Patel, Yash, Shin, Jean, Drakesmith, Mark ORCID: https://orcid.org/0000-0001-8574-9560, Evans, John ORCID: https://orcid.org/0000-0002-6619-4245, Pausova, Zdenka and Paus, Tomas 2020. Virtual histology of multi-modal magnetic resonance imaging of cerebral cortex in young men. NeuroImage 218 , 116968. 10.1016/j.neuroimage.2020.116968 |
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Abstract
Neurobiology underlying inter-regional variations - across the human cerebral cortex - in measures derived with multi-modal magnetic resonance imaging (MRI) is poorly understood. Here, we characterize inter-regional variations in a large number of such measures, including T1 and T2 relaxation times, myelin water fraction (MWF), T1w/T2w ratio, mean diffusivity (MD), fractional anisotropy (FA), magnetization transfer ratio (MTR) and cortical thickness. We then employ a virtual-histology approach and relate these inter-regional profiles to those in cell-specific gene expression. Virtual histology revealed that most MRI-derived measures, including T1, T2 relaxation time, MWF, T1w/T2w ratio, MTR, FA and cortical thickness, are associated with expression profiles of genes specific to CA1 pyramidal cells; these genes are enriched in biological processes related to dendritic arborisation. In addition, T2 relaxation time, MWF and T1w/T2w ratio are associated with oligodendrocyte-specific gene-expression profiles, supporting their use as measures sensitive to intra-cortical myelin. MWF contributes more variance than T1w/T2w ratio to the mean oligodendrocyte expression profile, suggesting greater sensitivity to myelin. These cell-specific MRI associations may help provide a framework for determining which MRI sequences to acquire in studies with specific neurobiological hypotheses.
Item Type: | Article |
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Date Type: | Publication |
Status: | Published |
Schools: | Psychology Cardiff University Brain Research Imaging Centre (CUBRIC) |
Publisher: | Elsevier |
ISSN: | 1053-8119 |
Date of First Compliant Deposit: | 16 June 2020 |
Date of Acceptance: | 14 May 2020 |
Last Modified: | 05 May 2023 20:04 |
URI: | https://orca.cardiff.ac.uk/id/eprint/132505 |
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