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Identification of discriminative neuroimaging markers for patients on hemodialysis with insomnia: a fractional amplitude of low frequency fluctuation-based machine learning analysis.

Ze-Ying WenYue ZhangMeng-Han FengYu-Chi WuCheng-Wei FuKan DengQi-Zhan LinBo Liu
Published in: BMC psychiatry (2023)
Our result highlights that HDWI patients had abnormal neural activities in the right MOG and right cerebellum, which might be potential neural markers for distinguishing HDWI patients from non-insomniacs, providing further support for the pathological mechanism of HDWI.
Keyphrases
  • end stage renal disease
  • chronic kidney disease
  • newly diagnosed
  • machine learning
  • ejection fraction
  • peritoneal dialysis
  • depressive symptoms
  • data analysis