Cellular correlates of gray matter volume changes in magnetic resonance morphometry identified by two-photon microscopy

Abstract Magnetic resonance imaging (MRI) of the brain combined with voxel-based morphometry (VBM) revealed changes in gray matter volume (GMV) in various disorders. However, the cellular basis of GMV changes has remained largely unclear. We correlated changes in GMV with cellular metrics by imaging...

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Main Authors: Livia Asan, Claudia Falfán-Melgoza, Carlo A. Beretta, Markus Sack, Lei Zheng, Wolfgang Weber-Fahr, Thomas Kuner, Johannes Knabbe
Format: Article
Language:English
Published: Nature Portfolio 2021-02-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-021-83491-8
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author Livia Asan
Claudia Falfán-Melgoza
Carlo A. Beretta
Markus Sack
Lei Zheng
Wolfgang Weber-Fahr
Thomas Kuner
Johannes Knabbe
author_facet Livia Asan
Claudia Falfán-Melgoza
Carlo A. Beretta
Markus Sack
Lei Zheng
Wolfgang Weber-Fahr
Thomas Kuner
Johannes Knabbe
author_sort Livia Asan
collection DOAJ
description Abstract Magnetic resonance imaging (MRI) of the brain combined with voxel-based morphometry (VBM) revealed changes in gray matter volume (GMV) in various disorders. However, the cellular basis of GMV changes has remained largely unclear. We correlated changes in GMV with cellular metrics by imaging mice with MRI and two-photon in vivo microscopy at three time points within 12 weeks, taking advantage of age-dependent changes in brain structure. Imaging fluorescent cell nuclei allowed inferences on (i) physical tissue volume as determined from reference spaces outlined by nuclei, (ii) cell density, (iii) the extent of cell clustering, and (iv) the volume of cell nuclei. Our data indicate that physical tissue volume alterations only account for 13.0% of the variance in GMV change. However, when including comprehensive measurements of nucleus volume and cell density, 35.6% of the GMV variance could be explained, highlighting the influence of distinct cellular mechanisms on VBM results.
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spelling doaj.art-efff63cb8c634002b9771ee8ae1f390e2022-12-21T19:30:58ZengNature PortfolioScientific Reports2045-23222021-02-0111112010.1038/s41598-021-83491-8Cellular correlates of gray matter volume changes in magnetic resonance morphometry identified by two-photon microscopyLivia Asan0Claudia Falfán-Melgoza1Carlo A. Beretta2Markus Sack3Lei Zheng4Wolfgang Weber-Fahr5Thomas Kuner6Johannes Knabbe7Department of Functional Neuroanatomy, Institute for Anatomy and Cell Biology, Heidelberg UniversityTranslational Imaging Research Group, Central Institute of Mental Health, Medical Faculty of Mannheim, Heidelberg UniversityDepartment of Functional Neuroanatomy, Institute for Anatomy and Cell Biology, Heidelberg UniversityTranslational Imaging Research Group, Central Institute of Mental Health, Medical Faculty of Mannheim, Heidelberg UniversityTranslational Imaging Research Group, Central Institute of Mental Health, Medical Faculty of Mannheim, Heidelberg UniversityTranslational Imaging Research Group, Central Institute of Mental Health, Medical Faculty of Mannheim, Heidelberg UniversityDepartment of Functional Neuroanatomy, Institute for Anatomy and Cell Biology, Heidelberg UniversityDepartment of Functional Neuroanatomy, Institute for Anatomy and Cell Biology, Heidelberg UniversityAbstract Magnetic resonance imaging (MRI) of the brain combined with voxel-based morphometry (VBM) revealed changes in gray matter volume (GMV) in various disorders. However, the cellular basis of GMV changes has remained largely unclear. We correlated changes in GMV with cellular metrics by imaging mice with MRI and two-photon in vivo microscopy at three time points within 12 weeks, taking advantage of age-dependent changes in brain structure. Imaging fluorescent cell nuclei allowed inferences on (i) physical tissue volume as determined from reference spaces outlined by nuclei, (ii) cell density, (iii) the extent of cell clustering, and (iv) the volume of cell nuclei. Our data indicate that physical tissue volume alterations only account for 13.0% of the variance in GMV change. However, when including comprehensive measurements of nucleus volume and cell density, 35.6% of the GMV variance could be explained, highlighting the influence of distinct cellular mechanisms on VBM results.https://doi.org/10.1038/s41598-021-83491-8
spellingShingle Livia Asan
Claudia Falfán-Melgoza
Carlo A. Beretta
Markus Sack
Lei Zheng
Wolfgang Weber-Fahr
Thomas Kuner
Johannes Knabbe
Cellular correlates of gray matter volume changes in magnetic resonance morphometry identified by two-photon microscopy
Scientific Reports
title Cellular correlates of gray matter volume changes in magnetic resonance morphometry identified by two-photon microscopy
title_full Cellular correlates of gray matter volume changes in magnetic resonance morphometry identified by two-photon microscopy
title_fullStr Cellular correlates of gray matter volume changes in magnetic resonance morphometry identified by two-photon microscopy
title_full_unstemmed Cellular correlates of gray matter volume changes in magnetic resonance morphometry identified by two-photon microscopy
title_short Cellular correlates of gray matter volume changes in magnetic resonance morphometry identified by two-photon microscopy
title_sort cellular correlates of gray matter volume changes in magnetic resonance morphometry identified by two photon microscopy
url https://doi.org/10.1038/s41598-021-83491-8
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