Japanese Journal of Magnetic Resonance in Medicine
Online ISSN : 2434-0499
Print ISSN : 0914-9457

This article has now been updated. Please use the final version.

Harmonization of Multi-Site DTI and NODDI Data Using the Combined Association Test [Proceedings of the 2022 Young Investigator Award]
Yuya SAITOKoji KAMAGATANorihide MAIKUSAChristina ANDICAWataru UCHIDAHayato NOZAKIMana OWAKIAkifumi HAGIWARAShohei FUJITAToshiaki AKASHIAkihiko WADAShinsuke KOIKEMasaaki HORIShigeki AOKI
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JOURNAL OPEN ACCESS Advance online publication

Article ID: 2023-1791

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Abstract

 When analyzing the 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 used the regression of covariates with an empirical Bayes framework for diffusion metrics based on diffusion tensor imaging (DTI), neurite orientation dispersion, and density imaging (NODDI). The results showed that the ComBat could harmonize the site-related effects in DTI and NODDI metrics based on multi-site dMRI while preserving the biological information of the participant, such as sex differences and correlation with age. Thus, the ComBat could be applied in large multi-site studies to identify subtle white matter changes.

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© 2023 Japanese Society for Magnetic Resonance in Medicine

この記事はクリエイティブ・コモンズ [表示 - 非営利 - 改変禁止 4.0 国際]ライセンスの下に提供されています。
https://creativecommons.org/licenses/by-nc-nd/4.0/deed.ja
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