ECP MEG Data Folders: Difference between revisions
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==At the MEG lab:== | ==At the MEG lab:== | ||
Data is acquired to the MEG_acq/ecp/ folder | Data is acquired to the MEG_acq/ecp/ folder | ||
Data is tSSS processed and organized into raw and tSSS folders | Data is tSSS processed and organized into raw and tSSS folders (the format of the data can be seen below) | ||
[[file: RAW format.PNG | 300px]] | [[file: RAW format.PNG | 300px]] | ||
Data is uploaded to to the RCC using scp (/rcc/stor1/projects/ECP/MEG/MEG_Orig) | Data is uploaded to to the RCC using scp (/rcc/stor1/projects/ECP/MEG/MEG_Orig) |
Revision as of 18:57, 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 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