caps.functional_connectivity.conn.Conn

Conn

class caps.functional_connectivity.conn.Conn(autoexport_nodes_parameters=True, **kwargs)

Conn

Inputs

[Mandatory]

anatomical_dir_name: a string (mandatory) the anatomical directory name

anatomicals: a legal value (mandatory) the anatomical files

data_path: a directory name (mandatory) the path to all subject datasets

functional_dir_name: a string (mandatory) the functional directory name

functionals: a legal value (mandatory) the functional files

nconditions: an integer (mandatory) number of conditons

nsubjects: an integer (mandatory) Number of subjects

raw_anatomical_images: a legal value (mandatory) the anatomical files to spatially preprocess

raw_anatomical_prefix: a string (mandatory) the prefix of the raw anatomical images

raw_functional_images: a legal value (mandatory) the functional files to spatially preprocess

raw_functional_prefixes: a legal value (mandatory) the prefixes of the raw functional imagesassociated to the sessions to include

rois_regresscovariates: a legal value (mandatory) Regress out covariates, default to 1 for more than one dimension extracted

sp_anatomical_prefix: a string (mandatory) the prefix of the spatially preprocessed anatomical images

sp_functional_prefixes: a legal value (mandatory) the prefixes of the spatially preprocessed functional images associated to the sessions to include

steps: a legal value (mandatory) spatial preprocessing steps. Default to all steps: [‘segmentation’,’slicetiming’, ‘realignment’,’coregistration’,’normalization’, ‘smoothing’]

t_r: a float (mandatory) Repetition time (seconds) [2]

[Optional]

Outputs

CSF_masks: any value

White_masks: any value

conn_batch_analysis: a legal value the generated conn batch

conn_batch_results: a legal value the generated conn batch

conn_batch_setup: a legal value the generated conn batch

conn_batch_tpreproc: a legal value the generated conn batch

setup_dict: a legal value dictionary with all conn setup parameters

Pipeline schema