Deconvolution Analysis of FMRI Time Series Data - Waisman ...
Deconvolution Analysis of FMRI Time Series Data - Waisman ...
Deconvolution Analysis of FMRI Time Series Data - Waisman ...
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In matrix terms, the null hypothesis is specied by H o : C = 0, whereC = 0 0 0 1 0 0 0 0 0 ;1 0 Note how the elements <strong>of</strong> the C matrix correspond to the coecients <strong>of</strong> the linear constraintwhich corresponds to the null hypothesis.Store the above matrixas1rowinto le glt3.mat, and execute the script for the previousexample, except replace the -glt command line with:;glt 1 glt3:mat; glt label 1 "Difference"The output is the same as for Example 1.4.3.5, but with the additional GLT output:General Linear Test: DifferenceLC[0] = -0.2026R^2 = 0.0045 F[1,7] = 0.0315 p-value = 8.6417e-01Verify that LC[0] = h R [1] ; h E [1].Example 1.4.4.4 Comparison <strong>of</strong> two dierent impulse response functionsTo test whether the response to stimulus r(t) and to stimulus e(t) are equal at all timelags, i.e., to testThe null hypothesis can also be written:H o : h R [i] =h E [i] i =0 1 2vs. H a : not all h R [i] =h E [i]:H o :8