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What's next
A roadmap to the future developments of Brainstorm.
Current topics
Functionnal connectivity
Integration of different metrics to study the brain connectivity:
Correlation, coherence, Granger causality, phase locking value- Development of new ways to represent the connectivity between sensors or brain regions
EEG / epilepsy / intra-cranial recordings
- New tools for exploring EEG recordings (custom montages, faster viewer)
- Full EEG/epilepsy online tutorial
- Editing the position of intracranial electrodes in the MRI viewer
Source modeling
- Computation of equivalent current dipoles
- Beamformers
Large scale analysis
- Parallel processing: Reduce the computation times using the parallel processing toolbox
- Distributed processing: Integrate tools for sending Brainstorm processes on computation clusters
Recordings
- RAW file viewer:
- Pre-load next page of recordings
- Allow multiple RAW windows(columns display)
- Screen setups: save configuration of windows
- Time scale: define in fixed s/mm (like the CTF tools)
- Secondary windows: display length of time selection
- If "Use SSP " option is selected, automatically select "Remove baseline" and "CTF compensations"
- Documentation: Add definition of bad segments
- Set the amplitude scale for the time series
2DLayout: Doesn't work when changing page => need refresh of GlobalData.Preferences.TopoLayoutOptions.TimeWindow
EEG reference/storage:
- Intracranial electrodes: Define and display in the MRI viewer + 3D figures
- Re-reference recordings
- 2D topo plots: Display bipolar montages with electrodes positions = average of the two electrodes
- Bad locations: indicate with [NaN NaN NaN] instead of [0 0 0]
- Location of bipolar electrodes: Save the 2 positions in the channel file, with weights=[1 -1]
Bad channels that can be specified at the program level (for sites that have permanently bad channels) => AS Dubarry
- RAW processing:
- Make it work for all the file formats (at least bandpass filter + sin removal)
Events: advanced process for recombining. Example: http://www.erpinfo.org/erplab/erplab-documentation/manual/Binlister.html
Colormaps:
- Create a colormap similar to MNE, where extrema are bright
- Import data:
- Save properties "baseline" and "resample" at the level of the protocol (to re-use for all the files)
- NIRS:
- Add new data type
- Display of sensors by pairs oxy/deoxy (red/blue), overlaid
- Images of amplitude: [sensor x time], [trial x time], scout: [trial x time]
Can be done with Matrix > View as image: extract cluster, concatenate for all trials
- 2D Layout for multiple conditions
Connectivity
- Figures: interaction with sensor selection / scouts selections
- Display NxN as 1xN
- Adapt colormaps for correlation (min and max properties)
- PLV: Add a time integration
- Correlation with delays?
- Work on progress bars
- Circle plot: Display Neuromag sensors
- Event-related coherence?
Processes
- Time-frequency:
- Frequency bands: extended syntax (ex: [2 3 4], 10:5:90, ...)
- Scouts values for timefreq on surfaces
- How to combine 3 orientations for unconstrained sources
- Display logs as negative
- 2D Layout in spectrum
- Make much faster and more memory efficient (C functions coded by Matti ?)
- Smooth display of TF/PAC maps (option)
- TF scouts: should display average of TF maps
- Bandpass: Show warning when using inappropriate high-pass filter (precision too high)
- Artifact detection:
- Detection of bad segments in the RAW files
- Artifact rejection like SPM: if bad in 20%, bad everywhere
- Test difference between adjacent samples
- Distributed processing: Brainstorm that can run without Java
- SSP:
Display warning if changing the ChannelFlag while there is a Projector applied
- When processing multiple files: waitbar is not behaving well
- Improve interface for SSP on imported recordings
- Define SSP from one time point
Show where the attenuation is projected:
(sum(IK,2)-sum(SSP(k,:)*IK,2)./sum(IK,2)
- Average:
- Remember how many trials were used per channel
- Save standard deviation
- Display standard deviation as a halo around the time series
- Co-registration of MEG runs:
- SSP: Group projectors coming from different files
- Finish validation of the method
- Apply to continuous recordings for correcting head movements
Current Source Density (CSD) => Ghislaine
http://psychophysiology.cpmc.columbia.edu/software/CSDtoolbox/index.html- Other processes:
- Detrending
- Moving average
- Max
- Median
- Significance test (Dimitrios, Leo)
- Spatial smoothing: check / document parameters
Contact sheets & movies: use average of time windows instead of single instants, for each picture.
- Optical flow
- Spectrum figure: use bst_selection
Database
- MEG protocols: More flexible organization of the database; sub-conditions to allow different runs X different conditions.
Group matrix files => allow to process matrix files by trial types
- Add notes in the folders (text files, visible as nodes in the tree)
- Screen captures: save straight to the database
Source modeling
- Dipole fitting
- Visualize Beamformer results (contact Zainab Fatima):
- Read CTF SAM .svl
- Create new file type in the database
- Display as layers in the MRI viewer
- Unconstrained sources:
- Compute unconstrained and then project on the normal ?
- Difference and stat should be: norm(A) - norm(B)
- Stat and connectivity: what to do? (re-send email John+Sylvain)
- Overlapping spheres: improve the estimation of the spheres for the frontal lobes
- Volume grid:
- Scouts 3D
- Test volume sources with all the subsequent processes (timefreq, stat...)
- Optimize: 3D display (better that 9x9 cubes)
- Optimize: vol_dilate (with 26 neighbors)
- Magnetic extrapolation:
- Do the same thing with EEG
- Noise covariance matrix:
- Storage of multiple noise covariance matrices (just like the head models)
- Always save as full, then at inversion time, we can decide between full, heteroskedastic (diagonal) or homoskedastic (i.i.d, scalar)
Problem of having inividual trials + averages in the condition => Display warning or not?
- Save nAvg in noisecov file, to make it easier to scale to other recordings
When deploying to other conditions: Apply destination SSP (NoiseCov = SSP . NoiseCov . SSP' )
Sources on surface: Display peak regions over time (time = color) => A.Gramfort
- Simulation: synthesize pseudo data-files from a cortex patch (duration, amplitude, noise)
Calculate ImagingKernel * Gain for a scout
- EEG Source modeling: Manage references and bipolar montages properly (maybe not necessary)
- MEG source modeling: Do reconstruction only for a subset of sensors for estimating dipoles?
Anatomy
- Scouts:
- Mix constrained/unconstrained/volume sources, using the "Source model" atlas
- Display edges in the middle of the faces instead of the vertices
- Project scouts betweens subjects and between hemispheres
- Display scouts in a tree: hemisphere, region, subregion
- Downsample to atlas: allow on timefreq/connect files
- Sort scouts by region in process options
- Generate mixed density surfaces
- Import / registration:
- Major bug when importing surfaces for an MRI that was re-oriented manually
- Use mid-gray instead of pial surface?
Statistics
- ANOVA: Use LENA functions
- Output = 1 file per effect, all grouped in a node "ANOVA"
- Display several ANOVA maps (from several files) on one single figure, using a "graphic accumulator", towards which one can send any type of graphic object
- Permutation tests:
- t-test only (wilcoxon? sign-test?): paired, equal var, unequal var
- nb permutations ~ 1000
- maximum statistic over "time" or "time and space"
- Permutations / clustering: cf fieldtrip
Threshold in time: keep only the regions that are significative for contiguous blocks of time, or over a certain number of time points
=> Process that creates a static representation of a temporal window- t-test on volume sources
- Create icons for Stat/PAC, Stat/Sprectrum, etc.
- One sample t-test across subjects
Input / output
- EEG File formats:
EEG CeeGraph
- EGI: Finish support for epoched files (formats 3,5,7)
FieldTrip structures: In / Out
- BCI2000 Input (via EEGLAB plugin)
- Export TF maps to SPM / volumes
- EEGLAB import: Selection of conditions in script mode
Distribution & documentation
Add Help buttons and menus (in popups, dialog windows...) => Links to the website.
- Introduction tutorials:
- Processes: Describe all the processes
- Clusters
- First steps: Brainstorm preferences
- Headmodel: explain the fields + how to get the constrained leadfield
- Sources: Modelized data
- Sources: theshold min. size (not documented yet)
- Import raw recordings: Add "detect bad trials/channels" in the pipeline
- Temporary folder
- Advanced tutorials:
- EEG (How to import an EEG cap)
Current bugs
- Record tab: Text of epoch number is too big on MacOS
- Menu "Use default EEG cap" doesn't work for a multiple selection (setting the same EEG cap for several subjects)
- in_bst_data_multi: If trials have different sizes, output is random (the one of the first file)
- tree_dependencies: sources files, reprojected on default anatomy; If based on data files that are bad trials, they should be ignored by tree_dependencies, and they are not
- Image viewer has some bugs on some systems
- Screen capture for reports never works: Find another solution
- Close figure with coherence results should hide the "frequency" slider
- Problems growing scouts on merged surfaces (Emily)
Geeky programming details
- Use Matlab Coder to optimize some processes: Bandpass filter, sinusoid removal
- Hide Java panels instead of deleting them
- mri2scs: convert arguments to meters
- bst_warp and channel_project: Use tess_parametrize_new instead of tess_parametrize
- Shared kernels: do the "get bad channels" operation in a different way (reading all the files is too slow)
- Optimize bst_get:
- Now study and subject have necessarily the same folder name
- Replace big switch with separate functions
- Progress bar:
- Add different levels (to handle sub-processes)
- Make work correctly with RAW on resting tutorial
- Uniformize calls in bst_process/Run
- Add a "Cancel" button
- Line smoothing / anti-aliasing (time series figures)