Virtual FreeSurfer Course

The virtual FreeSurfer course is scheduled for September 14-15th, 2022. 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 Sept 7th 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 FULL for the Fall 2022 Virtual FreeSurfer Course!

Cancellation deadline: August 31st, 2022
Computer verification deadline: September 7th, 2022

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
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.

During the tutorial sessions, you will be shown a variety of commands. Only those that appear in a box should be copy-and-pasted into the terminal. They will look like this:

command arg1 arg2

Schedule

Wednesday, September 14th - Introduction / Single Subject Analysis / Troubleshooting

Time

Title

Type

Lecturer

9:00 - 9:15

Welcome (for optional talks)

social

staff

9:15 - 9:45

** Intro to Linux for FreeSurfer Users

talk/demo

Jackson Nolan

9:45 - 10:00

** Intro to FreeSurfer Jargon

talk

Allison Player & Lilla Zollei

10:00 - 10:10

Welcome/10 minute break

10:10 - 10:55

Introduction to Freesurfer

talk

Bruce Fischl

10:55 - 12:05

Analyzing the Individual Subject

talk

Doug Greve

12:05 - 12:10

5 minute break

12:10 - 12:15

Freeview demonstration

demo

Devani Cordero

12:15 - 12:30

Tutorial: Individual Subject Output

tutorial

staff

12:30 - 1:30

Lunch

1:30 - 1:45

Continued: Freeview demonstration

demo

Devani Cordero

1:45 - 2:15

Continue Tutorial: Individual Subject Output

tutorial

staff

2:15 - 3:00

FreeSurfer Troubleshooting

talk

Doug Greve

3:00 - 3:15

15 minute break

3:15 - 4:15

Tutorial: Troubleshooting Freesurfer

tutorial

staff

4:15 - 5:00

Quality Checking a Recon

talk

Nathan Draudt

** optional talks

Thursday, September 15th - ROI Analysis / Group Analysis / Longitudinal Analysis

Time

Title

Type

Lecturer

9:00 - 9:30

ROI Analysis

talk

Doug Greve

9:30 - 10:15

Tutorial: ROI Analysis

tutorial

staff

10:15 - 10:45

Surface Based Analysis

talk

Divya Varadarajan

10:45 - 11:00

15 minute break

11:00 - 11:45

Group Analysis

talk

Doug Greve

11:45 - 12:30

Tutorial: Group Analysis (FSGD Examples)

tutorial

staff

12:30 - 1:30

Lunch

1:30 - 2:15

Corrections for Multiple Comparisons

talk

Doug Greve

2:15 - 2:45

Tutorial: Corrections for Multiple Comparisons

tutorial

staff

2:45 - 3:00

15 minute break

3:00 - 3:45

Longitudinal FreeSurfer

talk

Malte Hoffmann

3:45 - 4:25

Tutorial: LongitudinalTutorial

tutorial

staff

4:25 - 4:45

Q&A with FreeSurfer Team

talk

Bruce Fischl

Additional Useful Information

During the Course

After the Course

Payment

Cost

The fee for the course is $400. 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 $100 fee, up to 2 weeks prior to the program. If you verify your computer is unable to host the course software & data by September 7th, you will be issued a full refund. If you do not cancel your registration by August 31st or do not show your computer is unable to run the software by September 7th, you will not be issued a refund.

Cancellation deadline: August 31st, 2022
Computer verification deadline: September 7th, 2022

FAQ

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

    • 20 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.


Course Mailing List

SUBSCRIBE:
If you are interested in being notified about future course offerings, sign up for our mailing list (here).

UNSUBSCRIBE:
To unsubscribe from the course mailing list please click here.

VirtualCourse (last edited 2022-09-15 14:33:16 by AllisonStevens)