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* | * ''Cannot be better!'' * ''Brainstorm is a very large, very complete toolbox. It is understandable it cannot be covered in two days. It is a very good course for initiation.'' * ''Perfect!'' |
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* Never used: 58% | * Never used: '''58%''' |
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* '''5: 58%''' | * 5: '''58%''' |
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* EEG: * MEG: * MEG+EEG: * NIRS: * sEEG/ECoG: * Scripting: * Pre-processing: * Visualization of recordings: * Source analysis: * Time-frequency: * Functional connectivity: * Statistics: * Research: * Clinical applications: * Epilepsy: * Baby / infant studies: * Animal studies: |
* EEG: 68% * MEG: 74% * MEG+EEG: 22% * NIRS: 3% * sEEG/ECoG: 22% * Scripting: 16% * Pre-processing: 61% * Visualization of recordings: 39% * Source analysis: 65% * Time-frequency: 65% * Functional connectivity: 52% * Statistics: 39% * Research: 35% * Clinical applications: 16% * Epilepsy: 16% * Baby / infant studies: 3% * Animal studies: 0% |
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* '''Good clarity: ''' * Good pace: * Too fast for beginners: |
* '''Good clarity: 15''' * '''Good pace: 12''' * Sometimes too fast: 6 * Sometimes too slow: 3 * Three days would be better: 1 * Not enough discussions: 1 |
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* Group analysis: * More on scripting: * More on statistics: |
* Scripting and file manipulation: 4 * Group analysis: 3 * Statistics: 2 * EEG/SEEG: 2 * Resting state / steady state: 2 * Details of forward modeling: 2 * Dipole fitting: 1 * Experimental design: 1 * Connectivity: 1 * Decoding: 1 * Connections to other software: 1 |
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* | * Simpler tutorials: 5 * More source modeling methods: 2 * Source analysis in frequency domain: 2 * More forward modeling solutions: 1 * More connectivity options: 1 * Missing connectivity tutorial: 1 * Graph theory: 1 * Machine learning: 1 * Epilepsy detection and network analysis: 1 * TMS-EEG: 1 * SEEG tools and display: 1 * More ERP analysis tools: 1 * MRI segmentation: 1 * Simpler interface: 1 |
Brainstorm workshop survey: Beijing 2017
Selected comments from attendees
Cannot be better!
Brainstorm is a very large, very complete toolbox. It is understandable it cannot be covered in two days. It is a very good course for initiation.
Perfect!
Survey results
Number of participants: 40
Number of returned documents: 31 (78%)
Link to the pdf document.
Summary
- Before today's class, how would you describe your use of Brainstorm:
Never used: 58%
- Some simulation work: 3%
- Some experimental work: 35%
- Experienced user: 3%
- How helpful was the class in learning Brainstorm: 1(worst) to 5(best)
- 1: 0%
- 2: 0%
- 3: 23%
- 4: 16%
5: 58%
- Did you try the online tutorial before coming to class:
- Yes: 48%
- No: 42%
- Interested in using Brainstorm for:
- EEG: 68%
- MEG: 74%
- MEG+EEG: 22%
- NIRS: 3%
- sEEG/ECoG: 22%
- Scripting: 16%
- Pre-processing: 61%
- Visualization of recordings: 39%
- Source analysis: 65%
- Time-frequency: 65%
- Functional connectivity: 52%
- Statistics: 39%
- Research: 35%
- Clinical applications: 16%
- Epilepsy: 16%
- Baby / infant studies: 3%
- Animal studies: 0%
Comments and suggestions
The number indicates the number of participants who made similar comments.
Comments about the workshop
Good clarity: 15
Good pace: 12
- Sometimes too fast: 6
- Sometimes too slow: 3
- Three days would be better: 1
- Not enough discussions: 1
Missing topics and requests
- Scripting and file manipulation: 4
- Group analysis: 3
- Statistics: 2
- EEG/SEEG: 2
- Resting state / steady state: 2
- Details of forward modeling: 2
- Dipole fitting: 1
- Experimental design: 1
- Connectivity: 1
- Decoding: 1
- Connections to other software: 1
Missing tools in Brainstorm
- Simpler tutorials: 5
- More source modeling methods: 2
- Source analysis in frequency domain: 2
- More forward modeling solutions: 1
- More connectivity options: 1
- Missing connectivity tutorial: 1
- Graph theory: 1
- Machine learning: 1
- Epilepsy detection and network analysis: 1
- TMS-EEG: 1
- SEEG tools and display: 1
- More ERP analysis tools: 1
- MRI segmentation: 1
- Simpler interface: 1