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一个深度残留模型用于5D时空网络动态的表征,揭示了精神分裂症中广泛的空间动力学变化

Behnam Kazemivash1,2, Theo G M van Erp3,4, Peter Kochunov5

  • 1Department of Computer Science, Georgia State University, Atlanta, GA, United States.

Frontiers in neuroimaging
|August 9, 2023
PubMed
概括

这项研究揭示了精神分裂症患者大脑网络动态的显著差异. 分析voxel-wise的时空大脑活动突出了独特的模式,这对于理解这种疾病至关重要.

关键词:
大脑的分片化大脑的分片化卷积神经网络是一种卷积神经网络.深度残留模型是一个深度残留模型.精神分裂症是一种精神分裂症.时间空间动态空间动态.

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