Identifying depression disorder using multi-view high-order brain function network derived from electroencephalography signal

HIGHLIGHTS

• who: Yande Ren from the McGill University Health Center, Canada have published the research: Identifying depression disorder using multi-view high-order brain function network derived from electroencephalography signal, in the Journal: (JOURNAL)
• what: In the present study, the authors aim at exploring: how to construct Ho-BFN, capable of reflecting the connection relationship among multiple channels, to further assist in exploring the deep-level connection relationship of the brain; and_(2) to what extent integrating HoBFN and Lo-BFN can improve the accuracy of MDD diagnosis. Based on the above analysis, the authors propose . . .
  

   

  

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