Functional Connectivity Background
 

• Bivariate correlation

• Multivariate modeling
  • PCA
  • ICA
  • PLS

 
Functional Connectivity Analysis
 
Seed driven functional connectivity
 
Resting state seed driven functional connectivity
 
Treatment of noise
 
Current debates in the field (respiration/anticorrelations)
 
The CompCor method
 
Software for Functional Connectivity Analysis
 
Functional Network Connectivity (FNC) is a Matlab toolbox which determines temporal relations among components. It takes as its inputs data that have been preprocessed with the Group ICA of fMRI toolbox (GIFT). Use of the FNC package in analyzing "resting state" fMRI data is described here. Both packages can be found here.
 
The Functional Connectivity Toolbox

implements a CompCor strategy for physiological (and other) noise source reduction, first-level General Linear Model for correlation and regression connectivity estimation, and second-level random-effect analyses. The toobox is designed to work with both resting state scans and block designs where rest is another block amongst other conditions.