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Multiscale Imaging Approach for Studying the Central Nervous System: Methodology and Perspective.

Authors :
Fratini M
Abdollahzadeh A
DiNuzzo M
Salo RA
Maugeri L
Cedola A
Giove F
Gröhn O
Tohka J
Sierra A
Source :
Frontiers in neuroscience [Front Neurosci] 2020 Feb 07; Vol. 14, pp. 72. Date of Electronic Publication: 2020 Feb 07 (Print Publication: 2020).
Publication Year :
2020

Abstract

Non-invasive imaging methods have become essential tools for understanding the central nervous system (CNS) in health and disease. In particular, magnetic resonance imaging (MRI) techniques provide information about the anatomy, microstructure, and function of the brain and spinal cord in vivo non-invasively. However, MRI is limited by its spatial resolution and signal specificity. In order to mitigate these shortcomings, it is crucial to validate MRI with an array of ancillary ex vivo imaging techniques. These techniques include histological methods, such as light and electron microscopy (EM), which can provide specific information on the tissue structure in healthy and diseased brain and spinal cord, at cellular and subcellular level. However, these conventional histological techniques are intrinsically two-dimensional (2D) and, as a result of sectioning, lack volumetric information of the tissue. This limitation can be overcome with genuine three-dimensional (3D) imaging approaches of the tissue. 3D highly resolved information of the CNS achievable by means of other imaging techniques can complement and improve the interpretation of MRI measurements. In this article, we provide an overview of different 3D imaging techniques that can be used to validate MRI. As an example, we introduce an approach of how to combine diffusion MRI and synchrotron X-ray phase contrast tomography (SXRPCT) data. Our approach paves the way for a new multiscale assessment of the CNS allowing to validate and to improve our understanding of in vivo imaging (such as MRI).<br /> (Copyright © 2020 Fratini, Abdollahzadeh, DiNuzzo, Salo, Maugeri, Cedola, Giove, Gröhn, Tohka and Sierra.)

Details

Language :
English
ISSN :
1662-4548
Volume :
14
Database :
MEDLINE
Journal :
Frontiers in neuroscience
Publication Type :
Academic Journal
Accession number :
32116518
Full Text :
https://doi.org/10.3389/fnins.2020.00072