Brainstorm workshop survey: Moscow 2013
Selected comments from attendees:
Survey results
Number of participants: 35
Number of returned documents: 28 (80%)
Link to the pdf document.
Summary
- Before today's class, how would you describe your use of Brainstorm:
Never used: 90%
Some simulation work: 3%
Some experimental work: 3%
Experienced user: 4%
N/A: 3%
- How helpful was the class in learning Brainstorm: 1(worst) to 5(best)
1: 0%
2: 0%
3: 6%
4: 61%
5: 32%
- Did you try the online tutorial before coming to class:
Yes: 42%
No: 52%
N/A: 6%
- Interested in using Brainstorm for:
EEG: 52%
MEG: 87%
MEG+EEG: 51%
NIRS: 0%
sEEG/ECoG: 0%
Scripting: 66%
Pre-processing: 58%
Visualization of recordings: 58%
Source analysis: 67%
Time-frequency: 58%
Functional connectivity: 71%
Statistics: 39%
Research: 74%
Clinical applications: 29%
Epilepsy: 13%
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=Never used, 2=Some simulation work, 3=Some experimental work, 4=Experienced user, 0=NA
- How helpful: 1(worst) to 5(best), 0=N/A
- Online tutorials before coming: 1=No, 2=Yes, 0=N/A
Results values
- 1 1 1 1 1 1 3 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1
- 4 4 4 5 3 4 4 4 3 5 4 5 4 5 4 5 4 4 4 4 4 4 5 5 4 5 4 5 4 4 5
- 1 1 2 1 2 1 2 2 2 1 2 2 1 1 1 2 2 0 2 1 1 2 1 1 2 1 2 0 1 1 1