PNC fMRI n-back volume data (paper: Murtha, Kristin et al., 2022):
linear model: contrast ~ ageAtScan1 + sex + nbackRelMeanRMSMotion + parental_ed + envSES
number of subjects = 1150
number of voxels = 151,227
number of CPU requested = 4
ran on laptop vmware: took 1h (meanwhile a lot of other applications were running)
ModelArray version: PennLINC/ModelArray@9e735b9
Scripts see: https://github.com/PennLINC/ModelArray_tests
PNC fMRI n-back volume data (paper: Murtha, Kristin et al., 2022): linear model: contrast ~ ageAtScan1 + sex + nbackRelMeanRMSMotion + parental_ed + envSES number of subjects = 1150 number of voxels = 151,227 number of CPU requested = 4 ran on laptop vmware: took 1h (meanwhile a lot of other applications were running) ModelArray version: PennLINC/ModelArray@9e735b9 Scripts see: https://github.com/PennLINC/ModelArray_tests