Module connectome.preprocessing.colnames_to_yeo7

simple helper functions to create mappings for the column names of different brain atlases and regions

Functions

def colnames_to_yeo_7(colnames: list, order: bool = True) ‑> list

takes a list of colnames in the brainnetome format/naming and converts them to yeo_7 regions

Examples:

>>> print(colnames_to_yeo_7(["108_110", "1_2", "200_218", "148_140"]))
>>> print(colnames_to_yeo_7(["108_110", "1_2", "200_218", "148_140"], order=False))

Args

colnames

list of the brainnetome colnames

order

whether the resulting colnames should be ordered

Returns

list of yeo_7 converted colnames

def get_colnames_df(df: bool = True) ‑> Union[pandas.core.frame.DataFrame, dict]

generates a DataFrame or Dictionary which maps from the brainnetome (246x246) connectivity column names to the yeo_7 network column names

Examples:

>>> print(get_colnames_df())
>>> print(get_colnames_df(False))

Args

df

whether to return the column name mappings as a DataFrame

Returns

a DataFrame or dictionary containing the column name mappings