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DOC/STY: Cleanups
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package/niflow/nipype1/examples/dmri_connectivity.py

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* http://db.tt/1vx4vLeP
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Along with `Camino <http://web4.cs.ucl.ac.uk/research/medic/camino/pmwiki/pmwiki.php?n=Main.HomePage>`_,
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`Camino-Trackvis <http://www.nitrc.org/projects/camino-trackvis/>`_, `FSL <http://www.fmrib.ox.ac.uk/fsl/>`_,
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and `Freesurfer <http://surfer.nmr.mgh.harvard.edu/>`_, you must also have the Connectome File Format
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Along with Camino_, Camino2Trackvis_, FSL_, and FreeSurfer_,
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you must also have the Connectome File Format
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library installed as well as the Connectome Mapper.
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These are written by Stephan Gerhard and can be obtained from:

package/niflow/nipype1/examples/dmri_preprocessing.py

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"""
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bias = remove_bias()
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"""
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Connect nodes in workflow
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=========================
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(prep, bias, [('outputnode.out_file', 'inputnode.in_file'),
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('outputnode.out_mask', 'inputnode.in_mask')]),
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(datasource, bias, [('bvals', 'inputnode.in_bval')])])
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"""
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Run the workflow as command line executable
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"""
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if __name__ == '__main__':
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wf.run()
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wf.write_graph()
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"""
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References
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----------
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.. [Jeurissen2014] Jeurissen et al., Multi-tissue constrained spherical deconvolution
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for improved analysis of multi-shell diffusion MRI data.
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NeuroImage 103:411--426. 2014.
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doi:`10.1016/j.neuroimage.2014.07.061
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<https://doi.org/10.1016/j.neuroimage.2014.07.061>`__.
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"""

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