run_model_for_subject[source]
run_model_for_subject(subject_label,bids_dir,mask=None,bold_prep_kwargs=None,preprocess_kwargs=None,estimator=None,encoding_kwargs=None, **kwargs)
Runs voxel-wise encoding model for a single subject and returns Ridges and scores
Parameters
subject_label : the BIDS subject label
bids_dir : the path to the BIDS directory
mask : path to mask file or 'epi' if an epi mask should be computed from the first BOLD run
bold_prep_kwargs : None or dict containing the parameters for preprocessing the BOLD files
everything that is accepted by nilearn's clean function is an acceptable parameter
preprocess_kwargs : None or dict containing the parameters for lagging and aligning fMRI and stimulus
acceptable parameters are ones used by preprocessing.make_X_Y
estimator : None or sklearn-like estimator to use as an encoding model
default uses RidgeCV with individual alpha per target when possible
encoding_kwargs : None or dict containing the parameters for evaluating the encoding model
Valid parameters are the ones accepted by encoding.get_model_plus_scores
kwargs : additional BIDS specific arguments such as task, ses, desc, and recording
Returns list of Ridge regressions, scores per voxel per fold
process_bids_subject[source]
process_bids_subject(subject_label,bids_dir,ses=None,task=None,desc=None,recording=None, **kwargs)
Localizes BOLD files and stimulus files for subject_label in BIDS folder structure
Parameters
subject_label : the BIDS subject label
bids_dir : the path to the BIDS directory
ses : session indicator, optional
task : task indicator, optional
desc : description indicatr, optional
recording : recording indicator, optional
kwargs : additional arguments
Returns tuple of (list of bold files, path to task meta data, list of stimulus tsv files, list of stimulus json files)
get_func_bold_directory[source]
get_func_bold_directory(subject_label,bids_dir, **kwargs)
Returns a path to the directory in which the bold files of the given subject reside
Parameters
subject_label : the BIDS subject label
bids_dir : the path to the BIDS directory
ses : session indicator, optional
kwargs : additional arguments
Returns bold_folder_name