Dear all,
I'm a beginner of Denoiser, and I find that sometimes Denoiser produces files named "_temp.nii" file (and of course, a "_NR.nii" file), and the number of figures is less (only 2 figures, Corr_matrix_regressors and Design_matrix) than usual.
My data have 3 runs. Usually, Denoiser produces "_NR.nii" file and 8 figures. (All data only were preprocessed by fMRIprep, no further processing)
In addition, sometimes I get an error, but not for all data/runs
jinja2.exceptions.TemplateNotFound:
My script is the following for selecting 3 confounds (Global Signals, CSF, and White_matter from fMRIprep) and Band_Pass (0.01 - 0.1Hz)
python run_denoise.py --col_names global_signal csf white_matter --hp_filter 0.01 --lp_filter 0.1 --out_figure_path $FIG $Nii $TSV $OUT
Does anyone know what makes the results different and how to fix them (if needed)?
Thanks!
Dear all,
I'm a beginner of Denoiser, and I find that sometimes Denoiser produces files named "_temp.nii" file (and of course, a "_NR.nii" file), and the number of figures is less (only 2 figures, Corr_matrix_regressors and Design_matrix) than usual.
My data have 3 runs. Usually, Denoiser produces "_NR.nii" file and 8 figures. (All data only were preprocessed by fMRIprep, no further processing)
In addition, sometimes I get an error, but not for all data/runs
jinja2.exceptions.TemplateNotFound:
My script is the following for selecting 3 confounds (Global Signals, CSF, and White_matter from fMRIprep) and Band_Pass (0.01 - 0.1Hz)
python run_denoise.py --col_names global_signal csf white_matter --hp_filter 0.01 --lp_filter 0.1 --out_figure_path $FIG $Nii $TSV $OUT
Does anyone know what makes the results different and how to fix them (if needed)?
Thanks!