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Hi Dr. Greve,

Thanks for your quick reply. Could you please give me more details how can
I check this whether its because of noise or its because of less CV
difference?
I am not sure what method/way is the best and commonly used to confirm
these factors.

Thanks.

On Tue, Jul 24, 2018 at 7:06 AM, Douglas Greve <dgr...@mgh.harvard.edu>
wrote:

> your results could have vanished after ICV correction for one of two
> reasons: the CV difference became less or the values became noisier (or a
> combination). So check in your data which one of those things happened.
>
>
> On 7/23/18 8:30 PM, Martin Juneja wrote:
>
>         External Email - Use Caution
> Hello experts,
>
> I am interested in identifying regions of interest by comparing cortical
> volume (CV) between controls and patients.
>
> After including age and sex as my covariates, I identified regions X1 and
> X2, which showed significantly lower CV for patients (as compared to
> controls).
>
> But after I include ICV as another covariate, my results show that for
> none of the areas there is any significant difference in CV, i.e. my
> results vanish.
>
> When I checked subjectwise ICV for each group, I found that there is
> almost significant difference (two-sampled t-test, p = 0.067) in ICV
> between two groups, but interestingly mean group ICV for patients group was
> larger compared than mean ICV for controls. But as I said earlier, regions
> X1 and X2 had significantly lower CV for patients (as compared to
> controls), when I didn't include ICV as covariate.
>
> Could you please help me in interpreting these results? Is there any
> advice regarding inclusion of ICV as covariate? Or my results are purely
> because of differences in ICV between groups, and there is no real findings
> regarding the regions identified (X1 and X2)?
>
> Thanks a lot !
>
>
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