glob.glob(curdir + '/*' +
curfunc.split('task-')[1].split('_')[0] + '*' +
curfunc.split('run-')[1].split('_')[0] + '*' +
'*AROMAnoiseICs.csv')[0],
delimiter=',').astype('int'))
if (not os.path.isfile(outfile) or
overwrite) or (not os.path.isfile(tmpAROMA) and overwrite):
FilterRegressor(
design_file=glob.glob(
curdir + '/*' +
curfunc.split('task-')[1].split('_')[0] + '*' +
curfunc.split('run-')[1].split('_')[0] + '*' +
'*MELODIC*.tsv')[0],
filter_columns=list(
np.loadtxt(
glob.glob(curdir + '/*' +
curfunc.split('task-')[1].split('_')[0] +
'*' +
curfunc.split('run-')[1].split('_')[0] +
'*' + '*AROMAnoiseICs.csv')[0],
delimiter=',').astype('int')),
in_file=curfunc,
mask=curmask,
out_file=tmpAROMA).run()
if not os.path.isfile(tmpAROMAconf):
if not os.path.isfile(tmpAROMAwm) or not os.path.isfile(
tmpAROMAcsf):
from nipype.interfaces.fsl.maths import Threshold
from nipype.interfaces.fsl.utils import ImageMeants
Threshold(
in_file=cursegm,
