Hi everyone,
I would really appreciate some guidance regarding my study design and analysis choices in CONN.
I have a within-subject design with 13 participants. Each subject completed two scanning sessions: one before an intervention (teaching a specific skill) and one after a 2-week training period. In each session, a behavioral test was also conducted, so I have two test scores per subject (pre and post). I included these scores as covariates in CONN.
I have two main questions:
1. Analysis method (GCOR):
I decided to use GCOR as part of an exploratory analysis, mainly
because there are no previous studies on this topic and my sample
size is relatively small (n = 13).
Would GCOR be an appropriate choice in this case, or would you
recommend a different approach for exploratory functional
connectivity analysis?
2. Second-level model /
contrasts:
I am a bit confused about how to correctly set up the second-level
analysis.
My goal is to compare pre- vs. post-training connectivity while
also taking into account the behavioral test scores (i.e., looking
at correlations with performance).
Given that I have:
- Two conditions (pre and post)
- Two test scores per subject (included as covariates)
What would be the correct way to define:
- Subject effects
- Conditions
- Contrasts
to properly assess:
(a) the difference between pre and post, and
(b) the relationship between connectivity changes and test score
changes?
Any clarification or example setup would really help.
Thank you!
