band pass filter and degrees of freedom

Dear Sir, We have several reviewer questions that I would kindly ask your assistance with and which relate to the use of your very valuable DPARSF toolbox. 1)Using DPARSF we have bandpass filtered at 0.01-0.1 Hz. The reviewer requested to precisely state the 'type of filter". Was the filtering based on a 'discrete cosine transform' as done in SPM with the given frequencies used as cut-off? 2) the other reviewer question was this: "How many degrees of freedom were left in the data after preprocessing"? I am a little lost with this question. We regressed the white matter, CSF and the global signal ( and selected the 'Friston 24'). We also selected the Head motion scrubbing regressors. The reviewer question was " how was this motion evaluated? Was it done via frame wise displacement (Power et al, 2014)? I very much appreciate your help answering these comments. With kind regards, Catherine Chong From: The R-fMRI Network > Reply-To: The R-fMRI Network > Date: Thursday, August 13, 2015 6:27 AM To: "rfmri.org@rnet.co" > Subject: [RFMRI] a basic question about alff [To post a comment, please reply to rfmri.org@gmail.com ABOVE this line] By fish (fish) Dear Dr. Yan, Sorry to bother you some basic questions, I want to know what I will get after two-sample t-test by using ALFF, the data I uesd mALFF. Second, if I used VOI in spm to extract significant value from two-sample t-test by using ALFF, what's the value represent? Third, if I have used covariates such as gender in the two-sample t-test, after that I extracted value to do correlation, should I use partial correlation, I mean regress out gender covariates again? or only correlation? Any helpful advice will be highly appreciated! Best fish Online version of this post: http://rfmri.org/content/basic-question-about-alff Many a little makes a mickle -- your kind contributions shall make our efforts not perish from the earth. Please help The R-fMRI Network at http://rfmri.org/#overlay=HelpUs To manage subscriptions, please visit: http://rnet.co/mailman/listinfo/rfmri.org_rnet.co Mail comment ID: http://rfmri.org/mailcomment/redirect/%3C31.2089.0.1439472465.115511653394bbb6dffd3750005a523e%40www.rfmri.org%3E