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<<BR>> == MEG Auditory evoked potential == Acquisition system: ''Neuromag Vectorview306''. Description of the windows: * Main !BrainStorm window * Timeseries of all the MEG sensors [-200ms, 500ms] * Magnetic field recorded by the magnetometers at t=106ms * Spatial view of the magnetometers time series [-200ms, 500ms] * Reconstruction of the cortical currents, based on the magnetometers, at t=106ms [[attachment:snap_1condition.jpg|{{attachment:snap_1condition_sm.jpg|attachment:snap_1condition.jpg}}]] |
== MEG somatosensory evoked responses == Acquisition on an ''CTF 275'' instrument for a left median nerve electric stimulation. <<BR>>[[attachment:snap_median.jpg|{{attachment:snap_median_sm.jpg|attachment:snap_median.jpg}}]] |
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== Database and right click == The tree in the main !BrainStorm window represents the database for the selected study. This database has three levels of definition: Protocol (ie. study, selected in the toolbar), Subject, and Condition. |
== Baby auditory EEG responses == Acquisition system: ''EGI GSN - Baby 64 electrodes''. <<BR>> [[attachment:snap_3conditions.jpg|{{attachment:snap_3conditions_sm.jpg|attachment:snap_3conditions.jpg}}]] |
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The first three buttons in the toolbar allows the user to switch between different views of the same database: | <<BR>> |
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* Anatomy: display the MRI and surfaces for each subject * Functional data (sorted by subject): sensors definition, recordings, sources, statistic results * Functional data (sorted by condition): idem, but sorted in a different way The following example shows the MEG+EEG protocol "Catching". == Multiple conditions: Baby auditory EEG == Acquisition system: ''EGI GSN - 64 electrodes'' Description: * One subject: "001" * Three conditions: "GM", "GMM", "VM" * Two views: overlaid electrodes time series, and estimated cortical sources at t=376ms [[attachment:snap_3conditions.jpg|{{attachment:snap_3conditions_sm.jpg|attachment:snap_3conditions.jpg}}]] |
== Continuous recordings and markers == Review recordings directly reading from the original files, edit markers, detect and correct artifacts. <<BR>> [[attachment:snap_raw.jpg|{{attachment:snap_raw_sm.jpg|attachment:snap_raw.jpg}}]] |
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BrainStorm offers the possibility to reconstruct the cortical activity either on the individual subject anatomy, or on a default anatomy (MNI / Colin27). For this purpose, many interactive tools are available to view, register and process the MR images and the corresponding meshes. However, the cortex segmentation must be performed by external program of your choice ([[Links|list here]]). | Brainstorm features the possibility to model MEG and EEG neural generators either from the individual subject anatomy, or by using a template anatomy (MNI / Colin27) that can be warped to the individual scalp surface. Multiple interactive tools are available to view, register and process the MR images and the corresponding tessellated envelopes. However, tissue segmentation must be performed using another software; multiple options exist today in the academic community ([[Links|listed here]]). |
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Here are a few examples of the views you can obtain with a simple click on the subject's MRI or surface. All the 3D views can be rotated freely with the mouse, zoomed with the wheel, edited with the "Surfaces panel" and with their popup menu. The MRI slices can be moved with a simple mouse operation: right-click and mouse drag. [[attachment:snap_anatomy.jpg|{{attachment:snap_anatomy_sm.jpg|attachment:snap_anatomy.jpg}}]] |
We provide a few examples of the views you can easily obtain with Brainstorm. All the 3D views can be rotated freely with the mouse, zoomed with the wheel, edited with the "Surface panel" and contextual popup menus. The MRI slices can be browsed with a simple mouse operation: right-click and mouse drag.<<BR>>[[attachment:snap_anatomy.jpg|{{attachment:snap_anatomy_sm.jpg|attachment:snap_anatomy.jpg}}]] |
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== Anatomical atlases == Integrated support for the individual surface-based anatomical atlases generated by !FreeSurfer and !BrainSuite. {{attachment:atlases.jpg}} |
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All the figures displayed with BrainStorm are always linked in time; and if they represent the same datasets, the sensors selection is also the same for all the views. Selection of a channel of data is done by clicking on it, in a time series or a 3D view. Selected sensors can be displayed separately, marked as "bad", or deleted. [[attachment:snap_channel.jpg|{{attachment:snap_channel_sm.jpg|attachment:snap_channel.jpg}}]] |
All the figures displayed by Brainstorm are linked in time. If they feature the same dataset, the sensor selection is also the same for all views. The selection of a channel subset can be easily perfomed by clicking on the corresponding channels in a time series display or a 3D view. Selected channels can be displayed separately, marked as "bad", or deleted.<<BR>>[[attachment:snap_channel.jpg|{{attachment:snap_channel_sm.jpg|attachment:snap_channel.jpg}}]] |
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== Cortical regions of interest == Acquisition system: ''CTF MEG - 275 sensors'' |
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Scouts are cortical regions of interest, defined graphically from the "Scout" tab. They can be used to extract the time series of MEG and EEG generators within a single or mulitlple brain region. | |
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The following example shows the cortical response to an electric stimulation of the left median nerve. With the three scouts "S1 right", "S2 right" and "S2 left"'','' we can track the processing of the stimulus in the brain: 1) contralateral primary somatosensory cortex, 2) contralateral sencondary somatosensory, 3) ipsilateral secondary somatosensory.<<BR>>[[attachment:snap_1scout.jpg|{{attachment:snap_1scout_sm.jpg|attachment:snap_1scout.jpg}}]] <<BR>> == Scripting environment == Everything that can be done in the interface with mouse clicks can be converted automatically to Matlab scripts, using the Process1 and Process2 tabs.<<BR>>[[attachment:snap_scripting.jpg|{{attachment:snap_scripting_sm.jpg|attachment:snap_scripting.jpg}}]] |
Screenshots
MEG somatosensory evoked responses
Acquisition on an CTF 275 instrument for a left median nerve electric stimulation.
Baby auditory EEG responses
Acquisition system: EGI GSN - Baby 64 electrodes.
Continuous recordings and markers
Review recordings directly reading from the original files, edit markers, detect and correct artifacts.
Subject anatomy: MRI and surfaces
Brainstorm features the possibility to model MEG and EEG neural generators either from the individual subject anatomy, or by using a template anatomy (MNI / Colin27) that can be warped to the individual scalp surface. Multiple interactive tools are available to view, register and process the MR images and the corresponding tessellated envelopes. However, tissue segmentation must be performed using another software; multiple options exist today in the academic community (?listed here).
We provide a few examples of the views you can easily obtain with Brainstorm. All the 3D views can be rotated freely with the mouse, zoomed with the wheel, edited with the "Surface panel" and contextual popup menus. The MRI slices can be browsed with a simple mouse operation: right-click and mouse drag.
Anatomical atlases
Integrated support for the individual surface-based anatomical atlases generated by FreeSurfer and BrainSuite.
Channel selection
All the figures displayed by Brainstorm are linked in time. If they feature the same dataset, the sensor selection is also the same for all views. The selection of a channel subset can be easily perfomed by clicking on the corresponding channels in a time series display or a 3D view. Selected channels can be displayed separately, marked as "bad", or deleted.
Cortical regions of interest
Acquisition system: CTF MEG - 275 sensors
Scouts are cortical regions of interest, defined graphically from the "Scout" tab. They can be used to extract the time series of MEG and EEG generators within a single or mulitlple brain region.
The following example shows the cortical response to an electric stimulation of the left median nerve. With the three scouts "S1 right", "S2 right" and "S2 left", we can track the processing of the stimulus in the brain: 1) contralateral primary somatosensory cortex, 2) contralateral sencondary somatosensory, 3) ipsilateral secondary somatosensory.
Scripting environment
Everything that can be done in the interface with mouse clicks can be converted automatically to Matlab scripts, using the Process1 and Process2 tabs.