Abstract #3160

Harmonization of multi-site DTI and NODDI data using the combined association test

Yuya Saito¹, Koji Kamagata¹, Norihide Maikusa², Christina Andica¹, Wataru Uchida¹, Hayato Nozaki^1,3, Mana Owaki^1,3, Akifumi Hagiwara¹, Shohei Fujita^1,4, Toshiaki Akashi¹, Akihiko Wada¹, Shinsuke Koike², Masaaki Hori⁵, and Shigeki Aoki¹

¹Department of Radiology, Graduate School of Medicine, Juntendo University, Tokyo, Japan, ²Center for Evolutionary Cognitive Sciences, Graduate School of Art and Sciences, The University of Tokyo, Tokyo, Japan, ³Department of Radiological Sciences, Graduate School of Human Health Sciences, Tokyo Metropolitan University, Tokyo, Japan, ⁴Department of Radiology, University of Tokyo, Tokyo, Japan, ⁵Department of Radiology, Toho University Omori Medical Center, Tokyo, Japan

Synopsis

When analyzing multi-site diffusion MRI (dMRI) data, metrics should be harmonized to remove the site effect. In this study, we applied the combined association test (ComBat), which uses regression of covariates with an empirical Bayes framework, for diffusion metrics based on diffusion tensor imaging (DTI) and neurite orientation dispersion and density imaging (NODDI). The results showed that ComBat can harmonize site-related effects in DTI and NODDI metrics based on multi-site dMRI while preserving subject biological information, such as sex differences and correlation with age. Thus, ComBat could be applied in large multi-site studies to identify subtle white matter changes.

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