MEG workshop survey: Montreal 2017

Selected comments from attendees

• It was great interacting with the authors and understanding the very many possibilities.

• Great job!

Survey results

Number of participants: 12
Number of responses: 7 (58%)

Summary - Lecture Day

1. Please rate how you found each of the lectures:

• The physiological origins of scalp signals: Sylvain Baillet:
  • Very useful: 86%
  • Nothing new: 14%
• Basic signal extraction: ERP/ERFs, Jeremy Moreau
  • Very useful: 86%
  • Somewhat useful: 14%
• Spectral analysis, Peter Donhauser
  • Very useful: 57%
  • Somewhat useful: 29%
  • No comment: 14%
• Source imaging 101: Christophe Grova
  • Very useful: 86%
  • Somewhat useful: 14%
• Keynote : Dimitrios Pantazis
  • Very useful: 72%
  • Somewhat useful: 14%
  • Nothing new: 14%
• The Functional and Effective Connectivity, Sylvain Baillet
  • Very useful: 72%
  • Somewhat useful: 14%
  • No comment: 14%
• Applications of MEG and MSI, Jeremy Moreau
  • Very useful: 29%
  • Somewhat useful: 29%
  • Nothing new: 29%
  • No comment: 14%

2. Please rate how you found the poster session:

• Very useful: 29%
• Somewhat useful: 57%
• No comment: 14%

3. How did you like the venue and catered breaks:

• Met Expectations: 86%
• Neutral: 14%

Summary - Hands-on

1. Please rate how you found the lecture: Intro to MEG instrumentation and Paradigm design: Beth Bock

• Very useful: 86%
• Somewhat useful: 14%

2. Please rate your experience with paradigm design [Your group]:

• Excellent: 44%
• Good: 28%
• Average: 28%

3. Please rate your experience with paradigm design [Resources (computer, software, etc)]

• Excellent: 86%
• Good: 14%

4. Please rate your experience with paradigm design [Expert assistance]

• Excellent: 100%

5. Please rate your experience with paradigm design [Time]

• Excellent: 44%
• Good: 44%
• Average: 12%

6. Please rate your experience with data recording [Beth's instructions]

• Excellent: 100%

7. Please rate your experience with data recording [Time]

• Excellent: 86%
• Average: 14%

8. Please rate your experience with data analysis [Francois' instructions]

• Excellent: 100%

9. Please rate your experience with data analysis [Resources (computer, software, etc)]

• Excellent: 100%

10. Please rate your experience with data analysis [Expert assistance]

• Excellent: 86%
• Good: 14%

11. Please rate your experience with data analysis [Time]

• Excellent: 72%
• Good: 14%
• Average: 14%

12. How did you like the venue and catered breaks?

• Met Expectations: 86%
• Neutral: 14%

13. Would you recommend the course to your colleagues?

• Yes: 100%