|
Size: 1829
Comment:
|
Size: 2517
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)" '' |
| Line 6: | Line 10: |
| Number of participants: 19<<BR>>Number of returned documents: 17 (89%)<<BR>>[[http://neuroimage.usc.edu/brainstorm/WorkshopLosAngeles2015Survey?action=AttachFile&do=get&target=workshop_survey.pdf|Link to the pdf document|&do=get]]. | Number of participants: 19<<BR>>Number of returned documents: 17 (89%)<<BR>>[[http://neuroimage.usc.edu/brainstorm/WorkshopLosAngeles2015Survey?action=AttachFile&do=get&target=workshop_survey.pdf|Link to the pdf document]]. |
| Line 10: | Line 14: |
| * Never used: % * Some simulation work: % * Some experimental work: % * Experienced user: 0% |
* Never used: 53% * Some simulation work: 6% * Some experimental work: 29% * Experienced user: 12% |
| Line 17: | Line 21: |
| * 3: % * 4: % * '''5: %''' |
* 3: 0% * '''4: 65% ''' * '''5: 35%''' |
| Line 21: | Line 25: |
| * Yes: % * No: % |
* Yes: 47% * No: 53% |
| Line 24: | Line 28: |
| * 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 / child studies: |
* 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 45: | 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''' * '''Too fast for beginners: 5 ''' * Too much information: 1 * More time for questions: 1 * A bit slow: 1 |
| Line 55: | Line 58: |
| * Connectivity: * EEG examples (digitizer, ECoG positions): * EEG/SEEG examples (recordings): * Interface with command line Matlab: * More on frequency analysis: |
* More explanations of the analysis parameters: 3 * More scripting: 3 * Differences EEG/MEG: 1 * ECoG/sEEG examples: 1 * EEG/ERP examples: 1 * Animal examples: 1 * Clinical examples: 1 * Group analysis: 1 * BEM head model: 1 * More statistics: 1 * More connectivity: 1 * Resting state connectivity: 1 |
| Line 62: | Line 72: |
| * Integration with fMRI: * Realtime processing and display: |
* Beamformers: 3 * More statistics / Stat on connectivity: 3 * BSS/ICA for identification of neural sources: 1 * Multiple sparse priors / DCM: 1 * Advanced ERP analysis: 1 * Spike detection: 1 * EEG-fMRI:1 * Certification for clinical use: 1 * Connectivity documentation: 1 * Offline tutorial: 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)"
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
Too fast for beginners: 5
- Too much information: 1
- More time for questions: 1
- A bit slow: 1
Missing topics and requests
- More explanations of the analysis parameters: 3
- More scripting: 3
- Differences EEG/MEG: 1
- ECoG/sEEG examples: 1
- EEG/ERP examples: 1
- Animal examples: 1
- Clinical examples: 1
- Group analysis: 1
- BEM head model: 1
- More statistics: 1
- More connectivity: 1
- Resting state connectivity: 1
Missing tools in Brainstorm
- Beamformers: 3
- More statistics / Stat on connectivity: 3
- BSS/ICA for identification of neural sources: 1
- Multiple sparse priors / DCM: 1
- Advanced ERP analysis: 1
- Spike detection: 1
- EEG-fMRI:1
- Certification for clinical use: 1
- Connectivity documentation: 1
- Offline tutorial: 1