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. Author manuscript; available in PMC: 2020 Nov 2.
Published in final edited form as: Neuroimage. 2020 Jul 5;220:117129. doi: 10.1016/j.neuroimage.2020.117129

Fig. 5.

Fig. 5.

Comparison of data harmonization methods for the ADNI cortical thickness dataset. (A) Estimated coefficients and – log10p-values for the AD × time coefficients. Plots show results for each harmonization method, with and without scanner included as a fixed effect covariate in the final models. Features are sorted by coefficient magnitude for longitudinal ComBat (REML method) with no scanner covariate in the final model. (B) Estimates obtained from data harmonized using longitudinal ComBat (REML method, no scanner in final model) are displayed on the inflated cortical surface. AD: Alzheimer’s disease.