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Predicting suicidality in late-life depression by 3D convolutional neural network and cross-sample entropy analysis of resting-state fMRI.

Chemin LinChih-Mao HuangWei ChangYou-Xun ChangHo-Ling LiuShu-Hang NgHuang-Li LinTatia Mei-Chun LeeShwu-Hua LeeShun-Chi Wu
Published in: Brain and behavior (2024)
Combining CSE analysis and the 3D CNN, several brain regions were found to be associated with suicidality.
Keyphrases
  • resting state
  • convolutional neural network
  • functional connectivity
  • deep learning
  • depressive symptoms
  • sleep quality
  • physical activity
  • multiple sclerosis
  • white matter
  • cerebral ischemia