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Revision 1 as of 2019-03-18 19:34:39

Brainstorm workshop survey: Baltimore, USA 2019

Survey results

Number of participants: 26
Number of returned documents: 15
Link to the pdf document.

Summary

  1. Before today's class, how would you describe your use of Brainstorm:
    • Never used: 73%

    • Some simulation work: 7%
    • Some experimental work: 7%
    • Experienced user: 13%
  2. How helpful was the class in learning Brainstorm: 1(worst) to 5(best)
    • 1: 0%
    • 2: 0%
    • 3: 7%
    • 4: 13%
    • 5: 80%

  3. Did you try the online tutorial before coming to class:
    • Yes: 33%
    • No: 67%
  4. Interested in using Brainstorm for:
    • EEG: 86%
    • MEG: 0%
    • MEG+EEG: 7%
    • NIRS: 14%
    • sEEG/ECoG: 21%
    • Scripting: 21%
    • Pre-processing: 71%
    • Visualization of recordings: 79%
    • Source analysis: 57%
    • Time-frequency: 50%
    • Functional connectivity: 57%
    • Statistics: 57%
    • Research: 50%
    • Clinical applications: 36%
    • Epilepsy: 14%
    • Baby / infant studies: 0%

Comments and suggestions

The number indicates the number of participants who made similar comments.

Comments about the workshop

  • Good clarity: 10
  • Good pace: 9
  • Sometimes too fast: 3
  • More time spent on theoretical lectures

Missing topics and requests

  • More time spent on statistics: 3
  • More time spent on connectivity: 2
  • Explanations on underlying math formulas of methods used
  • Considerations of processing large recordings

Missing tools in Brainstorm

  • To combine electrophysiology with fMRI data
  • A robust pre-processing code-based pipeline
  • Tutorial on ECoG data
  • Deep Brain Stimulation
  • MoinMoin Powered
  • Python Powered
  • GPL licensed
  • Valid HTML 4.01