Identification of multimodal brain imaging association via a parameter decomposition based sparse multi-view canonical correlation analysis method

HIGHLIGHTS

• who: Jin Zhang from the School of Automation, University, Xi`an, China have published the research: Identification of multimodal brain imaging association via a parameter decomposition based sparse multi-view canonical correlation analysis method, in the Journal: (JOURNAL)
• what: While most existing methods are unqualified in this paper the authors propose a parameter decomposition based sparse multi-view canonical correlation analysis (PDSMCCA) method. The brain imaging data were obtained from the Alzheimer`s Disease Neuroimaging Initiative (ADNI) database (https://u200badni.u200bloni.u200busc.u200bedu). and the primary goal of ADNI is to test whether serial magnetic_resonance . . .
  

   

  

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