def get_timeseries(subject_list, atlas_name):
    '\n        subject_list : list of short subject IDs in string format\n        atlas_name   : the atlas based on which the timeseries are generated e.g. aal, cc200\n\n    returns:\n        ts           : list of timeseries arrays, each of shape (timepoints x regions)\n    '
    ts_files = fetch_filenames(subject_list, ('rois_' + atlas_name))
    ts = []
    for fl in ts_files:
        print(('Reading timeseries file %s' % fl))
        ts.append(np.loadtxt(fl, skiprows=0))
    return ts
subject_list : list of short subject IDs in string format
    atlas_name   : the atlas based on which the timeseries are generated e.g. aal, cc200

returns:
    ts           : list of timeseries arrays, each of shape (timepoints x regions)
def get_timeseries(subject_list, atlas_name):
    '\n        subject_list : list of short subject IDs in string format\n        atlas_name   : the atlas based on which the timeseries are generated e.g. aal, cc200\n\n    returns:\n        ts           : list of timeseries arrays, each of shape (timepoints x regions)\n    '
    ts_files = fetch_filenames(subject_list, ('rois_' + atlas_name))
    ts = []
    for fl in ts_files:
        print(('Reading timeseries file %s' % fl))
        ts.append(np.loadtxt(fl, skiprows=0))
    return ts