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 ADVANCED 4 session discusses parallelization and scripting options in CONN. 

The first section (parallelization) discusses the use of CONN in high-performance computing (HPC) or other cluster/network environments to analyze in parallel datasets containing thousands of subjects' data

The second section (scripting) describes how to perform any processing or analysis step in CONN through the creation of simple batch scripts instead of using CONN's GUI. Scripting options are aimed at facilitating replicability and supporting the creation of automated pipelines. During this session we will create a simple batch script to have CONN automatically import, preprocess, denoise, and analyze a sample of raw functional MRI data. 

This last session also includes time for general Q&A and discussions covering any other topics of interest among students that may have not been possible to address in earlier sessions.