abide_utils.py 文件源码

def get_net_vectors(subject_list, kind, atlas_name="aal"):
    """
        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:
        matrix       : matrix of connectivity vectors (num_subjects x num_connections)
    """

    # This is an alternative implementation
    networks = load_all_networks(subject_list, kind, atlas_name=atlas_name)
    # Get Fisher transformed matrices
    norm_networks = [np.arctanh(mat) for mat in networks]
    # Get upper diagonal indices
    idx = np.triu_indices_from(norm_networks[0], 1)
    # Get vectorised matrices
    vec_networks = [mat[idx] for mat in norm_networks]
    # Each subject should be a row of the matrix
    matrix = np.vstack(vec_networks)

    return matrix