MMVT features

Plot more than one modality in the same time: fMRI/MEG/EEG source activity with electrodes and connectivity.
Filter the selected sources (EEG/MEG evoked response for cortical labels, electrodes, etc) according to selected function (e.g. RMS between two conditions).
Play activity over time interactively. The activity is being plotted on the brain and shown as time-series graphs.
Report generator dynamically modified from HTML template with figures created on MMVT.

Create a 3D brain, including the cortex and the subcortical structures, from FreeSurfers MRI scan reconstruction.
Interactive 3D view of the brain, including rotation, zooming and shifting. The user can also hide each hemisphere and subcortical region.
Parcellae the cortex into cortical labels.
- Homogeneously color all labels or each label separately.
- Color the contours of all labels or each label separately.
Interactive slice viewer that is synched with the 3D brain model, supports MRI and CT.
Import the pial surface on the slice viewer which is reconstructed from the MRI scan.
3D slicer divides the 3D brain model in 3 different axis viewpoints.
Morph between the pial surface, the inflated surface and the flat surface.
Calculate the skull thickness in an interactive panel for surgery planning.
Manually color different parts of the cortex and subcortical structures.
Customize the color bar appearance and color palette.

Load a 2D niftii file, and plot it on the brain.
Project a 3D niftii file on the cortex and subcortical regions and plot it.
Run FsFast on raw data and plot the resulting contrast map.
Cluster a contrast map and visualize interactively the different clusters while showing the information about each cluster (size, max value, intersected cortical labels, etc.).
Clean and analyze resting state data.
- Calculate the time-series for the cortical labels and subcortical regions.
- Calculate the time-series for the cortical and subcortical vertices.

Clean and filter raw data.
Calculate the evoked responses (both on task and rest data):
- On sensors level and interactively visualize them.
- On source space (using MNE, dSPM, sLORETA and more) per cortical label or vertice and interactively visualize.
Cluster source space activity into cortical ROIs and interactively visualize them.
Load an existing stc file and plot it on the cortex.
Visualize EEG 3D topoplot.

Visualize the electrodes in the subject's MRI space and color them according to their activity.
Analyze each electrode source according to the subject's anatomy and visualize the probabilistic model on the cortex and subcortical regions.
Snap grids (ECoG) electrodes on the cortical surface.
Import and analyze edf files.
Automatic method for detecting depth electrodes from a CT scan, and group them together into different leads (~95% accuracy).
Visualize live stream data from a remote server or device.

Calculate connectivity between fMRI/MEG cortical labels and interactively visualize it on the 3D brain.
Calculate connectivity between invasive electrodes and interactively visualize it on the 3D brain.
Calculate degree of connectivity fMRI/MEG cortical labels and interactively visualize it.

Render the 3D brain using the Blender “cycles” engine, including transparency, lighting, material types and more.
Render videos including the time series graph.
Create high resolution figures one at a time or from all perspectives at once.
Create high resolution videos including an option to preset automated rotation angle.
Import the outer skin, which is reconstructed from the MRI scan.

Run scripts in the background without using the GUI (e.g. save activity in different perspectives, render movies, and more).
Call MMVT object from a script, while Blender is running in the background on a remote server (can be run in Jupyter notebooks).

Edited 11/2/2018

General

Windows Installation

Linux & Mac OS Installation

PreProcessing

Tutorials

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