Hi Martin,

Thank you for your answer, but my idea was to compare the atrophy
rates when using scans at 6 months (0 - 6 months) and scans at 12
months (0 - 12 months). If my templates are built with more time
points, the results will be biased, right?

Regards,
Yolanda

2013/3/18 Martin Reuter <mreu...@nmr.mgh.harvard.edu>:
> Hi Yolanda,
>
> actually it is advantageous if the template is build from more time points.
> You don't need to process the images again, just do your statistical
> analysis with the time points you are interested in.
>
> But: why restrict the statistics to a subset of the data? If you are
> interested in yearly change, you can compute that from all time points. If
> you are interested in seeing if the atrophy rate increases over time, use a
> piecewise linear model (node at 6 months) and see if the slopes increase,
> etc. Removing time points from the statistics is usually a bad idea as you
> loose power.
>
> Best, Martin
>
>
> On 03/18/2013 01:15 PM, Yolanda Vives wrote:
>>
>> Dear FreeSurfer experts,
>>
>> I have run a longitudinal study considering multiple time points (7
>> scans/subject on average) with FS 5.1. However, I am interested in the
>> percent changes between two time points only (between 0 and 6 months
>> and between 0 and 1 year). Should I run the longitudinal stream from
>> step 2 (template) two more times (1.- considering only 0 and 6 months
>> scans and 2.- considering only 0 and 12 months scans) or is it correct
>> even if my templates were built with all the time scans together?
>>
>> Thank you for your help,
>> Yolanda
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>
> --
> Dr. Martin Reuter
> Assistant in Neuroscience - Massachusetts General Hospital
> Instructor in Neurology   - Harvard Medical School
> MGH / HMS / MIT
>
> A.A.Martinos Center for Biomedical Imaging
> 149 Thirteenth Street, Suite 2301
> Charlestown, MA 02129
>
> Phone: +1-617-724-5652
> Email:
>    mreu...@nmr.mgh.harvard.edu
>    reu...@mit.edu
> Web  : http://reuter.mit.edu
>
>
>
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