu, Jie Yu, Chunshui Wang, Pan Liao, Zhengluan Chen, Yan Huang, Longjian Zhang, Xi Han, Ying Li, Shuyu Liu, Yong eClinicalMedicine Articles 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 × 10(−16)), which offers similar powerful performance with Cerebrospinal Fluid (CSF) Aβ (HR = 3.78 [95% CI: 2.63∼5.43], p = 2.13 × 10(−14)) and CSF Tau (HR = 3.77 [95% CI: 2.64∼5.39], p = 9.53 × 10(−15)) based on the COX and Log-rank test. Notably, the IBRAIN shows comparable sensitivity (beta = −0.70, p < 1 × 10(−16)) in capturing longitudinal changes in individuals with conversion to AD than CSF Aβ (beta = −0.26, p = 4.40 × 10(−9)) and CSF Tau (beta = 0.12, p = 1.02 × 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. FUNDING: Science and Technology Innovation 2030 Major Projects, the 10.13039/501100001809National Natural Science Foundation of China, Beijing Natural Science Funds, the Fundamental Research Funds for the 10.13039/100007231Central10.13039/100007231University, and the Startup Funds for Talents at 10.13039/501100002726Beijing Normal University. Elsevier 2023-10-26 /pmc/articles/PMC10632687/ /pubmed/37954904 http://dx.doi.org/10.1016/j.eclinm.2023.102276 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Articles
Zhao, Kun
Chen, Pindong
Alexander-Bloch, Aaron
Wei, Yongbin
Dyrba, Martin
Yang, Fan
Kang, Xiaopeng
Wang, Dawei
Fan, Dongsheng
Ye, Shan
Tang, Yi
Yao, Hongxiang
Zhou, Bo
Lu, Jie
Yu, Chunshui
Wang, Pan
Liao, Zhengluan
Chen, Yan
Huang, Longjian
Zhang, Xi
Han, Ying
Li, Shuyu
Liu, Yong
A neuroimaging biomarker for Individual Brain-Related Abnormalities In Neurodegeneration (IBRAIN): a cross-sectional study
title A neuroimaging biomarker for Individual Brain-Related Abnormalities In Neurodegeneration (IBRAIN): a cross-sectional study
title_full A neuroimaging biomarker for Individual Brain-Related Abnormalities In Neurodegeneration (IBRAIN): a cross-sectional study
title_fullStr A neuroimaging biomarker for Individual Brain-Related Abnormalities In Neurodegeneration (IBRAIN): a cross-sectional study
title_full_unstemmed A neuroimaging biomarker for Individual Brain-Related Abnormalities In Neurodegeneration (IBRAIN): a cross-sectional study
title_short A neuroimaging biomarker for Individual Brain-Related Abnormalities In Neurodegeneration (IBRAIN): a cross-sectional study
title_sort neuroimaging biomarker for individual brain-related abnormalities in neurodegeneration (ibrain): a cross-sectional study
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10632687/
https://www.ncbi.nlm.nih.gov/pubmed/37954904
http://dx.doi.org/10.1016/j.eclinm.2023.102276
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