Connectomics underlying motor functional outcomes in the acute period following stroke

HIGHLIGHTS

• who: Rong Bian from the University, China have published the research: Connectomics underlying motor functional outcomes in the acute period following stroke, in the Journal: (JOURNAL)
• what: Feature extraction Machine learning was used to model the test performance of each participant based on the pairwise functional correlation or structural connectivity between the 379 regions of each individual`s 03 frontiersin.org 10.3389/fnagi.2023.1131415 higher than chance performance of each model counteract any AUC bias, and make it largely irrelevant to the aim of the analysis .
• how: The following data on . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

  If you don't have an account, you can create one here.