The former...I think.
Essentially, what I would like to do is to generate a method by which I can obtain z-score images from single subjects' log-transformed Jacobian determinants relative to a large population mean and SD Jacobian determinant images. I already have log-transformed Jacobians determinant values for these few subjects relative to a normal elderly population atlas, but what I'd really like to know is how much these subjects differed from the atlas in z-score values (i.e., translation of log-transformed Jacobians to z-scores). Maybe there's a different (or more appropriate) way to do this?
BTW - we don't have AFNI revved up for use. I know, I know... ;)
---- "MCLAREN wrote:
> Are you wanting the pure standard deviation or the residuals from a multiple
> I believe if you mean center your data (3ddetrend in AFNI), you can then run
> 3dTstat in AFNI to get the standard deviations.
> On Mon, Mar 16, 2009 at 12:18 PM, Jeff Browndyke <[log in to unmask]>wrote:
> > Does anyone have a formula for imCalc or a batch script to generate a
> > population standard deviation image (i.e., sigma)? I'd like to generate
> > such an image for a group of log-transformed, Jacobians determinants for
> > eventual entry into a standard z-score conversion formula.
> > Thanks,
> > Jeff Browndyke
> > ----------------------
> > Duke Univ. Med. Center
> > Dept. of Psychiatry
> Best Regards, Donald McLaren
> D.G. McLaren
> University of Wisconsin - Madison
> Neuroscience Training Program
> Office: (608) 265-9672
> Lab: (608) 256-1901 ext 12914
> This e-mail contains CONFIDENTIAL INFORMATION which may contain PROTECTED
> HEALTHCARE INFORMATION and may also be LEGALLY PRIVILEGED and which is
> intended only for the use of the individual or entity named above. If the
> reader of the e-mail is not the intended recipient or the employee or agent
> responsible for delivering it to the intended recipient, you are hereby
> notified that you are in possession of confidential and privileged
> information. Any unauthorized use, disclosure, copying or the taking of any
> action in reliance on the contents of this information is strictly
> prohibited and may be unlawful. If you have received this e-mail
> unintentionally, please immediately notify the sender via telephone at (608)
> 265-9672 or email.