Spatiotemporal Linear Mixed Effects Modeling for the Mass-univariate Analysis of Longitudinal Neuroimage Data.
J.L.Bernal-Rusiel, M.Reuter, et al.
NeuroImage 81:358-370, 2013.
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We present an extension of the Linear Mixed Effects (LME) modeling approach to be applied to the mass-univariate analysis of longitudinal neuroimaging (LNI) data. The proposed method, called spatiotemporal LME or ST-LME, exploits the spatial structure in image data. We instantiated ST-LME for the analysis of cortical surface measurements (e.g. thickness) computed by FreeSurfer. We validate the proposed ST-LME method and provide a quantitative and objective empirical comparison with alternative methods using (ADNI) and (OASIS) datasets. Our experiments revealed that ST-LME offers a dramatic gain in statistical power and repeatability of findings, while providing good control of the false positive rate. hide |