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