Longitudinal Structural MRI in Neurologically Healthy Adults
In: ISSN: 1053-1807, 2020
Online
academicJournal
Zugriff:
International audience ; 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.
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Longitudinal Structural MRI in Neurologically Healthy Adults
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Autor/in / Beteiligte Person: | Gregory, Sarah ; Lohse, Keith, R ; Johnson, Eileanoir, B ; Leavitt, Blair, R ; Durr, Alexandra ; Roos, Raymund A.C. ; Rees, Geraint ; Tabrizi, Sarah, J ; Scahill, Rachael, I ; Orth, Michael ; University College of London London (UCL) ; University of Utah ; University of British Columbia (UBC) ; CHU Pitié-Salpêtrière AP-HP ; Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU) ; Institut du Cerveau = Paris Brain Institute (ICM) ; Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière AP-HP ; Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS) ; Leiden University Medical Center (LUMC) ; Universiteit Leiden = Leiden University ; Universitätsklinikum Ulm - University Hospital of Ulm |
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Zeitschrift: | ISSN: 1053-1807, 2020 |
Veröffentlichung: | HAL CCSD ; Wiley-Blackwell, 2020 |
Medientyp: | academicJournal |
DOI: | 10.1002/jmri.27203 |
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