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|  * RAW file viewer:<<BR>> * Bottom bar: display extend events as segments instead of dots (to see their extension)  | 
 * Default montages for EEG (sensor selection) * Sleep scoring wish list (Emily C): * Configurable horizontal lines (for helping detecting visually some thresholds) * Mouse ruler: Measure duration and amplitude by dragging the mouse. * Automatic spindle detector * https://neuroimage.usc.edu/forums/t/page-overlap-while-reviewing-raw-file-a-way-to-set-to-0/11229/13 * RAW file viewer speed:  | 
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|   * Add field "comment" to markers: For clinicians to add notes (Marcel) * Events: Change the category of a selected event easily, instead of deleting/marking new * Events: Advanced process for recombining.<<BR>>Example: http://www.erpinfo.org/erplab/erplab-documentation/manual/Binlister.html * EEG: Laplacian montage (see doc sent by Jeremy) * Bad trials: When changing the status of bad to good: remove the bad segments as well, otherwise it is not processed by processes like the PSD. * Review clinical recordings: Reduce the dimensionality of the data with a simple inverse problem, similar to what we do for the magnetic extrapolation ("Regional sources" in BESA, cf S Rampp)  | 
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|  * 2DLayout: * Does not work when DC offset is not removed * Add a proper amplitude scale that gets updated when shift+scroll, to compare figures  | 
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|  * BioSemi: Add menu "Convert naming system" to rename channels into 10-10 (A1=>FPz) * Simulations: https://github.com/lrkrol/SEREEGA * Integrate with EYE-EEG (Olaf Dimigen) * Reproduce tutorial: https://www.eyetracking-eeg.org/tutorial.html  | 
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| * Rename protocol | |
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|  * Multiple screens: Add option to set on which display the main bst window should be * File filters: Add boolean logic: https://github.com/brainstorm-tools/brainstorm3/issues/68  | 
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| * Create a colormap similar to MNE, where extrema are bright | |
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|   * Set parula (or others) as the default, not jet: https://bids.github.io/colormap/ * https://jakevdp.github.io/blog/2014/10/16/how-bad-is-your-colormap/ * https://www.youtube.com/watch?v=xAoljeRJ3lU * Open new figures as tab (docked in the Figures window)  | 
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|  * Display warning before opening files that are too big * Smooth display from figure_image (ERPimage, raster plot...)  | 
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| * Use boundary() instead of conhull() in all the display functions (ie. 2DDisc) | * Progress bar: Add a "Cancel" button * Error message: Add a link to report directly the bug on the forum * Reorganize menus (Dannie's suggestion): {{attachment:dannie_menus.png||width="382",height="237"}}  | 
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| * Thresholding and stat tests the connectivity matrices | * Thresholding and stat tests for connectivity matrices | 
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|  * Display of connectivity graphs: * Display as straight lines * Recode 2D graphs * 3D display with anatomical constrains * Display using real position of EEG electrodes * Use new band-pass filters in bst_connectivity ('bst-hfilter' instead of 'bst-fft-fir') * Review by Jan-Mathijs: http://journal.frontiersin.org/article/10.3389/fnsys.2015.00175/full * Connectivity based on band limited power (Sylvain): * Compute Hilbert/Bandpass + correlation of the envelopes * Bandpass envelopes before computing correlations? * Compute Hilbert(sensors) and then project to source space? * Matrix view of NxN graphs: Add legend of the elements along X and Y axis * Graph view: * Does not display negative values correctly (correlation or difference of coherence) * Re-write using pure Matlab code and smoothed graphics * Fixed scales for intensity sliders * Text bigger * Too much data in appdata * Fixed scales for intensity sliders * Add "=" shortcut for having graphs with similar configurations * Disable zoom in one region (serious bugs) * NxN on sensors: does not place the sensors correctly in space * Coherence: * Average cross-spectra instead of concatenating epochs (to avoid discontinuities)<<BR>>Explore inter-trial approaches (Esther refers to chronux toolbox) * Granger: * Crashes sometimes: improve stability * Check for minimum time window (Esther: min around 500-1000 data points) * Re-write and optimize code * Add progress bar  | 
 * Connect NxN display: * Graph on sensors: does not place the sensors correctly in space * Display as image: Add legend of the elements along X and Y axis * Display as time series: Display warning before trying to open too many signals * Optimize display: use surface() instead of line() for links? (as in figure_3d/PlotFibers) * Time-resolved correlation/coherence: Display as time bands * Weighted Phase Lag Index (WPLI) * Coherence: Average cross-spectra instead of concatenating epochs (to avoid discontinuities)<<BR>>Explore inter-trial approaches (Esther refers to chronux toolbox) * Granger: Check for minimum time window (Esther: min around 500-1000 data points)  | 
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| * Add p-values | |
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| * Optimize code | |
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|  * PAC: * Add input TF , to disconnect TF decomposition and PAC computation (Peter) * Refine frequency vector of low frequencies * How many central frequencies to use in bst_pac? * Change filters: no chirplet functions * bst_freqfilter: Use nfcomponents like in bst_pac * Esther recommended a larger frequency binning of the PAC estimation * PAC maps: Display all sensors at once (like TF and DynamicPAC) * Hui-Ling's PAC: * https://bsp.hackpad.com/Cross-Frequency-Coupling-cChe95lhDHz * https://github.com/NCTU-BSP/MEEG * Time-resolved correlation/coherence: Display as time bands * Other metrics: * Coherence by bands: bst_coherence_band_welch.m * Granger by bands: bst_granger_band.m * Inter-trial coherence * Tutorial coherence [1xN] : Reproduce FieldTrip results? * Connect NxN: Display as time series > Display warning before trying to open too many signals  | 
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|  * Use CUDA for speeding up some operations (filtering, wavelets, etc) * Allow processes in Python and Java  | 
 * Plugin manager: * Export all the software environment to a .zip file (brainstorm + all plugins) * Generate fully reproducible scripts, including all the interactive/graphical parts: * Saving all the interactive operations as process calls * Improving the pipeline editor to handle loops over data files or subjects * Keeping a better track of the provenance of all the data (History, uniform file names)  | 
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|   * scikit-learn classifiers: S Marti / G Dehaene * Implement data exchange with MNE-Python: write FIF files from Brainstorm and/or pass python objects in memory instead of FIF files * SSS/tSSS cleaning  | 
  * scikit-learn classifiers * https://neuroimage.usc.edu/forums/t/ica-on-very-long-eeg/23556/4 * https://neuroimage.usc.edu/forums/t/best-way-to-export-to-mne-python/12704/3  | 
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|   * Point-spread functions (PSFs) and cross-talk functions: https://mne.tools/stable/auto_examples/inverse/plot_psf_ctf_vertices.html#sphx-glr-auto-examples-inverse-plot-psf-ctf-vertices-py * Spatial resolution metrics in source space:<<BR>>https://mne.tools/stable/auto_examples/inverse/plot_resolution_metrics.html#sphx-glr-auto-examples-inverse-plot-resolution-metrics-py  | 
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| * ft_prepare_sourcemodel: Compute MNI transformation (linear and non-linear) => Peter | * ft_prepare_heamodel: Add support from BEM surfaces from the Brainstorm database | 
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| * ft_read_atlas('TTatlas+tlrc.BRICK'); | |
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| * Decoding/Classifiers: Faster algorithms (MNE-Python?) |  * Optimization: * Use CUDA for speeding up some operations (filtering, wavelets, etc) * Use Matlab Coder to optimize: Wavelets, bandpass filter, sinusoid removal  | 
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|   * Add Alex's suggestions: https://neuroimage.usc.edu/forums/t/ica-on-very-long-eeg/23556/4 * Add methods: SOBI, Fastica, AMICA/CUDICA/CUDAAMICA (recommended by S Makeig)  | 
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| * Add a stand-alone tutorial | |
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|   * Use faster methods (MNE-Python?) * Add methods: SOBI, Fastica, AMICA/CUDICA (recommended by S Makeig)  | 
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|   * S Makeig: Use ICA to select the IC of interest instead of only removing artifacts * Display of spectrum for components (PSD/FFT) * Use FastICA (algo crashing) * Add components preselection: Correlation with EOG/ECG  | 
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| * Save IC time series in database | |
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|  * Other EEGLAB functions: * Step function detection: https://github.com/lucklab/erplab/wiki/Artifact-Detection:-Tutorial  | 
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|   * Show where the attenuation is projected:<<BR>>(sum(IK,2)-sum(SSP(k,:)*IK,2)./sum(IK,2) * Pipeline editor: * When computing sources from the pipeline editor: doesn't reselect the options if you click twice on "edit" (works for minnorm, but not for lcmv) * When computing time-frequency/hilbert/psd: Find a way not to force the user to click on Edit * Bandpass: * Use new filters in all the functions using a bandpass ('bst-hfilter' instead of 'bst-fft-fir'): process_evt_detect_threshold * Weird bug: Filter(import) != Import(Filter) in the HCP tutorial... to investigate * Bandpass * Spectral flattening (John): * ARIMA(5,0,1): Apply on the signal before any frequency/connectivity/PAC analysis * PSD: * Rewrite to have the same input as coherence (frequency resolution instead of window length) * Use the progress bar * Allow display of Avg+StdErr  | 
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|  * Use Matlab Coder to optimize some processes: Wavelets, bandpass filter, sinusoid removal * Reports: Click on link reopens exactly the figure  | 
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|   * Matching pursuit: http://m.jneurosci.org/content/36/12/3399.abstract?etoc * Bug: Display logs as negative * Bug: 3D figures: Colormaps with "log" option doesn't work * Bug: Difference of power displayed in log: problems (Soheila) * 2D Layout in spectrum * Make much faster and more memory efficient (C functions coded by Matti ?) * TF scouts: should display average of TF maps * Impossible to keep complex values for unconstrained sources * Pad short epochs with zero values for getting lower frequencies  | 
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| * Extend clusters tab to display of TF to overlay TF signals (Svet) | |
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| * Allow baseline normalization of files computed with time bands | |
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|  * Artifact detection: * Artifact rejection like SPM: if bad in 20%, bad everywhere * Test difference between adjacent samples * Events detection: Add option "std" vs "amplitude" * 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 * Simulation: * Fix units in simulation processes => no *1e-9 in "simulate recordings" * Use "add noise" process from Hui-Ling (in Work/Dev/Divers) * Use field process field "Group" to separate Input/Processing/Output options * Use new Matlab functions: movmean, movsum, movmedian, movmax, movmin, movvar, movstd * Process ft_prepare_heamodel: Add support from BEM surfaces from the Brainstorm database == Database == * Faster DB searches (for Emily) * Add buttons to sort files: by name, by comment, by date * MEG protocols: More flexible organization of the database; sub-conditions to allow different runs X different conditions. * Matrix files: Allow to be dependent from other files * Add notes in the folders (text files, visible as nodes in the tree) * Screen captures: save straight to the database * Rename multiple files * Default headmodel lost when reloaded: Keep selection on the hard drive (in brainstormstudy.mat) * Auto-save: * protocol.mat can be too big: do not store the results links in it (and recreate when loading)- http://neuroimage.usc.edu/forums/t/abnormally-slow-behavior/2065/10 * Improve auto-save: add tracking file next to protocol.mat, do not save all the time, only when closing app, and reload protocol at stratup if tracking file is still there == Distributed computing == * Options from FieldTrip: * Loose collection of computers: https://github.com/fieldtrip/fieldtrip/tree/master/peer * Alternative, with less limitations: http://research.cs.wisc.edu/htcondor/ * Single multicore machine: https://github.com/fieldtrip/fieldtrip/tree/master/engine * Batch system: https://github.com/fieldtrip/fieldtrip/tree/master/qsub * Documentation: http://fieldtrip.fcdonders.nl/faq#distributed_computing_with_fieldtrip_and_matlab * PSOM: http://psom.simexp-lab.org/ * Various initiatives: http://samirdas.github.io/Data_sharing.html#/  | 
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|  * Unconstrained sources: * Unconstrained to flat: Default PCA for stat and connectivity? * Process "Scouts time series": Add PCA option (replace isnorm with radio PCA/Norm) * Reproduce results in "Simultaneous human intracerebral stimulation and HD-EEG, ground-truth for source localization methods": https://www.nature.com/articles/s41597-020-0467-x * eLORETA instead of sLORETA? * https://neuroimage.usc.edu/forums/t/compute-eeg-sources-with-sloreta/13425/6 * "eLORETA algorithm is available in the MEG/EEG Toolbox of Hamburg (METH)": https://www.biorxiv.org/content/biorxiv/early/2019/10/17/809285.full.pdf * https://github.com/brainstorm-tools/brainstorm3/issues/114 * Sensitivity maps: https://mne.tools/stable/auto_examples/forward/plot_forward_sensitivity_maps.html * Point-spread and cross-talk functions (code in MNE-Python): * https://www.biorxiv.org/content/biorxiv/early/2019/06/18/672956.full.pdf * https://github.com/olafhauk/EEGMEGResolutionAtlas  | 
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| * Display dipoles in MRI viewer | |
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|  * Project sources: Very poor algorithm to project sub-cortical regions and cerebellum (algorithm to fit surfaces should be imrpoved) * Menu head model > Copy to other conditions/subjects (check if applicable first) * Menu Sources > Maximum value: Doesn't work with volume or mixed head models * Mixed head models: <<BR>> * Set loose parameter from the interface  | 
 * Project sources: Very poor algorithm to project sub-cortical regions and cerebellum * Mixed head models: Bug when displaying interpolated in MRI viewer * Maximum: * Menu Sources > Maximum value: Doesn't work with volume or mixed head models * Panel Get coordinates: Add button "find maximum" * Sources on surface: Display peak regions over time (time = color) => A.Gramfort * BEM single sphere: Get implementation from MNE  | 
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|  * Menu Sources > Simulate recordings: * Do not close the 3D figures after generating a new file * Add a process equivalent to this menu * Panel Get coordinates: Add button "find maximum" * BEM single sphere: Get implementation from MNE * Visualize Beamformer results: * Read CTF SAM .svl * Display as layers in the MRI viewer * Unconstrained sources: * Stat and connectivity: what to do? (re-send email John+Sylvain) * Overlapping spheres: improve the estimation of the spheres for the frontal lobes * Magnetic extrapolation: Do the same thing with EEG * Noise covariance matrix: * Display with figure_image() * 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 * Sources on surface: Display peak regions over time (time = color) => A.Gramfort * Calculate ImagingKernel * Gain for a scout * Time-frequency beamformers: * Band-pass everything in different frequency bands + Source estimation + TF * Ask data to Sarang where he sees effects that cannot be extracted with MN followed by TF * Process "Extract scouts time series": Add PCA option (replace isnorm with choice PCA/Norm) * BEM: Fix unstable results when one vertex is too close from the layers (5mm ?) * Hui-Ling beamformers: * More explanations about what is in NAI and Spatial filters * Explain that is this is better to study effects extended in time (Ntime > Nsensors) * Group LCMV+MCB * Condition LEFT median nerve: very bad results * Keep options for inverse computation * OpenMEEG: Post example datasets for the remaining issues: * https://github.com/openmeeg/openmeeg/issues/64 * https://github.com/openmeeg/openmeeg/issues/68 * Example protocol ECOG: doesn't work  | 
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| * Display spectrum scouts (PSD plots when clicking on "Display scouts" on PSD/full cortex) | |
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|  * BrainVISA: Add support for MarsAtlas * MNI transformation: Use non-linear MNI transformation y_... * Registration:<<BR>> * Getting electrode positions from 3D scanners: https://sccn.ucsd.edu/wiki/Get_chanlocs * GARDEL: http://meg.univ-amu.fr/wiki/GARDEL:presentation * Use the same registration for multiple recording sessions that have already re-registered previously (eg. with MaxFilter) * When linking multiple EEG recordings including 3D positions, do the registration only once and copy it to all the runs * Check templates: MNI transformation and volume atlases for ICBM152 vs Colin27 (loading the AAL atlas as surface or voume scouts do not align well on the ICBM152) * Compute non-linear MNI registration instead of linear * Select and remove bad digitized head points before automatic coregistration * Load the MNE -transf.fif: http://neuroimage.usc.edu/forums/showthread.php?2830  | 
 * BEM surfaces: Deform fieldtrip BEM surfaces from ICBM152 to subject space with MNI coordinates? * Simple-brain-plot: https://github.com/dutchconnectomelab/Simple-Brain-Plot * MRI segmentation: * Start BrainSuite * Start FreeSurfer * SimNIBS: Replace HEADRECO with CHARM (headreco will be removed in SimNIBS 4) * FastSurfer: https://deep-mi.org/research/fastsurfer/ * MNI normalization: More options: * DARTEL / SHOOT * BrainSuite (wait for Anand)  | 
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| * Add display of "world coordinates" when "vox2ras" is available | |
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| * Add keyboard shortcuts to scroll in the three orientations (same in MRI 3D) | |
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|   * Render surface envelope in the MRI as a thin line instead of the full interpolation matrix * Edit fiducials: Replace 6 text boxes with 1 for easy copy-paste (see fiducials.m) * Optimize computation interpolation MRI-surface (tess_tri_interp) => spm_mesh_to_grid  | 
  * Render surface envelope in the MRI as a thin line instead of the full interpolation matrix<<BR>>Or use inpolyhedron to get a surface mask and then erode it to get the volume envelope * Surface>Volume interpolation: Use '''spm_mesh_to_grid''' instead of tess_tri_interp * Defacing: * https://afni.nimh.nih.gov/pub/dist/doc/htmldoc/tutorials/refacer/refacer_run.html * Removing MNI face mask using MNI coordinates * Atlas switch in 3D MRI figures * ICBM152 update: * Process with FreeSurfer 7.1 + add FS atlases (Brainnettome, Schaeffer, HCP...) * Add volume atlases (+ reimport ASEG as volatlas) * Add facemask => Use for defacing with any MNI registration * Add T2?  | 
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|   * Add new labels to all BrainSuite anatomy templates * Use BrainSuite inner skull for surface generation  | 
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|   * Use for volume coregistration (rigid / non-rigid) * USCBrain: Add default electrodes positions * Remove BrainSuite1 when not needed anymore * Templates for different ages: * Pediatric head atlases: https://www.pedeheadmod.net/pediatric-head-atlases-v1-2/ * https://iopscience.iop.org/article/10.1088/2057-1976/ab4c76 * https://www.biorxiv.org/content/biorxiv/early/2020/02/09/2020.02.07.939447.full.pdf * John Richards: https://www.nitrc.org/frs/?group_id=1361 * Neurodev database: https://jerlab.sc.edu/projects/neurodevelopmental-mri-database/  | 
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|   * Display scouts in a tree: hemisphere, region, subregion * Sort scouts by region in process options * Downsample to atlas: allow on timefreq/connect files  | 
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|  * Major bug when importing surfaces for an MRI that was re-oriented manually * Smooth surface: Fix little spikes due to irregularities in the mesh * Surface>Volume interpolation: Use spm_mesh_to_grid * Bug: Hide scouts in the preview of the grid for volume head models  | 
* Geodesic distance calculations:<<BR>>https://www.mathworks.com/matlabcentral/fileexchange/6110-toolbox-fast-marching | 
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|  * Electrode models: Better way for managing/updating/adding electrode models * SEEG: Project contacts to SEEG / Compare with IntrAnat * Contact positions: Import / set / detect<<BR>>  | 
* Contact positions: Import / set / detect | 
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|   * Add history: Save modifications and transformations applied to the channel files (Marcel) * ECOG: How to handle cases where not all the grid contacts are in the channel file? (Marcel)  | 
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|   * ECOG: Default names of contacts? * Add menu to import implantation channel file in imported recordings  | 
 * Create clusters from anatomical labels: * Identify contacts in a given anatomical region (volume scout, surface mesh, or label in a volume atlas) / allow extracting the signals from all the contacts in an ROI  | 
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|   * Arnulfo: https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-015-0511-6 * MAP07 / SPM: https://www.epi.ch/_files/Artikel_Epileptologie/Huppertz_2_13.pdf  | 
  * SEEG DEETO Arnulfo 2015: https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-015-0511-6 * Used routinely at Niguarda Hospital + other hospitals worldwide, reliable tool. * To be used with SEEG-assistant/3DSlicer: https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-017-1545-8 * ECOG Centracchio 2021: https://link.springer.com/content/pdf/10.1007/s11548-021-02325-0.pdf * Classifier on thresholded CT: https://github.com/Jcentracchio/Automated-localization-of-ECoG-electrodes-in-CT-volumes * SEEG Granados 2018 (no code shared): https://link.springer.com/content/pdf/10.1007/s11548-018-1740-8.pdf  | 
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| * ECOG: Brain shift: When creating contact positions on a post-implantation image, the brain shift should be taken into account for creating images of the ECOG contacts on the pre-op brain => iELVis (http://ielvis.pbworks.com/w/page/116347253/FrontPage) | * ECOG: Brain shift: When creating contact positions on a post-implantation image, the brain shift should be taken into account for creating images of the ECOG contacts on the pre-op brain => iELVis (http://ielvis.pbworks.com/w/page/116347253/FrontPage) <<BR>>Normalization MNI? solutions with FieldTrip? | 
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|   * Display wires for ECOG? * Re-referencing: * Create new average reference montages with a specific list of channels, with the possibility to edit the order of the channels (for Jeremy) * Closest white reference (Arnulfo)  | 
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| * Alternatives to OpenMEEG: SimBio/FieldTrip? Matti Stenroos? NFT/NIST? | |
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|  * Stat on connectivity? * Stat on unconstrained sources?  | 
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| * Use LENA functions(?) | * Write panel similar to Process1 and Process2 | 
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* New process to test for Gaussianity using swtest * Simulate recordings with specific properties, for stat validation * Quality control before statistics, on condition averages across subjects:<<BR>>mean(baseline)/std(baseline): shows bad subject quickly. * Use SurfStat: Impements interesting things, like an analytical cluster-based p-value correction (Random-field theory which is used in SPM) - Peter  | 
* Multivariate stim-response analysis: https://github.com/mickcrosse/mTRF-Toolbox | 
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|  * '''XDF import''': Use the EEGLAB plugin, contact Martin Bleichner (Oldenburg) * Output .nii have incorrect sform/qform when using the options to downsample the volume of cut the empty slices  | 
 * BIDS import: * Read real fiducials (OMEGA) / transformation matrices: * https://groups.google.com/g/bids-discussion/c/BeyUeuNGl7I * https://github.com/bids-standard/bids-specification/issues/752#issuecomment-795880992 * Read associated empty room * BIDS export: * Add events tsv, channel tsv, EEG, iEEG * BIDS-Matlab? * Support for OpenJData / JNIfTI: https://github.com/brainstorm-tools/brainstorm3/issues/284  | 
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|  * FieldTrip: Import/Export time-frequency: * Export: http://neuroimage.usc.edu/forums/t/export-time-frequency-to-fieldtrip/1968 * Import: http://neuroimage.usc.edu/forums/t/import-time-frequency-data-from-fieldtrip/2644 * 4D file format: * Use reader from MNE-Python: mne.io.read_raw_kit (doesn't require Yokogawa slow library) * Reference gradiometers: Keep the orientation of the first or second coil? * Reference gradiometers: Add the sensor definition from coil_def.dat * Validate with phantom recordings that noise compensation is properly taken into account * References at too far from the head sensors in Marseille 4D system * The noise compensation is considered to be always applied on the recordings, not sure this assumption is always correct * 4D phantom tutorial (JM Badier?)  | 
* SPM .mat/.dat: Fix the import of the EEG/SEEG coordinates | 
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|   * EEG CeeGraph * EGI: Finish support for epoched files (formats 3,5,7)  | 
* XDF: https://github.com/sccn/xdf | 
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|   * gTec EEG recordings: Read directly from the HDF5 files instead of the Matlab exports. * BCI2000 Input (via EEGLAB plugin) * EEGLAB import: * Support for binary AND epoched files (now it's one or the other) * Allow epoched files with recordings saved in external files * BST-BIN: Add compressionto .bst * Review raw on all the file formats (ASCII EEG and Cartool missing) * SPM .mat/.dat: Fix the import of the EEG/SEEG coordinates * Get acquisition date from files: Missing for 4D  | 
  * BCI2000 Input (via EEGLAB plugin) * 4D file format: * Use reader from MNE-Python: mne.io.read_raw_kit (skip Yokogawa slow library) * Reference gradiometers: Keep the orientation of the first or second coil? * Reference gradiometers: Add the sensor definition from coil_def.dat * Validate with phantom recordings that noise compensation is properly taken into account * The noise compensation is considered to be always applied on the recordings, not sure this assumption is always correct * 4D phantom tutorial (JM Badier?) * BST-BIN: Add compression to .bst  | 
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|  * Add tags to the forum posts for easier listing by topic | 
 * All tutorial datasets in BIDS (including introduction tutorials) * Count GitHub clones in the the download stats * Deface the MRIs of all the tutorials  | 
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| * Update the organization of derivatives folder (same for ECOG tutorial) | |
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| * Rat PAC + high gamma (Soheila) | |
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| * FieldTrip cortico-muscular coherence tutorial: http://www.fieldtriptoolbox.org/tutorial/coherence | |
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* MEG steady-state / high-gamma visual / frequency tagging * BIDS-EEG example datasets * Stand-alone ICA tutorial * Move all the files to download on the cloud for faster download everywhere in the world * Provide secure way of sending password over HTTPS for: * Account creation * Forum exchanges * org.brainstorm.dialog.CloneControl * Workflows FieldTrip: http://www.fieldtriptoolbox.org/faq/what_types_of_datasets_and_their_respective_analyses_are_used_on_fieldtrip * Count GitHub clones in the the download stats * Google Analytics: Create template and update the section of the Community page * Deface the MRIs of all the tutorials * Compiled R2016b: Color picker doesn't work (for changing surface color for instance) * Clean up the wiki: * Remove all the wiki pages that are not used * Check all the links in all the pages * Check that all the TODO blocks have been properly handled * Remove useless images from all tutorials * Update page count on the main tutorials page  | 
  * MEG steady-state / high-gamma visual / frequency tagging * Reproduce results from "Simultaneous human intracerebral stimulation and HD-EEG, ground-truth for source localization methods": https://www.nature.com/articles/s41597-020-0467-x * Stand-alone ICA tutorial  | 
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|  * Screen capture: * Bug on Win8/Win10: doesn't capture the correct part of the screen * Window managers with fading effect: captures the top window  | 
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|  * MacOS 10.14.5 (Mojave): * Toggle buttons do not show their status * Panel Record: Text is too large for text boxes  | 
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|  * Matlab bugs: * Interface looks small on screens with very high resolutions: Reduce the resolution * Event markers are not visible anymore with the sequence: Open MEG, open EOG, close MEG * in_bst_data_multi: If trials have different sizes, output is random (the one of the first file) * Edit scout in MRI: small modifications cause huge increase of the scout size * Canolty maps computation: Fix progress bar  | 
== Distributed computing == * Options from FieldTrip: * Loose collection of computers: https://github.com/fieldtrip/fieldtrip/tree/master/peer * Single multicore machine: https://github.com/fieldtrip/fieldtrip/tree/master/engine * Batch system: https://github.com/fieldtrip/fieldtrip/tree/master/qsub * Documentation: https://www.fieldtriptoolbox.org/faq/what_are_the_different_approaches_i_can_take_for_distributed_computing/ * PSOM: http://psom.simexp-lab.org/  | 
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| * bst_bsxfun: After 2016b, we can use directly the scalar operators (./ .* ...) instead of bsxfun. Update bst_bsxfun to skip the use of bsxfun when possible. | * Replace all calls to inpolyhd.m with inpolyhedron.m (10x faster) | 
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| * Hide Java panels instead of deleting them | |
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|  * bst_warp and channel_project: Use tess_parametrize_new instead of tess_parametrize * Shared kernels: "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 * Fix all the 'todo' blocks in the code * Error message: Add a link to report directly the bug on the forum  | 
What's next
A roadmap to the future developments of Brainstorm.
Contents
Recordings
- Default montages for EEG (sensor selection)
 - Sleep scoring wish list (Emily C): 
- Configurable horizontal lines (for helping detecting visually some thresholds)
 - Mouse ruler: Measure duration and amplitude by dragging the mouse.
 - Automatic spindle detector
 https://neuroimage.usc.edu/forums/t/page-overlap-while-reviewing-raw-file-a-way-to-set-to-0/11229/13
 - RAW file viewer speed: 
- Downsample before filtering? (attention to the filter design)
 - Add parameter to make the visual downsampling more or less aggressive
 - Pre-load next page of recordings
 - Keep the filter specifications in memory instead of recomputing for every page
 
 - MEG/EEG registration: Apply the same transformation to multiple runs
 - Create heat maps: Maybe with matlab function heatmap?
 BioSemi: Add menu "Convert naming system" to rename channels into 10-10 (A1=>FPz)
Simulations: https://github.com/lrkrol/SEREEGA
- Integrate with EYE-EEG (Olaf Dimigen) 
Reproduce tutorial: https://www.eyetracking-eeg.org/tutorial.html
 
Interface
Add a warning when computing a forward model with > 100000 sources (check selection)
- Snapshot: Save as image / all figures (similar to Movie/all figure)
 Generalize the use of the units (field .DisplayUnits): Rewrite processes to save the units correctly
- Colormaps: 
- Allow brightness/contrast manipulations on the custom colormaps
 - Global colormap max: Should get the maximum across all the open files
 
 - Copy figures to clipboard (with the screencapture function)
 Contact sheets & movies: use average of time windows instead of single instants, for each picture.
- Contact sheets: Allow explicit list of times in input (+ display as in MNE-Python with TS)
 - Display CTF coils: Show discs instead of squares
 - Progress bar: Add a "Cancel" button
 - Error message: Add a link to report directly the bug on the forum
 Reorganize menus (Dannie's suggestion):
 
Connectivity
- Thresholding and stat tests for connectivity matrices
 - Connectivity on unconstrained sources: "Default signal extraction for volume grids should be the time series of the first principal component of the triplet signals after each has been zero-meaned" (SB)
 - Connect NxN display: 
- Graph on sensors: does not place the sensors correctly in space
 - Display as image: Add legend of the elements along X and Y axis
 - Display as time series: Display warning before trying to open too many signals
 - Optimize display: use surface() instead of line() for links? (as in figure_3d/PlotFibers)
 
 - Time-resolved correlation/coherence: Display as time bands
 - Weighted Phase Lag Index (WPLI)
 Coherence: Average cross-spectra instead of concatenating epochs (to avoid discontinuities)
Explore inter-trial approaches (Esther refers to chronux toolbox)- Granger: Check for minimum time window (Esther: min around 500-1000 data points)
 - PLV: 
- Remove evoked
 - Add time integration
 - Unconstrained sources
 - Add warning when running of short windows (because of filters)
 
 
Processes
- Plugin manager: 
- Export all the software environment to a .zip file (brainstorm + all plugins)
 
 - Generate fully reproducible scripts, including all the interactive/graphical parts: 
- Saving all the interactive operations as process calls
 - Improving the pipeline editor to handle loops over data files or subjects
 - Keeping a better track of the provenance of all the data (History, uniform file names)
 
 - Add MNE-Python functions: 
- scikit-learn classifiers
 https://neuroimage.usc.edu/forums/t/ica-on-very-long-eeg/23556/4
https://neuroimage.usc.edu/forums/t/best-way-to-export-to-mne-python/12704/3
- Reproduce other tutorials / examples
 Point-spread functions (PSFs) and cross-talk functions: https://mne.tools/stable/auto_examples/inverse/plot_psf_ctf_vertices.html#sphx-glr-auto-examples-inverse-plot-psf-ctf-vertices-py
Spatial resolution metrics in source space:
https://mne.tools/stable/auto_examples/inverse/plot_resolution_metrics.html#sphx-glr-auto-examples-inverse-plot-resolution-metrics-py- Change the graphic renderer from Matlab
 
 Add FieldTrip functions:
- ft_sourceanalysis: 
- Check noise covariance
 - Check all the options of all the methods
 - Single trial reconstructions + noise covariance?
 Filters?? http://www.fieldtriptoolbox.org/example/common_filters_in_beamforming
Beamformers: Save ftSource.avg.mom
http://www.fieldtriptoolbox.org/workshop/meg-uk-2015/fieldtrip-beamformer-demohttp://www.fieldtriptoolbox.org/tutorial/beamformingextended
- Baseline? Two inputs?
 
 - ft_prepare_heamodel: Add support from BEM surfaces from the Brainstorm database
 - Freqanalysis: ITC
 ft_volumereslice: http://www.fieldtriptoolbox.org/faq/how_change_mri_orientation_size_fov
- ft_freqanalysis
 - ft_combineplanar
 
- ft_sourceanalysis: 
 - Optimization: 
- Use CUDA for speeding up some operations (filtering, wavelets, etc)
 - Use Matlab Coder to optimize: Wavelets, bandpass filter, sinusoid removal
 
 - Pipeline editor: 
- Bug: After "convert to continuous", the time of the following processes should change
 - Add loops over subjects/conditions/trial groups
 - Events: Allow selection from a drop-down list (similar to option "channelname" in panel_process_selection)
 
 ITC: Inter-trial coherence (see MNE reports for group tutorial)
http://www.sciencedirect.com/science/article/pii/S1053811916304232- ICA: 
Add Alex's suggestions: https://neuroimage.usc.edu/forums/t/ica-on-very-long-eeg/23556/4
- Add methods: SOBI, Fastica, AMICA/CUDICA/CUDAAMICA (recommended by S Makeig)
 - Why doesn't the ICA process converge when using 25 components in the EEG tutorial?
 - Add an option to resample the signals before computing the ICA decomposition
 - Exploration: Add window with spectral decomposition (useful for muscle artifacts)
 - Export IC time series (and then compute their spectrum): solves the problem above
 Comparison JADE/Infomax:
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0030135Dimension reduction with PCA adds artifacts: Not done by default in EEGLAB
Contact: Stephen Shall Jones ( shall-jones@infoscience.otago.ac.nz )
Student Carl Leichter detailed this in his thesis- Import ICA matrices available in EEGLAB .set files
 EEGLAB recommends ICA + trial rejection + ICA again: Impossible right now with Brainstorm
(http://sccn.ucsd.edu/wiki/Chapter_09:_Decomposing_Data_Using_ICA)ICA+machine learning: https://www.ncbi.nlm.nih.gov/pubmed/28497769
Automated artifact rejection: https://arxiv.org/abs/1612.08194
Use EYE-EEG: EEGLAB toolbox for eye-tracker guided ICA (Olaf Dimigen): http://www2.hu-berlin.de/eyetracking-eeg/
 - SSP: 
Display warning if changing the ChannelFlag while there is a Projector applied
 Remove line noise: http://www.nitrc.org/projects/cleanline
- Time-frequency: 
- Optimization: bst_timefreq (around l.136), remove evoked in source space: Average should be computed in sensor space instead of source space (requested by Dimitrios)
 Short-time Fourier transform: http://www.mikexcohen.com/lectures.html
- Hilbert with time bands very slow on very long files (eg. 3600s at 1000Hz) because the time vector is still full (10^7 values): save compressed time vector instead.
 - When normalizing with baseline: Propagate with the edge effects marked in TFmask
 - Allow running TF on montages
 - Review continuous files in time-frequency space (for epilepsy)
 - Bug when computing TF on constrained and unconstrained scouts at the same time (in mixed head models for instance): uses only the constrained information and doesn't sum the 3 orientations for the unconstrained regions.
 
 
Source modeling
- Unconstrained sources: 
- Unconstrained to flat: Default PCA for stat and connectivity?
 - Process "Scouts time series": Add PCA option (replace isnorm with radio PCA/Norm)
 
 Reproduce results in "Simultaneous human intracerebral stimulation and HD-EEG, ground-truth for source localization methods": https://www.nature.com/articles/s41597-020-0467-x
- eLORETA instead of sLORETA? 
https://neuroimage.usc.edu/forums/t/compute-eeg-sources-with-sloreta/13425/6
"eLORETA algorithm is available in the MEG/EEG Toolbox of Hamburg (METH)": https://www.biorxiv.org/content/biorxiv/early/2019/10/17/809285.full.pdf
 Sensitivity maps: https://mne.tools/stable/auto_examples/forward/plot_forward_sensitivity_maps.html
- Point-spread and cross-talk functions (code in MNE-Python):
 - Dipoles: 
- Display dipoles in MRI viewer
 - Project individual dipoles files on a template
 - panel_dipoles: Doesn't work with multiple figures
 
 - Project sources: Very poor algorithm to project sub-cortical regions and cerebellum
 - Mixed head models: Bug when displaying interpolated in MRI viewer
 - Maximum: 
Menu Sources > Maximum value: Doesn't work with volume or mixed head models
- Panel Get coordinates: Add button "find maximum"
 Sources on surface: Display peak regions over time (time = color) => A.Gramfort
 - BEM single sphere: Get implementation from MNE
 - Volume grid: 
- Optimize: 3D display (better than 9x9 cubes)
 - Optimize: vol_dilate (with 26 neighbors)
 
 - Add eyes models to attract eye activity
 - Display spectrum scouts (PSD plots when clicking on "Display scouts" on PSD/full cortex)
 
Anatomy
- BEM surfaces: Deform fieldtrip BEM surfaces from ICBM152 to subject space with MNI coordinates?
 Simple-brain-plot: https://github.com/dutchconnectomelab/Simple-Brain-Plot
- MRI segmentation: 
Start BrainSuite
Start FreeSurfer
- SimNIBS: Replace HEADRECO with CHARM (headreco will be removed in SimNIBS 4)
 FastSurfer: https://deep-mi.org/research/fastsurfer/
 - MNI normalization: More options: 
- DARTEL / SHOOT
 BrainSuite (wait for Anand)
 - MRI Viewer: 
- Pan in zoomed view (shift + click + move?)
 - Zoom in/out with mouse (shift + scroll?)
 - Ruler tool to measure distances
 - Display scouts as additional volumes
 Render surface envelope in the MRI as a thin line instead of the full interpolation matrix
Or use inpolyhedron to get a surface mask and then erode it to get the volume envelopeSurface>Volume interpolation: Use spm_mesh_to_grid instead of tess_tri_interp
 - Defacing: 
https://afni.nimh.nih.gov/pub/dist/doc/htmldoc/tutorials/refacer/refacer_run.html
- Removing MNI face mask using MNI coordinates
 
 - Atlas switch in 3D MRI figures
 - ICBM152 update: 
Process with FreeSurfer 7.1 + add FS atlases (Brainnettome, Schaeffer, HCP...)
- Add volume atlases (+ reimport ASEG as volatlas)
 Add facemask => Use for defacing with any MNI registration
- Add T2?
 
 BrainSuite:
- Use same colors for left and right for anatomical atlases
 - Use for volume coregistration (rigid / non-rigid)
 - USCBrain: Add default electrodes positions
 Remove BrainSuite1 when not needed anymore
- Templates for different ages: 
Pediatric head atlases: https://www.pedeheadmod.net/pediatric-head-atlases-v1-2/
https://www.biorxiv.org/content/biorxiv/early/2020/02/09/2020.02.07.939447.full.pdf
John Richards: https://www.nitrc.org/frs/?group_id=1361
Neurodev database: https://jerlab.sc.edu/projects/neurodevelopmental-mri-database/
 - Scouts: 
- Display edges in the middle of the faces instead of the vertices
 Project from one hemisphere to the other using registered spheres/squares (http://neuroimage.usc.edu/forums/t/how-to-create-mirror-roi-in-the-other-hemisphere/5910/8)
 - Parcellating volume grids: scikit-learn.cluster.Ward
 Geodesic distance calculations:
https://www.mathworks.com/matlabcentral/fileexchange/6110-toolbox-fast-marching
ECOG/SEEG
- Contact positions: Import / set / detect 
- New option: Align on none|inner|cortex to replace ECOG-mid
 - Project contact positions across subjects or templates (Marcel)
 
 - Create clusters from anatomical labels: 
- Identify contacts in a given anatomical region (volume scout, surface mesh, or label in a volume atlas) / allow extracting the signals from all the contacts in an ROI
 
 - Automatic segmentation of CT: 
SEEG DEETO Arnulfo 2015: https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-015-0511-6
- Used routinely at Niguarda Hospital + other hospitals worldwide, reliable tool.
 To be used with SEEG-assistant/3DSlicer: https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-017-1545-8
ECOG Centracchio 2021: https://link.springer.com/content/pdf/10.1007/s11548-021-02325-0.pdf
Classifier on thresholded CT: https://github.com/Jcentracchio/Automated-localization-of-ECoG-electrodes-in-CT-volumes
SEEG Granados 2018 (no code shared): https://link.springer.com/content/pdf/10.1007/s11548-018-1740-8.pdf
 - ECOG: 
- Project and display contacts on cortex surface should consider the rigidity of the grids: Contacts cannot rotate, and distance between contacts should remain constant across runs
 Method for contacts projection: https://pdfs.semanticscholar.org/f10d/6b899d851f3c4b115404298d7b997cf1d5ab.pdf
ECOG: Brain shift: When creating contact positions on a post-implantation image, the brain shift should be taken into account for creating images of the ECOG contacts on the pre-op brain => iELVis (http://ielvis.pbworks.com/w/page/116347253/FrontPage)
Normalization MNI? solutions with FieldTrip?
 - Display: 
- Bad channels: Contacts greyed out instead of ignored (Marcel)
 - Display time in H:M:S
 - Display curved SEEG electrodes
 
 Detection CEEP stim artifacts: Use ImaGIN code ImaGIN_StimDetect
Statistics
- Stat on connectivity?
 - Stat on unconstrained sources?
 - ANOVA: 
- Write panel similar to Process1 and Process2
 - 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
 
 Multivariate stim-response analysis: https://github.com/mickcrosse/mTRF-Toolbox
Input / output
- BIDS import: 
- Read real fiducials (OMEGA) / transformation matrices:
 - Read associated empty room
 
 - BIDS export: 
- Add events tsv, channel tsv, EEG, iEEG
 - BIDS-Matlab?
 
 Support for OpenJData / JNIfTI: https://github.com/brainstorm-tools/brainstorm3/issues/284
- DICOM converter: 
- Add dcm2nii (MRICron)
 - Add MRIConvert
 
 - SPM .mat/.dat: Fix the import of the EEG/SEEG coordinates
 - EEG File formats: 
Persyst .lay: https://github.com/ieeg-portal/Persyst-Reader
Nervus .eeg: https://github.com/ieeg-portal/Nervus-Reader
Biopac .acq: https://github.com/ieeg-portal/Biopac-Reader
- BCI2000 Input (via EEGLAB plugin)
 
 - 4D file format: 
- Use reader from MNE-Python: mne.io.read_raw_kit (skip Yokogawa slow library)
 - Reference gradiometers: Keep the orientation of the first or second coil?
 - Reference gradiometers: Add the sensor definition from coil_def.dat
 - Validate with phantom recordings that noise compensation is properly taken into account
 - The noise compensation is considered to be always applied on the recordings, not sure this assumption is always correct
 - 4D phantom tutorial (JM Badier?)
 
 - BST-BIN: Add compression to .bst
 
Distribution & documentation
- All tutorial datasets in BIDS (including introduction tutorials)
 Count GitHub clones in the the download stats
- Deface the MRIs of all the tutorials
 - Tutorial OMEGA/BIDS: 
- Update the organization of derivatives folder (same for ECOG tutorial)
 - Add review of literature for the resting state MEG
 - Download example datasets directly from the OMEGA repository
 
 New tutorials:
Other public datasets: https://github.com/INCF/BIDS-examples/tree/bep008_meg/
- EEG/research
 FieldTrip ECOG tutorial: http://www.fieldtriptoolbox.org/tutorial/human_ecog
Reproduce tutorials from MNE-Python: https://martinos.org/mne/stable/tutorials.html
Cam-CAN database: https://camcan-archive.mrc-cbu.cam.ac.uk/dataaccess/<<BR>>(download new datasets, including maxfiltered files and manual fiducial placements)
- MEG steady-state / high-gamma visual / frequency tagging
 Reproduce results from "Simultaneous human intracerebral stimulation and HD-EEG, ground-truth for source localization methods": https://www.nature.com/articles/s41597-020-0467-x
- Stand-alone ICA tutorial
 
Current bugs
- Image viewer: 
- Difficult to get to 100%
 - Buggy on some systems
 
 - 2DLayout: 
- (TF) Units are weird with % values
 - (TF) Difficult to navigate in frequencies: Scaling+changing frequency resets the scaling
 
 - Progress bar: 
- Doesn't close properly on some Linux systems
 - Focus requests change workspace when processing constantly (Linux systems)
 
 - MacOS 10.14.5 (Mojave): 
- Toggle buttons do not show their status
 - Panel Record: Text is too large for text boxes
 
 - MacOS bugs: 
- Buttons {Yes,No,Cancel} listed backwards
 - Record tab: Text of epoch number is too big
 - Colormap menus: Do not work well on compiled MacOSX 10.9.5 and 10.10
 
 
Distributed computing
Options from FieldTrip:
Loose collection of computers: https://github.com/fieldtrip/fieldtrip/tree/master/peer
Single multicore machine: https://github.com/fieldtrip/fieldtrip/tree/master/engine
Batch system: https://github.com/fieldtrip/fieldtrip/tree/master/qsub
Documentation: https://www.fieldtriptoolbox.org/faq/what_are_the_different_approaches_i_can_take_for_distributed_computing/
Geeky programming details
- Replace all calls to inpolyhd.m with inpolyhedron.m (10x faster)
 Interface scaling: Rewrite class IconLoader to scale only once the icons at startup instead of at each request of an icon (might improve the speed of the rendering of the tree)
- Processes with "radio" and "radio_line" options: Replace with "radio_label" and "radio_linelabel"
 - Interpolations: Use scatteredInterpolant, griddedInterpolant, triangulation.nearestNeighbor (2014b)
 
