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Vascular mapping of the human hippocampus using Ferumoxytol-enhanced MRI
The hippocampus is a small but complex grey matter structure that plays an important role in spatial and episodic memory and can be affected by a wide range of pathologies including vascular abnormalities. In this work, we introduce the use of Ferumoxytol, an ultra-small superparamagnetic iron oxide...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9484293/ https://www.ncbi.nlm.nih.gov/pubmed/35122968 http://dx.doi.org/10.1016/j.neuroimage.2022.118957 |
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author | Buch, Sagar Chen, Yongsheng Jella, Pavan Ge, Yulin Haacke, E. Mark |
author_facet | Buch, Sagar Chen, Yongsheng Jella, Pavan Ge, Yulin Haacke, E. Mark |
author_sort | Buch, Sagar |
collection | PubMed |
description | The hippocampus is a small but complex grey matter structure that plays an important role in spatial and episodic memory and can be affected by a wide range of pathologies including vascular abnormalities. In this work, we introduce the use of Ferumoxytol, an ultra-small superparamagnetic iron oxide (USPIO) agent, to induce susceptibility in the arteries (as well as increase the susceptibility in the veins) to map the hippocampal micro-vasculature and to evaluate the quantitative change in tissue fractional vascular density (FVD), in each of its subfields. A total of 39 healthy subjects (aged 35.4 ± 14.2 years, from 18 to 81 years old) were scanned with a high-resolution (0.22×0.44×1 mm(3)) dual-echo SWI sequence acquired at four time points during a gradual increase in Ferumoxytol dose (final dose = 4 mg/kg). The volumes of each subfield were obtained automatically from the pre-contrast T(1) -weighted data. The dynamically acquired SWI data were co-registered and adaptively combined to reduce the blooming artifacts from large vessels, preserving the contrast from smaller vessels. The resultant SWI data were used to segment the hippocampal vasculature and to measure the FVD ((volume occupied by vessels)/(total volume)) for each subfield. The hippocampal fissure, along with the fimbria, granular cell layer of the dentate gyrus and cornu ammonis layers (except for CA1), showed higher micro-vascular FVD than the other parts of hippocampus. The CA1 region exhibited a significant correlation with age (R = −0.37, p < 0.05). demonstrating an overall loss of hippocampal vascularity in the normal aging process. Moreover, the vascular density reduction was more prominent than the age correlation with the volume reduction (R = −0.1, p > 0.05) of the CA1 subfield, which would suggest that vascular degeneration may precede tissue atrophy. |
format | Online Article Text |
id | pubmed-9484293 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
record_format | MEDLINE/PubMed |
spelling | pubmed-94842932022-09-19 Vascular mapping of the human hippocampus using Ferumoxytol-enhanced MRI Buch, Sagar Chen, Yongsheng Jella, Pavan Ge, Yulin Haacke, E. Mark Neuroimage Article The hippocampus is a small but complex grey matter structure that plays an important role in spatial and episodic memory and can be affected by a wide range of pathologies including vascular abnormalities. In this work, we introduce the use of Ferumoxytol, an ultra-small superparamagnetic iron oxide (USPIO) agent, to induce susceptibility in the arteries (as well as increase the susceptibility in the veins) to map the hippocampal micro-vasculature and to evaluate the quantitative change in tissue fractional vascular density (FVD), in each of its subfields. A total of 39 healthy subjects (aged 35.4 ± 14.2 years, from 18 to 81 years old) were scanned with a high-resolution (0.22×0.44×1 mm(3)) dual-echo SWI sequence acquired at four time points during a gradual increase in Ferumoxytol dose (final dose = 4 mg/kg). The volumes of each subfield were obtained automatically from the pre-contrast T(1) -weighted data. The dynamically acquired SWI data were co-registered and adaptively combined to reduce the blooming artifacts from large vessels, preserving the contrast from smaller vessels. The resultant SWI data were used to segment the hippocampal vasculature and to measure the FVD ((volume occupied by vessels)/(total volume)) for each subfield. The hippocampal fissure, along with the fimbria, granular cell layer of the dentate gyrus and cornu ammonis layers (except for CA1), showed higher micro-vascular FVD than the other parts of hippocampus. The CA1 region exhibited a significant correlation with age (R = −0.37, p < 0.05). demonstrating an overall loss of hippocampal vascularity in the normal aging process. Moreover, the vascular density reduction was more prominent than the age correlation with the volume reduction (R = −0.1, p > 0.05) of the CA1 subfield, which would suggest that vascular degeneration may precede tissue atrophy. 2022-04-15 2022-02-02 /pmc/articles/PMC9484293/ /pubmed/35122968 http://dx.doi.org/10.1016/j.neuroimage.2022.118957 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) ) |
spellingShingle | Article Buch, Sagar Chen, Yongsheng Jella, Pavan Ge, Yulin Haacke, E. Mark Vascular mapping of the human hippocampus using Ferumoxytol-enhanced MRI |
title | Vascular mapping of the human hippocampus using Ferumoxytol-enhanced MRI |
title_full | Vascular mapping of the human hippocampus using Ferumoxytol-enhanced MRI |
title_fullStr | Vascular mapping of the human hippocampus using Ferumoxytol-enhanced MRI |
title_full_unstemmed | Vascular mapping of the human hippocampus using Ferumoxytol-enhanced MRI |
title_short | Vascular mapping of the human hippocampus using Ferumoxytol-enhanced MRI |
title_sort | vascular mapping of the human hippocampus using ferumoxytol-enhanced mri |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9484293/ https://www.ncbi.nlm.nih.gov/pubmed/35122968 http://dx.doi.org/10.1016/j.neuroimage.2022.118957 |
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