Group Connectivity Mask

A mask is calculated to identify the cortical regions strongly connected and reproducible among subjects.

Description

Usage example

new_study_name:                  group_studyA

subjects_group:                  /my/path/brainvisa_db/subjects/group_analysis/g1/g1_group.xml

mean_individual_profiles:        '/my/path/brainvisa_db/subjects/001/diffusion/default_acquisition/default_analysis/default_tracking_session/connectivity_parcellation
                                 /avg/studyA/lh.inferiorparietal/clustering/smooth3.0/001_studyA_lh.inferiorparietal_mean_profile_20to500mm.gii'

group_mask:                     /my/path/brainvisa_db/subjects/group_analysis/g1/connectivity_clustering/avg/studyA/lh.inferiorparietal/smooth3.0
                                /g1_avg_studyA_lh.inferiorparietal_mask_20to500mm.gii

Parameters

new_study_name: String ( optional, input )

Optional name given to the group study.
Default to study_name.

subjects_group: Group definition ( input )

The XML file corresponding the subjects group.

mean_individual_profiles: ListOf( Connectivity Profile Texture ) ( input )

List of the mean individual profiles of the given group of subjects.

group_mask: Mask Texture ( output )

The most representative connectivity pattern of a group of subjects.

Technical information

Toolbox : Constellation

User level : 2

Identifier : constel_group_mask

File name : brainvisa/toolboxes/constellation/processes/group_pipeline/tools/constel_group_mask.py

Supported file formats :

subjects_group :

XML, XML

mean_individual_profiles :

GIFTI file, GIFTI file, Texture

group_mask :

GIFTI file, GIFTI file, Texture