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help > RE: second-level analysis in Conn
Aug 12, 2015 09:08 PM | Diana Parvinchi - McMaster University
RE: second-level analysis in Conn
> (
Hi Alfonzo,
Thanks a lot for your help! I have attached three screen shots of different tables to get your input on each. In all the tables, the first three regressors are the three age-groups (age-group1: 3-7 years; age-group2: 8-12; age-group3: 13-20 years) and the last three regressors are scores on a clinical measure (social interpersonal relationships) for each group. I used the between-subjects contrast you specified previously [0 0 0 1 -1 0; 0 0 0 0 1 -1] for two of the tables and I used the any-effect contrast from the options listed under the Between-subjects contrast for one table. Could you please provide your interpretation of these tables. The table with the any-effect is labels as such and I�m curious to get your input on that result - not sure what this contrast mean within this context.
I also have a couple of other questions:
1) If we�re interests in connectivity within a brain network (e.g. default mode), could I select several ROIs corresponding to the regions making up that network and run the same contrasts?
2) could we make changes to these tables?
3) Are the error bars in the tables Standard Deviations or Standard Errors - all very large in our case?
Many thanks for your help.
Best,
Diana.
> )
Hi Alfonzo,
Thanks a lot for your help! I have attached three screen shots of different tables to get your input on each. In all the tables, the first three regressors are the three age-groups (age-group1: 3-7 years; age-group2: 8-12; age-group3: 13-20 years) and the last three regressors are scores on a clinical measure (social interpersonal relationships) for each group. I used the between-subjects contrast you specified previously [0 0 0 1 -1 0; 0 0 0 0 1 -1] for two of the tables and I used the any-effect contrast from the options listed under the Between-subjects contrast for one table. Could you please provide your interpretation of these tables. The table with the any-effect is labels as such and I�m curious to get your input on that result - not sure what this contrast mean within this context.
I also have a couple of other questions:
1) If we�re interests in connectivity within a brain network (e.g. default mode), could I select several ROIs corresponding to the regions making up that network and run the same contrasts?
2) could we make changes to these tables?
3) Are the error bars in the tables Standard Deviations or Standard Errors - all very large in our case?
Many thanks for your help.
Best,
Diana.
> )
