COURSE CONTENTS
> COURSE ORGANIZATION
Introduction to fcMRI and CONN
Preprocessing functional & anatomical data
Setup: importing all data and study details
Denoising & Quality Control
First-level analyses: SBC, RRC, gPPI & group-ICA
Second-level analyses: GLM, designs & examples
Homework discussion & FC applications
Cluster-level stats & graph theory
Voxel-to-voxel, fc-MVPA & dynamic connectivity
Parallelization options, HPC & scripting
This program will be conducted using ZOOM, but all of the program materials, including information about setting up your computer beforehand, as well as homework assignments, slides, and videos from the presentations, will be maintained and available in this site.
The workshop is organized in 10 live sessions: core sessions (CORE 1 to CORE 6) covering essential material on functional connectivity analyses and the CONN toolbox, and advanced sessions (ADVANCED 1 to ADVANCED 4) covering advanced topics or analyses in CONN. Check the COURSE CONTENTS section for details about each session.
When the time comes, click on Join Zoom Meeting to attend a session (see course schedule for session times). Each session is 3½ hours long, including typically two short breaks, and it combines presentations, hands-on practice, and open Q&A and discussions related to the session topic. Sessions will be recorded and videos will be available to students for review during the course (and up to four weeks after the course ends).
In addition students are encouraged to post in the Open Questions shared document any additional questions that they would like the faculty to address but which may be too involved to discuss during class hours (those questions will be directly answered in this shared document and/or addressed in some of the following classes when appropriate). There are also Office-Hour segments available for additional questions or support (see course schedule for office-hour days/times).
schematic of CONN workshop course content
Please remember that all of the materials presented in this course are considered intellectual property of Computational Neuroscience Research Lab, S.L. and cannot be copied or shared without explicit permission.