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.
