High-resolution MEMRI characterizes laminar specific ascending and descending spinal cord pathways in rats.
Manganese enhanced magnetic resonance imaging
Motor neurons
Non-Invasive
Spinal cord
Journal
Journal of neuroscience methods
ISSN: 1872-678X
Titre abrégé: J Neurosci Methods
Pays: Netherlands
ID NLM: 7905558
Informations de publication
Date de publication:
01 07 2020
01 07 2020
Historique:
received:
06
01
2020
revised:
19
04
2020
accepted:
19
04
2020
pubmed:
27
4
2020
medline:
22
6
2021
entrez:
27
4
2020
Statut:
ppublish
Résumé
The spinal cord is composed of nine distinct cellular laminae that currently can only be visualized by histological methods. Developing imaging methods that can visualize laminar architecture in-vivo is of significant interest. Manganese enhanced magnetic resonance imaging (MEMRI) yields valuable architectural and functional information about the brain and has great potential in characterizing neural pathways in the spinal cord. Here we apply MEMRI to visualize laminae architecture in the thoracic region of the spinal cord with ultra-high resolution. Manganese chloride (MnCl Here we demonstrate laminar specific signal enhancement in the spinal cord of rats administered with MnCl This is the first study to demonstrate that MEMRI is capable of identifying spinal laminae at a high resolution of 69 μm in a living animal. This would enable the visualization of architecture and function of distinct regions with improved resolution, in healthy and diseased animal models. The regions with the largest T1 enhancements were observed to correspond to laminae that contain either high cell density or large motor neurons, making MEMRI an excellent tool for studying spinal cord architecture, physiology and function in different animal models.
Sections du résumé
BACKGROUND
The spinal cord is composed of nine distinct cellular laminae that currently can only be visualized by histological methods. Developing imaging methods that can visualize laminar architecture in-vivo is of significant interest. Manganese enhanced magnetic resonance imaging (MEMRI) yields valuable architectural and functional information about the brain and has great potential in characterizing neural pathways in the spinal cord. Here we apply MEMRI to visualize laminae architecture in the thoracic region of the spinal cord with ultra-high resolution.
NEW METHOD
Manganese chloride (MnCl
RESULTS
Here we demonstrate laminar specific signal enhancement in the spinal cord of rats administered with MnCl
COMPARISONS WITH EXISTING METHODS
This is the first study to demonstrate that MEMRI is capable of identifying spinal laminae at a high resolution of 69 μm in a living animal. This would enable the visualization of architecture and function of distinct regions with improved resolution, in healthy and diseased animal models.
CONCLUSIONS
The regions with the largest T1 enhancements were observed to correspond to laminae that contain either high cell density or large motor neurons, making MEMRI an excellent tool for studying spinal cord architecture, physiology and function in different animal models.
Identifiants
pubmed: 32335077
pii: S0165-0270(20)30171-0
doi: 10.1016/j.jneumeth.2020.108748
pmc: PMC7281828
mid: NIHMS1590970
pii:
doi:
Substances chimiques
Manganese
42Z2K6ZL8P
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, N.I.H., Intramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
108748Subventions
Organisme : NINDS NIH HHS
ID : R01 NS072171
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS098231
Pays : United States
Informations de copyright
Copyright © 2020 Elsevier B.V. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of Competing Interest There is no conflict of interest for any of the authors.
Références
J Comp Neurol. 1954 Apr;100(2):297-379
pubmed: 13163236
Physiol Rev. 2012 Jan;92(1):193-235
pubmed: 22298656
Magn Reson Med. 2000 Mar;43(3):383-92
pubmed: 10725881
Lancet. 1980 Apr 26;1(8174):919-22
pubmed: 6103267
Neuroimage. 2004 Jul;22(3):1046-59
pubmed: 15219577
J Neuroimaging. 2015 Jul-Aug;25(4):582-9
pubmed: 25510176
Magn Reson Med. 2006 May;55(5):1124-31
pubmed: 16602070
J Magn Reson Imaging. 2007 Oct;26(4):863-70
pubmed: 17896372
Neurosci Res. 2019 Dec;149:14-21
pubmed: 30685495
Neuroscience. 2002;112(2):467-74
pubmed: 12044464
Neuroimage. 2006 Sep;32(3):1265-72
pubmed: 16859928
Invest Radiol. 2008 May;43(5):277-83
pubmed: 18424947
BMC Med Imaging. 2006 Nov 17;6:15
pubmed: 17112375
NMR Biomed. 2004 Dec;17(8):613-9
pubmed: 15761950
Ann Neurol. 1996 Sep;40(3):379-86
pubmed: 8797527
Eur J Neurosci. 2007 Oct;26(7):1721-37
pubmed: 17897390
Front Neural Circuits. 2019 Jan 07;12:114
pubmed: 30666190
J Neurosci Methods. 2008 Jan 30;167(2):246-57
pubmed: 17936913
Neuroimage. 2009 Feb 1;44(3):923-31
pubmed: 18755280
Magn Reson Med. 1997 Sep;38(3):378-88
pubmed: 9339438
Cereb Cortex. 2007 Jan;17(1):28-36
pubmed: 16452644
Front Neurosci. 2019 Apr 24;13:387
pubmed: 31068784
Magn Reson Imaging. 2006 May;24(4):349-58
pubmed: 16677940
Neurosurgery. 2010 Jan;66(1):131-6
pubmed: 20023543
Exp Neurol. 1997 Jul;146(1):17-24
pubmed: 9225734
Eur J Neurosci. 1995 May 1;7(5):831-40
pubmed: 7613620
Nat Neurosci. 2005 Jul;8(7):961-8
pubmed: 15924136
Magn Reson Med. 2007 Aug;58(2):253-60
pubmed: 17654597