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help > RE: how to interpret 2nd-level analysis results (basic/beginner)
Nov 25, 2021 12:11 AM | Alfonso Nieto-Castanon - Boston University
RE: how to interpret 2nd-level analysis results (basic/beginner)
Hi Nancy,
Selecting 'controls' and 'SMA' and entering a contrast [0 1] (effect of SMA) shows the average connectivity (positive or anticorrelations) within the SMA group. Entering a contrast [-1 1] (SMA>controls) will shows you instead those regions where the connectivity is higher in SMA compared to controls (shown in red color) or higher in controls compared to SMA (shown in blue color). See https://web.conn-toolbox.org/fmri-methods/general-linear-model for more details on how to define and interpret second-level analyses
Best
Alfonso
Originally posted by Nancy Mugisha:
Selecting 'controls' and 'SMA' and entering a contrast [0 1] (effect of SMA) shows the average connectivity (positive or anticorrelations) within the SMA group. Entering a contrast [-1 1] (SMA>controls) will shows you instead those regions where the connectivity is higher in SMA compared to controls (shown in red color) or higher in controls compared to SMA (shown in blue color). See https://web.conn-toolbox.org/fmri-methods/general-linear-model for more details on how to define and interpret second-level analyses
Best
Alfonso
Originally posted by Nancy Mugisha:
Hi there,
I am new to CONN and was able to get to 2nd-level analyses. I have two groups: controls and SMA (patient) group. When I select both such that is says "effect of SMA" - what exactly is it showing me when I display the results? Is it showing me regions where my selected seed shows stronger/weaker functional connectivity?
Similarly, if I set my control and SMA group as (-1, 1) respectively shown as a control > SMA contrast, is this showing me where the selected seed of my control group shows stronger functional connectivity.
Sorry if these are basic questions.
I am new to CONN and was able to get to 2nd-level analyses. I have two groups: controls and SMA (patient) group. When I select both such that is says "effect of SMA" - what exactly is it showing me when I display the results? Is it showing me regions where my selected seed shows stronger/weaker functional connectivity?
Similarly, if I set my control and SMA group as (-1, 1) respectively shown as a control > SMA contrast, is this showing me where the selected seed of my control group shows stronger functional connectivity.
Sorry if these are basic questions.
Threaded View
| Title | Author | Date |
|---|---|---|
| Nancy Mugisha | Nov 24, 2021 | |
| Alfonso Nieto-Castanon | Nov 25, 2021 | |