ComBating inter‐site differences in field strength: harmonizing preclinical traumatic brain injury MRI data

Abstract

Integrating datasets from multiple sites and scanners can increase statistical power for neuroimaging studies but can also introduce significant inter‐site confounds. We evaluated the effectiveness of ComBat, an empirical Bayes approach, to combine longitudinal preclinical MRI data acquired at 4.7 or 9.4 T at two different sites in Australia. Male Sprague Dawley rats underwent MRI on Days 2, 9, 28, and 150 following moderate/severe traumatic brain injury (TBI) or sham injury as part of Project 1 of the NIH/NINDS‐funded Centre Without Walls EpiBioS4Rx project. Diffusion‐weighted and multiple‐gradient‐echo images were acquired, and outcomes included QSM, FA, and ADC. Acute injury measures including apnea and self‐righting reflex were consistent between sites. Mixed‐effect analysis of ipsilateral and contralateral corpus callosum (CC) summary values revealed a significant effect of site on FA and ADC values, which was removed following ComBat harmonization. Bland–Altman plots for each metric showed reduced variability across sites following ComBat harmonization, including for QSM, despite appearing to be largely unaffected by inter‐site differences and no effect of site observed. Following harmonization, the combined inter‐site data revealed significant differences in the imaging metrics consistent with previously reported outcomes. TBI resulted in significantly reduced FA and increased susceptibility in the ipsilateral CC, and significantly reduced FA in the contralateral CC compared with sham‐injured rats. Additionally, TBI rats also exhibited a reversal in ipsilateral CC ADC values over time with significantly reduced ADC at Day 9, followed by increased ADC 150 days after injury. Our findings demonstrate the need for harmonizing multi‐site preclinical MRI data and show that this can be successfully achieved using ComBat while preserving phenotypical changes due to TBI.