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help > 2nd Level Multi-Session Result Interpretation
Jul 14, 2017 03:07 PM | Nicole Nissim - University of Florida
2nd Level Multi-Session Result Interpretation
Hello CONN Users,
I have a question about my second level results and want to be sure I am interpreting the significant ROI-to-ROI results correctly. I have included a screenshot of my results.
Background on the study design: 16 subjects, 6 runs per subject (341 volumes each), 12 conditions, in a 2 (2-back, 0-back) by 3 (pre-, during, post-stimulation) by 2 (active stim vs sham) design (2x2x3). gPPI analysis for ROI-to-ROI results. I added my own ROIs which are labeled 1-15 and correspond to the working memory network.
Brief description of the study: within group design, participants came in for two separate visits (one active stimulation, one sham stimulation inside the scanner during 3 runs of an N-back task, baseline, during, and post-stimulation, thus they have 6 conditions, 3 for active and 3 for sham)
To understand my labeling:
Ba = pre active
Da = during active
Pa = post active
Bs = pre sham
Ds = during sham
Ps = post sham
In the image attached, I have defined my contrast as 1 -1 1 -1 0 0 0 0 0 0 0 0 (selecting 2-back_Ba, 0-back_Ba, 2-Back_Da, and 0-Back_Da in this contrast).
My question: seed 5 has significantly increased connectivity to targets 13, 7, and 6. With this contrast, I am interpreting this to mean: connectivity is increased during active stimulation for 2>0 relative to baseline active 2>0. Is this correct? Or does this result mean: Increased connectivity is occurring in the baseline active condition relative to during active stimulation?
If I select another contrast instead, for example: 0 0 1 -1 0 0 0 0 1 -1 0 0 , and had significant connectivity results, would this mean for 2>0 during active is increased relative to during sham?
I am unclear about the ordering of the different conditions in terms of interpreting the directionality of significant results.
Any help with this would be greatly appreciated!
Best,
Nicole
I have a question about my second level results and want to be sure I am interpreting the significant ROI-to-ROI results correctly. I have included a screenshot of my results.
Background on the study design: 16 subjects, 6 runs per subject (341 volumes each), 12 conditions, in a 2 (2-back, 0-back) by 3 (pre-, during, post-stimulation) by 2 (active stim vs sham) design (2x2x3). gPPI analysis for ROI-to-ROI results. I added my own ROIs which are labeled 1-15 and correspond to the working memory network.
Brief description of the study: within group design, participants came in for two separate visits (one active stimulation, one sham stimulation inside the scanner during 3 runs of an N-back task, baseline, during, and post-stimulation, thus they have 6 conditions, 3 for active and 3 for sham)
To understand my labeling:
Ba = pre active
Da = during active
Pa = post active
Bs = pre sham
Ds = during sham
Ps = post sham
In the image attached, I have defined my contrast as 1 -1 1 -1 0 0 0 0 0 0 0 0 (selecting 2-back_Ba, 0-back_Ba, 2-Back_Da, and 0-Back_Da in this contrast).
My question: seed 5 has significantly increased connectivity to targets 13, 7, and 6. With this contrast, I am interpreting this to mean: connectivity is increased during active stimulation for 2>0 relative to baseline active 2>0. Is this correct? Or does this result mean: Increased connectivity is occurring in the baseline active condition relative to during active stimulation?
If I select another contrast instead, for example: 0 0 1 -1 0 0 0 0 1 -1 0 0 , and had significant connectivity results, would this mean for 2>0 during active is increased relative to during sham?
I am unclear about the ordering of the different conditions in terms of interpreting the directionality of significant results.
Any help with this would be greatly appreciated!
Best,
Nicole
Threaded View
| Title | Author | Date |
|---|---|---|
| Nicole Nissim | Jul 14, 2017 | |
| Jeff Browndyke | Sep 8, 2017 | |
| Alfonso Nieto-Castanon | Sep 16, 2017 | |
| Jeff Browndyke | Sep 17, 2017 | |
| Alfonso Nieto-Castanon | Aug 30, 2017 | |
| Nicole Nissim | Sep 7, 2017 | |
