Deconvolution Analysis of FMRI Time Series Data

Program dDeconvolve was developed to provide deconvolution analysis of FMRI time series data This has two primary applications estimation of the system impulse response function and multiple linear regression analysis of time series data Given the input stimulus function s and the measured FMRI signal data program dDeconvolve rst estimates the impulse response function s the impulse response function s is then convolved with the stimulus time series to yield the estimated response Various statistics are calculated to indicate the goodness of the t The capability of tting multiple stimulus or reference waveforms di erenti ates program dDeconvolve from the cross correlation analysis programs such as AFNI m and d m Another way that program dDeconvolve di ers from the cross correlation analysis programs is in the model for the output waveform The cross correlation programs model the system response as a scaled version of a xed waveform such as a square wave or a sine wave Program dDeconvolve uses a sum of scaled and time delayed versions of the stimulus time series The data itself de termines within limits the functional form of the estimated response In fact the shape of the tted waveform can vary from voxel to voxel Program dDeconvolve is described in Section Since program dDeconvolve was developed for use in a batch processing mode it should be used in conjunction with the interactive program plug deconvolve See the documentation for program plug deconvolve for a description of this interactive version The details are contained in Section Program RSFgen is a simple program for generating random stimulus functions This capability may be useful for experimental design and the evaluation of experi mental designs This program is described in Section Program dConvolve as the name implies performs the inverse operation of pro gram dDeconvolve That is program dConvolve convolves the input stimulus func tions with the given system impulse response functions in order to predict the output measured response This program is described in Section