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I’m working on a multi-site hippocampal subfields project (FSv. 6) and am wondering if it is “better” to normalize subfield volumes by dividing each subfield by whole hippocampal volume, or covary for hippocampal volume as an independent predictor variable in the regression models. Ultimately the goal is to determine the degree that each subfield may be uniquely associated with my target predictor variable, and we would like to know if this effect can be observed independent of potential differences in the whole hippocampus. Traditionally we have covaried for whole hippocampal volume, but I’ve found more interesting effects by normalizing each subfield to their hippocampal volume. Any guidance is appreciated. Thank you! ____________________ Lauren E. Salminen, Ph.D. Imaging Genetics Center Stevens Neuroimaging and Informatics Institute Keck School of Medicine University of Southern California http://igc.ini.usc.edu/ <http://igc.ini.usc.edu/>
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