Virtual histology of multi-modal magnetic resonance imaging of cerebral cortex in young men

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,...

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Main Authors: Yash Patel, Jean Shin, Mark Drakesmith, John Evans, Zdenka Pausova, Tomas Paus
Format: Article
Language:English
Published: Elsevier 2020-09-01
Series:NeuroImage
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811920304547
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spelling doaj-112fe516cbdd48da94b5e0fffda09fd22020-11-25T02:54:33ZengElsevierNeuroImage1095-95722020-09-01218116968Virtual histology of multi-modal magnetic resonance imaging of cerebral cortex in young menYash Patel0Jean Shin1Mark Drakesmith2John Evans3Zdenka Pausova4Tomas Paus5Institute of Medical Sciences, University of Toronto, Toronto, ON, Canada; Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, ON, CanadaThe Hospital for Sick Children, Toronto, ON, CanadaCUBRIC, School of Psychology, Cardiff University, Cardiff, UKCUBRIC, School of Psychology, Cardiff University, Cardiff, UKThe Hospital for Sick Children, Toronto, ON, Canada; Departments of Physiology and Nutritional Sciences, University of Toronto, Toronto, ON, CanadaBloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, ON, Canada; Departments of Psychology and Psychiatry, University of Toronto, Toronto, ON, Canada; Corresponding author. Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, ON, Canada.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.http://www.sciencedirect.com/science/article/pii/S1053811920304547Magnetic resonance imagingMyelin water fractionRelaxometryCerebral cortexmcDESPOT imagingDiffusion tensor imaging
collection DOAJ
language English
format Article
sources DOAJ
author Yash Patel
Jean Shin
Mark Drakesmith
John Evans
Zdenka Pausova
Tomas Paus
spellingShingle Yash Patel
Jean Shin
Mark Drakesmith
John Evans
Zdenka Pausova
Tomas Paus
Virtual histology of multi-modal magnetic resonance imaging of cerebral cortex in young men
NeuroImage
Magnetic resonance imaging
Myelin water fraction
Relaxometry
Cerebral cortex
mcDESPOT imaging
Diffusion tensor imaging
author_facet Yash Patel
Jean Shin
Mark Drakesmith
John Evans
Zdenka Pausova
Tomas Paus
author_sort Yash Patel
title Virtual histology of multi-modal magnetic resonance imaging of cerebral cortex in young men
title_short Virtual histology of multi-modal magnetic resonance imaging of cerebral cortex in young men
title_full Virtual histology of multi-modal magnetic resonance imaging of cerebral cortex in young men
title_fullStr Virtual histology of multi-modal magnetic resonance imaging of cerebral cortex in young men
title_full_unstemmed Virtual histology of multi-modal magnetic resonance imaging of cerebral cortex in young men
title_sort virtual histology of multi-modal magnetic resonance imaging of cerebral cortex in young men
publisher Elsevier
series NeuroImage
issn 1095-9572
publishDate 2020-09-01
description 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.
topic Magnetic resonance imaging
Myelin water fraction
Relaxometry
Cerebral cortex
mcDESPOT imaging
Diffusion tensor imaging
url http://www.sciencedirect.com/science/article/pii/S1053811920304547
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