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相关概念视频

Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

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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...
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相关实验视频

Updated: May 1, 2026

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance
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使用休息状态功能性MRI预测年龄.

Jose Ramon Chang1, Zai-Fu Yao2,3,4,5, Shulan Hsieh6,7,8

  • 1Department of Mechanical Engineering, National Cheng Kung University, No. 1 University Rd., Tainan, 701, Taiwan.

Neuroinformatics
|February 11, 2024
PubMed
概括
此摘要是机器生成的。

这项研究使用休息状态的功能性MRI来预测大脑年龄,识别异常大脑衰老中的默认模式网络 (DMN) 变化. 这种方法提供了一种新的方式,可以在认知能力下降发生之前选大脑衰老问题.

关键词:
异常的大脑衰老的发生.大脑衰老的老化默认模式的网络模式是默认模式.功能选择 功能选择最小绝对收缩和操作员的选择.休息状态的功能性MRI.

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Acquisition of Resting-State Functional Magnetic Resonance Imaging Data in the Rat
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Acquisition of Resting-State Functional Magnetic Resonance Imaging Data in the Rat

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相关实验视频

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科学领域:

  • 神经科学是一个神经科学.
  • 放射学 放射学是一门学科.
  • 老年学是指老年学的学科.

背景情况:

  • 认知衰老的变化很大,因此对大脑健康的评估至关重要.
  • 大脑年龄,神经健康的标志物,可以不同于时间的年龄,并与死亡率和抑郁症有关.
  • 功能性脑成像提供了比单独的结构方法更深入的了解衰老.

研究的目的:

  • 使用静止状态功能性MRI (rsfMRI) 开发大脑年龄的预测模型.
  • 为了确定与异常大脑衰老相关的神经网络相关性.
  • 建立一个可靠的参考模型来评估成人的大脑健康.

主要方法:

  • 利用了来自176名健康参与者 (18-78岁) 的rsfMRI数据.
  • 采用最小绝对收缩和选择运算符 (LASSO) 来识别39个预测的rsfMRI相关性.
  • 通过删除68个异常值,开发了一个正常参考模型,实现了低预测误差.

主要成果:

  • 开发的模型实现了2.48年的1次遗漏平均绝对误差.
  • 确定了异常衰老预测因素,并与默认模式网络 (DMN) 联系起来.
  • 该模型与现有公布模型相比,显示出更高的准确性.

结论:

  • 这项研究提供了一个准确的模型来预测大脑年龄和查异常衰老.
  • 默认模式网络 (DMN) 在大脑衰老过程中起着重要作用.
  • 这种方法可以在认知障碍明显之前识别大脑衰老问题.