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Updated: Jan 17, 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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MDFNet:基于结构磁共振成像表示的多维特征融合模型,用于大脑年龄估计.

Chenxiao Zhang1, Pengzhi Nan1, Limei Song2

  • 1School of Computer and Control Engineering, Yantai University, No. 30, Qingquan Road, Laishan District, Yantai City, 264005, Shandong Province, China.

Magma (New York, N.Y.)
|September 18, 2025
PubMed
概括

这项研究引入了一种新的多维特征融合网络 (MDFNet),用于使用结构性核磁共振 (MRI) 准确估计大脑年龄. MDFNet显著改善了阿尔茨海默病患者的大脑年龄差距分析.

关键词:
大脑年龄估计深度学习是一种深度学习.多维特征融合的多维特征融合结构性核磁共振成像 (MRI)

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Magnetic Resonance Imaging01:24

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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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