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easily submitted to a variety of group level analyses, including task-based or resting-state
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fMRI, graph theory measures, surface or volume-based statistics, etc.
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- The workflow is based on `Nipype <http ://nipype.readthedocs.io>`_ and encompases a large
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+ The workflow is based on `Nipype <https ://nipype.readthedocs.io>`_ and encompases a large
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set of tools from well-known neuroimaging packages, including
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`FSL <https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/>`_,
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`ANTs <https://stnava.github.io/ANTs/>`_,
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which can help ensure the validity of inference and the interpretability of their results.
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[Pre-print doi:`10.1101/306951 <https://doi.org/10.1101/306951>`_]
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- [Documentation `fmriprep.org <http ://fmriprep.readthedocs.io>`_]
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+ [Documentation `fmriprep.org <https ://fmriprep.readthedocs.io>`_]
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[Software doi:`10.5281/zenodo.852659 <https://doi.org/10.5281/zenodo.852659>`_]
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[Support `neurostars.org <https://neurostars.org/tags/fmriprep>`_]
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"""
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