Difference between revisions of "ECP MEG Data Folders"
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(→At the MEG lab:) |
(→Folder Layout /rcc/stor1/projects/ECP/MEG/MEG_Work) |
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==Folder Layout /rcc/stor1/projects/ECP/MEG/MEG_Work== | ==Folder Layout /rcc/stor1/projects/ECP/MEG/MEG_Work== | ||
− | All subjects have a folder with both the | + | All subjects have a folder with both the Anatomy, RAW, tSSS, Preprocessed, and Processed Data |
[[file:ECP Subject.PNG|200px]] | [[file:ECP Subject.PNG|200px]] | ||
Revision as of 18:58, 10 June 2019
Contents
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 both the Anatomy, RAW, tSSS, Preprocessed, and Processed Data
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
Data Folders
RAW and tSSS
The data is labelled with Subjid+_+DataType+_run+RunNumber+_raw.fif
Processing
Initialization
Initialization creates a subject pandas dataframe saved as a csv file in the aProjects folder at the top of the MEG Project folder
Import??
Preproc Initialization 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