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Multi-dimensional persistent feature analysis identifies connectivity patterns of resting-state brain networks in Alzheimer's disease.

Jin LiChenyuan BianHaoran LuoDandan ChenLuolong CaoHong Liang
Published in: Journal of neural engineering (2020)
This work represents a conceptual bridge linking complex brain network analysis and computational topology. Our results can be beneficial for providing a complementary objective opinion to the clinical diagnosis of neurodegenerative diseases.
Keyphrases
  • resting state
  • functional connectivity
  • network analysis
  • machine learning
  • deep learning
  • cognitive decline
  • white matter
  • mild cognitive impairment
  • neural network