ECP MEG Data Folders: Difference between revisions
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[[file:AProject Folder.png|400px]] | [[file:AProject Folder.png|400px]] | ||
The Contents of the subject dataframe are stored in a .csv file which can be opened using LibreOffice | The Contents of the subject dataframe are stored in a .csv file which can be opened using LibreOffice | ||
[[file:Subject DataFrame.PNG| | [[file:Subject DataFrame.PNG|1000px]] | ||
====Import??==== | ====Import??==== |
Revision as of 19:48, 10 June 2019
At the MEG lab:
Data is acquired to the MEG_acq/ecp/ folder Data is tSSS processed and organized into raw and tSSS folders (the format of the data can be seen below)Data is uploaded to to the RCC using scp (/rcc/stor1/projects/ECP/MEG/MEG_Orig) Data is copied into /rcc/stor1/projects/ECP/MEG/MEG_Work for further processing
Folder Layout /rcc/stor1/projects/ECP/MEG/MEG_Work
All subjects have a folder with the following folders: Anatomy, RAW, tSSS, Process_*DataType*![]()
Anatomy Layout
Typical Freesurfer layout with BEM process performed The folder is always labelled Anatomy (a hack to make all folders homogeneous and easier to process) The Anatomy-trans.fif is created during the MNE python coregistration step![]()
Data Layout
RAW and tSSS
The data is labelled with Subjid+_+DataType+_run+RunNumber+_raw.fif![]()
Proc Folders
The Process_*DataType* folders are created after
Processing
Initialization
init_subject_dataframe - initialization creates a subject pandas dataframe saved as a csv file in the aProjects folder at the top of the MEG Project folderThe Contents of the subject dataframe are stored in a .csv file which can be opened using LibreOffice
![]()
Import??
init_subject_process - creates a folder for each data type and creates a link to the original dataset
Cleaning
Cleaning (baddata pipeline) performs ICA removal of heartbeat and eyeblink artifact that is correlated to EOG and ECG electrodes at a threshold of (r=???)![]()
RCC preprocessing
The data is then copied to a folder /rcc/stor1/projects/ECP/MEG/MEG_Work