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= Brainstorm workshop survey: Halifax 2013 = | = Brainstorm workshop survey: Moscow 2013 = |
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* ''"Really clear and well paced. Good job!"'' * ''"Pace was awesome, clarity was good. Loved the interactive basis of the workshop"'' * ''"Very good background and basic explanation, very good commentary on procedures"'' * ''"Good intro, made things very clear"'' * ''"A lot of info, but great job of presenting it clearly"'' * ''"The clarity of the explanation was really good for the allocated time"'' * ''"Information was conveyed at the perfect pace"<<BR>>'' * ''"Excellently executed"'' * ''"Great software! Keep moving forward!!"'' * ''"Food was great! Loved it! Thanks"'' |
* "The workshop was excellent, thank you very much !!" * "Absolutely clear and good pace for most of the audience" * "It's very easy, clearly describes every step" * "The visualizations of anatomy and connectivity results are very interesting and beautiful" * "This class was the clearest in this science school" * "I learned more than I hoped to" |
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Number of participants: '''40'''<<BR>>Number of returned documents: '''31 '''(78%)<<BR>>[[attachment:workshop_survey.pdf|Link to the pdf document|&do=get]]. | Number of participants: '''35'''<<BR>>Number of returned documents: '''29 '''(83%)<<BR>>[[attachment:workshop_survey.pdf|Link to the pdf document|&do=get]]. |
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* '''Never used: 90%''' * Some simulation work: '''3%''' * Some experimental work: '''3%''' * Experienced user: '''4%''' * N/A: '''3%''' |
* Never used: '''59%''' * Some simulation work: '''10%''' * Some experimental work: '''24%''' * Experienced user:''' '''7% * N/A: 0% |
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* 1: '''0%''' * 2: '''0%''' * 3: '''6%''' * '''4: 61%''' * '''5: 32%''' |
* 1: 0% * 2: 0% * 3: 0% * 4: '''21%''' * 5: '''79%''' |
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* Yes: '''42%''' * No: '''52%''' * N/A: '''6%''' |
* Yes: '''37%''' * No: '''48%''' * N/A: 14% |
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* 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%''' |
* 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% |
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* '''Very good pace and clarity: 24''' * A bit rushed in the afternoon: 4 |
* '''Good pace and clarity: 14''' * A bit rushed in the afternoon: 3 * A bit too fast in general: 2 |
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* 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 |
* A bit too slow in the morning: 1 |
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* 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 |
* Processing EEG data / ERPs: 3 * More on statistics: 2 * More on forward/inverse modeling: 1 * Would have been better with Neuromag data / FIF files: 1 |
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* '''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 |
* Better stats: 3 * Development of the functional connectivity: 2 * More pre-processing: filters, different types of artifacts: 1 * Beamformers: 1 * MEG/EEG + fMRI: 1 * Typing the coordinates in the MRI viewer: 1 |
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* Some bugs with the scouts: 5 | * Out of memory issues: 7 * Importing the MRI : 1 |
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Brainstorm workshop survey: Moscow 2013
Selected comments from attendees:
- "The workshop was excellent, thank you very much !!"
- "Absolutely clear and good pace for most of the audience"
- "It's very easy, clearly describes every step"
- "The visualizations of anatomy and connectivity results are very interesting and beautiful"
- "This class was the clearest in this science school"
- "I learned more than I hoped to"
Survey results
Number of participants: 35
Number of returned documents: 29 (83%)
Link to the pdf document.
Summary
- 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%
- How helpful was the class in learning Brainstorm: 1(worst) to 5(best)
- 1: 0%
- 2: 0%
- 3: 0%
4: 21%
5: 79%
- Did you try the online tutorial before coming to class:
Yes: 37%
No: 48%
- N/A: 14%
- 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
Good pace and clarity: 14
- A bit rushed in the afternoon: 3
- A bit too fast in general: 2
- A bit too slow in the morning: 1
Missing topics and requests
- Processing EEG data / ERPs: 3
- More on statistics: 2
- More on forward/inverse modeling: 1
- Would have been better with Neuromag data / FIF files: 1
Missing tools in Brainstorm
- Better stats: 3
- Development of the functional connectivity: 2
- More pre-processing: filters, different types of artifacts: 1
- Beamformers: 1
- MEG/EEG + fMRI: 1
- Typing the coordinates in the MRI viewer: 1
Technical issues
- Out of memory issues: 7
- Importing the MRI : 1
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
- 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
- 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
- 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