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getting_started:neuromag [2016/12/21 12:41]
134.151.16.108 [Frequently Asked Questions]
getting_started:neuromag [2017/08/17 11:21] (current)
127.0.0.1 external edit
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   * The default behavior of ft_read_event is that it assumes that event values below 5 are noise. However, in the new systems (Elekta Neuromag VectorView or Triux (306 channels both) this is seldom the case.    * The default behavior of ft_read_event is that it assumes that event values below 5 are noise. However, in the new systems (Elekta Neuromag VectorView or Triux (306 channels both) this is seldom the case. 
  
-===== Frequently Asked Questions ===== +===== Frequently Asked Questions =====  
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     - Can I do source reconstruction with combined planar and magnetometer channels? ​     - Can I do source reconstruction with combined planar and magnetometer channels? ​
         *Yes, by specifying cfg.coilaccuracy=1 or 2 during ft_preprocessing         *Yes, by specifying cfg.coilaccuracy=1 or 2 during ft_preprocessing
     - Can I do source reconstruction with combined MEG and EEG channels? ​     - Can I do source reconstruction with combined MEG and EEG channels? ​
         * Almost!         * Almost!
-    - How can I visialize ​planar gradient data? +    - How can I visualize ​planar gradient data? 
         *After combining, but also by pulling them apart in side-by-side layouts         *After combining, but also by pulling them apart in side-by-side layouts
-    - How can I do stats with clustering on data from the planar ​gradiomaters+    - How can I do stats with clustering on data from the planar ​gradiometers
         * After combining, or using some smart (still to be defined) neighbourhood definition         * After combining, or using some smart (still to be defined) neighbourhood definition
     - Can I do stats with clustering on combined planar and data?      - Can I do stats with clustering on combined planar and data? 
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         *After combining data from separate runs using ft_appenddata,​ you can run PCA using ft_componentanalysis followed by ft_rejectcomponent such that the rank of your covariance matrix is a number less than 64.         *After combining data from separate runs using ft_appenddata,​ you can run PCA using ft_componentanalysis followed by ft_rejectcomponent such that the rank of your covariance matrix is a number less than 64.
     - Should I use or avoid using MaxFilter? ​     - Should I use or avoid using MaxFilter? ​
-        *It depends+        *It depends ​on several factors, including the level of noise in your recording, the presence of artefacts from outside the helmet and large amounts of head movement. Optimising source-localisation for Maxfiltered data is still under development. N.B. If you used Internal Active Shielding (IAS) running Maxfilter is obligatory