Cargando…
Strong diffusion gradients allow the separation of intra- and extra-axonal gradient-echo signals in the human brain
The quantification of brain white matter properties is a key area of application of Magnetic Resonance Imaging (MRI), with much effort focused on using MR techniques to quantify tissue microstructure. While diffusion MRI probes white matter (WM) microstructure by characterising the sensitivity of Br...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7613126/ https://www.ncbi.nlm.nih.gov/pubmed/32335263 http://dx.doi.org/10.1016/j.neuroimage.2020.116793 |
_version_ | 1783605447393017856 |
---|---|
author | Kleban, Elena Tax, Chantal M.W. Rudrapatna, Umesh S. Jones, Derek K. Bowtell, Richard |
author_facet | Kleban, Elena Tax, Chantal M.W. Rudrapatna, Umesh S. Jones, Derek K. Bowtell, Richard |
author_sort | Kleban, Elena |
collection | PubMed |
description | The quantification of brain white matter properties is a key area of application of Magnetic Resonance Imaging (MRI), with much effort focused on using MR techniques to quantify tissue microstructure. While diffusion MRI probes white matter (WM) microstructure by characterising the sensitivity of Brownian motion of water molecules to anisotropic structures, susceptibility-based techniques probe the tissue microstructure by observing the effect of interaction between the tissue and the magnetic field. Here, we unify these two complementary approaches by combining ultra-strong (300 mT/m) gradients with a novel Diffusion-Filtered Asymmetric Spin Echo (D-FASE) technique. Using D-FASE we can separately assess the evolution of the intra- and extra-axonal signals under the action of susceptibility effects, revealing differences in the behaviour in different fibre tracts. We observed that the effective relaxation rate of the ASE signal in the corpus callosum decreases with increasing b-value in all subjects (from 17.1 ± 0.7 s(−1) at b = 0 s/mm(2) to 14.6 ± 0.7 s(−1) at b = 4800 s/mm(2)), while this dependence on b in the corticospinal tract is less pronounced (from 12.0± 1.1 s(−1) at b = 0s/mm(2) to 10.7 ± 0.5 s(−1) at b = 4800 s/mm(2)). Voxelwise analysis of the signal evolution with respect to b-factor and acquisition delay using a microscopic model demonstrated differences in gradient echo signal evolution between the intra- and extra-axonal pools. |
format | Online Article Text |
id | pubmed-7613126 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
record_format | MEDLINE/PubMed |
spelling | pubmed-76131262022-07-23 Strong diffusion gradients allow the separation of intra- and extra-axonal gradient-echo signals in the human brain Kleban, Elena Tax, Chantal M.W. Rudrapatna, Umesh S. Jones, Derek K. Bowtell, Richard Neuroimage Article The quantification of brain white matter properties is a key area of application of Magnetic Resonance Imaging (MRI), with much effort focused on using MR techniques to quantify tissue microstructure. While diffusion MRI probes white matter (WM) microstructure by characterising the sensitivity of Brownian motion of water molecules to anisotropic structures, susceptibility-based techniques probe the tissue microstructure by observing the effect of interaction between the tissue and the magnetic field. Here, we unify these two complementary approaches by combining ultra-strong (300 mT/m) gradients with a novel Diffusion-Filtered Asymmetric Spin Echo (D-FASE) technique. Using D-FASE we can separately assess the evolution of the intra- and extra-axonal signals under the action of susceptibility effects, revealing differences in the behaviour in different fibre tracts. We observed that the effective relaxation rate of the ASE signal in the corpus callosum decreases with increasing b-value in all subjects (from 17.1 ± 0.7 s(−1) at b = 0 s/mm(2) to 14.6 ± 0.7 s(−1) at b = 4800 s/mm(2)), while this dependence on b in the corticospinal tract is less pronounced (from 12.0± 1.1 s(−1) at b = 0s/mm(2) to 10.7 ± 0.5 s(−1) at b = 4800 s/mm(2)). Voxelwise analysis of the signal evolution with respect to b-factor and acquisition delay using a microscopic model demonstrated differences in gradient echo signal evolution between the intra- and extra-axonal pools. 2020-08-15 2020-04-23 /pmc/articles/PMC7613126/ /pubmed/32335263 http://dx.doi.org/10.1016/j.neuroimage.2020.116793 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Kleban, Elena Tax, Chantal M.W. Rudrapatna, Umesh S. Jones, Derek K. Bowtell, Richard Strong diffusion gradients allow the separation of intra- and extra-axonal gradient-echo signals in the human brain |
title | Strong diffusion gradients allow the separation of intra- and extra-axonal gradient-echo signals in the human brain |
title_full | Strong diffusion gradients allow the separation of intra- and extra-axonal gradient-echo signals in the human brain |
title_fullStr | Strong diffusion gradients allow the separation of intra- and extra-axonal gradient-echo signals in the human brain |
title_full_unstemmed | Strong diffusion gradients allow the separation of intra- and extra-axonal gradient-echo signals in the human brain |
title_short | Strong diffusion gradients allow the separation of intra- and extra-axonal gradient-echo signals in the human brain |
title_sort | strong diffusion gradients allow the separation of intra- and extra-axonal gradient-echo signals in the human brain |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7613126/ https://www.ncbi.nlm.nih.gov/pubmed/32335263 http://dx.doi.org/10.1016/j.neuroimage.2020.116793 |
work_keys_str_mv | AT klebanelena strongdiffusiongradientsallowtheseparationofintraandextraaxonalgradientechosignalsinthehumanbrain AT taxchantalmw strongdiffusiongradientsallowtheseparationofintraandextraaxonalgradientechosignalsinthehumanbrain AT rudrapatnaumeshs strongdiffusiongradientsallowtheseparationofintraandextraaxonalgradientechosignalsinthehumanbrain AT jonesderekk strongdiffusiongradientsallowtheseparationofintraandextraaxonalgradientechosignalsinthehumanbrain AT bowtellrichard strongdiffusiongradientsallowtheseparationofintraandextraaxonalgradientechosignalsinthehumanbrain |