TY - JOUR
T1 - Longitudinal Structural MRI in Neurologically Healthy Adults
AU - Gregory, Sarah
AU - Lohse, Keith R.
AU - Johnson, Eileanoir B.
AU - Leavitt, Blair R.
AU - Durr, Alexandra
AU - Roos, Raymund A.C.
AU - Rees, Geraint
AU - Tabrizi, Sarah J.
AU - Scahill, Rachael I.
AU - Orth, Michael
N1 - Funding Information:
This work was funded by the CHDI Foundation and the Wellcome Trust (G.R.). S.J.T. is partly supported by the UK Dementia Research Institute that receives its funding from DRI Ltd., funded by the UK Medical Research Council, Alzheimer's Society, and Alzheimer's Research UK. Some of this work was also undertaken at UCLH/UCL, who acknowledge support from the Department of Health's NIHR Biomedical Research Centre.
Funding Information:
K.L. is supported by the Canadian Institutes of Health Research (PTJ 153330) and the Auburn University Internal Grants Program (170138). S.G., R.S., G.R., and S.T. receive support from a Wellcome Trust Collaborative Award (200181/Z/15/Z). All authors declare that they have no conflicts of interest.
Publisher Copyright:
© 2020 The Authors. Journal of Magnetic Resonance Imaging published by Wiley Periodicals LLC on behalf of International Society for Magnetic Resonance in Medicine
PY - 2020/11
Y1 - 2020/11
N2 - Background: Structural brain MRI measures are frequently examined in both healthy and clinical groups, so an understanding of how these measures vary over time is desirable. Purpose: To test the stability of structural brain MRI measures over time. Population: In all, 112 healthy volunteers across four sites. Study Type: Retrospective analysis of prospectively acquired data. Field Strength/Sequence: 3 T, magnetization prepared – rapid gradient echo, and single-shell diffusion sequence. Assessment: Diffusion, cortical thickness, and volume data from the sensorimotor network were assessed for stability over time across 3 years. Two sites used a Siemens MRI scanner, two sites a Philips scanner. Statistical Tests: The stability of structural measures across timepoints was assessed using intraclass correlation coefficients (ICC) for absolute agreement, cutoff ≥0.80, indicating high reliability. Mixed-factorial analysis of variance (ANOVA) was used to examine between-site and between-scanner type differences in individuals over time. Results: All cortical thickness and gray matter volume measures in the sensorimotor network, plus all diffusivity measures (fractional anisotropy plus mean, axial and radial diffusivities) for primary and premotor cortices, primary somatosensory thalamic connections, and the cortico-spinal tract met ICC. The majority of measures differed significantly between scanners, with a trend for sites using Siemens scanners to produce larger values for connectivity, cortical thickness, and volume measures than sites using Philips scanners. Data Conclusion: Levels of reliability over time for all tested structural MRI measures were generally high, indicating that any differences between measurements over time likely reflect underlying biological differences rather than inherent methodological variability. Level of Evidence: 4. Technical Efficacy Stage: 1.
AB - Background: Structural brain MRI measures are frequently examined in both healthy and clinical groups, so an understanding of how these measures vary over time is desirable. Purpose: To test the stability of structural brain MRI measures over time. Population: In all, 112 healthy volunteers across four sites. Study Type: Retrospective analysis of prospectively acquired data. Field Strength/Sequence: 3 T, magnetization prepared – rapid gradient echo, and single-shell diffusion sequence. Assessment: Diffusion, cortical thickness, and volume data from the sensorimotor network were assessed for stability over time across 3 years. Two sites used a Siemens MRI scanner, two sites a Philips scanner. Statistical Tests: The stability of structural measures across timepoints was assessed using intraclass correlation coefficients (ICC) for absolute agreement, cutoff ≥0.80, indicating high reliability. Mixed-factorial analysis of variance (ANOVA) was used to examine between-site and between-scanner type differences in individuals over time. Results: All cortical thickness and gray matter volume measures in the sensorimotor network, plus all diffusivity measures (fractional anisotropy plus mean, axial and radial diffusivities) for primary and premotor cortices, primary somatosensory thalamic connections, and the cortico-spinal tract met ICC. The majority of measures differed significantly between scanners, with a trend for sites using Siemens scanners to produce larger values for connectivity, cortical thickness, and volume measures than sites using Philips scanners. Data Conclusion: Levels of reliability over time for all tested structural MRI measures were generally high, indicating that any differences between measurements over time likely reflect underlying biological differences rather than inherent methodological variability. Level of Evidence: 4. Technical Efficacy Stage: 1.
KW - cortical thickness
KW - cortical volume
KW - diffusion
KW - reliability
KW - statistical power
UR - http://www.scopus.com/inward/record.url?scp=85085579106&partnerID=8YFLogxK
U2 - 10.1002/jmri.27203
DO - 10.1002/jmri.27203
M3 - Article
C2 - 32469154
AN - SCOPUS:85085579106
SN - 1053-1807
VL - 52
SP - 1385
EP - 1399
JO - Journal of Magnetic Resonance Imaging
JF - Journal of Magnetic Resonance Imaging
IS - 5
ER -