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They represent the high-pass filter. Best Regards, Donald McLaren ================= D.G. McLaren, Ph.D. Postdoctoral Research Fellow, GRECC, Bedford VA Research Fellow, Department of Neurology, Massachusetts General Hospital and Harvard Medical School 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 Sun, Mar 25, 2012 at 12:43 PM, Jason Love <[log in to unmask]>wrote: > Hello SPMers -- > So, after modeling the data with default high pass frequency (128sec), I > plotted SPM.xX.K(i).X0 for the sake of curiosity. > And I noticed that there are several different sinusoidal waves where > SPMxX,K(1).X0 has the smallest frequency and SPM.xX.K(6).X0 has the highest > frequency among the waves. > I can only guess that they will be treated as the nuisance variables and > will later be regressed out (for the purpose of filtering out the slow > drift in the fMRI time series). > It'd be great if anyone can clarify this. But I may be wrong in guessing > so and I couldn't seem to find any answers in the list > > Thanks, > Jason > >