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Cell specificity of Manganese-enhanced MRI signal in the cerebellum

Authors :
Harikrishna Rallapalli
N. Sumru Bayin
Hannah Goldman
Dragan Maric
Brian J. Nieman
Alan P. Koretsky
Alexandra L. Joyner
Daniel H. Turnbull
Source :
NeuroImage, Vol 276, Iss , Pp 120198- (2023)
Publication Year :
2023
Publisher :
Elsevier, 2023.

Abstract

Magnetic Resonance Imaging (MRI) resolution continues to improve, making it important to understand the cellular basis for different MRI contrast mechanisms. Manganese-enhanced MRI (MEMRI) produces layer-specific contrast throughout the brain enabling in vivo visualization of cellular cytoarchitecture, particularly in the cerebellum. Due to the unique geometry of the cerebellum, especially near the midline, 2D MEMRI images can be acquired from a relatively thick slice by averaging through areas of uniform morphology and cytoarchitecture to produce very high-resolution visualization of sagittal planes. In such images, MEMRI hyperintensity is uniform in thickness throughout the anterior-posterior axis of sagittal sections and is centrally located in the cerebellar cortex. These signal features suggested that the Purkinje cell layer, which houses the cell bodies of the Purkinje cells and the Bergmann glia, is the source of hyperintensity. Despite this circumstantial evidence, the cellular source of MRI contrast has been difficult to define. In this study, we quantified the effects of selective ablation of Purkinje cells or Bergmann glia on cerebellar MEMRI signal to determine whether signal could be assigned to one cell type. We found that the Purkinje cells, not the Bergmann glia, are the primary of source of the enhancement in the Purkinje cell layer. This cell-ablation strategy should be useful for determining the cell specificity of other MRI contrast mechanisms.

Details

Language :
English
ISSN :
10959572
Volume :
276
Issue :
120198-
Database :
Directory of Open Access Journals
Journal :
NeuroImage
Publication Type :
Academic Journal
Accession number :
edsdoj.f5291e0394464c1ea3b1b8d620ae031f
Document Type :
article
Full Text :
https://doi.org/10.1016/j.neuroimage.2023.120198