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MMVT features
NataliaRozengard edited this page Jul 17, 2018
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- 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.
- 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).
- Anatomy (MRI/CT): dicoms and nii/mgz files.
- fMRI / PET: nii/mgz files.
- EEG / MEG: fif, stc.
- Electrodes: edf, or mat/npz files with the relevant fields.
- Connectivity: mat/npz with the relevant fields.
- mne-python
- FreeSurfer, Freeview and fsFast
- SPM