= Introduction tutorials: Editing process =
http://neuroimage.usc.edu/brainstorm/Tutorials

Redactors:

 * '''Francois Tadel''': Montreal Neurological Institute
 * '''Elizabeth Bock''': Montreal Neurological Institute

Reviewers: ''[current reviewing status] ''

 * '''Sylvain Baillet''': Montreal Neurological Institute ''[overview 1-14, edited 20-21]''
 * '''Richard Leahy''': University of Southern California ''[validated 1-20]''
 * '''John Mosher''': Cleveland Clinic ''[edited 22 only]''
 * '''Dimitrios Pantazis''': Massachusetts Institute of Technology ''[validated 1-15]''

<<BR>><<BR>>

== Inverse models ==
=== Tutorial 22: Source estimation ===
[CODE]

 * John: Inverse code: Mixed head models are still not supported.
 * John: Explain the new (incorrect) results obtained with the epilepsy tutorial (see below)
 * John, Richard, Sylvain, Matti, Alex: Make the "median eigenvalue" option the default?
  * John suggests to use the "median eigenvalue" option by default instead of the option "Regularize noise covariance", which as been used for many years.
  * In [[http://neuroimage.usc.edu/brainstorm/Tutorials/SourceEstimation#Advanced_options:_Minimum_norm|this section]] of the tutorials, John wrote: "'''Recommended option''': This author (Mosher) votes for the '''median eigenvalue '''as   being  generally effective. The other options are useful for comparing   with other software packages that generally employ similar   regularization methods."
  * However this modifies a lot the results: the localization results and the MN amplitudes can be very different. If this is a clear improvement, it's good to promote it. But it cannot be done randomly like this, this has to be discussed (especially with Matti and Alex) and tested.
  * John: Please arrange a meeting so you can discuss this question.
 * John, Richard, Sylvain: Why are dSPM values 2x lower than Z-score ?
  * The tutorial says "Z-normalized current density maps are also easy to interpret. They represent explicitly a "deviation from experimental baseline" as defined by the user. In contrast, dSPM indicates the deviation from the data that was used to define the noise covariance used in computing the min norm map. "
  * Therefore should we expect the dSPM values to deviate more from the noise recordings, than the Z-score from the pre-stim baseline? Instead of this we observe much lower values. Is there a scaling issue here? <<BR>><<BR>> {{attachment:diff_zscore_dspm.gif||width="385",height="138"}}
 * Mixing GRAD and MAG:
  * John: You do not recommend processing GRAD and MAG at the same time? This is currently the default behavior in the interface...
  * John: Please discuss this with Matti and Alex
  * Francois: Change the default + add note in Elekta tutorial if change is validated
 * John: Send a message to Margot Taylor: She's been asking for your beamformers for about 3yrs.
 * Francois: Call FieldTrip headmodels and beamformers

[ONLINE DOC]

 * John: Fix all the missing links
 * John, Richard, Sylvain: Section  [[http://neuroimage.usc.edu/brainstorm/Tutorials/SourceEstimation#References_.5BTODO.5D|References]]
 * John, Richard, Sylvain: What do with [[http://neuroimage.usc.edu/brainstorm/Tutorials/Beamformers|Hui-Ling Beamformers]]?

=== Tutorial: Dipole scanning ===
 * Add the description of all the measures in [[http://neuroimage.usc.edu/brainstorm/Tutorials/TutDipScan#Significance_mesures_.5BTODO.5D|this section]].

=== Tutorial EEG/Epilepsy ===
 * Why sLORETA?
 * Location issues with the new code: <<BR>>dSPM is now localizing the spike in a much deeper spot               (top=old version, bottom=new version) <<BR>><<BR>> {{attachment:epilepsy_dspm.gif||width="272",height="233"}}
 * '''Marcel Heers''': "Looking at the findings from             the intracranial EEG in Matthias Dümpelmann's article             (figure 1 panel a) and b)) it is '''very likely the new sources             are wrong'''. Additionally, the older sources are much more in             agreement with Matthias' sLORETA results and with cMEM             findings. Sohrabopour et al. reported as well that their             IRES method found results in agreement with sources shown in             the tutorial."
 * Imported data for testing can be downloaded here:<<BR>> https://www.dropbox.com/s/42d9indpjr8ac1y/TutorialEpilepsy.zip?dl=0

== Filters ==
=== Tutorial 10: Power spectrum and frequency filters ===
[CODE]

 * Richard, Hossein: Define reasonable transient durations
 * Richard, Hossein: Describe the band-stop and notch filters in the same way
 * Richard, Hossein: Frequency resolution in the "freqz" plots for high-pass filters under 0.5Hz
 * Richard, John, Hossein, Sylvain: Weird PSD plots for Elekta recordings

[ONLINE DOC]

 * Richard, Hossein: Section [[http://neuroimage.usc.edu/brainstorm/Tutorials/ArtifactsFilter#Filters_specifications_.5BTODO.5D|Filters specifications]] for band-stop and notch filters

=== Tutorial 13: Artifact cleaning with SSP ===
 * Francois: Check the length needed to filter the recordings (after finishing #10) <<BR>>Section [[http://neuroimage.usc.edu/brainstorm/Tutorials/ArtifactsSsp#SSP_Algorithm_.5BTODO.5D|SSP Algorithm]]

=== Tutorial 15: Import epochs ===
 * Richard, Sylvain, John, Francois: Define recommendations for epoch lengths (after finishing #10)  <<BR>>Section [[http://neuroimage.usc.edu/brainstorm/Tutorials/Epoching#Epoch_length_.5BTODO.5D|Epoch length]]

=== Tutorial 22: Source estimation ===
 * Francois: Update screen capture in section [[http://neuroimage.usc.edu/brainstorm/Tutorials/SourceEstimation#Averaging_in_source_space|Averaging in source space]]

== Tutorial 24: Time-frequency ==
[CODE]

 * Francois: Enable option "Hide edge effects" for Hilbert (after finishing #10)

[ONLINE DOC]

 * Francois: Hilbert: Link back to the filters tutorial (after finishing #10)

== Tutorial 27: Workflows ==
 * Add Chi2(log) ?

== Final steps ==
 * Francois: Remove all the wiki pages that are not used
 * Francois: Check all the links in all the pages
 * Francois: Remove useless images from all tutorials
 * Francois: Reference on ResearchGate, Academia and Google Scholar <<BR>>http://neuroimage.usc.edu/brainstorm/Tutorials/AllIntroduction

== Connectivity ==
 * Not documented at all
 * Richard, Sylvain: Define example dataset and precise results to obtain from them
 * Richard: How to deal with unconstrained sources?<<BR>>  http://neuroimage.usc.edu/forums/showthread.php?2401
 * Richard: How to assess significance from connectivity matrices?
 * Francois, Richard, Hossein: Preparation of a tutorial