Estimating the effect of a scanner upgrade on measures of grey matter structure for longitudinal designs

Yet, paired t-tests revealed statistically significant differences in at least 67% of the regions, with percent differences around 2 to 4%, depending on the outcome measure. Offline correction for gradient distortions only slightly reduced these biases. Further, T1-imaging based quality measures reflecting gray-white matter contrast systematically differed between scanners.

We conclude that scanner upgrades during a longitudinal study introduce bias in measures of cortical and subcortical grey matter structure. Therefore, before upgrading a MRI scanner during an ongoing study, researchers should prepare to implement an appropriate correction method for these effects. This dataset contains all the data necessary to reproduce the region-wise analyses in this manuscript. - qa_info.csv (manual quality control results) -mriqc_measures.csv (output from mriqc) - aseg_update.csv (aseg outputs from Skyra ND/Verio ND) - aparc_ct_update.csv (cortical thickness outputs from Skyra ND/Verio ND) - aparc_volume_update.csv (cortical volume outputs from Skyra ND/Verio ND) - aparc_area_update.csv (cortical area outputs from Skyra ND/Verio ND) - vol_unw.csv (aseg outputs from unwarped Skyra ND/Verio ND) - aparc_ct_unw.csv (cortical thickness outputs from unwarped Skyra ND/Verio ND) - aparc_ct_veriond_skyrad.csv (cortical thickness outputs from previous analysis Skyra D/Verio ND)