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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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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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. |
format | Online Article Text |
id | pubmed-10632687 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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