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weights.csv, meanlength.csv and connectome.csv #103
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Thanks for your reply!!! |
Hi! Sorry to bothor you! I've use the connectome.csv and meanlength.csv to run FAST-TVB, however get a correlation of 0.02 with the empiral FC, it seems that the strength is too weak, about 1e-7+1 with G = 0.3, how can I improve it? |
Hi! I'm sorry to bothor you! I've run participant level and the get these three .csv .
I wonder the meaning of them, does weights.csv contains a fiber-weight matrix, which shape is n*n, n is the number of regions? However, it seems about 300M, which is too large for data, as the meanlength.csv is 7kb and connectome.csv is 522kb.
Actually, I wonder the difference between meanlength.csv and connectome.csv.
My instruction is:
python mrtrix3_connectome.py BIDS/sub-01/output/MRtrix3_connectome-preproc/ BIDS/sub-01/output participant -parcellation brainnetome246mni -atlas_path data/tvb_optimize_sc/ -output_verbosity 4 -force
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