Differences between revisions 253 and 591 (spanning 338 versions)

What's next

A roadmap to the future developments of Brainstorm.

Contents

Recordings
ECOG/SEEG
Pre-processing
Reproducibility toolbox
Interface
Database
Connectivity
Processes
Anatomy
Forward modeling
Source modeling
Statistics
Input / output
Distribution
Documentation
Current bugs
Distributed computing
Geeky programming details

Recordings

Review signals in time-frequency space
Events processes: Select events names from a list instead of having to type them
Display CTF coils: Show discs instead of squares
Sleep scoring wish list (Emily C):
- Configurable horizontal lines (for helping detecting visually some thresholds)
- Mouse ruler: Measure 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 (Low priority) :
- Consider to change to a format that is faster to read
- Add parameter to make the visual downsampling more or less aggressive
- Keep the filter specifications in memory instead of recomputing for every page
  (Nice to have)
BioSemi: Add menu "Convert naming system" to rename channels into 10-10 (A1=>FPz)
Simulations: https://github.com/lrkrol/SEREEGA(Low priority)

ECOG/SEEG

https://www.sciencedirect.com/science/article/pii/S1053811922005559
Display (high-priority)(Part SEEG grant):
- Group display: Overlay multiple channel files in the same figure, coloring contacts by subject/ROI/Cluster/Electrode name
  - https://neuroimage.usc.edu/forums/t/37617
  - iEEG tab must be read-only when multiple files (hide configuration controls)
- Bad channels: Contacts greyed out instead of ignored (Marcel H, Germany)
  (To diff between band and not-recorded) > Rendering of SEEG electrodes: Full surface modelling with surface mesh (see Lead-DBS models + code that generates them?)
- Display time in H:M:S instead of S > If there is t0 in H:M:S instead of S > As an option in Display configuration button>x-axis
- view_leadfield_sensitivity: Add closing surfaces at cortex limits
- Create clusters from anatomical labels (Anne So) :
- 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> As a process to select recordings, then Scouts from Volumen Atlas, Create cluster in channel file, then Extract time series.
- Group analysis: extract clusters across subjects, display or average signals (see MIA) (Anne So)
Spike detection (Need to check for current toolboxes from scratch)(contact Nicolas R)(Mosher J)(iEEG BIDS):
- https://iopscience.iop.org/article/10.1088/1741-2552/ac9259/pdf
Automatic segmentation of CT:
- LeGUI: https://github.com/Rolston-Lab/LeGUI/tree/main/LeGUI<<BR>>https://neuroimage.usc.edu/forums/t/automatic-localization-of-seeg-electrodes/36302/7
- GARDEL: http://meg.univ-amu.fr/wiki/GARDEL:presentation
- Discussed with Samuel and Christian (ins-amu.fr)
- 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 CT images: Better brightness/contrast adjustment: https://neuroimage.usc.edu/forums/t/automatic-localization-of-seeg-electrodes/36302/8 Range of values is way diff than ones from MRI. Current color maps are not suitable for CT, need to be improved.Together with processing of CT to get electrode positions.
Detection CCEP stim artifacts: Use ImaGIN code ImaGIN_StimDetect https://f-tract.eu/software/imagin/

Pre-processing

process_detectbad:
- Allow on raw files (for bad channels only)
- Add detection on derivative of the signal (see EEGLAB)
- Document in tutorial Bad channels
- PREP pipeline / EEGLAB (Bigdely-Shamlo 2015)
Improve bad channel/trial detection:
- ft_artifact_threshold and ft_rejectartifact
- MNE-Python
- EEGLAB
Integrate with EYE-EEG (Olaf Dimigen)
- Reproduce tutorial: https://www.eyetracking-eeg.org/tutorial.html
- Create EYE-EEG plugin + processes (Raphael Lambert)
- Process: Detect sacades (extended events) + fixations
- Improved ICA
- Eye-movement related potentials
- Use it to guide ICA: http://www2.hu-berlin.de/eyetracking-eeg/
ICA:
- Automatic classification: ICLabel: https://neuroimage.usc.edu/forums/t/automatic-eeg-ic-ica-classification-for-brainstorm/33785
- Exploration: Add window with spectral decomposition (useful for muscle artifacts)
- Export IC time series (and then compute their spectrum): solves the problem above
- Import ICA matrices available in EEGLAB .set files
- ICA+machine learning: https://www.ncbi.nlm.nih.gov/pubmed/28497769
- Automated artifact rejection: https://arxiv.org/abs/1612.08194
- Spectral representation of ICs
SSP:
- Display warning if changing the ChannelFlag while there is a Projector applied
File format:
- Add support to read GDF file format

https://github.com/donnchadh/biosig/blob/master/biosig/t200_FileAccess/sload.m

Reproducibility toolbox

Generate fully reproducible scripts, including all the interactive/graphical parts
Record all GUI actions as script calls
Import window: Add button to create the corresponding processing pipeline (to generate script or to edit additional options).
Adding the list of plugins to the reports
Better provenance: History fields, uniform file names...

Interface

Add a warning when computing a forward model with > 100000 sources (check selection)
Colormaps: Global colormap max: Should get the maximum across all the open files
Snapshot:
- Save as image / all figures (similar to Movie/all figure)
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)

Database

Save iHeadModel somewhere in the datbase structure
Generalize the use of the units (field .DisplayUnits): Save in source files

Connectivity

Define names and unit labels for each connectivity metric
Null models: (Bratislav M) https://www.nature.com/articles/s41583-022-00601-9
Connect NxN display:
- Graph on sensors: Place M/EEG sensors by location, not by channel order
- 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 (as done in wavelet, to have same time axis as data)

Processes

Add MNE-Python functions:
- scikit-learn classifiers
- BEM single layer (John wants to test it)
- https://neuroimage.usc.edu/forums/t/best-way-to-export-to-mne-python/12704/3
- Reproduce tutorials / examples from FieldTrip and MNE-Python:
  - FieldTrip ECOG tutorial: http://www.fieldtriptoolbox.org/tutorial/human_ecog
  - Reproduce tutorials from MNE-Python: https://martinos.org/mne/stable/tutorials.html
- 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
Chronux toolbox : http://chronux.org/
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-demo
  - http://www.natmeg.se/ft_beamformer/beamformer.html
  - http://www.fieldtriptoolbox.org/tutorial/beamformingextended
  - Baseline? Two inputs?
- ft_prepare_heamodel: Add support from BEM surfaces from the Brainstorm database
- ft_volumereslice: http://www.fieldtriptoolbox.org/faq/how_change_mri_orientation_size_fov
- ft_freqanalysis
- ft_combineplanar
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
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
- 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.
- requested feature from the forum:
* https://neuroimage.usc.edu/forums/t/event-export-and-process-find-maximum-value-amplitude/41911/2
* https://neuroimage.usc.edu/forums/t/custom-process-that-involves-merging-of-channels/40638
* https://neuroimage.usc.edu/forums/t/swloreta-for-source-localization/41882/4

Anatomy

Display parcellation values (matrices) in 3D and 2D.
- https://github.com/dutchconnectomelab/Simple-Brain-Plot
- Scouts
Import SimNIBS4: Use final_tissues_LUT.txt instead of fixed list of tissues: https://neuroimage.usc.edu/forums/t/removing-a-lesioned-area/38414/20
Simple-brain-plot: https://github.com/dutchconnectomelab/Simple-Brain-Plot
MNI normalization: More options:
- DARTEL / SHOOT
- BrainSuite (wait for Anand)
- Import from SimNIBS (Conform2MNI_nonl.nii.gz, MNI2Conform_nonl.nii.gz)
MRI Viewer:
- Adjust CT contrast better: https://neuroimage.usc.edu/forums/t/automatic-localization-of-seeg-electrodes/36302/10
- 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 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 (mask available ICMB152 2023b)
Bug import anatomy: Requested nVert > high-resolution cortex surface: Creates an empty cortex_0V
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
Brain2mesh: Add import of 10-10 positions
Templates for different ages:
Scouts:
- Display edges in the middle of the faces instead of the vertices
Parcellating volume grids: scikit-learn.cluster.Ward
Geodesic distance calculations:
https://www.mathworks.com/matlabcentral/fileexchange/6110-toolbox-fast-marching
Improving the registration between EEG and anatomy templates:
- Warping: Improve the basic alignment of the digitized electrodes on the templat, possibly with Cz and other anatomical landmarks
- EEG template positions: rework using a standardized Cz position (+ other landmarks)

Forward modeling

DUNEuro/FEM:
- Add lesion mask to SimNIBS: https://simnibs.github.io/simnibs/build/html/documentation/command_line/add_tissues_to_upsampled.html#add-tissues-to-upsampled-doc
- GeomtryAdapted: Buggy?
- Display differences between leadfields: amplitude of difference (right-click > Compare)
- Display sensitivity on FEM surface
OpenMEEG: Detect bad results + exclude from leadfield
BEM single sphere: Get implementation from MNE-Python (John Mosher)
Add eyes models to attract eye activity (Put a dipole in each eye)

Source modeling

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
- https://neuroimage.usc.edu/forums/t/loreta-and-source-localization/30525
- "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
- 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 https://www.biorxiv.org/content/biorxiv/early/2019/06/18/672956.full.pdf
- https://github.com/olafhauk/EEGMEGResolutionAtlas
Dipoles:
- Display dipoles in MRI viewer
- panel_dipoles: Doesn't work with multiple figures (SOLVED?)
Project sources: Very poor algorithm to project sub-cortical regions and cerebellum
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
Volume grid:
- Optimize: 3D display (better than 3x3 cubes)
- Optimize: vol_dilate (with 26 neighbors)

Statistics

Stat on unconstrained sources?
Stat/time series: Hide lines going down to zero (Dimitrios: https://neuroimage.usc.edu/forums/t/common-source-activation-across-subjects-and-conditions/1152/21)
Cluster stat: Add frequency selection option
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:
- Add option to process to specify the protocol name
- Disable logging of sub-processes (reloading the previous report should only show process_import_bids)
- Full support for iEEG and EEG
- Read real fiducials (OMEGA) / transformation matrices:
- Use BIDS-Matlab?
Test datasets:
- See list of test datasets in process_import_bids.m
- ds004085 / ds004473: Check response epoch + BUG with coordinate interpretation
BIDS export:
- EEG, iEEG: Add events.tsv, channel.tsv, electrodes.tsv
- Anatomy: Add t1w.json (including fiducials)
- Use BIDS-Matlab?
EDF+ reader: Add resampling of channels with different sampling rates
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:
- XLTEK: https://github.com/danielmhanover/OpenXLT
- 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
MINC MRI: Add support for "voxel to world" transformation (vox2ras) similarly to .nii

Distribution

Java-free Matlab: All references of functions below must be removed
- JavaFrame: screencapture.m (used for screen captures of videos)
- Actxcontrol: Used for video-EEG
  - uihtml + JavaScript callbacks?
  - ActiveX in .NET app?
  - Pure Java framce + VLC java plugin?
  - Other video player?
- Javacomponent:
  - mri_editMask
  - figure_mri
  - process_bandpass
- List .jar files used from Matlab distribution (e.g. dom) => Check all the import calls
Cleanup GitHub repository:
- https://github.com/brainstorm-tools/brainstorm3/issues/473
- Move external I/O libraries as plugins:
  - mne-matlab
  - CEDS64ML
  - edfimport
  - eeprobe
  - son
  - ricoh
  - yokogawa

Documentation

All tutorial datasets in BIDS (including introduction tutorials)
Deface the MRIs of all the tutorials
Count GitHub clones in the the download stats
MNE-Python 1.0: Test and update install documentation
Tutorial OMEGA/BIDS:
- Update the organization of derivatives folder (full FS folders)
- Download example datasets directly from the OMEGA repository
New tutorials:
- Other public datasets: https://github.com/INCF/BIDS-examples/tree/bep008_meg/
- EEG/research
- 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
- https://archive.physionet.org/ [data and tools]

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 (SOLVED?)
- Focus requests change workspace when processing constantly (Linux systems) (SOLVED?)

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/
Google: https://www.youtube.com/watch?v=LLMXV3o2FT0
- https://edu.google.com/why-google/case-studies/unc-chapel-hill-gcp/

== Other interesting resources to check for renewal == by tmedani:

neurojson: https://neurojson.org/ demo:https://neurojson.org/wiki/index.cgi?Doc/Start/User#Dynamically_downloading_caching_linked_binary_data_resources

The Neuroscience Gateway (NSG) https://github.com/sccn/nsgportal/wiki https://www.nsgportal.org/index.html

BIDSAPP

https://open-neuroscience.com/en/

OPM OPM : https://vbmeg.atr.jp/software/ Soft: https://vbmeg.atr.jp/docs/v22/static/vbmeg2_opm_simulation.html#toc4 https://www.sciencedirect.com/science/article/pii/S1053811923004081 https://www.fieldtriptoolbox.org/tutorial/preprocessing_opm/ https://www.fieldtriptoolbox.org/getting_started/opm_fil/ https://mne.tools/stable/auto_examples/datasets/opm_data.html

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"

-  ⇤ ← Revision 253 as of 2016-07-27 20:57:42 → 
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+   ← Revision 591 as of 2024-12-06 22:26:41 → ⇥
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-== Current topics ==
==== Source modeling ====
 * Implementation of a new unified minimum norm/beamformer framework (work in progress)

==== Documentation ====
 * Standard workflows for different types of data and experiments (work in progress)
 * Cross-validation with MNE and FieldTrip: <<BR>>http://martinos.org/mne/dev/auto_tutorials/plot_brainstorm_auditory.html

==== Functional connectivity ====
 * Significance thresholding of the connectivity matrices (not started)

==== Computation ====
 * Removing the dependence to the Java interface to run in headless mode (not started)

<<BR>><<BR>>
-Line 23:
+Line 7:
- * 2D topographies:
  * Nicer topographies with circle around 2DDisc (similar to EEGLAB plots)
  * Standardized plots (using FieldTrip .lay files?)
  * Aligned on the midline at least
  * Contour lines sometimes messed up with Elekta recordings
  * Make the surface on which the values are interpolated simpler
 * MEG/EEG registration: Apply the same transformation to multiple runs
 * Montages:
  * Separators (" : MLC11" already works, could be just " : "), should add an empty space.
 * 2DLayout:
  * Use the same standard positions, too much space between sensors (Recordings + TF)
  * Overlay multiple conditions
  * RAW files: Doesn't work when changing page => need refresh of GlobalData.Preferences.TopoLayoutOptions.TimeWindow
  * Same shortcuts as the raw file viewer (right-click + move for gain)
  * Add support for montages
 * RAW file viewer:
  * Pre-load next page of recordings
  * Faster display: Downsample time series before plotting
  * 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
+ * Review signals in time-frequency space
 * Events processes: Select events names from a list instead of having to type them
 * Display CTF coils: Show discs instead of squares
 * Sleep scoring wish list (Emily C):
  * Configurable horizontal lines (for helping detecting visually some thresholds)
  * Mouse ruler: Measure 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 (Low priority) :<<BR>>
  * Consider to change to a format that is faster to read
  * Add parameter to make the visual downsampling more or less aggressive
  * Keep the filter specifications in memory instead of recomputing for every page<<BR>>(Nice to have)

 * BioSemi: Add menu "Convert naming system" to rename channels into 10-10 (A1=>FPz)

 * Simulations: https://github.com/lrkrol/SEREEGA(Low priority)

== ECOG/SEEG ==
 * https://www.sciencedirect.com/science/article/pii/S1053811922005559

 * Display (high-priority)(Part SEEG grant):
  * Group display: Overlay multiple channel files in the same figure, coloring contacts by subject/ROI/Cluster/Electrode name
   * https://neuroimage.usc.edu/forums/t/37617

   * iEEG tab must be read-only when multiple files (hide configuration controls)

  * Bad channels: Contacts greyed out instead of ignored (Marcel H, Germany)<<BR>>(To diff between band and not-recorded) > Rendering of SEEG electrodes: Full surface modelling with surface mesh (see Lead-DBS models + code that generates them?)

  * Display time in H:M:S instead of S > If there is t0 in H:M:S  instead of S > As an option in Display configuration button>x-axis

  * view_leadfield_sensitivity: Add closing surfaces at cortex limits

  * Create clusters from anatomical labels (Anne So) :
  * 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> As a process to select recordings, then Scouts from Volumen Atlas, Create cluster in channel file, then Extract time series.

  * Group analysis: extract clusters across subjects, display or average signals (see MIA) (Anne So)

 * Spike detection (Need to check for current toolboxes from scratch)(contact Nicolas R)(Mosher J)(iEEG BIDS):
  * https://iopscience.iop.org/article/10.1088/1741-2552/ac9259/pdf

 * Automatic segmentation of CT:
  * LeGUI: https://github.com/Rolston-Lab/LeGUI/tree/main/LeGUI<<BR>>https://neuroimage.usc.edu/forums/t/automatic-localization-of-seeg-electrodes/36302/7

  * GARDEL: http://meg.univ-amu.fr/wiki/GARDEL:presentation

  * Discussed with Samuel and Christian (ins-amu.fr)

  * 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) <<BR>>Normalization MNI? solutions with FieldTrip?

 * Display CT images: Better brightness/contrast adjustment: https://neuroimage.usc.edu/forums/t/automatic-localization-of-seeg-electrodes/36302/8 Range of values is way diff than ones from MRI. Current color maps are not suitable for CT, need to be improved.Together with processing of CT to get electrode positions.

 * Detection CCEP stim artifacts: Use ImaGIN code ImaGIN_StimDetect https://f-tract.eu/software/imagin/

== Pre-processing ==
 * process_detectbad:
  * Allow on raw files (for bad channels only)
  * Add detection on derivative of the signal (see EEGLAB)
  * Document in tutorial Bad channels
  * PREP pipeline / EEGLAB (Bigdely-Shamlo 2015)

 * Improve bad channel/trial detection:
  * ft_artifact_threshold and ft_rejectartifact
  * MNE-Python
  * EEGLAB

 * Integrate with EYE-EEG (Olaf Dimigen)
  * Reproduce tutorial: https://www.eyetracking-eeg.org/tutorial.html
  * Create EYE-EEG plugin + processes  (Raphael Lambert)
  * Process: Detect sacades (extended events) + fixations
  * Improved ICA
  * Eye-movement related potentials
  * Use it to guide ICA: http://www2.hu-berlin.de/eyetracking-eeg/

 * ICA: <<BR>>
  * Automatic classification: ICLabel: https://neuroimage.usc.edu/forums/t/automatic-eeg-ic-ica-classification-for-brainstorm/33785

  * Exploration: Add window with spectral decomposition (useful for muscle artifacts)
  * Export IC time series (and then compute their spectrum): solves the problem above
  * Import ICA matrices available in EEGLAB .set files
  * ICA+machine learning: https://www.ncbi.nlm.nih.gov/pubmed/28497769

  * Automated artifact rejection: https://arxiv.org/abs/1612.08194
  * Spectral representation of ICs

 * SSP:
  * Display warning if changing the ChannelFlag while there is a Projector applied

 * File format:
  * Add support to read GDF file format

https://github.com/donnchadh/biosig/blob/master/biosig/t200_FileAccess/sload.m

 * <<BR>>
  *

== Reproducibility toolbox ==
 * Generate fully reproducible scripts, including all the interactive/graphical parts
 * Record all GUI actions as script calls
 * Import window: Add button to create the corresponding processing pipeline (to generate script or to edit additional options).
 * Adding the list of plugins to the reports
 * Better provenance: History fields, uniform file names...
-Line 46:
+Line 124:
- * Start Brainstorm without Java (-nodesktop)
 * Move code to github
 * Allow FieldTrip functions in compiled version
 * Generalize the use of the units (field .DisplayUnits): Rewrite processes to save the units correctly
 * Colormaps:
  * Allow brightness/contrast manipulations on the custom colormaps
  * Create a colormap similar to MNE, where extrema are bright
  * Global colormap max: Should get the maximum across all the open files
 * Open new figures as tab (docked in the Figures window)
 * Copy figures to clipboard (with the screencapture function)
 * Removing all the CTRL and SHIFT in the keyboard shortcuts
 * Display warning before opening files that are too big
 * Smooth display from figure_image (ERPimage, raster plot...)
+ * Add a warning when computing a forward model with > 100000 sources (check selection)

 * Colormaps: Global colormap max: Should get the maximum across all the open files

 * Snapshot:
  * Save as image / all figures (similar to Movie/all figure)
-Line 61:
+Line 133:
+ * Contact sheets: Allow explicit list of times in input (+ display as in MNE-Python with TS)

== Database ==
 * Save iHeadModel somewhere in the datbase structure
 * Generalize the use of the units (field .DisplayUnits): Save in source files
-Line 62:
+Line 140:
- * Thresholding and stat tests the connectivity matrices
 * Connectivity on unconstrained sources: how to group the three orientations?
 * 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?
 * 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
 * PLV:
  * Add p-values
  * Remove evoked
  * Optimize code
  * Add time integration
  * Unconstrained sources
  * Add warning when running of short windows (because of filters)
 * 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
+ * Define names and unit labels for each connectivity metric

 * Null models: (Bratislav M) https://www.nature.com/articles/s41583-022-00601-9
  * {{attachment:connect_toolboxes.jpg}}

 * Connect NxN display:
  * Graph on sensors: Place M/EEG sensors by location, not by channel order
  * 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 (as done in wavelet, to have same time axis as data)
-Line 113:
+Line 154:
- * Explore Matlab-Python bridge:<<BR>> https://mail.python.org/pipermail/neuroimaging/2016-June/001001.html
 * Allow processes in Python and Java
+ * Add MNE-Python functions:
  * scikit-learn classifiers
  * BEM single layer (John wants to test it)

  * https://neuroimage.usc.edu/forums/t/best-way-to-export-to-mne-python/12704/3

  * Reproduce tutorials / examples from FieldTrip and MNE-Python:
   * FieldTrip ECOG tutorial: http://www.fieldtriptoolbox.org/tutorial/human_ecog
   * Reproduce tutorials from MNE-Python: https://martinos.org/mne/stable/tutorials.html

  * 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

  * Change the graphic renderer from Matlab

 * Chronux toolbox : http://chronux.org/
-Line 116:
+Line 171:
+  * 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 <<BR>>http://www.fieldtriptoolbox.org/workshop/meg-uk-2015/fieldtrip-beamformer-demo

   * http://www.natmeg.se/ft_beamformer/beamformer.html

   * http://www.fieldtriptoolbox.org/tutorial/beamformingextended

   * Baseline? Two inputs?

  * ft_prepare_heamodel: Add support from BEM surfaces from the Brainstorm database
  * ft_volumereslice: http://www.fieldtriptoolbox.org/faq/how_change_mri_orientation_size_fov
-Line 118:
+Line 190:
-  * ft_volumesegment
  * ft_computeleadfield
  * ft_prepare_heamodel
+ * Optimization:
  * Use CUDA for speeding up some operations (filtering, wavelets, etc)
  * Use Matlab Coder to optimize: Wavelets, bandpass filter, sinusoid removal
-Line 122:
+Line 196:
-  * Optimize speed: Opening the window and the showing menu "Add process" are slow
+  * Bug: After "convert to continuous", the time of the following processes should change
-Line 124:
+Line 198:
- * PLS:
  * https://www.rotman-baycrest.on.ca/index.php?section=84
  * meg-pls dot weebly dot com
  * Krishnan 2011: http://www.ncbi.nlm.nih.gov/pubmed/20656037
  * Cheung 2015: http://www.sciencedirect.com/science/article/pii/S1053811915007648
  * McIntosh 2012: http://www.ncbi.nlm.nih.gov/pubmed/22804773
  * McIntosh 2004: http://www.ncbi.nlm.nih.gov/pubmed/15501095

 * ICA:
  * 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: <<BR>> http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0030135
  * Add methods: SOBI, Fastica, AMICA/CUDICA (recommended by S Makeig)
  * Dimension reduction with PCA adds artifacts: Not done by default in EEGLAB<<BR>>Contact: Stephen Shall Jones ( shall-jones@infoscience.otago.ac.nz )<<BR>>Student Carl Leichter detailed this in his thesis
  * 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)
  * Understand why EEG/Epilepsy tutorial data crashes if we don't limit the number of components
  * Add components preselection: Correlation with EOG/ECG
  * Import ICA matrices available in EEGLAB .set files
  * EEGLAB recommends ICA + trial rejection + ICA again: Impossible right now with Brainstorm<<BR>>(http://sccn.ucsd.edu/wiki/Chapter_09:_Decomposing_Data_Using_ICA)
 * SSP:
  * Display warning if changing the ChannelFlag while there is a Projector applied
  * Show where the attenuation is projected:<<BR>>(sum(IK,2)-sum(SSP(k,:)*IK,2)./sum(IK,2)
 * SSS/tSSS: Get implementation from MNE
 * Bandpass:
  * Mark with an event the possible edge effects
  * Offer option: bst_bandpass_fft / bst_bandpass_filter
  * Rewrite without the forced low-pass filter at Fs/3
  * Show warning when using inappropriate high-pass filter (precision too high)
  * Use FIR filter
 * 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
+  * 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)<<BR>>http://www.sciencedirect.com/science/article/pii/S1053811916304232
-Line 163:
+Line 203:
- * Use Matlab Coder to optimize some processes: Wavelets, bandpass filter, sinusoid removal
 * Reports: Click on link reopens exactly the figure
-Line 166:
+Line 205:
-  * Multi-tapers
+  * 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)
-Line 168:
+Line 207:
-  * 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
-Line 178:
+Line 209:
-  * Extend clusters tab to display of TF to overlay TF signals (Svet)
-Line 181:
+Line 211:
-  * Review continuous files in time-frequency space (for epilepsy)
 * 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
 * Other processes:
  * Moving average
  * Max
  * Median
 * 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

== Database ==
 * 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.
 * Navigator: Use F2/F3 to explore the entire database (right now F2 works in a weird way)
 * 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)

 * protocol.mat can be too big: do not store the results links in it (and recreate when loading)
+  * 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.
  * requested feature from the forum:

 * * https://neuroimage.usc.edu/forums/t/event-export-and-process-find-maximum-value-amplitude/41911/2
 * * https://neuroimage.usc.edu/forums/t/custom-process-that-involves-merging-of-channels/40638
 * * https://neuroimage.usc.edu/forums/t/swloreta-for-source-localization/41882/4

== Anatomy ==
 * Display parcellation values (matrices) in 3D and 2D.
  * https://github.com/dutchconnectomelab/Simple-Brain-Plot
  * Scouts

 * Import SimNIBS4: Use final_tissues_LUT.txt instead of fixed list of tissues: https://neuroimage.usc.edu/forums/t/removing-a-lesioned-area/38414/20

 * Simple-brain-plot: https://github.com/dutchconnectomelab/Simple-Brain-Plot

 * MNI normalization: More options:
  * DARTEL / SHOOT
  * BrainSuite (wait for Anand)

  * Import from SimNIBS (Conform2MNI_nonl.nii.gz, MNI2Conform_nonl.nii.gz)

 * MRI Viewer:
  * Adjust CT contrast better: https://neuroimage.usc.edu/forums/t/automatic-localization-of-seeg-electrodes/36302/10

  * 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<<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 (mask available ICMB152 2023b)

 * Bug import anatomy: Requested nVert > high-resolution cortex surface: Creates an empty cortex_0V

 * 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

 * Brain2mesh: Add import of 10-10 positions
 * Templates for different ages:
  * MNI: https://www.bic.mni.mcgill.ca/ServicesAtlases/NIHPD-obj1

  * 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/

  * https://openneuro.org/datasets/ds000256/versions/00002

  * https://osf.io/axz5r/

 * Scouts:
  * Display edges in the middle of the faces instead of the vertices

 * Parcellating volume grids: scikit-learn.cluster.Ward
 * Geodesic distance calculations:<<BR>>https://www.mathworks.com/matlabcentral/fileexchange/6110-toolbox-fast-marching

 * Improving the registration between EEG and anatomy templates:
  * Warping: Improve the basic alignment of the digitized electrodes on the templat, possibly with Cz and other anatomical landmarks
  * EEG template positions: rework using a standardized Cz position (+ other landmarks)

== Forward modeling ==
 * DUNEuro/FEM:
  * Add lesion mask to SimNIBS: https://simnibs.github.io/simnibs/build/html/documentation/command_line/add_tissues_to_upsampled.html#add-tissues-to-upsampled-doc

  * GeomtryAdapted: Buggy?

  * Display differences between leadfields: amplitude of difference (right-click > Compare)

  * Display sensitivity on FEM surface

 * OpenMEEG: Detect bad results + exclude from leadfield
 * BEM single sphere: Get implementation from MNE-Python (John Mosher)
 * Add eyes models to attract eye activity (Put a dipole in each eye)

== Source modeling ==
 * 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

  * https://neuroimage.usc.edu/forums/t/loreta-and-source-localization/30525

  * "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

  * 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 https://www.biorxiv.org/content/biorxiv/early/2019/06/18/672956.full.pdf

  * https://github.com/olafhauk/EEGMEGResolutionAtlas

 * Dipoles:
  * Display dipoles in MRI viewer
  * panel_dipoles: Doesn't work with multiple figures (SOLVED?)

 * Project sources: Very poor algorithm to project sub-cortical regions and cerebellum
 * 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

 * Volume grid:
  * Optimize: 3D display (better than 3x3 cubes)
  * Optimize: vol_dilate (with 26 neighbors)

== Statistics ==
 * Stat on unconstrained sources?
 * Stat/time series: Hide lines going down to zero (Dimitrios: https://neuroimage.usc.edu/forums/t/common-source-activation-across-subjects-and-conditions/1152/21)

 * Cluster stat: Add frequency selection option
 * 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:
  * Add option to process to specify the protocol name
  * Disable logging of sub-processes (reloading the previous report should only show process_import_bids)
  * Full support for iEEG and EEG
  * 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

   * https://github.com/brainstorm-tools/brainstorm3/issues/139

  * Use BIDS-Matlab?

 * Test datasets:
  * See list of test datasets in process_import_bids.m
  * ds004085 / ds004473: Check response epoch + BUG with coordinate interpretation

 * BIDS export:
  * EEG, iEEG: Add events.tsv, channel.tsv, electrodes.tsv
  * Anatomy: Add t1w.json (including fiducials)
  * Use BIDS-Matlab?

 * EDF+ reader: Add resampling of channels with different sampling rates

 * 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:<<BR>>
  * XLTEK: https://github.com/danielmhanover/OpenXLT

  * 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
 * MINC MRI: Add support for "voxel to world" transformation (vox2ras) similarly to .nii

== Distribution ==
 * Java-free Matlab: All references of functions below must be removed
  * '''JavaFrame''': screencapture.m (used for screen captures of videos)

  * '''Actxcontrol''': Used for video-EEG
   * uihtml + JavaScript callbacks?

   * ActiveX in .NET app?
   * Pure Java framce + VLC java plugin?
   * Other video player?

  * '''Javacomponent''':
   * mri_editMask
   * figure_mri
   * process_bandpass

  * List .jar files used from Matlab distribution (e.g. dom) => Check all the import calls

 * Cleanup GitHub repository:
  * https://github.com/brainstorm-tools/brainstorm3/issues/473

  * Move external I/O libraries as plugins:
   * mne-matlab
   * CEDS64ML
   * edfimport
   * eeprobe
   * son
   * ricoh
   * yokogawa

== Documentation ==
 * All tutorial datasets in BIDS (including introduction tutorials)
 * Deface the MRIs of all the tutorials
 * Count GitHub clones in the the download stats

 * MNE-Python 1.0: Test and update install documentation
 * Tutorial OMEGA/BIDS:
  * Update the organization of derivatives folder (full FS folders)
  * Download example datasets directly from the OMEGA repository

 * New tutorials: <<BR>>
  * Other public datasets: [[https://github.com/INCF/BIDS-examples/tree/bep008_meg|https://github.com/INCF/BIDS-examples/tree/bep008_meg/]]

  * EEG/research

  * 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

  * https://archive.physionet.org/  [data and tools]

== 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 (SOLVED?)
  * Focus requests change workspace when processing constantly (Linux systems) (SOLVED?)
-Line 219:
+Line 466:
-  * Alternative, with less limitations: http://research.cs.wisc.edu/htcondor/
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+Line 468:
-Line 222:
+Line 470:
-  * Documentation: http://fieldtrip.fcdonders.nl/faq#distributed_computing_with_fieldtrip_and_matlab
+  * Documentation: https://www.fieldtriptoolbox.org/faq/what_are_the_different_approaches_i_can_take_for_distributed_computing/
-Line 224:
+Line 474:
- * Various initiatives: http://samirdas.github.io/Data_sharing.html#/

== Source modeling ==
 * Mixed head models:
  * Project to templates (scouts or source maps)
  * Create scout form maximum doesn't work (menu Sources > Max value)
  * Display in MRI doesn't work
  * Smooth display: do not smooth subcortical structures
  * Export as .nii volume: doesn't work
  * Set loose parameter from the interface
 * Project individual dipoles files on a template
 * Dipoles:
  * panel_dipoles: Doesn't work with multiple figures
 * Panel Get coordinates: Add button "find maximum"
 * BEM single sphere: Get implementation from MNE
 * Stenroos 2014 paper: Include the following methods
  * Inner and outer skull surfaces generator from FieldTrip (needs SPM)
  * Nolte corrected-sphere model (good model re:Alex)
  * Fast BEM models
 * 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
 * Volume grid:
  * Test volume sources with all the subsequent processes (timefreq, stat...)
  * Optimize: 3D display (better than 9x9 cubes)
  * Optimize: vol_dilate (with 26 neighbors)
 * 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
 * Beamformers from FieldTrip (LCMV, SAM)
 * 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
 * Menu Sources > Simulate recordings:
  * Do not close the 3D figures after generating a new file
  * Add a process equivalent to this menu
 * Keep options for inverse computation

== Anatomy ==
 * MNI coordinates:
  * Extend to non FreeSurfer volumes (BrainSuite volumes that are not 256x256x256)
  * Compute with FieldTrip: ft_prepare_sourcemodel (linear and non-linear) => Peter
 * Project all sub-cortical structures to default anatomy (check code from Denis S)
 * FreeSurfer:
  * Do not save "mid" surface unless specified explicitely with the process version

  * Add cerebellum to default model generated with "Import FS anatomy"
 * Import MRIs with different resolutions: re-interpolate automatically
 * Edit fiducials: Replace 6 text boxes with 1 for easy copy-paste (see fiducials.m)
 * BrainVISA: Add support for MarsAtlas (Guillaume A)
 * BrainSuite:
  * Use BrainSuite inner skull for surface generation
  * Use same colors for left and right for anatomical atlases
 * Warping: Scale option has to be fixed, it is currently very unstable
 * Scouts:
  * Display edges in the middle of the faces instead of the vertices
  * Display scouts in a tree: hemisphere, region, subregion
  * Downsample to atlas: allow on timefreq/connect files
  * Sort scouts by region in process options
 * Menu head model > Copy to other conditions/subjects (check if applicable first)
 * Generate mixed density surfaces
 * Optimize computation interpolation MRI-surface (tess_tri_interp)
 * Render surface envelope in the MRI as a thin line instead of the full interpolation matrix
 * Major bug when importing surfaces for an MRI that was re-oriented manually
 * Smooth surface: Fix little spikes due to irregularities in the mesh
 * Add eyes models to attract eye activity
 * tess_mrimask: Not robust enough to major holes in the brain
 * Bug: Hide scouts in the preview of the grid for volume head models

== ECOG/SEEG ==
 * Contact positions: Import / set / detect
  * Import/export electrodes positions in MNI/SCS/MRI coordinates
  * Co-register MRI and CT for electrodes marking in the MRI Viewer<<BR>>=> Mutual information: BrainVISA > Outils > Recalage rigide
  * Automatic segmentation of CT scans: See project of Rodrigo Paz (Marseille/Timone)
  * Import from FreeSurfer/FreeView: Problem of difference between RAS and TkRegRAS: http://neuroimage.usc.edu/forums/showthread.php?1958-SEEG-electrodes-and-subject-s-anatomy-are-not-alligned
  * 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)
  * Project contact positions across subjects (Marcel)
 * Display:
  * Display SEEG+ECOG contacts at the same time
  * Better way to represent ECOG strips that are not in contact with the skull (new type?)
  * SEEG length: count from the most superficial contact
  * SEEG default view: transparent cortex instead of MRI viewer (Marcel)
  * ECOG: Project on cortex instead of inner skull, just for display (Marcel)
  * Color each strip/grid differently
  * Bad channels: Contacts greyed out instead of ignored (Marcel)
  * ECOG: Topography display without the 3D coordinates (Marcel)
  * 2DLayout: Should not try to use the actual position of the sensors, just the grids/strips.
  * Display time in H:M:S
 * Alternatives to OpenMEEG: SimBio/FieldTrip? Matti Stenroos? NFT/NIST?
 * Prepare tutorial with public dataset (Marcel)

== 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

 * New process to test for Gaussianity using swtest
 * PLS: Partial Least Squares
 * 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

== Input / output ==
 * 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?)
 * Export to EDF
 * EEG File formats:
  * Nihon Koden
  * Nicolet EEG: Get from from MNE
  * EEG CeeGraph
  * EGI: Finish support for epoched files (formats 3,5,7)
 * 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
 * BIDS-MEG: Automatic loading of BIDS-structured databases
 * Review raw on all the file formats (ASCII EEG and Cartool missing)
 * gTec EEG recordings: Read directly from the HDF5 files instead of the Matlab exports.
 * Use new Matlab functions readtable/writetable (2006b): for Excel and text files

== Distribution & documentation ==
 * Workflows FieldTrip: http://www.fieldtriptoolbox.org/faq/what_types_of_datasets_and_their_respective_analyses_are_used_on_fieldtrip
 * Reference tutorials on Google scholar + ResearchGate
 * Cleaning threads on the forum
 * Update the list of features and link in the Introduction page
 * Google Analytics: Create template and update the section of the Community page
 * Finish existing tutorials:<<BR>>
  * Dipoles
  * Group MEM/Epilepsy + Epilepsy tutorials
 * Deface the MRIs of all the tutorials
 * New tutorials:
  * MEG steady-state / high-gamma visual
  * Intra-cranial recordings
  * MEG connectome (impossible without the head shapes)
  * Coherence (cortico-muscular ?)
  * Co-register MEG runs (Beth)
 * Missing in the introduction tutorials:
  * SSP: Create projector from any topography figure (right-click > Create SSP)
  * Description of the .pos files (different folder when in .ds folder or when imported after)
  * Volume scouts
  * Time-frequency: Description of "log freq scale" option
  * Detect bad channels: Peak-to-peak
 * Missing in page "Cite Brainstorm": Add all the methods used in the software
 * Brainstorm File Exchange: Distribute scripts that users would like to share, but that are too specific to be included in the Brainstorm distribution.

== Current bugs ==
 * Screen capture:
  * Bug on Win8/Win10: doesn't capture the correct part of the screen
  * Window managers with fading effect: captures the top window
 * Image viewer:
  * Difficult to get to 100%
  * Buggy on some systems
 * 2DLayout:
  * (TF) Images are too far apart with EEG 20 channels
  * (TF) Units are weird with % values
  * (TF) Difficult to navigate in frequencies: Scaling+changing frequency resets the scaling
  * (time series) Sometimes the lines are not visible
  * (time series) Does not work when DC offset is not removed
 * Progress bar:
  * Doesn't close properly on some Linux systems
  * Focus requests change workspace when processing constantly (Linux systems)
 * 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
 * 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
 * Change of default anatomy does not reset the interpolation matrices in all the subjects.
  * After projecting sources once from subject to default anat, the interpolation is saved and not updated. Interpolations need to be removed manually before projecting again on a new template.
+ * Google: https://www.youtube.com/watch?v=LLMXV3o2FT0
  * https://edu.google.com/why-google/case-studies/unc-chapel-hill-gcp/

== Other interesting resources to check for renewal == 
by tmedani:

neurojson: https://neurojson.org/ demo:https://neurojson.org/wiki/index.cgi?Doc/Start/User#Dynamically_downloading_caching_linked_binary_data_resources

The Neuroscience Gateway (NSG)  https://github.com/sccn/nsgportal/wiki https://www.nsgportal.org/index.html

BIDSAPP

https://open-neuroscience.com/en/

OPM OPM : https://vbmeg.atr.jp/software/ Soft: https://vbmeg.atr.jp/docs/v22/static/vbmeg2_opm_simulation.html#toc4 https://www.sciencedirect.com/science/article/pii/S1053811923004081 https://www.fieldtriptoolbox.org/tutorial/preprocessing_opm/ https://www.fieldtriptoolbox.org/getting_started/opm_fil/ https://mne.tools/stable/auto_examples/datasets/opm_data.html
-Line 424:
+Line 492:
- * Hide Java panels instead of deleting them
+ * 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)
-Line 426:
+Line 496:
- * Interpolations: Use scatteredInterpolant, griddedInterpolant, triangulation.nearestNeighbor (2014b)
 * 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

Software

Users

Development

What's next

Recordings

ECOG/SEEG

Pre-processing

Reproducibility toolbox

Interface

Database

Connectivity

Processes

Anatomy

Forward modeling

Source modeling

Statistics

Input / output

Distribution

Documentation

Current bugs

Distributed computing

Geeky programming details