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多模式预测建模:可扩展的成像知情方法来预测未来的大脑健康.

Meenu Ajith1, Jeffrey S Spence2, Sandra B Chapman2

  • 1Tri-Institutional Center for Translational Research in Neuroimaging and Data Science(TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, 55 Park Pl NE, Atlanta, 30303, GA, USA.

Journal of neuroscience methods
|November 28, 2024
PubMed
概括

通过整合神经成像数据,预测未来的大脑健康得到了增强. 使用部分条件变异自编码器 (PCVAE) 的图像辅助方法可以提高未来大脑健康构造的预测准确性.

关键词:
大脑健康 大脑健康连接性的连接性这些因素是因素.有图像辅助的图像.多式联络是多式联络.预测建模的预测建模.俄罗斯-fMRI

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Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
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