Resting-state multi-spectrum functional connectivity networks for identification of mci patients

HIGHLIGHTS

• who: Resting-State Multi-Spectrum Functional Connectivity and colleagues from the Image Display, Enhancement, and Analysis (IDEA) Laboratory, Biomedical Research Imaging Center (BRIC) and Department of Radiology, University of North Carolina atEditor: Yong He, Beijing Normal University, China have published the paper: Resting-State Multi-Spectrum Functional Connectivity Networks for Identification of MCI Patients, in the Journal: (JOURNAL) of May/30,/2012
• what: In this paper a high-dimensional pattern classification framework based on associations between brain regions during is proposed to accurately identify MCI individuals from subjects who experience normal aging. The aim of . . .
  

   

  

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