A brainnetome atlas-based methamphetamine dependence identification using neighborhood component analysis and machine learning on functional mri data

HIGHLIGHTS

• who: Tieqiao Liu and Yanhui Liao from the Central South University, China have published the research: A brainnetome atlas-based methamphetamine dependence identification using neighborhood component analysis and machine learning on functional MRI data, in the Journal: (JOURNAL)
• what: In this approach, differences in neural function can be identified by measuring the connectivity from the BOLD time series between the various regions of the brain. In this study, SVM was implemented in the LIBSVM classification library.
• how: In this study each brain subregion was considered as a node of the functional brain network . . .
  

   

  

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