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Neural substrates of predicting anhedonia symptoms in major depressive disorder via connectome-based modeling.

Tingyu YangYangpan OuHuabing LiFeng LiuPing LiGuangrong XieJingping ZhaoXilong CuiWen-Bin Guo
Published in: CNS neuroscience & therapeutics (2024)
This study successfully established a network model for predicting anhedonia symptoms in MDD based on FC, as well as a classification model to differentiate between melancholic and non-melancholic MDD patients. These findings provide guidance for clinical treatment.
Keyphrases
  • major depressive disorder
  • bipolar disorder
  • end stage renal disease
  • newly diagnosed
  • ejection fraction
  • chronic kidney disease
  • deep learning
  • prognostic factors
  • sleep quality
  • patient reported outcomes