fetch_preset_parcel_approach#

neurocaps.utils.fetch_preset_parcel_approach(name, n_nodes=None)[source]#

Fetches a Preset “Custom” Parcellation Approach.

Creates a directory in the user home directory named “neurocaps_data” and downloads the parcel_approach (a JSON file) and the associated NifTI image from the Open Science Framework (OSF) if the corresponding files are not present in the directory.

Parameters:

name (str) – Name of the preset “Custom” parcellation approach to fetch. Options are “HCPex”, “4S”, and “Gordon”.
n_nodes (int or None, default=None) –
Currently only relevant to “4S”. Options for the “4S” are: 156, 256, 356, 456, 556, 656, 757, 956, 1056. Defaults to 456 if None.

Note

The 856 node version of “4S” is currently unavailable.

Returns:

dict[Literal[“Custom”], CustomParcelApproach] – A dictionary representing the “Custom” parcellation approach.

Note

Region Mapping: The mapping of regions/networks corresponds to the indices in the “nodes” list not its label ID. So, the first non-background index will be 0.