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Mapping tissue microstructure across the human brain on a clinical scanner with soma and neurite density image metrics

Soma and neurite density image (SANDI) is an advanced diffusion magnetic resonance imaging biophysical signal model devised to probe in vivo microstructural information in the gray matter (GM). This model requires acquisitions that include b values that are at least six times higher than those used...

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Autores principales: Schiavi, Simona, Palombo, Marco, Zacà, Domenico, Tazza, Francesco, Lapucci, Caterina, Castellan, Lucio, Costagli, Mauro, Inglese, Matilde
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10400787/
https://www.ncbi.nlm.nih.gov/pubmed/37461286
http://dx.doi.org/10.1002/hbm.26416
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author Schiavi, Simona
Palombo, Marco
Zacà, Domenico
Tazza, Francesco
Lapucci, Caterina
Castellan, Lucio
Costagli, Mauro
Inglese, Matilde
author_facet Schiavi, Simona
Palombo, Marco
Zacà, Domenico
Tazza, Francesco
Lapucci, Caterina
Castellan, Lucio
Costagli, Mauro
Inglese, Matilde
author_sort Schiavi, Simona
collection PubMed
description Soma and neurite density image (SANDI) is an advanced diffusion magnetic resonance imaging biophysical signal model devised to probe in vivo microstructural information in the gray matter (GM). This model requires acquisitions that include b values that are at least six times higher than those used in clinical practice. Such high b values are required to disentangle the signal contribution of water diffusing in soma from that diffusing in neurites and extracellular space, while keeping the diffusion time as short as possible to minimize potential bias due to water exchange. These requirements have limited the use of SANDI only to preclinical or cutting‐edge human scanners. Here, we investigate the potential impact of neglecting water exchange in the SANDI model and present a 10‐min acquisition protocol that enables to characterize both GM and white matter (WM) on 3 T scanners. We implemented analytical simulations to (i) evaluate the stability of the fitting of SANDI parameters when diminishing the number of shells; (ii) estimate the bias due to potential exchange between neurites and extracellular space in such reduced acquisition scheme, comparing it with the bias due to experimental noise. Then, we demonstrated the feasibility and assessed the repeatability and reproducibility of our approach by computing microstructural metrics of SANDI with AMICO toolbox and other state‐of‐the‐art models on five healthy subjects. Finally, we applied our protocol to five multiple sclerosis patients. Results suggest that SANDI is a practical method to characterize WM and GM tissues in vivo on performant clinical scanners.
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spelling pubmed-104007872023-08-05 Mapping tissue microstructure across the human brain on a clinical scanner with soma and neurite density image metrics Schiavi, Simona Palombo, Marco Zacà, Domenico Tazza, Francesco Lapucci, Caterina Castellan, Lucio Costagli, Mauro Inglese, Matilde Hum Brain Mapp Research Articles Soma and neurite density image (SANDI) is an advanced diffusion magnetic resonance imaging biophysical signal model devised to probe in vivo microstructural information in the gray matter (GM). This model requires acquisitions that include b values that are at least six times higher than those used in clinical practice. Such high b values are required to disentangle the signal contribution of water diffusing in soma from that diffusing in neurites and extracellular space, while keeping the diffusion time as short as possible to minimize potential bias due to water exchange. These requirements have limited the use of SANDI only to preclinical or cutting‐edge human scanners. Here, we investigate the potential impact of neglecting water exchange in the SANDI model and present a 10‐min acquisition protocol that enables to characterize both GM and white matter (WM) on 3 T scanners. We implemented analytical simulations to (i) evaluate the stability of the fitting of SANDI parameters when diminishing the number of shells; (ii) estimate the bias due to potential exchange between neurites and extracellular space in such reduced acquisition scheme, comparing it with the bias due to experimental noise. Then, we demonstrated the feasibility and assessed the repeatability and reproducibility of our approach by computing microstructural metrics of SANDI with AMICO toolbox and other state‐of‐the‐art models on five healthy subjects. Finally, we applied our protocol to five multiple sclerosis patients. Results suggest that SANDI is a practical method to characterize WM and GM tissues in vivo on performant clinical scanners. John Wiley & Sons, Inc. 2023-07-17 /pmc/articles/PMC10400787/ /pubmed/37461286 http://dx.doi.org/10.1002/hbm.26416 Text en © 2023 The Authors. Human Brain Mapping published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Research Articles
Schiavi, Simona
Palombo, Marco
Zacà, Domenico
Tazza, Francesco
Lapucci, Caterina
Castellan, Lucio
Costagli, Mauro
Inglese, Matilde
Mapping tissue microstructure across the human brain on a clinical scanner with soma and neurite density image metrics
title Mapping tissue microstructure across the human brain on a clinical scanner with soma and neurite density image metrics
title_full Mapping tissue microstructure across the human brain on a clinical scanner with soma and neurite density image metrics
title_fullStr Mapping tissue microstructure across the human brain on a clinical scanner with soma and neurite density image metrics
title_full_unstemmed Mapping tissue microstructure across the human brain on a clinical scanner with soma and neurite density image metrics
title_short Mapping tissue microstructure across the human brain on a clinical scanner with soma and neurite density image metrics
title_sort mapping tissue microstructure across the human brain on a clinical scanner with soma and neurite density image metrics
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10400787/
https://www.ncbi.nlm.nih.gov/pubmed/37461286
http://dx.doi.org/10.1002/hbm.26416
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