Resting state nuisance regressors remove variance with network structure

Really interesting work from Bright and Murphy. The "highlights":

  • Data variance removed by nuisance regressors contains network structure.
  • Simulated regressors unrelated to noise also extract data with network structure.
  • Random sampling of original data (as few as 10% of volumes) reveals robust networks.
  • After optimal number, motion regressors remove similar variance as simulated ones.
  • Excessive nuisance regressors extract random signal variance with network structure.