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使用定量MRI绘制异质区域和组织特定的大脑衰老模式

Xinjie Chen^1,2,3,4, Mario Ocampo-Pineda^1,2,3, Po-Jui Lu^1,2,3

¹Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, 4123 Allschwil, Switzerland.

Brain communications

|February 16, 2026

概括

大脑衰老在不同区域显示出各种微观结构变化. 定量MRI (qMRI) 揭示了大脑衰老模式的后向前和下向上梯度,突出了组织特异性的差异.

科学领域:

神经成像是一种神经成像.
大脑衰老研究研究
量化MRI是指数量化的MRI.

背景情况:

大脑衰老涉及复杂的微观结构变化,影响功能和认知.
定量MRI (qMRI) 对组织特性敏感,有助于区分正常衰老和病理.
了解特定区域的衰老模式对于健康衰老研究至关重要.

研究的目的:

在不同大脑区域和组织类型的定量MRI指标上建模正常衰老的影响.
用多参数qMRI识别特定区域的与年龄相关的差异.
探索大脑衰老模式中的空间梯度.

主要方法:

对293名健康成年人的qMRI数据 (纵向放松率R1,明显横向放松率R2*和定量敏感度映射) 的分析.
应用二次多项式回归来模拟衰老效应,调整性别,教育和认知.
从二次格调中提取峰值年龄,以描述特定区域的衰老.

主要成果:

纵向放松率 (R1) 显示了强大的年龄建模,而R2*和敏感性显示了更高的区域变异性.
观察到高峰年龄的显著区域差异,表明异质的微观结构衰老.
在qMRI指标中,在皮层衰老中发现了一个一致的后向前梯度和白质衰老中的下向上梯度.

结论:

多参数QMRI有效地绘制了大脑中特定区域和组织的衰老模式.
已识别的空间梯度提供了对健康大脑衰老的异质性的洞察.
这项研究支持制定健康衰老研究的规范性数据.

关键词:

年龄建模年龄建模大脑衰老老龄化健康的衰老健康的衰老多参数核磁共振成像规范模型是一种规范模型.

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