neuromaps.transforms.civet_to_fslr

neuromaps.transforms.civet_to_fslr(data, target_density='32k', hemi=None, method='linear')[source]

Resample data on CIVET surface to the fsLR surface.

Parameters:

  • data (str or os.PathLike or nib.GiftiImage or tuple) – Input CIVET data to be resampled to fsLR surface

  • target_density ({'4k', '8k', '32k', '164k'}, optional) – Desired density of output fsLR surface. Default: ‘32k’

  • hemi ({'L', 'R'}, optional) – If data is not a tuple this specifies the hemisphere the data are representing. Default: None

  • method ({'nearest', 'linear'}, optional) – Method for resampling. Specify ‘nearest’ if data are label images. Default: ‘linear’

Returns:

resampled – Input data resampled to new surface

Return type:

tuple-of-nib.GiftiImage