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...

Descripción completa

Detalles Bibliográficos
Autores principales: Kleban, Elena, Tax, Chantal M.W., Rudrapatna, Umesh S., Jones, Derek K., Bowtell, Richard
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