Folded concave penalized learning in identifying multimodal MRI marker for Parkinson's disease.

Journal: Journal of neuroscience methods
Published Date: Apr 19, 2016

Abstract

BACKGROUND: Brain MRI holds promise to gauge different aspects of Parkinson's disease (PD)-related pathological changes. Its analysis, however, is hindered by the high-dimensional nature of the data.

Authors

  • Hongcheng Liu
  • Guangwei Du
    Department of Neurology, Penn State - Milton S. Hershey Medical Center, Hershey, PA.
  • Lijun Zhang
    Department of Paediatric Orthopaedics, Shengjing Hospital of China Medical University, Shenyang, Liaoning Province, China.
  • Mechelle M Lewis
    Department of Neurology, Penn State - Milton S. Hershey Medical Center, Hershey, PA.
  • Xue Wang
    Engineering Research Center of Zebrafish Models for Human Diseases and Drug Screening Biology Institute, Qilu University of Technology (Shandong Academy of Sciences) Jinan China.
  • Tao Yao
    Department of Industrial and Manufacturing Engineering, The Pennsylvania State University, University Park, PA 16802, United States. Electronic address: taoyao@psu.edu.
  • Runze Li
    Department of Statistics, The Pennsylvania State University, University Park, PA 16802, United States. Electronic address: rzli@psu.edu.
  • Xuemei Huang
    School of Chinese Pharmacy, Beijing University of Chinese Medicine, Beijing 102488, China.

Keywords

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