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* 1. Which computer platform do you preferentially work on?

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* 2. If you are using open source tools: Which open source tool do you mainly work with?

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* 3. Modalities: Please rate the importance of the following neuro-imaging modes for your work.

  Very important Important Neutral Unimportant Very unimportant
EEG
MEG / Optically pumped magnetometry
EEG with fMRI
EEG with fNIRS
Intracranial EEG (ECoG, sEEG)
Brain stimulation techniques (TMS, tDCS, ...)
Hyperscanning

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* 4. If your work includes brain research:
Please rate the importance of the following analysis types for your work:

(If you do not work in brain research, please continue with question 5.)

  Very important Important Neutral Unimportant Very unimportant
Classic ERP analysis
Source analysis
Time-frequency analysis
Connectivity (e.g. Granger causality, resting-state analysis)
Statistical analysis (group effects)
Machine learning / AI
Brain-computer interface / Neurofeedback
Real-time data analysis

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* 5. If your work includes clinical neurology applications:
Please rate the importance of the following clinical application types for your work:

  Very important Important Neutral Unimportant Very unimportant
Epileptic spike detection
Epileptic seizure detection
Pre-surgical planning in epilepsy
Multi-modal integration of brain imaging modalities (e.g. SPECT, PET, FLAIR)
Connectivity analysis of pathological brain activity
Stereo-EEG recording and analysis
Sleep analysis
Analysis of other neurological disorders

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* 6. If you use Source Analysis methods: How important are different types of methods to you?

  Very important Important Neutral Unimportant Very unimportant
Discrete sources (e.g. dipole fitting)
Distributed sources (e.g. LORETA, MNE, CLARA, sLoreta)
Cortically constrained solutions (e.g. cortical LORETA, dipoles constrained to cortex)
Beamformer techniques
Bayesian source imaging (e.g. SESAME)

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* 7. Usability: Please rate the importance of the following usability aspects for your work:

  Very important Important Neutral Unimportant Very unimportant
Pre-defined workflows available to guide through most analysis pathways
Have a teaching version of BESA (full functionality, but runs only with example datasets)
Work in a web browser rather than on a desktop application
Inter-operability with other software packages (e.g. MATLAB, Excel, open source tools, ...)
Data processing history and its application to multiple data sets
Support for BIDS (brain imaging data structure) data sets

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