68e3699215df53a6bd57675c75d937f2d3a75891,nilearn/datasets/atlas.py,,fetch_atlas_allen_2011,#,787

Before Change

             "RSN_HC_unthresholded_tmaps.nii",
             "rest_hcp_agg__component_ica_.nii"]

    labels = {"Basal Ganglia": [21],
              "Auditory": [17],
              "Sensorimotor": [7, 23, 24, 38, 56, 29],
              "Visual": [46, 64, 67, 48, 39, 59],
              "Default-Mode": [50, 53, 25, 68],
              "Attentional": [34, 60, 52, 72, 71, 55],
              "Frontal": [42, 20, 47, 49],
              }

    filenames = [(f, url + f, opts) for f in files]

    data_dir = _get_dataset_dir(dataset_name, data_dir=data_dir,

After Change

             "RSN_HC_unthresholded_tmaps.nii",
             "rest_hcp_agg__component_ica_.nii"]

    labels = [("Basal Ganglia", [21]),
              ("Auditory", [17]),
              ("Sensorimotor", [7, 23, 24, 38, 56, 29]),
              ("Visual", [46, 64, 67, 48, 39, 59]),
              ("Default-Mode", [50, 53, 25, 68]),
              ("Attentional", [34, 60, 52, 72, 71, 55]),
              ("Frontal", [42, 20, 47, 49])]

    networks = [[name] * len(idxs) for name, idxs in labels]

    filenames = [(f, url + f, opts) for f in files]

    data_dir = _get_dataset_dir(dataset_name, data_dir=data_dir,
                                verbose=verbose)
    sub_files = _fetch_files(data_dir, filenames, resume=resume,
                             verbose=verbose)

    fdescr = _get_dataset_descr(dataset_name)

    params = [("description", fdescr),
              ("rsn_indices", labels),
              ("networks", networks)]
    params.extend(list(zip(keys, sub_files)))

    return Bunch(**dict(params))

Instances