title: Non-monotonic reorganization of brain networks with Alzheimer's disease progression.
abstract: BACKGROUND
  Identification of stage-specific changes in brain network of patients with Alzheimer's disease (AD) is critical for rationally designed therapeutics that delays the progression of the disease. However, pathological neural processes and their resulting changes in brain network topology with disease progression are not clearly known.
  
  
  METHODS
  The current study was designed to investigate the alterations in network topology of resting state fMRI among patients in three different clinical dementia rating (CDR) groups (i.e., CDR = 0.5, 1, 2) and amnestic mild cognitive impairment (aMCI) and age-matched healthy subject groups. We constructed density networks from these 5 groups and analyzed their network properties using graph theoretical measures.
  
  
  RESULTS
  The topological properties of AD brain networks differed in a non-monotonic, stage-specific manner. Interestingly, local and global efficiency and betweenness of the network were rather higher in the aMCI and AD (CDR 1) groups than those of prior stage groups. The number, location, and structure of rich-clubs changed dynamically as the disease progressed.
  
  
  CONCLUSIONS
  The alterations in network topology of the brain are quite dynamic with AD progression, and these dynamic changes in network patterns should be considered meticulously for efficient therapeutic interventions of AD.
authors.affiliation: Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology Daejeon, South Korea.
authors.forename: HyoungKyu
authors.initials: H
authors.lastname: Kim
authors.affiliation: Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology Daejeon, South Korea.
authors.forename: Kwangsun
authors.initials: K
authors.lastname: Yoo
authors.affiliation: Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine Seoul, South Korea ; Neuroscience Center, Samsung Medical Center Seoul, South Korea.
authors.forename: Duk L
authors.initials: DL
authors.lastname: Na
authors.affiliation: Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine Seoul, South Korea ; Neuroscience Center, Samsung Medical Center Seoul, South Korea.
authors.forename: Sang Won
authors.initials: SW
authors.lastname: Seo
authors.affiliation: Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology Daejeon, South Korea.
authors.forename: Jaeseung
authors.initials: J
authors.lastname: Jeong
authors.affiliation: Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology Daejeon, South Korea.
authors.forename: Yong
authors.initials: Y
authors.lastname: Jeong
keywords: Alzheimer's disease; complex network; functional connectivity; graph theory; resting state fMRI