Note the "RAW" tag over the icon of the folder ( ), indicating that the MEG files contain unprocessed, continuous data. Select the appropriate MEG file format: MEG/EEG: CTF(*.ds *.meg4 *.res4)Ī new folder SubjectCMC is created in the Brainstorm database explorer. Right-click on Subject01 > Review raw file: ![]() Switch now to the Functional data view of your database contents ( ). Right-click on the MRI ( ) > MRI segmentation > Generate head surface.ĭouble-click on the newly created surface to display the scalp in 3-D. We will therefore now extract the scalp surface from the MRI volume. We still need to verify the proper geometric registration (alignment) of MRI with MEG.We will proceed with MRI segmentation below, before performing source-level analyses. However, we will proceed differently, for consistency with the original FieldTrip pipeline, and readily obtain sensor-level coherence results. In all typical Brainstorm workflows from this tutorial handbook, we recommend processing the MRI volume at this stage, before importing the functional (MEG/EEG) data. ![]() These fiducials are located near the left/right ears and just above the nose, respectively. note that three anatomical fiducials (left and right pre-auricular points (LPA and RPA), and nasion (NAS)) are automatically identified. This step will launch Brainstorm's MRI viewer, where coronal, sagittal and axial cross-sections of the MRI volume are displayed. Select the file: SubjectCMC/SubjectCMC.mri Select the file format: All MRI files (subject space) Right-click on the Subject01 > Import MRI: Switch to the Anatomy view of the protocol ( ). Keep the default options defined for the study (aka "protocol" in Brainstorm's vernacular). Right-click on the newly created TutorialCMC node > New subject > Subject01. No, use one channel file per acquisition run. Name the new protocol TutorialCMC and select the options: Select from the menu File > Create new protocol.
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