Cargando…
Post-mortem inference of the human hippocampal connectivity and microstructure using ultra-high field diffusion MRI at 11.7 T
The human hippocampus plays a key role in memory management and is one of the first structures affected by Alzheimer’s disease. Ultra-high magnetic resonance imaging provides access to its inner structure in vivo. However, gradient limitations on clinical systems hinder access to its inner connectiv...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5968081/ https://www.ncbi.nlm.nih.gov/pubmed/29387938 http://dx.doi.org/10.1007/s00429-018-1617-1 |
_version_ | 1783325699019374592 |
---|---|
author | Beaujoin, Justine Palomero-Gallagher, Nicola Boumezbeur, Fawzi Axer, Markus Bernard, Jeremy Poupon, Fabrice Schmitz, Daniel Mangin, Jean-François Poupon, Cyril |
author_facet | Beaujoin, Justine Palomero-Gallagher, Nicola Boumezbeur, Fawzi Axer, Markus Bernard, Jeremy Poupon, Fabrice Schmitz, Daniel Mangin, Jean-François Poupon, Cyril |
author_sort | Beaujoin, Justine |
collection | PubMed |
description | The human hippocampus plays a key role in memory management and is one of the first structures affected by Alzheimer’s disease. Ultra-high magnetic resonance imaging provides access to its inner structure in vivo. However, gradient limitations on clinical systems hinder access to its inner connectivity and microstructure. A major target of this paper is the demonstration of diffusion MRI potential, using ultra-high field (11.7 T) and strong gradients (750 mT/m), to reveal the extra- and intra-hippocampal connectivity in addition to its microstructure. To this purpose, a multiple-shell diffusion-weighted acquisition protocol was developed to reach an ultra-high spatio-angular resolution with a good signal-to-noise ratio. The MRI data set was analyzed using analytical Q-Ball Imaging, Diffusion Tensor Imaging (DTI), and Neurite Orientation Dispersion and Density Imaging models. High Angular Resolution Diffusion Imaging estimates allowed us to obtain an accurate tractography resolving more complex fiber architecture than DTI models, and subsequently provided a map of the cross-regional connectivity. The neurite density was akin to that found in the histological literature, revealing the three hippocampal layers. Moreover, a gradient of connectivity and neurite density was observed between the anterior and the posterior part of the hippocampus. These results demonstrate that ex vivo ultra-high field/ultra-high gradients diffusion-weighted MRI allows the mapping of the inner connectivity of the human hippocampus, its microstructure, and to accurately reconstruct elements of the polysynaptic intra-hippocampal pathway using fiber tractography techniques at very high spatial/angular resolutions. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00429-018-1617-1) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5968081 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-59680812018-06-04 Post-mortem inference of the human hippocampal connectivity and microstructure using ultra-high field diffusion MRI at 11.7 T Beaujoin, Justine Palomero-Gallagher, Nicola Boumezbeur, Fawzi Axer, Markus Bernard, Jeremy Poupon, Fabrice Schmitz, Daniel Mangin, Jean-François Poupon, Cyril Brain Struct Funct Original Article The human hippocampus plays a key role in memory management and is one of the first structures affected by Alzheimer’s disease. Ultra-high magnetic resonance imaging provides access to its inner structure in vivo. However, gradient limitations on clinical systems hinder access to its inner connectivity and microstructure. A major target of this paper is the demonstration of diffusion MRI potential, using ultra-high field (11.7 T) and strong gradients (750 mT/m), to reveal the extra- and intra-hippocampal connectivity in addition to its microstructure. To this purpose, a multiple-shell diffusion-weighted acquisition protocol was developed to reach an ultra-high spatio-angular resolution with a good signal-to-noise ratio. The MRI data set was analyzed using analytical Q-Ball Imaging, Diffusion Tensor Imaging (DTI), and Neurite Orientation Dispersion and Density Imaging models. High Angular Resolution Diffusion Imaging estimates allowed us to obtain an accurate tractography resolving more complex fiber architecture than DTI models, and subsequently provided a map of the cross-regional connectivity. The neurite density was akin to that found in the histological literature, revealing the three hippocampal layers. Moreover, a gradient of connectivity and neurite density was observed between the anterior and the posterior part of the hippocampus. These results demonstrate that ex vivo ultra-high field/ultra-high gradients diffusion-weighted MRI allows the mapping of the inner connectivity of the human hippocampus, its microstructure, and to accurately reconstruct elements of the polysynaptic intra-hippocampal pathway using fiber tractography techniques at very high spatial/angular resolutions. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00429-018-1617-1) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2018-01-31 2018 /pmc/articles/PMC5968081/ /pubmed/29387938 http://dx.doi.org/10.1007/s00429-018-1617-1 Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Original Article Beaujoin, Justine Palomero-Gallagher, Nicola Boumezbeur, Fawzi Axer, Markus Bernard, Jeremy Poupon, Fabrice Schmitz, Daniel Mangin, Jean-François Poupon, Cyril Post-mortem inference of the human hippocampal connectivity and microstructure using ultra-high field diffusion MRI at 11.7 T |
title | Post-mortem inference of the human hippocampal connectivity and microstructure using ultra-high field diffusion MRI at 11.7 T |
title_full | Post-mortem inference of the human hippocampal connectivity and microstructure using ultra-high field diffusion MRI at 11.7 T |
title_fullStr | Post-mortem inference of the human hippocampal connectivity and microstructure using ultra-high field diffusion MRI at 11.7 T |
title_full_unstemmed | Post-mortem inference of the human hippocampal connectivity and microstructure using ultra-high field diffusion MRI at 11.7 T |
title_short | Post-mortem inference of the human hippocampal connectivity and microstructure using ultra-high field diffusion MRI at 11.7 T |
title_sort | post-mortem inference of the human hippocampal connectivity and microstructure using ultra-high field diffusion mri at 11.7 t |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5968081/ https://www.ncbi.nlm.nih.gov/pubmed/29387938 http://dx.doi.org/10.1007/s00429-018-1617-1 |
work_keys_str_mv | AT beaujoinjustine postmorteminferenceofthehumanhippocampalconnectivityandmicrostructureusingultrahighfielddiffusionmriat117t AT palomerogallaghernicola postmorteminferenceofthehumanhippocampalconnectivityandmicrostructureusingultrahighfielddiffusionmriat117t AT boumezbeurfawzi postmorteminferenceofthehumanhippocampalconnectivityandmicrostructureusingultrahighfielddiffusionmriat117t AT axermarkus postmorteminferenceofthehumanhippocampalconnectivityandmicrostructureusingultrahighfielddiffusionmriat117t AT bernardjeremy postmorteminferenceofthehumanhippocampalconnectivityandmicrostructureusingultrahighfielddiffusionmriat117t AT pouponfabrice postmorteminferenceofthehumanhippocampalconnectivityandmicrostructureusingultrahighfielddiffusionmriat117t AT schmitzdaniel postmorteminferenceofthehumanhippocampalconnectivityandmicrostructureusingultrahighfielddiffusionmriat117t AT manginjeanfrancois postmorteminferenceofthehumanhippocampalconnectivityandmicrostructureusingultrahighfielddiffusionmriat117t AT pouponcyril postmorteminferenceofthehumanhippocampalconnectivityandmicrostructureusingultrahighfielddiffusionmriat117t |