• VirtualCourse

Virtual FreeSurfer Course

The virtual FreeSurfer course is scheduled for June 21st, 22nd & 27th, 2023. Note: These are not two consecutive dates. This is a two day course that offers a basic introduction to FreeSurfer. A FreeSurfer Virtual Machine (VM) will be provided to course participants so that they can easily work with FreeSurfer and practice data during the course. Before registering, review the tentative schedule to make sure it will work for you and review the technical requirements to be sure your computer can run the course software. You will be required to verify your computer can properly host the course software by May 22nd in order to stay enrolled in the course. If your computer cannot run the course materials, your course registration will be cancelled and a full refund issued to you.

Registration is now open for the June 2023 Virtual FreeSurfer Course! Click here to register!

Computer verification deadline: May 22nd, 2023

If you have a specific question about the FreeSurfer courses that was not answered by this website and our FAQ or would like to host a course in your area, you can email one of the course organizers (fscourse AT nmr.mgh.harvard.edu).

Course Details

Click on any of the topics below for more information:
Overview
Technical Requirements
Schedule
Payment
FAQ
Topics Covered During the Course

Overview

The two day course consists of talks and tutorials that run throughout the day. Attendees are expected to attend all talks and tutorials.

This course will cover the basics of using FreeSurfer, including how to process subjects through the FreeSurfer pipeline, how to inspect processed data for accuracy, how to intervene if results are inaccurate, and how to conduct various analyses including group analysis, ROI analysis, and longitudinal analysis. Lectures & virtual meetings will be hosted on gather.town while tutorials will be accessible via Virtual Machine (VM). A tentative schedule is below.

Technical Requirements

Prior to the course, attendees will be provided with instructions on how to download & install the VM software package and course data necessary to participate in the course. These downloads require 64GB of free storage space on your computer or an external hard drive. The computer also needs to have a minimum of 16GB of RAM (total) to function properly while working with the course data during tutorials. There are additional technical requirements listed here which must be checked prior to registering for the course. The VM may not work on all computers (including the newer Mac laptops). You will be required to verify your computer can properly host the course software by the deadline (May 22nd, 2023) in order to stay enrolled in the course. If your computer cannot run the course materials, your course registration will be cancelled and a full refund issued to you. See the payment section below for more details on cancellations and refunds. A strong internet connection is a must for the best workshop experience.

Schedule

WARNING: The hyperlinks in the tables below used to download slides will NOT WORK in Google Chrome. Please use a different browser to access these slides.

Wednesday, June 21st - Gathertown Social & Instructions

** optional talks

Thursday, June 22nd - Introduction / Single Subject Analysis / Troubleshooting

Tuesday, June 27th - ROI Analysis / Group Analysis / Longitudinal Analysis

Additional Useful Information

During the Course

• Using a Mac & need a text editor? Download gedit, here.

• Some basic information on text editors can be found here.

• The tutorials often refer to keyboard shortcuts (such as Alt+v) which do not work on a Mac. For a list of equivalent keyboard commands on a Mac, please refer to MacCommands.

• Scripts & aliases

• Glossary

After the Course

• A full list of all FreeSurfer tutorials, including ones that may not have been included at this course

• Publications

• How to cite FreeSurfer is on the FreeSurferMethodsCitation page.

Payment

Cost

The fee for the course is $425. A reduced rate of $275 is available to undergraduate and graduate students. MDs, PhDs, RAs and Post-docs do not qualify for the student rate!

Accepted Payment Types

Accepted Payment types: credit card, MGB internal fund, cash (contact the course organizers to arrange how to pay with cash)
As long as there are empty spots in the course, we will accept late registrations (regardless of the cancellation deadline).
Payment and all questions about payment should be sent to Stacey.

Payment Coordinator/Contact: Stacey Ladieu (sladieu at martinos dot org)

Cancellations, Refunds, and Deadlines

Course fees are refundable, minus a $200 fee, up to 2 weeks prior to the program. After that, the tuition can be applied to a future program within one year of the course for which you registered and paid for, or you can send someone in your place. If you do not cancel your registration by June 8th, you will not be issued a refund. If you do not show your computer is unable to run the software by May 22nd, you will not be issued a refund.

Partial Refund Cancellation deadline: June 8th, 2023
Computer verification deadline: May 22nd, 2023

FAQ

1. How many individuals are accepted into the Virtual course?

   • 35 people

2. Do postdocs qualify for the student rate?

   • No, sorry.

3. Is there a discount for MGH or Martinos Center employees?

   • Sorry, no.

4. I cannot pay by internal fund or credit card. Do I have any other options?

   • If you are local, you may bring a cash payment to Allison Stevens (astevens at nmr dot mgh dot harvard dot edu) before the deadline. If you are not local, you may be able to pay via Western Union and Moneygram if it is addressed to Stacey Ladieu. Please contact Stacey (sladieu at nmr dot mgh dot harvard dot edu) first for details.

1. The course is full. Can you register me for the next one?

   • You can sign up for our course mailing list and you will be notified when registration for the next course opens (that list is here). You can also register for the currently full course to be put on the waiting list for it. This does not however automatically get you a spot in the next course.

2. Can I get a receipt for the course?

   • Contact the payment coordinator, Stacey (sladieu at nmr dot mgh dot harvard dot edu) to arrange getting a receipt.

3. How do I know if my payment went through?

   • If it hasn't we will contact you.

4. I have some data I would like to get your opinion on. Can I show it to you?

   • Sure! But please know that if you show us during a tutorial, questions from students about that tutorial will have to take priority over personal data questions. If you email the course organizers (fscourse AT nmr.mgh.harvard.edu) prior to the course, they can try to arrange a time to discuss your data.

5. I need some help installing FreeSurfer on my laptop - I can't seem to get it to work. Can you help with that?

   • Sure! Please email the course organizers (fscourse AT nmr.mgh.harvard.edu) for assistance.

Course Topics

Below is the list of topics. The course format is composed of lectures followed by hands-on tutorials so that you can gain experience interacting with data processed by FreeSurfer. A basic understanding of Linux is necessary to run and work with FreeSurfer.

• Linux Demo/Tutorial (optional)

  • This Linux tutorial is very basic. Scripting will not be covered. This tutorial will cover how to to navigate (cd) through directories, how to copy files, how to make directories, how to use emacs, and how to set variables. For those who are not familiar with Linux, this tutorial is meant to get you comfortable enough to at least get through the FreeSurfer tutorials that are part of the course. If you have never used Linux before, this session is highly recommended.

• Introduction to FreeSurfer Jargon (optional)

  • Intended for those new to imaging software. Explains basic vocabulary such as voxel, surface, vertex, volume, segmentation, parcellation, registration, and recon.

• Introduction to FreeSurfer

  • Overview of FreeSurfer's abilities.

• Analyzing the Individual Subject in FreeSurfer

  • Description of each step of the FreeSurfer processing stream.

• Freeview demonstration

  • A live walk-through for how to use the Freeview GUI.

• Interaction with Individual Subject Output - Tutorial

  • Using FreeSurfer's visualization tools to look at FreeSurfer output.

• Region of Interest (ROI) Analysis - Talk and Tutorial

  • A description of the FreeSurfer atlases used in subcortical segmentation and cortical parcellation as well as the measures FreeSurfer provides. Information on creating and analyzing ROIs (volume vs. intensity studies).

• FreeSurfer Troubleshooting - Talk and Tutorial

  • Discussion of the possible errors one may find in their FreeSurfer output and how to fix them.

• Quality Checking a Recon

  • Live demo of how to scroll through FreeSurfer output and look for errors.

• Surface-based Analysis: Intersubject Registration & Smoothing

  • Volume vs. Surface-based analysis

• Group Analysis/GLM/Multiple Comparisons (mri_glmfit)- Talk and Tutorial

  • Covers the basics of group analysis in the context of imaging data.

• Longitudinal Analysis in FreeSurfer

  • How to process longitudinal data with FreeSurfer and what's going on behind the scenes.

• Question and Answer Session

  • Open forum to resolve any unanswered questions

Course Mailing List

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