Challenges and best practices when using ComBAT to harmonize diffusion MRI data.

ABSTRACT: Over the years, ComBAT has become the standard method for harmonizing MRI-derived measurements, with its ability to compensate for site-related additive and multiplicative biases while preserving biological variability. However, ComBAT relies on a set of assumptions that, when violated, can result in flawed harmonization. In this paper, we thoroughly review ComBAT's mathematical foundation, outlining these assumptions, and exploring their implications for the demographic composition necessary for optimal results. Through a series of experiments involving a slightly modified version of ComBAT called Pairwise-ComBAT tailored for normative modeling applications, we assess the impact of various population characteristics, including population size, age distribution, the absence of certain cova

SUBMITTER: Jodoin PM 

PROVIDER: S-EPMC12644733 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature