Brainstorm workshop survey: Moscow 2013

Selected comments from attendees:

Survey results

Number of participants: 35
Number of returned documents: 29 (83%)
Link to the pdf document.

Summary

1. Before today's class, how would you describe your use of Brainstorm:

   • Never used: 59%

   • Some simulation work: 10%

   • Some experimental work: 24%

   • Experienced user: 7%

   • N/A: 0%

2. How helpful was the class in learning Brainstorm: 1(worst) to 5(best)

   • 1: 0%

   • 2: 0%

   • 3: 0%

   • 4: 21%

   • 5: 79%

3. Did you try the online tutorial before coming to class:

   • Yes: 37%

   • No: 48%

   • N/A: 14%

4. Interested in using Brainstorm for:

   • EEG: 66%

   • MEG: 55%

   • MEG+EEG: 34%

   • NIRS: 0%
   • sEEG/ECoG: 7%
   • Scripting: 14%

   • Pre-processing: 48%

   • Visualization of recordings: 59%

   • Source analysis: 52%

   • Time-frequency: 52%

   • Functional connectivity: 45%

   • Statistics: 48%

   • Research: 52%

   • Clinical applications: 7%
   • Epilepsy: 7%
   • Baby / infant studies: 3%

Comments and suggestions

The number indicates the number of participants who made similar comments.

Comments about the workshop

• Very good pace and clarity: 24

• A bit rushed in the afternoon: 4
• A bit too slow in the morning: 3
• Too much for a day: 4
• Request for a few more breaks: 1
• Section on time-frequency less clear than the others: 1

Missing topics and requests

• More on functional connectivity: 3
• More on different inverse methods: 2
• More on forward modeling (BEM): 1
• More on time-frequency: 1
• Clinical applications / epilepsy: 2
• Processing EEG data / ERPs: 2
• Explain which analysis should be used in which research question: 2
• Export TF/connectivity maps to SPSS: 1
• Study of deep brain structures: 1
• Full group analysis: 1
• Would have been better with Neuromag data: 1
• More activities that require critical thinking rather than following along: 1
• How to import external events files: 1

Missing tools in Brainstorm

• Development of the functional connectivity: 8

• Pipeline edition similar to BrainVision (drag and drop): 2

• Beamformers: 2
• MEG/EEG + fMRI: 2
• Add markers in the imported data: 1
• Easy way to cancel ongoing process: 1
• Better stats: 1
• Allow for behavioral covariates: 1
• Motion correction: 1

Technical issues

• Some bugs with the scouts: 5

Results analysis

Results encoding

1. 1=Never used, 2=Some simulation work, 3=Some experimental work, 4=Experienced user, 0=NA
2. How helpful: 1(worst) to 5(best), 0=N/A
3. Online tutorials before coming: 1=No, 2=Yes, 0=N/A

Results values

1. 2 1 3 3 1 3 1 3 1 1 1 1 1 4 2 2 1 1 1 1 3 4 1 1 3 1 1 1 3
2. 5 4 5 5 5 5 5 4 5 4 5 5 5 5 5 5 5 4 5 5 5 5 5 5 5 4 5 4 5
3. 1 1 1 0 1 2 1 1 0 2 1 1 1 2 2 2 2 2 1 2 0 1 2 2 0 1 1 1 2