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(1) Is the mean response of the task. In theory, since the PM is orthogonal to the task regressor, it should have no effect; however, you will likely see some changes with more complex designs or designs with overlapping trials. (2) Is the change in response of the task per unit of the covariate. Best Regards, Donald McLaren ================= D.G. McLaren, Ph.D. Research Fellow, Department of Neurology, Massachusetts General Hospital and Harvard Medical School Postdoctoral Research Fellow, GRECC, Bedford VA Website: http://www.martinos.org/~mclaren Office: (773) 406-2464 ===================== 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 (773) 406-2464 or email. On Fri, Apr 24, 2015 at 11:40 AM, Claire Han <[log in to unmask]> wrote: > Dear experts, > > I have a question about parametric analysis. > > Let's say I create a GLM with condition A parametrically modulated by some > values. > In my model, I will see (1) A*bf(1) and (2) Axvalues^1*bf(1) > > My question is "is (1) the effect of condition A on the brain after > removing the effect of the modulator? or is (1) the effect of condition A > on the brain regardless of the modulator's effect?" > > Hope this is clear. > > Thanks! > Claire >