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. Author manuscript; available in PMC: 2015 Jan 1.
Published in final edited form as: Neuroimage. 2013 Sep 25;84:10.1016/j.neuroimage.2013.09.020. doi: 10.1016/j.neuroimage.2013.09.020

Fig. 1.

Fig. 1

A schematic overview of FMEM: a functional mixed effects model (c) for the repeatedly measured diffusion properties along a tract (a)-(b), a two-stage local linear regression method for estimating the coefficient functions (d), local constant estimators for covariance matrices adjusted by using a functional principal component analysis method (e), a hypothesis test for coefficient functions using global test statistics along with a resampling method for approximating the p-value of the global test statistics (f), and a method for constructing the confidence bands for the coefficient functions based on a resampling method (g).