= 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<<BR>>Number of returned documents: 31 (78%)<<BR>>[[http://neuroimage.usc.edu/brainstorm/WorkshopLosAngeles2015Survey?action=AttachFile&do=get&target=workshop_survey.pdf|Link to the pdf document]].

=== Summary ===
 1. 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%
 1. How helpful was the class in learning Brainstorm: 1(worst) to 5(best)
  * 1: 0%
  * 2: 0%
  * 3: 23%
  * 4: 16%
  * 5: '''58%'''
 1. Did you try the online tutorial before coming to class:
  * Yes: 48%
  * No: 42%
 1. 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