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-h, --help |
show this help message and exit |
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--participant_label PARTICIPANT_LABEL |
| | The label of the participant that should be analyzed.
The label corresponds to sub-<participant_label> from
the BIDS spec (so it does not include “sub-“). If this
parameter is not provided all subjects should be
analyzed. Multiple participants can be specified with
a space separated list. |
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--session_label SESSION_LABEL |
| | The label of the session that should be analyzed. The
label corresponds to ses-<session_label> from the BIDS
spec (so it does not include “ses-“). If this
parameter is not provided all sessions within a
subject should be analyzed. |
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--preprocessing_type PREPROCESSING_TYPE |
| | BIDS-apps preprocessing pipeline run on data. Choices
include “HCP” and “fmriprep”. Default: “HCP”. |
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--use_ICA_outputs USE_ICA_OUTPUTS |
| | Use ICA (whether FIX or AROMA) outputs in seed
analysis. Choices include “Y/yes” or “N/no”. Default:
“Yes”. |
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--combine_resting_scans COMBINE_RESTING_SCANS |
| | If multiple of the same resting state BIDS file type
exist should they be combined prior seed analysis?
Choices include “Y/yes” or “N/no”. Default “No”. |
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--smoothing SMOOTHING |
| | What FWHM smoothing (in mm) to apply to final output,
only applies to SBA with dtseries. Default: 4 |
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--seed_handling SEED_HANDLING |
| | Of the ROI/s you have provided do you want to treat
them as together (i.e. averaging ROIs together), or
separate (run separate seed based analyses for each
ROI)? Choices are “together”, or “separate”. Default:
“separate”. |
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--seed_analysis_output SEED_ANALYSIS_OUTPUT |
| | The output of the seed based analysis. Choices are
“dense” (i.e. dtseries.nii) and “parcellated” (i.e.
ptseries.nii)). Default: “parcellated”. |
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--motion_confounds MOTION_CONFOUNDS |
| | What type of motion confounds to use, if any. Note
only works in combination with “–statistic
regression”. Choices are “Movement_Regressors” (motion
rotation angles and translations in mm),
“Movement_Regressors_dt” (detrended motion rotation
angles and translations in mm),
“Movement_Regressors_demean” (demeaned motion rotation
angles and translations in mm) “Movement_RelativeRMS”
(RMS intensity difference of volume N to the reference
volume), “Movement_RelativeRMS_mean” (square of RMS
intensity difference of volume N to the reference
volume), “Movement_AbsoluteRMS” (absolute RMS
intensity difference of volume N to the reference
volume, “Movement_AbsoluteRMS_mean” (square of
absolute RMS intensity difference of volume N to the
reference volume), “dvars” ( RMS intensity difference
of volume N to volume N+1 (see Power et al,
NeuroImage, 59(3), 2012)), “fd” ( frame displacement
(average of rotation and translation parameter
differences - using weighted scaling, as in Power et
al.)) |
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--reg_name REG_NAME |
| | What type of registration do you want to use? Choices
are “MSMAll_2_d40_WRN” and “NONE”. Default:
“MSMAll_2_d40_WRN”. |
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--text_output_format TEXT_OUTPUT_FORMAT |
| | What format should the text output be in? Choices are
“CSV” or “NONE”. Default: “CSV”. |
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--num_cpus NUM_CPUS |
| | How many concurrent CPUs to use. Default: “1”. |
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--statistic STATISTIC |
| | Strategy to calculate functional connectivity. Choices
are “correlation”, and “regression” Default:
“correlation” |