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I'm also talking about where in the code each step is handled in SPM. > On Wed, 16 Jan 2008 12:31:57 -0800, Linda Seltzer > <[log in to unmask]> > wrote: > > >Does anyone written a paper or tutorial applying the well-known concepts > > of > >sampling, aliasing, Nyquist theorem, etc. to data analysis in SPM? > >Specifically, TR and sampling rate; spectrum of voxel data vs time, the > >same with noise; how the concept of jitter relates to this; upsampling > to > >convolve the delta fns with hemodynamic response (for the regressors) > and > >then downsampling the signal back, when each step is done. I would like > > to > >see a description from a signal processing engineering viewpoint of how > all > >of the sampling rates and bandwidths are handled. If there is nothing > >formal, but someone has made some notes deriving all of this, I would > like > >to read them and learn more. I would like to have an overview of all of > >the sampling rates and spectrums involved. > >Linda Seltzer > >[log in to unmask] > >[log in to unmask] > >========================================================================= > > IMHO a useful way to look at this is to not restrict consideration to SPM, > > but think about fMRI analysis in general (restricted to the case of > univariate statistics, as opposed to multivariate methods). Then look for > > articles in the published literature via Google or PubMed. There's quite > > a bit out there. > > Just to take an interesting an relevant example, the problems of aliased > noise from cardiac and respiratory cycles is discussed quite frequently. >