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help > RE: Different baselines and contrasts
Dec 17, 2020 01:12 PM | Nick Bray
RE: Different baselines and contrasts
Hi Alfonso,
Thank you for the very detailed information in your response to the original post. Like msc_22, I am wondering if it is now possible to analyze post-intervention connectivity while controlling for pre-intervention connectivity, but in an ROI-ROI analysis?
For context, I am working on a double-blind RCT. One of my analyses looks at the effect of a vitamin intervention vs placebo. Pre-intervention, my control group demonstrates significantly greater between-network connectivity. Post-intervention, there are no longer any significant between group differences.
Regards,
Nick
Originally posted by msc_22:
Thank you for the very detailed information in your response to the original post. Like msc_22, I am wondering if it is now possible to analyze post-intervention connectivity while controlling for pre-intervention connectivity, but in an ROI-ROI analysis?
For context, I am working on a double-blind RCT. One of my analyses looks at the effect of a vitamin intervention vs placebo. Pre-intervention, my control group demonstrates significantly greater between-network connectivity. Post-intervention, there are no longer any significant between group differences.
Regards,
Nick
Originally posted by msc_22:
Hi Alfonso,
I was reading through the forum and came across your post below describing the use of a one-way ANCOVA where pre-treatment measures are used as a covariate to account for baseline differences (instead of a 2-way mixed ANOVA). Very interesting! Could you please let me know whether it is possible to implement this in CONN for seed-to-voxel and MVPA analyses, and how easy it is to implement? Also, do you think this approach is now commonly known/understood/used in the imaging field (I have never seen it in any paper)?
Many thanks
I was reading through the forum and came across your post below describing the use of a one-way ANCOVA where pre-treatment measures are used as a covariate to account for baseline differences (instead of a 2-way mixed ANOVA). Very interesting! Could you please let me know whether it is possible to implement this in CONN for seed-to-voxel and MVPA analyses, and how easy it is to implement? Also, do you think this approach is now commonly known/understood/used in the imaging field (I have never seen it in any paper)?
Many thanks
Threaded View
| Title | Author | Date |
|---|---|---|
| Lucas Moro | Jun 27, 2016 | |
| Jeff Browndyke | Jun 28, 2016 | |
| Alfonso Nieto-Castanon | Jun 29, 2016 | |
| msc_22 | May 12, 2020 | |
| Nick Bray | Dec 17, 2020 | |
| Jeff Browndyke | Jun 29, 2016 | |
| Lucas Moro | Jun 29, 2016 | |
| Lucas Moro | Jun 28, 2016 | |