|
Size: 2588
Comment:
|
Size: 8031
Comment:
|
| Deletions are marked like this. | Additions are marked like this. |
| Line 2: | Line 2: |
| http://neuroimage.usc.edu/brainstorm/Tutorials |
|
| Line 9: | Line 7: |
| Reviewers ''[current reviewing status] '' | Reviewers: ''[current reviewing status] '' |
| Line 11: | Line 9: |
| * '''Sylvain Baillet''': Montreal Neurological Institute ''[not started]'' * '''Richard Leahy''': University of Southern California ''[validated 1-9]'' * '''John Mosher''': Cleveland Clinic ''[not started]'' |
* '''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]'' |
| Line 16: | Line 14: |
| Expected timeline (2016) | <<BR>><<BR>> |
| Line 18: | Line 16: |
| * '''March''': Tutorials #1-#21 (interface and pre-processing) * '''April''': Tutorials #22-#24 (source estimation and time-frequency) * '''May-June''': Tutorials #25-#28 (statistics and workflows) * '''July-Sept''': Cross-validation of the pipeline and the results with MNE, FieldTrip and SPM * '''October''': Presentation during a satellite meeting at the Biomag 2016 conference == Tutorial 10: Power spectrum and frequency filters == |
== Inverse models == === Tutorial 22: Source estimation === |
| Line 27: | Line 20: |
| * Richard, John, Sylvain: Finish the evaluation of the band-pass filters used in Brainstorm * Francois: Mark with an extended event the time segments that we cannot trust * Francois: Add warning if recordings are not long enough * Francois: Check that the bandpass filter is always used with enough data (Hilbert transform, SSP) |
* '''John''': Inverse code: Mixed head models are still not supported. * '''John''': Explain the new (incorrect) results obtained with the epilepsy tutorial (see below) * '''John''': Drop the option "RMS source amplitude"? * The documentation is not informative and not encouraging at all: "RMS source amplitude: An alternative definition of SNR, but still under test and may be dropped." * The option is not even accessible in the interface: you successively asked me to disable it for the min norm, and then made me hide the entire section "Regularization parameter" for the dipole modelling and the beamformer. * Can I just remove it from the interface? * Francois: Update code, tutorials and screen captures accordingly * '''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"}} * '''John''': 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 * '''Francois''': Call FieldTrip headmodels and beamformers |
| Line 34: | Line 43: |
| * Richard, John, Sylvain: Section [[http://neuroimage.usc.edu/brainstorm/Tutorials/ArtifactsFilter#What_filters_to_apply.3F_.5BTODO.5D|What filters to apply?]] * Richard, John, Sylvain: Section [[http://neuroimage.usc.edu/brainstorm/Tutorials/ArtifactsFilter#Filters_specifications_.5BTODO.5D|Filters specifications]] |
* '''John''': Fix all the missing links * '''John''': Data covariance: * Recommendations moved to the [[http://neuroimage.usc.edu/brainstorm/Tutorials/NoiseCovariance#Data_covariance|Noise and data covariance tutorial]]. * You said: "Our recommendation for evoked responses is to use a window that spans prestim through the end of the response of interest, with a minimum of 500ms total duration. " * Should I modify the interface (and screen capture of the example) to always include the pre-stim baseline (eg. from -100ms to +500ms, instead of from 0ms to +500ms) ? * '''Francois''': Update the screen capture + code for default selection of the time window |
| Line 37: | Line 50: |
| == Tutorial 13: Artifact cleaning with SSP == * Francois: Check the length needed to filter the recordings (after finishing tutorial #10) <<BR>>Section [[http://neuroimage.usc.edu/brainstorm/Tutorials/ArtifactsSsp#SSP_Algorithm_.5BTODO.5D|SSP Algorithm]] |
=== Tutorial: Dipole scanning === * '''John''': Unfinished sentence in [[http://neuroimage.usc.edu/brainstorm/Tutorials/TutDipScan#Dipole_information|this section]]. |
| Line 40: | Line 53: |
| == 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 EEG/Epilepsy === * '''John''': Why sLORETA? * '''John''': Please address the 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 '''wrote: "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] * '''Hossein, Francois''': Update the code for the band-stop and notch filters in the same way * Look at code in each case and write additional code to compute equivalent impulse response and give transient duration (99%) energy info as well as frequency and impulse response plots to user as we do with the bandpass/lowpass filters. [ONLINE DOC] * '''Hossein, Francois''': Section [[http://neuroimage.usc.edu/brainstorm/Tutorials/ArtifactsFilter#Filters_specifications_.5BTODO.5D|Filters specifications]] for band-stop and notch filters * '''Francois''': Update section "Apply a notch filter" to add the transients in screen capture and text (after the documentation of the notch filter) === Tutorial 13: Artifact cleaning with SSP === * Francois: Fix process_ssp2: * '''Filters are not used correctly''': The code must be updated to add the transient length to the segments that are read, then filter, then remove the transients before computing the SSP * New filters (bst_hfilter) are too slow compared to the the old ones (bst_fft_fir) * Francois: Fix documentation: Section [[http://neuroimage.usc.edu/brainstorm/Tutorials/ArtifactsSsp#SSP_Algorithm_.5BTODO.5D|SSP Algorithm]] === Tutorial 25: Difference === * Francois: Update screen captures for band-pass filter === Tutorial 28: Scripting === * Francois: Update screen captures for band-pass filter === Tutorial epilepsy === * Francois: Update screen captures for band-pass filter === Tutorial visual group === * Francois: Update screen captures for band-pass filter === Tutorial Yokogawa === * Francois: Update screen captures for band-pass filter == Tutorial 27: Workflows == * Add Chi2(log) ? |
| Line 44: | Line 99: |
| * Check that the script tutorial_introduction.m produces the same output as the screen captures * Check all the links in all the pages * Check the number of pages for each tutorial * Reference on ResearchGate, Academia and Google Scholar: <<BR>>http://neuroimage.usc.edu/brainstorm/Tutorials/AllIntroduction |
* Francois: Remove all the wiki pages that are not used * Francois: Check all the links in all the pages * Francois: Check that all the TODO blocks have been properly handled * Francois: Remove useless images from all tutorials * Francois: Update page count on the main tutorials page * 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, Sylvain''': How to deal with unconstrained sources?<<BR>> http://neuroimage.usc.edu/forums/showthread.php?2401 * '''Richard''': How to assess significance from connectivity matrices? * '''Richard, Hossein, Francois''': Preparation of a tutorial * All the functions using bandpass filters must be updated to use the new filters |
Introduction tutorials: Editing process
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]
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: Drop the option "RMS source amplitude"?
- The documentation is not informative and not encouraging at all: "RMS source amplitude: An alternative definition of SNR, but still under test and may be dropped."
- The option is not even accessible in the interface: you successively asked me to disable it for the min norm, and then made me hide the entire section "Regularization parameter" for the dipole modelling and the beamformer.
- Can I just remove it from the interface?
- Francois: Update code, tutorials and screen captures accordingly
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 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?
John: 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
Francois: Call FieldTrip headmodels and beamformers
[ONLINE DOC]
John: Fix all the missing links
John: Data covariance:
Recommendations moved to the Noise and data covariance tutorial.
- You said: "Our recommendation for evoked responses is to use a window that spans prestim through the end of the response of interest, with a minimum of 500ms total duration. "
- Should I modify the interface (and screen capture of the example) to always include the pre-stim baseline (eg. from -100ms to +500ms, instead of from 0ms to +500ms) ?
Francois: Update the screen capture + code for default selection of the time window
Tutorial: Dipole scanning
John: Unfinished sentence in this section.
Tutorial EEG/Epilepsy
John: Why sLORETA?
John: Please address the location issues with the new code:
dSPM is now localizing the spike in a much deeper spot (top=old version, bottom=new version)
Marcel wrote: "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:
https://www.dropbox.com/s/42d9indpjr8ac1y/TutorialEpilepsy.zip?dl=0
Filters
Tutorial 10: Power spectrum and frequency filters
[CODE]
Hossein, Francois: Update the code for the band-stop and notch filters in the same way
- Look at code in each case and write additional code to compute equivalent impulse response and give transient duration (99%) energy info as well as frequency and impulse response plots to user as we do with the bandpass/lowpass filters.
[ONLINE DOC]
Hossein, Francois: Section Filters specifications for band-stop and notch filters
Francois: Update section "Apply a notch filter" to add the transients in screen capture and text (after the documentation of the notch filter)
Tutorial 13: Artifact cleaning with SSP
- Francois: Fix process_ssp2:
Filters are not used correctly: The code must be updated to add the transient length to the segments that are read, then filter, then remove the transients before computing the SSP
- New filters (bst_hfilter) are too slow compared to the the old ones (bst_fft_fir)
Francois: Fix documentation: Section SSP Algorithm
Tutorial 25: Difference
- Francois: Update screen captures for band-pass filter
Tutorial 28: Scripting
- Francois: Update screen captures for band-pass filter
Tutorial epilepsy
- Francois: Update screen captures for band-pass filter
Tutorial visual group
- Francois: Update screen captures for band-pass filter
Tutorial Yokogawa
- Francois: Update screen captures for band-pass filter
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: Check that all the TODO blocks have been properly handled
- Francois: Remove useless images from all tutorials
- Francois: Update page count on the main tutorials page
Francois: Reference on ResearchGate, Academia and Google Scholar
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, Sylvain: How to deal with unconstrained sources?
http://neuroimage.usc.edu/forums/showthread.php?2401Richard: How to assess significance from connectivity matrices?
Richard, Hossein, Francois: Preparation of a tutorial
- All the functions using bandpass filters must be updated to use the new filters