help > Making graphs with connectivity values and clinical correlations
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Mar 19, 2019 03:03 PM | Vincent Huynh - University of Zurich, Balgrist Campus
Making graphs with connectivity values and clinical correlations
Dear Alfonso and all
Hope my message finds you well, I recently have been investigating the impact of pain on connectivity in a cohort of patients using multiple linear regression models in CONN (i.e. 0 0 0 1 , 1 being pain as interest)
Thankfully they also show significant correlations with connectivity, however I wish to plot these values in a graph (for visual presentation) so I can make it more intuitive for the reader, thus my question is:
How do I do this in CONN (if it is possible)? and if it is not possible do I simply extract the connectivity values from the contrast I made in the GUI and simply do a scatterplot with the clinical data ? (for example connectivity strength on the Y axis and clinical data on the X axis)
I have tried this before and it does not show a nice correlation in the graph, thus I was wondering do I need to normalise the clinical data first as it does in the GLM model?
If anyone has experienced this please let me know and I look forward to your feedback and help!
Many thanks for your time
Vincent
Hope my message finds you well, I recently have been investigating the impact of pain on connectivity in a cohort of patients using multiple linear regression models in CONN (i.e. 0 0 0 1 , 1 being pain as interest)
Thankfully they also show significant correlations with connectivity, however I wish to plot these values in a graph (for visual presentation) so I can make it more intuitive for the reader, thus my question is:
How do I do this in CONN (if it is possible)? and if it is not possible do I simply extract the connectivity values from the contrast I made in the GUI and simply do a scatterplot with the clinical data ? (for example connectivity strength on the Y axis and clinical data on the X axis)
I have tried this before and it does not show a nice correlation in the graph, thus I was wondering do I need to normalise the clinical data first as it does in the GLM model?
If anyone has experienced this please let me know and I look forward to your feedback and help!
Many thanks for your time
Vincent