|
Size: 2137
Comment:
|
Size: 2512
Comment:
|
| Deletions are marked like this. | Additions are marked like this. |
| Line 3: | Line 3: |
| * | * "Tres didactique. Interface super! Bravo!" * "Contenu clair et bien construit" * "Very clear and didactic" * "Perfect, good overview especially on the interface side" * "Organisation de la formation bien construite (theorie vs pratique). Partie pratique: TB" |
| Line 24: | Line 28: |
| * EEG: 1 1 1 1 1 1 1 1 1 1 1 1 1 1 * MEG: 1 1 1 1 1 1 1 1 1 * MEG+EEG: 1 1 1 1 1 * NIRS: 1 1 1 * sEEG/ECoG: 1 1 1 1 1 1 * Scripting: 1 1 * Pre-processing: 1 1 1 1 1 1 1 1 1 * Visualization of recordings: 1 1 1 1 1 1 1 1 1 * Source analysis: 1 1 1 1 1 1 1 1 1 1 1 1 1 1 * Time-frequency: 1 1 1 1 1 1 1 1 1 1 1 * Functional connectivity: 1 1 1 1 1 1 1 1 1 1 1 * Statistics: 1 1 1 1 1 1 1 1 1 1 1 1 * Research: 1 1 1 1 1 1 1 1 1 1 1 1 1 1 * Clinical applications: 1 1 1 1 1 1 * Epilepsy: 1 1 1 1 1 * Baby / infant studies: 1 1 1 1 1 * Animal studies: 1 |
* EEG: 82% * MEG: 53% * MEG+EEG: 29% * NIRS: 18% * sEEG/ECoG: 35% * Scripting: 12% * Pre-processing: 53% * Visualization of recordings: 53% * Source analysis: 83% * Time-frequency: 65% * Functional connectivity: 65% * Statistics: 71% * Research: 83% * Clinical applications: 35% * Epilepsy: 29% * Baby / infant studies: 29% * Animal studies: 6% |
| Line 46: | Line 50: |
| * '''Good clarity: ''' * '''Good pace: ''' * A bit slow: * Uneven pace: * Need more short breaks: * Too much time on personal questions: * Some advertised topics were not covered: * Need more time / two days: |
* '''Good clarity: 12''' * '''Good pace: 7''' * More time for questions: 1 * A bit slow: 1 * A bit fast for beginners: 5 * Too much information: 1 |
| Line 56: | Line 58: |
| * Connectivity: * EEG examples (digitizer, ECoG positions): * EEG/SEEG examples (recordings): * Interface with command line Matlab: * More on frequency analysis: |
* Differences EEG/MEG: 1 * Group analysis: 1 * More explanations of the analysis parameters: 3 * ECoG/sEEG examples: 1 * EEG/ERP examples: 1 * BEM head model: 1 * More scripting: 3 * Animal examples: 1 * Clinical examples: 1 * More statistics: 1 * More connectivity: 1 * Resting state connectivity: 1 |
| Line 63: | Line 72: |
| * Advanced ERP analysis: 1 | |
| Line 65: | Line 75: |
| * Realtime processing and display: | * BSS/ICA for identification of neural sources: 1 * Connectivity documentation: 1 * More statistics / Stat on connectivity: 3 * Beamformers: 3 * Multiple sparse priors / DCM: 1 * Offline tutorial: 1 * Spike detection: 1 |
Brainstorm workshop survey: Grenoble 2015
Selected comments from attendees
- "Tres didactique. Interface super! Bravo!"
- "Contenu clair et bien construit"
- "Very clear and didactic"
- "Perfect, good overview especially on the interface side"
- "Organisation de la formation bien construite (theorie vs pratique). Partie pratique: TB"
Survey results
Number of participants: 19
Number of returned documents: 17 (89%)
Link to the pdf document.
Summary
- Before today's class, how would you describe your use of Brainstorm:
- Never used: 53%
- Some simulation work: 6%
- Some experimental work: 29%
- Experienced user: 12%
- How helpful was the class in learning Brainstorm: 1(worst) to 5(best)
- 1: 0%
- 2: 0%
- 3: 0%
4: 65%
5: 35%
- Did you try the online tutorial before coming to class:
- Yes: 47%
- No: 53%
- Interested in using Brainstorm for:
- EEG: 82%
- MEG: 53%
- MEG+EEG: 29%
- NIRS: 18%
- sEEG/ECoG: 35%
- Scripting: 12%
- Pre-processing: 53%
- Visualization of recordings: 53%
- Source analysis: 83%
- Time-frequency: 65%
- Functional connectivity: 65%
- Statistics: 71%
- Research: 83%
- Clinical applications: 35%
- Epilepsy: 29%
- Baby / infant studies: 29%
- Animal studies: 6%
Comments and suggestions
The number indicates the number of participants who made similar comments.
Comments about the workshop
Good clarity: 12
Good pace: 7
- More time for questions: 1
- A bit slow: 1
- A bit fast for beginners: 5
- Too much information: 1
Missing topics and requests
- Differences EEG/MEG: 1
- Group analysis: 1
- More explanations of the analysis parameters: 3
- ECoG/sEEG examples: 1
- EEG/ERP examples: 1
- BEM head model: 1
- More scripting: 3
- Animal examples: 1
- Clinical examples: 1
- More statistics: 1
- More connectivity: 1
- Resting state connectivity: 1
Missing tools in Brainstorm
- Advanced ERP analysis: 1
- EEG-fMRI:1
- No certifications for clinical use: 1
- BSS/ICA for identification of neural sources: 1
- Connectivity documentation: 1
- More statistics / Stat on connectivity: 3
- Beamformers: 3
- Multiple sparse priors / DCM: 1
- Offline tutorial: 1
- Spike detection: 1