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基于T1加权磁共振成像的阿尔茨海默病和帕金森病脑龄估计

T1-weighted MRI-driven Brain Age Estimation in Alzheimer's Disease and Parkinson's Disease.

作者信息

Beheshti Iman, Mishra Shiwangi, Sone Daichi, Khanna Pritee, Matsuda Hiroshi

机构信息

1Integrative Brain Imaging Center, National Center of Neurology and Psychiatry, Tokyo, Japan.

2PDPM Indian Institute of Information Technology, Design and Manufacturing, Jabalpur, India.

出版信息

Aging Dis. 2020 May 9;11(3):618-628. doi: 10.14336/AD.2019.0617. eCollection 2020 May.

DOI:10.14336/AD.2019.0617
PMID:32489706
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7220281/
Abstract

Neuroimaging-driven brain age estimation has introduced a robust (reliable and heritable) biomarker for detecting and monitoring neurodegenerative diseases. Here, we computed and compared brain age in Alzheimer's disease (AD) and Parkinson's disease (PD) patients using an advanced machine learning procedure involving T1-weighted MRI scans and gray matter (GM) and white matter (WM) models. Brain age estimation frameworks were built using 839 healthy individuals and then the brain estimated age difference (Brain-EAD: chronological age subtracted from brain estimated age) was assessed in a large sample of PD patients (n = 160) and AD patients (n = 129), respectively. The mean Brain-EADs for GM were +9.29 ± 6.43 years for AD patients versus +1.50 ± 6.03 years for PD patients. For WM, the mean Brain-EADs were +8.85 ± 6.62 years for AD patients versus +2.47 ± 5.85 years for PD patients. In addition, PD patients showed a significantly higher WM Brain-EAD than GM Brain-EAD. In a direct comparison between PD and AD patients, we observed significantly higher Brain-EAD values in AD patients for both GM and WM. A comparison of the Brain-EAD between PD and AD patients revealed that AD patients may have a significantly "older-appearing" brain than PD patients.

摘要

神经影像学驱动的脑龄估计引入了一种强大(可靠且可遗传)的生物标志物,用于检测和监测神经退行性疾病。在此,我们使用一种先进的机器学习程序,该程序涉及T1加权磁共振成像扫描以及灰质(GM)和白质(WM)模型,来计算和比较阿尔茨海默病(AD)和帕金森病(PD)患者的脑龄。脑龄估计框架是利用839名健康个体构建的,然后分别在一大群PD患者(n = 160)和AD患者(n = 129)中评估脑估计年龄差(Brain-EAD:脑估计年龄减去实际年龄)。AD患者GM的平均Brain-EAD为+9.29±6.43岁,而PD患者为+1.50±6.03岁。对于WM,AD患者的平均Brain-EAD为+8.85±6.62岁,而PD患者为+2.47±5.85岁。此外,PD患者的WM Brain-EAD显著高于GM Brain-EAD。在PD和AD患者的直接比较中,我们观察到AD患者GM和WM的Brain-EAD值均显著更高。PD和AD患者之间Brain-EAD的比较显示,AD患者的大脑可能比PD患者明显“显得更老”。

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Mol Psychiatry. 2021 Mar;26(3):825-834. doi: 10.1038/s41380-019-0446-9. Epub 2019 Jun 3.
2
The association between "Brain-Age Score" (BAS) and traditional neuropsychological screening tools in Alzheimer's disease.“大脑年龄评分”(BAS)与阿尔茨海默病传统神经心理学筛查工具之间的关联。
Brain Behav. 2018 Aug;8(8):e01020. doi: 10.1002/brb3.1020. Epub 2018 Jun 22.
3
Impact of aging, Alzheimer's disease and Parkinson's disease on the blood-brain barrier transport of therapeutics.
SAGEFusionNet:一种用于脑龄预测的辅助监督图神经网络,作为神经退行性生物标志物
Brain Sci. 2025 Jul 15;15(7):752. doi: 10.3390/brainsci15070752.
4
A predictive model of Parkinsonian brain aging based on brain imaging features.基于脑成像特征的帕金森病脑老化预测模型。
Front Neurol. 2025 Jul 7;16:1584226. doi: 10.3389/fneur.2025.1584226. eCollection 2025.
5
Deep Learning-Based MRI Analysis Reveals Lewy Body Co-Pathology Accelerates Brain Aging in Alzheimer's Disease.基于深度学习的磁共振成像分析显示路易体共病加速阿尔茨海默病的脑老化。
Res Sq. 2025 Jun 26:rs.3.rs-6874970. doi: 10.21203/rs.3.rs-6874970/v1.
6
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7
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8
Regional Brain Aging Disparity Index: Region-Specific Brain Aging State Index for Neurodegenerative Diseases and Chronic Disease Specificity.区域脑老化差异指数:神经退行性疾病和慢性病特异性的区域特异性脑老化状态指数。
Bioengineering (Basel). 2025 Jun 3;12(6):607. doi: 10.3390/bioengineering12060607.
9
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J Gerontol A Biol Sci Med Sci. 2025 Aug 23;80(9). doi: 10.1093/gerona/glaf124.
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Adv Drug Deliv Rev. 2018 Oct;135:62-74. doi: 10.1016/j.addr.2018.04.009. Epub 2018 Apr 14.
4
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Front Aging Neurosci. 2018 Feb 12;10:28. doi: 10.3389/fnagi.2018.00028. eCollection 2018.
5
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6
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9
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Neurobiol Aging. 2017 Aug;56:41-49. doi: 10.1016/j.neurobiolaging.2017.04.006. Epub 2017 Apr 18.
10
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