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help > Displaying Results in Calculator
Jul 22, 2021 02:07 PM | Nick Bray
Displaying Results in Calculator
Hi Alfonso,
My project is exploring the correlation between Frailty and Connectivity.
My between-subject contrast is:
Effect of Frailty, controlling for age, sex, and education. Set-up as:
[0 1 0 0 0]
[AllSubjects Frailty Age Sex Education]
I conducted a seed-voxel analysis using the right Hippocampus, and it demonstrated higher or increasing connectivity with one cluster. Meaning, increasing connectivity between the Hippocampus and cluster is correlated with increasing Frailty. I now want to display this in the calculator for a visual representation:
1) I "Imported Values" of the cluster showing increased connectivity with the Hippocampus to my 2nd-level covariates. Then in calculator I...
2) Set up my between-subjects contrast in an identical format:
Effect of Frailty, controlling for age, sex, and education. Set-up as:
[0 1 0 0 0]
[AllSubjects Frailty Age Sex Education]
3) For between-measures contrast, I simply selected the imported cluster. *See Screenshot further clarification*
In short, is this approach correct? Is the scatterplot a visual representation of my 2nd-level results? I reviewed this thread (https://www.nitrc.org/forum/message.php?...) and believe I am on the track but just wish to confirm.
Cheers,
Nick
My project is exploring the correlation between Frailty and Connectivity.
My between-subject contrast is:
Effect of Frailty, controlling for age, sex, and education. Set-up as:
[0 1 0 0 0]
[AllSubjects Frailty Age Sex Education]
I conducted a seed-voxel analysis using the right Hippocampus, and it demonstrated higher or increasing connectivity with one cluster. Meaning, increasing connectivity between the Hippocampus and cluster is correlated with increasing Frailty. I now want to display this in the calculator for a visual representation:
1) I "Imported Values" of the cluster showing increased connectivity with the Hippocampus to my 2nd-level covariates. Then in calculator I...
2) Set up my between-subjects contrast in an identical format:
Effect of Frailty, controlling for age, sex, and education. Set-up as:
[0 1 0 0 0]
[AllSubjects Frailty Age Sex Education]
3) For between-measures contrast, I simply selected the imported cluster. *See Screenshot further clarification*
In short, is this approach correct? Is the scatterplot a visual representation of my 2nd-level results? I reviewed this thread (https://www.nitrc.org/forum/message.php?...) and believe I am on the track but just wish to confirm.
Cheers,
Nick
Threaded View
| Title | Author | Date |
|---|---|---|
| Nick Bray | Jul 22, 2021 | |
| Alfonso Nieto-Castanon | Jul 22, 2021 | |
| Nick Bray | Jul 22, 2021 | |
