Harmonizing Diffusion Imaging Across Scanners

Participants who participated before June 2016 (N = 52, 24 controls, 28 DM1) were scanned using a 3T Siemens TrioTIM scanner. Those who participated after June 2016 (N = 66, 34 controls, 22 DM1) were scanned using a 3T General Electric Discovery MR750w scanner.
Batch effects in diffusion-weighted images associated with scanner versions were normalized using ComBat harmonization (see figure e-1, links.lww.com/NXG/A406).^{32 (link)} Diffusion-weighted images were collected using echo planar recovery magnitude sequences collected in the axial plane with either a single shell (B1000, 64 directions), multishell (B1000 and B2000, 29–30 directions per shell), or both (details provided in table e-1, links.lww.com/NXG/A406).

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van der Plas E., Koscik T.R., Magnotta V., Cumming S.A., Monckton D., Gutmann L, & Nopoulos P. (2021). Neurocognitive Features of Motor Premanifest Individuals With Myotonic Dystrophy Type 1. Neurology: Genetics, 7(2), e577.

Publication 2021

TrioTIM scanner MR750w scanner

Diffusion Echo Electric

Corresponding Organization :

Other organizations : University of Iowa Hospitals and Clinics, University of Glasgow

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Variable analysis

independent variables

Scanner version (3T Siemens TrioTIM scanner vs. 3T General Electric Discovery MR750w scanner)

dependent variables

Diffusion-weighted images

control variables

Participants who participated before June 2016 (N = 52, 24 controls, 28 DM1)
Participants who participated after June 2016 (N = 66, 34 controls, 22 DM1)

controls

Positive control: 24 controls before June 2016
Positive control: 34 controls after June 2016
Negative control: 28 DM1 before June 2016
Negative control: 22 DM1 after June 2016

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