{"action":"created","comment":{"url":"https://api.github.com/repos/nilearn/nilearn/pulls/comments/34765748","id":34765748,"diff_hunk":"@@ -102,30 +110,32 @@ list many files with a \"wild-card\": \\*.nii\n    ['dataset/subject1.nii', 'dataset/subject2.nii']\n \n \n-Understanding Neuroimaging data\n+Understanding neuroimaging data\n ===============================\n \n Nifti and Analyze files\n-------------------------\n+-----------------------\n \n .. topic:: **NIfTI and Analyze file structures**\n \n     `NifTi <http://nifti.nimh.nih.gov/>`_ files (or Analyze files) are\n-    the standard way of sharing data in neuroimaging. We may be\n-    interested in the following three main components:\n+    the standard way of sharing data in neuroimaging research.\n+    Three main components are:\n \n      :data:\n-         raw scans bundled in a numpy array: ``data = img.get_data()``\n+         raw scans in form of a numpy array: ``data = img.get_data()``\n      :affine:\n-         gives the correspondance between voxel index and spatial location:\n+         returns the transformation matrix that maps\n+         from voxel indices of the numpy array to actual real-world\n+         locations of the brain:\n          ``affine = img.get_affine()``\n      :header:\n-         informations about the data (slice duration...):\n+         low-level informations about the data (slice duration, etc.):\n          ``header = img.get_header()``\n \n \n-Neuroimaging data can be loaded simply thanks to nibabel_. Once the file is\n-downloaded, a single line is needed to load it.\n+Neuroimaging data can be loaded in a simple way thanks to nibabel_.\n+A nifti file on disk can be loaded by a single 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