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脑白质与年龄的全脑关联突出了穹窿结构微观结构在大脑老化中的作用。

Brain-wide associations between white matter and age highlight the role of fornix microstructure in brain ageing.

机构信息

Department of Health and Functioning, Western Norway University of Applied Sciences, Bergen, Norway.

NORMENT Centre for Psychosis Research, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Oslo, Norway.

出版信息

Hum Brain Mapp. 2023 Jul;44(10):4101-4119. doi: 10.1002/hbm.26333. Epub 2023 May 17.

DOI:10.1002/hbm.26333
PMID:37195079
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10258541/
Abstract

Unveiling the details of white matter (WM) maturation throughout ageing is a fundamental question for understanding the ageing brain. In an extensive comparison of brain age predictions and age-associations of WM features from different diffusion approaches, we analyzed UK Biobank diffusion magnetic resonance imaging (dMRI) data across midlife and older age (N = 35,749, 44.6-82.8 years of age). Conventional and advanced dMRI approaches were consistent in predicting brain age. WM-age associations indicate a steady microstructure degeneration with increasing age from midlife to older ages. Brain age was estimated best when combining diffusion approaches, showing different aspects of WM contributing to brain age. Fornix was found as the central region for brain age predictions across diffusion approaches in complement to forceps minor as another important region. These regions exhibited a general pattern of positive associations with age for intra axonal water fractions, axial, radial diffusivities, and negative relationships with age for mean diffusivities, fractional anisotropy, kurtosis. We encourage the application of multiple dMRI approaches for detailed insights into WM, and the further investigation of fornix and forceps as potential biomarkers of brain age and ageing.

摘要

揭示大脑老化过程中白质(WM)成熟的细节是理解老化大脑的一个基本问题。在对来自不同扩散方法的脑龄预测和 WM 特征与年龄关联的广泛比较中,我们分析了英国生物库的扩散磁共振成像(dMRI)数据,涵盖了中年和老年(N=35749,年龄 44.6-82.8 岁)。常规和先进的 dMRI 方法在预测脑龄方面是一致的。WM 与年龄的关联表明,从中年到老年,随着年龄的增长,微观结构逐渐退化。当结合扩散方法进行估计时,脑龄估计最佳,显示出不同的 WM 方面对脑龄的贡献。在补充了内侧穹窿作为另一个重要区域之后,穹窿被发现是所有扩散方法进行脑龄预测的核心区域。这些区域表现出与年龄的正相关,与年龄的负相关,与内轴突水分数、轴向扩散率、径向扩散率相关,与平均扩散率、各向异性分数、峰度相关。我们鼓励应用多种 dMRI 方法,以深入了解 WM,并进一步研究穹窿和小内囊作为脑龄和老化的潜在生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b87/10258541/8a4757526de5/HBM-44-4101-g005.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b87/10258541/1291b7065919/HBM-44-4101-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b87/10258541/a4bca8daf3fc/HBM-44-4101-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b87/10258541/643091a67649/HBM-44-4101-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b87/10258541/8a4757526de5/HBM-44-4101-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b87/10258541/d1dd74131132/HBM-44-4101-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b87/10258541/e35a700896aa/HBM-44-4101-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b87/10258541/930c39e8c63c/HBM-44-4101-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b87/10258541/8a9a634a0472/HBM-44-4101-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b87/10258541/90b41dcae646/HBM-44-4101-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b87/10258541/6ec0e497be9d/HBM-44-4101-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b87/10258541/1291b7065919/HBM-44-4101-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b87/10258541/a4bca8daf3fc/HBM-44-4101-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b87/10258541/643091a67649/HBM-44-4101-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b87/10258541/8a4757526de5/HBM-44-4101-g005.jpg

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Brain Commun. 2022 May 9;4(3):fcac119. doi: 10.1093/braincomms/fcac119. eCollection 2022.
3
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4
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5
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6
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7
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Front Aging Neurosci. 2025 May 15;17:1472207. doi: 10.3389/fnagi.2025.1472207. eCollection 2025.
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