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Revision 7 as of 2015-12-20 13:08:55

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: 20
Number of returned documents: 17 (85%)
Link to the pdf document.

Summary

  1. 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%
  2. How helpful was the class in learning Brainstorm: 1(worst) to 5(best)
    • 1: 0%
    • 2: 0%
    • 3: 0%
    • 4: 65%

    • 5: 35%

  3. Did you try the online tutorial before coming to class:
    • Yes: 47%
    • No: 53%
  4. 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
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