COURSE CONTENTS


> WELCOME

> CORE 1

Introduction to fcMRI and CONN

> CORE 2

Preprocessing functional & anatomical data

> CORE 3

Setup: importing all data and study details

> CORE 4

Denoising & Quality Control

> CORE 5

First-level analyses: SBC, RRC, gPPI & group-ICA

> CORE 6

Second-level analyses: GLM, designs & examples

> ADVANCED 1

Homework discussion & FC applications

> ADVANCED 2

Cluster-level stats & graph theory

> ADVANCED 3

Voxel-to-voxel, fc-MVPA & dynamic connectivity

> ADVANCED 4

Parallelization options, HPC & scripting

The CORE 5 session presents some of the most commonly used analytical approaches for the estimation of functional connectivity measures from fMRI data. These include univariate and multivariate measures of temporal correlation for the computation of seed-based connectivity maps (SBC) and ROI-to-ROI connectivity matrices (RRC), as well as the use of generalized Psycho-Physiological Interactions models (gPPI) for the analysis of task-based connectivity, and Independent Component Analyses (group-ICA) for the identification of functional networks.Â