Dear SPM experts, <div><br></div><div>For the 1st level GLM, I&#39;ve been modeling each run separately as opposed to concatenating all the runs. </div><div>Obviously I get more beta values that are generated by each run. However, when I create the contrast images (condition A vs. condition B), I then combine betas corresponding to the same condition across the entire runs.</div>
<div><br></div><div>I&#39;ve been assuming that this fixed analysis would be just as simple as an independent t-test for comparing betas in two different conditions without any other complicate procedures such as giving a greater weight to the higher beta value (I heard that this is the way how FSL does). </div>
<div><br></div><div>If anybody knows how this works out, please help me. </div><div><br></div><div>thanks in advance, </div><div>Glen</div><div><br></div><div><br></div><div> </div><div><br></div><div><br></div><div><br></div>
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