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Updated: May 8, 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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使用基于图形的深度模型进行结构连接组分析,用于年龄和痴呆症预测.

Anees Kazi1,2, Jocelyn Mora1, Bruce Fischl1,2

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

bioRxiv : the preprint server for biology
|March 31, 2025
PubMed
概括

我们开发了一种新的图形卷积网络 (GCN) 模型,从大脑连接数据中预测年龄和认知功能. 我们的模型显示,与现有方法相比,年龄预测的准确性有所提高.

关键词:
年龄年龄年龄年龄年龄年龄深度学习是一种深度学习.痴呆症是一种痴呆症.图形卷积网络 (GCN) 是一个图形卷积网络.图形神经网络 (GNN) 是一个神经网络.预测 预测 预测

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相关概念视频

Neural Circuits01:25

Neural Circuits

Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...