This is just a thought, but is this issue mitigated to some degree if 
you can show that the regions in which you are interested meet a certain 
minimum signal to noise ratio? Or maybe a more stringent requirement 
would be necessary, such that the SNR of the ROIs don't differ 
significantly?

Always wondered about this.

Anthony

On 12/20/10 9:26 AM, Martin Reuter wrote:
> Hi Diederick,
>
> In a longitudinal study you need to ensure identical acquisition and 
> processing, else you'll introduce a systematic bias.
> Some of my recent analyses indicate that even updating the software on the 
> scanner can bias your results. Hardware changes are worse.
>
> Best Martin
>
> On Dec 20, 2010, at 6:48 AM, Diederick Stoffers<d.stoff...@gmail.com>  wrote:
>
>> Hi all,
>>
>> I have a dataset with AD patients that were scanned twice, once at 1.5T and 
>> once at 3T at an interval of a few years. The ICV values are lower for 
>> almost all subjects at timepoint two (FS 5.0). Isn't ICV in the later FS 
>> versions supposed to be independent of brain volume as it is based on a 
>> scaling factor derived from the Tailairach transform of the skull? Many 
>> thanks!
>>
>> Cheers,
>>
>> Diederick
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-- 
Anthony Steven Dick, Ph.D.
Assistant Professor
Department of Psychology
Florida International University
Modesto A. Maidique Campus DM 296B
11200 S.W. 8th Street
Miami, FL 33199
Phone: 305-348-4202
Lab Phone: 305-348-9057 or 305-348-9055
Fax: 305-348-3879
Email: ad...@fiu.edu
Webpage: http://www.fiu.edu/~adick


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