Application of advanced machine learning methods on resting-state fMRI network for identification of mild cognitive impairment and Alzheimer’s disease

@article{Khazaee2015ApplicationOA,
  title={Application of advanced machine learning methods on resting-state fMRI network for identification of mild cognitive impairment and Alzheimer’s disease},
  author={Ali Khazaee and Ataollah Ebrahimzadeh and Abbas Babajani-Feremi},
  journal={Brain Imaging and Behavior},
  year={2015},
  volume={10},
  pages={799-817}
}
The study of brain networks by resting-state functional magnetic resonance imaging (rs-fMRI) is a promising method for identifying patients with dementia from healthy controls (HC). Using graph theory, different aspects of the brain network can be efficiently characterized by calculating measures of integration and segregation. In this study, we combined a graph theoretical approach with advanced machine learning methods to study the brain network in 89 patients with mild cognitive impairment… CONTINUE READING
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