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Updated: Aug 20, 2026

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Published on: November 10, 2015

在未折叠的海马体空间中使用高梯度扩散MRI (dMRI) 量化海马体微观结构的年龄相关变化

Yixin Ma¹, Hansol Lee^1,2, Kwok-Shing Chan¹

¹Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, Massachusetts, USA.

|November 6, 2025

概括

老化的大脑显示,海马体的细胞密度和结构完整性降低,特别是在脑膜和牙状圈. 先进的MRI技术揭示了与记忆衰退相关的微妙的微观结构变化.

科学领域:

神经成像是一种神经成像.
人类衰老研究研究
结构性核磁共振 (MRI) 是一种结构性核磁共振.

背景情况:

海马对于记忆至关重要,并经历与年龄相关的宏观和微观结构变化.
了解这些变化对于理解认知衰老至关重要.

研究的目的:

用先进的扩散核磁共振 (MRI) 研究人类海马体与年龄相关的微观结构变化.
为了将微观结构变化与宏观变化和衰老相关联.

主要方法:

将索马和神经质密度成像 (SANDI) 模型应用于高梯度扩散MRI数据.
利用超分辨率算法和HippUnfold工具箱在展开的海马空间进行分析.
分析了72名19-85岁的健康参与者在3T ConnectomeMRI扫描仪上的数据.

主要成果:

观察到与年龄相关的 soma 分数和 soma 半径的减少,特别是在 subiculum 和 dentate gyrus 中.
发现细胞外扩散率和细胞外分量的增加,表明细胞密度和完整性降低.
在不同年龄段观察到微观结构和宏观海马体指标之间的弱空间相关性.

结论:

SANDI指标提供了超越传统措施对海马微观结构衰老的敏感,互补的见解.
先进的dMRI技术可以检测与年龄相关的海马体微观结构变化.
这些发现有助于理解衰老对记忆和认知的影响.

关键词:

在HippUnfold中使用.这是一个SANDI模型.衰老的衰老衰老的衰老扩散磁力共振成像 (MRI) 扩散河马的微观结构超级分辨率的超级分辨率

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Magnetic Resonance Imaging

Magnetic Resonance Imaging

Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...