nilearn.interfaces: Loading components from interfaces

Interfaces for Nilearn.

nilearn.interfaces.bids

The nilearn.interfaces.bids module includes tools to work with BIDS format data.

Functions

get_bids_files(main_path[, file_tag, ...])	Search for files in a BIDS dataset following given constraints.
parse_bids_filename(img_path[, legacy])	Return dictionary with parsed information from file path.
save_glm_to_bids(model, contrasts[, ...])	Save GLM results to BIDS-like files.

nilearn.interfaces.fmriprep

The nilearn.interfaces.fmriprep module includes tools to preprocess neuroimaging data and access fMRIPrep generated confounds.

Functions

load_confounds(img_files[, strategy, ...])	Use confounds from fMRIPrep.
load_confounds_strategy(img_files[, ...])	Use preset strategy to load confounds from fMRIPrep.

nilearn.interfaces.fsl

Functions for working with the FSL library.

Functions

get_design_from_fslmat(fsl_design_matrix_path)

Extract design matrix dataframe from FSL mat file.