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Natalia Rozengard edited this page Sep 6, 2018 · 36 revisions

The visualization and exploration of neuroimaging data are important for the analysis of anatomical and functional images and statistical parametric maps. While two-dimensional orthogonal views of neuroimaging data are used to display activity and statistical analysis, real three-dimensional (3D) depictions are helpful for showing the spatial distribution of a functional network, as well as its temporal evolution. For our best knowledge, currently, there is no neuroimaging 3D tool which can visualize both MEG, fMRI and invasive electrodes (ECOG, depth electrodes, DBS, etc.). Here we present the Multi-Modality Visualization Tool (MMVT). The tool was built for researchers who wish to have a better understanding of their neuroimaging anatomical and functional data. The true power of the tool is by visualizing and analyzing data from multi-modalities. MMVT is built as two separated modules: The first is implemented as an add-on in 'Blender”, an open-source 3D visualization software. The add-on is an interactive graphical interface which enables to visualize functional and statistical data (MEG and/or fMRI) on the cortex and subcortical surfaces, invasive electrodes activity and etc. The tool can also be used for a better 3D visualization of the anatomical data and the invasive electrodes locations. The other module is a standalone software, for importing and preprocessing. The users can select the data they want to import to Blender and how they want to process it.

                                      MEG auditory evoked resposne and sensors data



The list of features can be found here.

A video of the features can be seen here.


Windows full guide.

Linux & Mac OS full guide.

The tool itself can run on windows, mac and linux. If you want to connect it to freeview, you'll need to run it only on freesurfer compatible os, meaning linux and mac. Also in the preprocessing tool there are few call to freesurfer, so mainly to create the anatomy files you'll need an os that supports freesurfer. Beside of that, you can use the tool also on windows.

Download the template brain Colin27 to learn more about the tool

Template brain

We've imported colin27 into MMVT, and included data we morphed from a patient. The data includes recording from EEG, MEG, fMRI, and sEEG for the MSIT task. The data can be downloaded from here (1GB). Extract the zip file in the mmvt_blend folder which was created in your mmvt_root folder. Then, open Blender, close the splash screen and open (File->open) colin's blend file (colin27_laus125.blend).

  • To learn more about the tool you can find several self-explanatory tasks for Colin27 data here.
    • Step by step answers for the tasks can be found here.

Blender shortcuts

  • Rotate the brain using the middle mouse button.
  • Select objects (electrodes / sensors / cortical lables) using the right mouse button. To select cortical labels you need to change first the view to "ROIs" in the Appearence panel.
  • Zoom in/out using the mouse scrolling.

Update the code

Linux: The program can be updated without using the "git pull" function.

  • Lunch MMVT.
  • Open the "Import objects and data" panel.
  • Press the "Update MMVT" button at the top of the panel.


  • In the Git CMD terminal type the letters: cd hit space and write the path to the mmvt_code folder. Example: cd c:\Users\Jhon\Desktop\mmvt_root\mmvt_code
  • Type: git pull

Supported types of analyzed data:

  • FsFast (FreeSurfer Functional Analysis Stream)
  • SPM (Statistical Parametric Mapping)
  • MNE (a software package for processing MEG and EEG)
  • MEG raw data (fif files)
  • FieldTrip (MATLAB software toolbox for neuroimaging analysis)

The users can also reprocess raw data using wrappers for FaFast and mne-python (a python package for sensor and source-space analysis of MEG and EEG data).


We are using as a project management tool.
In case an issue is encountered please press the bar bellow to report about it. - Columns and their card count



This tool is being developed as part of the Transform DBS project. It's sponsored by:

  • The U.S. Army Research Office and Defense Advanced Research Projects Agency under Cooperative Agreement Number W911NF-14-2-0045.
  • The NCRR (S10RR014978) and NIH (S10RR031599,R01-NS069696, 5R01-NS060918, U01MH093765)

Suggested Citation

O.Felsenstein and N. Peled et al. (2017). MMVT - Multi-Modality Visualization Tool. GitHub Repository. DOI:10.5281/zenodo.438343


MMVT is BSD-licenced (3 clause):

This software is OSI Certified Open Source Software.
OSI Certified is a certification mark of the Open Source Initiative.

Copyright (c) 2016, authors of MMVT
All rights reserved.

Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:

* Redistributions of source code must retain the above copyright notice,
  this list of conditions and the following disclaimer.

* Redistributions in binary form must reproduce the above copyright notice,
  this list of conditions and the following disclaimer in the documentation
  and/or other materials provided with the distribution.

* Neither the names of MMVT authors nor the names of any
  contributors may be used to endorse or promote products derived from
  this software without specific prior written permission.

**This software is provided by the copyright holders and contributors
"as is" and any express or implied warranties, including, but not
limited to, the implied warranties of merchantability and fitness for
a particular purpose are disclaimed. In no event shall the copyright
owner or contributors be liable for any direct, indirect, incidental,
special, exemplary, or consequential damages (including, but not
limited to, procurement of substitute goods or services; loss of use,
data, or profits; or business interruption) however caused and on any
theory of liability, whether in contract, strict liability, or tort
(including negligence or otherwise) arising in any way out of the use
of this software, even if advised of the possibility of such
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