def load_all_networks(subject_list, kind, atlas_name='aal'):
    '\n        subject_list : the subject short IDs list\n        kind         : the kind of connectivity to be used, e.g. lasso, partial correlation, correlation\n        atlas_name   : name of the atlas used\n\n    returns:\n        all_networks : list of connectivity matrices (regions x regions)\n    '
    all_networks = []
    for subject in subject_list:
        fl = os.path.join(root_folder, subject, (((((subject + '_') + atlas_name) + '_') + kind) + '.mat'))
        matrix = sio.loadmat(fl)['connectivity']
        if (atlas_name == 'ho'):
            matrix = np.delete(matrix, 82, axis=0)
            matrix = np.delete(matrix, 82, axis=1)
        all_networks.append(matrix)
    return all_networks
subject_list : the subject short IDs list
    kind         : the kind of connectivity to be used, e.g. lasso, partial correlation, correlation
    atlas_name   : name of the atlas used

returns:
    all_networks : list of connectivity matrices (regions x regions)
def load_all_networks(subject_list, kind, atlas_name='aal'):
    '\n        subject_list : the subject short IDs list\n        kind         : the kind of connectivity to be used, e.g. lasso, partial correlation, correlation\n        atlas_name   : name of the atlas used\n\n    returns:\n        all_networks : list of connectivity matrices (regions x regions)\n    '
    all_networks = []
    for subject in subject_list:
        fl = os.path.join(root_folder, subject, (((((subject + '_') + atlas_name) + '_') + kind) + '.mat'))
        matrix = sio.loadmat(fl)['connectivity']
        if (atlas_name == 'ho'):
            matrix = np.delete(matrix, 82, axis=0)
            matrix = np.delete(matrix, 82, axis=1)
        all_networks.append(matrix)
    return all_networks