rm_nuisance_ICAFIX.ipynb

{
 "worksheets": [
  {
   "cells": [
    {
     "metadata": {},
     "cell_type": "markdown",
     "source": "Regressing nuisance signal from ICAFIX Data\n===========================================\n\nDescription of this data can be found at http://doi.org/10.1016/j.neuroimage.2013.05.039\n"
    },
    {
     "metadata": {},
     "cell_type": "code",
     "input": "import os\nimport site\n# site.addsitedir(os.getcwd() + '/include')\n\nimport numpy as np\nfrom nipype import config, logging\nconfig.update_config({'logging': {#'workflow_level': 'DEBUG',\n                                  'log_directory': os.getcwd(),\n                                  'log_to_file': True}})\nlogging.update_logging(config)\n\nimport nipype.interfaces.base as bs\nimport nipype.interfaces.io as nio\nimport nipype.interfaces.fsl as fsl\nimport nipype.interfaces.utility as util\nimport nipype.pipeline.engine as pe\nimport nipype.algorithms.modelgen as model\nimport nipype.algorithms.misc as misc\n\nimport myinterface as mi",
     "prompt_number": 2,
     "outputs": [],
     "language": "python",
     "trusted": true,
     "collapsed": false
    },
    {
     "metadata": {},
     "cell_type": "markdown",
     "source": "Data file input/output\n----------------------"
    },
    {
     "metadata": {},
     "cell_type": "code",
     "input": "subjids = ['654754','118932','212318','135932','124422',\n           '136833','103414','161731','397760','139637',\n           '151223','298051','117122','414229','118730',\n           '156637','129028']\n\nreps    = [1, 2]\nphases  = ['LR', 'RL']\n\ndatdir = '/home/syoh/Data/hcp/'        # input data\nintdir = 'rm_nuisance_ICAFIX'          # intermediate outputs\noutdir = '/home/syoh/Data/residuals'   # final outputs\n",
     "prompt_number": 3,
     "outputs": [],
     "language": "python",
     "trusted": true,
     "collapsed": false
    },
    {
     "metadata": {},
     "cell_type": "markdown",
     "source": "Run-time settings\n-----------------"
    },
    {
     "metadata": {},
     "cell_type": "code",
     "input": "# ANATICOR OpenMP control\nos.environ[\"OMP_NUM_THREADS\"] = \"10\"            # limit to single processor\n\nfreq_high = 0.15          # High frequency cut-off # 0.1\nfreq_low  = 0.0083        # Low frequency cut-off  # 0.009\nTR = 0.72                 # Data time resolution\n\n## @ANATICOR defaults\n# wm_labels = [2, 7, 41, 46, 251, 252, 253, 254, 255, 16]\n# vt_labels = [4, 43]\n\n# Workflow\nw = pe.Workflow(name=intdir, base_dir = \".\")",
     "prompt_number": 4,
     "outputs": [],
     "language": "python",
     "trusted": true,
     "collapsed": false
    },
    {
     "metadata": {},
     "cell_type": "markdown",
     "source": "ICA-FIX dataset\n---------------\nProcedure for ICA-FIX data processing on page 51 of the [data documentation](http://www.humanconnectome.org/documentation/Q3/Q3_Release_Reference_Manual.pdf).\n\n\n- `rfMRI_REST1_LR_hp2000_clean.nii.gz`: ica-fix volumetric timeseries file\n- `rfMRI_REST2_RL_Physio_log.txt`: physiological data (288 per fmri slice, took 1200 subsamples)\n- `Movement_Regressors.txt`: 12 movement measurements\n * six variables are the motion parameters estimates from a rigid-body transformation\n * The second six variables are temporal derivatives of those motion parameters\n- `Movement_Regressors_dt.txt`: 12 variables derived by\nremoving the mean and linear trend from each variable in `Movement_Regressors.txt`\n- `aparc+aseg.nii.gz`: FreeSurfer output\n- `wmparc.2.nii.gz`: FreeSurfer output\n\n"
    },
    {
     "metadata": {},
     "cell_type": "code",
     "input": "nSubjId = pe.Node(util.IdentityInterface(fields=['a_subjid', 'b_rep', 'c_phase']), name='nSubjId')\nnSubjId.iterables = [('a_subjid', subjids), ('b_rep', reps), ('c_phase', phases)]\n\nnDataSrc = pe.Node(nio.DataGrabber(\n    infields = ['phase', 'rep', 'subjid'],\n    outfields = ['fmri_path', 'physio_path', 'movement_path', 'aparcaseg_path', 'wmparc_path']\n), name = 'nDataSrc')\nnDataSrc.inputs.base_directory = datdir\nnDataSrc.inputs.sort_filelist = False\nnDataSrc.inputs.template = '*'\n\nnDataSrc.inputs.field_template = dict(\n    fmri_path = '%s/MNINonLinear/Results/rfMRI_REST%d_%s/rfMRI_REST%d_%s_hp2000_clean.nii.gz',\n    physio_path = '%s/MNINonLinear/Results/rfMRI_REST%d_%s/Physio_1200.txt',\n    movement_path = '%s/MNINonLinear/Results/rfMRI_REST%d_%s/Movement_Regressors.txt',\n    aparcaseg_path = '%s/MNINonLinear/aparc+aseg.nii.gz',\n    wmparc_path = '%s/MNINonLinear/ROIs/wmparc.2.nii.gz'\n)\nnDataSrc.inputs.template_args = dict(\n    fmri_path = [['subjid', 'rep', 'phase', 'rep', 'phase']],\n    physio_path = [['subjid', 'rep', 'phase']],\n    movement_path = [['subjid', 'rep', 'phase']],\n    aparcaseg_path = [['subjid']],\n    wmparc_path = [['subjid']]\n)",
     "prompt_number": 5,
     "outputs": [],
     "language": "python",
     "trusted": true,
     "collapsed": false
    },
    {
     "metadata": {},
     "cell_type": "code",
     "input": "def ProcReg(physio, movement):\n    import os\n    from nipype.utils.filemanip import split_filename\n    import numpy as np\n\n    motion_file = \"motion.1D\"\n    nuisance_file = \"nuisance.1D\"\n\n    f = open(movement)\n    mv = np.loadtxt(f)\n    np.savetxt(motion_file, mv[:,0:6], delimiter=\" \")\n\n    f = open(physio)\n    ph = np.loadtxt(f)\n    nph = np.concatenate((mv[:,6:12], ph[:,2:3]), axis=1)\n    np.savetxt(nuisance_file, nph, delimiter=\" \")\n\n    return os.path.abspath(motion_file), os.path.abspath(nuisance_file)\n\nnProcReg = pe.Node(util.Function(input_names=['physio', 'movement'],\n                                 output_names=['motion', 'nuisance'],\n                                 function=ProcReg), name='nProcReg')",
     "prompt_number": 6,
     "outputs": [],
     "language": "python",
     "trusted": true,
     "collapsed": false
    },
    {
     "metadata": {},
     "cell_type": "code",
     "input": "nGunzip = pe.Node(misc.Gunzip(), name='nGunzip')\nnSetMNI = pe.Node(mi.SetNiftiHeader(), name='nSetMNI')\nnSetMNI.inputs.disp_hdr = False\nnSetMNI.inputs.mod_field = {'qform_code':4, 'sform_code':4}\nnSetMNI.inputs.mod_hdr = True",
     "prompt_number": 7,
     "outputs": [],
     "language": "python",
     "trusted": true,
     "collapsed": false
    },
    {
     "metadata": {},
     "cell_type": "code",
     "input": "nNuisanceReg = pe.Node(mi.ANATICOR(), name='nNuisanceReg')\nnNuisanceReg.inputs.polort = 4\nnNuisanceReg.inputs.prefix = \"resid4d_icafix.nii.gz\"\nnNuisanceReg.inputs.verb = True\nnNuisanceReg.inputs.echo = True\nnNuisanceReg.inputs.dirty = True\nnNuisanceReg.inputs.view = \"+tlrc\"",
     "prompt_number": 8,
     "outputs": [],
     "language": "python",
     "trusted": true,
     "collapsed": false
    },
    {
     "metadata": {},
     "cell_type": "code",
     "input": "# Bandpass filter the data\nnBandpass = pe.Node(fsl.TemporalFilter(), name='bandpassfilter')\nif freq_low < 0:\n    nBandpass.inputs.highpass_sigma = -1\nelse:\n    nBandpass.inputs.highpass_sigma = 1. / (2 * TR * freq_low)\nif freq_high < 0:\n    nBandpass.inputs.lowpass_sigma = -1\nelse:\n    nBandpass.inputs.lowpass_sigma = 1. / (2 * TR * freq_high)",
     "prompt_number": 9,
     "outputs": [],
     "language": "python",
     "trusted": true,
     "collapsed": false
    },
    {
     "metadata": {},
     "cell_type": "code",
     "input": "# create gray-matter mask\nnGMmask = pe.Node(fsl.maths.MathsCommand(), name='nGMmask')\nnGMmask.inputs.args = \"-thr 1000 -uthr 3000 -bin\"\n# mask final data\nnGMget = pe.Node(fsl.ApplyMask(), name='nGMget')",
     "prompt_number": 10,
     "outputs": [],
     "language": "python",
     "trusted": true,
     "collapsed": false
    },
    {
     "metadata": {},
     "cell_type": "code",
     "input": "w.connect([(nSubjId, nDataSrc, [('a_subjid', 'subjid'),\n                                ('b_rep', 'rep'),\n                                ('c_phase', 'phase')])])\n\nw.connect([(nDataSrc, nProcReg, [('physio_path', 'physio'),\n                                 ('movement_path', 'movement')])])\n\nw.connect([(nDataSrc, nGunzip, [('aparcaseg_path', 'in_file')])])\nw.connect([(nGunzip, nSetMNI, [('out_file', 'infile')])])\n\nw.connect([(nDataSrc, nNuisanceReg, [('fmri_path', 'ts')])])\nw.connect([(nProcReg, nNuisanceReg, [('motion', 'motion')])])\nw.connect([(nProcReg, nNuisanceReg, [('nuisance', 'nuisance')])])\nw.connect([(nSetMNI, nNuisanceReg, [('out_file', 'aseg')])])\n\nnDataSink = pe.Node(nio.DataSink(), name='sinker')\nnDataSink.inputs.regexp_substitutions = [\n    (os.getcwd(), outdir),\n    ('sinker/residual/_a_subjid_[0-9]{6}_b_rep_[12]_c_phase_[LR]{2}/',''),\n    ('_a_subjid_', ''),\n    ('_b_rep_', '/MNINonLinear/Results/rfMRI_REST'),\n    ('_c_phase_', '_'),\n    (intdir+'/', '')]\n\nw.connect([(nNuisanceReg, nBandpass, [('out_file', 'in_file')])])\nw.connect([(nDataSrc, nGMmask, [('wmparc_path', 'in_file')])])\nw.connect([(nGMmask, nGMget, [('out_file', 'mask_file')])])\nw.connect([(nBandpass, nGMget, [('out_file', 'in_file')])])\nw.connect([(nGMget, nDataSink, [('out_file', 'residual')])])",
     "prompt_number": 11,
     "outputs": [],
     "language": "python",
     "trusted": true,
     "collapsed": false
    },
    {
     "metadata": {},
     "cell_type": "code",
     "input": "w.write_graph(graph2use='flat')\nfrom IPython.display import Image\nImage(filename=intdir+\"/graph.dot.png\")",
     "prompt_number": 13,
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": "INFO:workflow:Creating detailed dot file: /home/syoh/Projects/preprocessing/rm_nuisance_ICAFIX/graph_detailed.dot\n"
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": "INFO:workflow:Creating dot file: /home/syoh/Projects/preprocessing/rm_nuisance_ICAFIX/graph.dot\n"
      },
      {
       "output_type": "pyout",
       "prompt_number": 13,
       "metadata": {},
       "png": 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aqJZBiEpNxYvuhaiy9u7dq+jo6Chbtmwp92MvWbJEARRA+eyzz5SUlBRl4cKF2mXTpk1T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\nRG7gDeCWp0MQERER/W3+A4SL1It9wz37AAAAAElFTkSuQmCC\n",
       "text": "<IPython.core.display.Image at 0x7f61cdcb5bd0>"
      }
     ],
     "language": "python",
     "trusted": true,
     "collapsed": false
    },
    {
     "metadata": {},
     "cell_type": "code",
     "input": "result = w.run()\n# w.run(plugin='MultiProc', plugin_args={'n_procs' : 5})\n# result = w.run(plugin='IPython')",
     "outputs": [],
     "language": "python",
     "trusted": true,
     "collapsed": false
    },
    {
     "metadata": {},
     "cell_type": "code",
     "input": "",
     "outputs": [],
     "language": "python",
     "trusted": true,
     "collapsed": false
    }
   ],
   "metadata": {}
  }
 ],
 "metadata": {
  "name": "",
  "signature": "sha256:e2a5f0c2208c275188ae73b8c96d2151c9b84af13eab6b92ff47c98e22004c74"
 },
 "nbformat": 3
}