Literature DB >> 25595503

Microscopic diffusion anisotropy in the human brain: reproducibility, normal values, and comparison with the fractional anisotropy.

Marco Lawrenz1, Stefanie Brassen1, Jürgen Finsterbusch2.   

Abstract

Human neuroimaging of tissue microstructure, such as axonal density and integrity, is key in clinical and neuroscience research. Most studies rely on diffusion tensor imaging (DTI) and the measures derived from it, most prominently fractional anisotropy (FA). However, FA also depends on fiber orientation distribution, a more macroscopic tissue property. Recently introduced measures of so-called microscopic diffusion anisotropy, diffusion anisotropy on a cellular or microscopic level, overcome this limitation because they are independent of the orientation distributions of axons and fibers. In this study, we evaluate the feasibility of two measures of microscopic diffusion anisotropy I(MA) and MA indices, for human neuroscience and clinical research. Both indices reflect the eccentricity of the cells but while I(MA) also depends on the cell size, MA is independent of the cell size and, like FA, scaled between 0 and 1. In whole-brain measurements of a group of 19 healthy volunteers, we measured average values and variability, evaluated their reproducibility, both within and between sessions, and compared MA to FA values in selected regions-of-interest (ROIs). The within- and between-session comparison did not show substantial differences but the reproducibility was much better for the MA than I(MA) (coefficient of variation between sessions 10.5% vs. 28.9%). The reproducibility was less for MA than FA overall, but comparable in the defined ROIs and the average group sizes required for between-group comparisons was similar (about 60 participants for a relative difference of 5%). Group-averaged values of MA index were generally larger and showed less variation across white-matter brain ROIs than FA (mean ± standard deviation of seven ROIs 0.83 ± 0.10 vs. 0.58 ± 0.13). Even in some gray-matter ROIs, MA values comparable to those of white matter ROIs were observed. Furthermore, the within-group variation of the values in white matter ROIs was lower for the MA compared to the FA (mean standard deviation over volunteers 0.038 vs. 0.049) which could be due to significant variability in the distribution of fiber orientation contributing to FA. These results indicate that MA (i) should be preferred to I(MA), (ii) has a reproducibility and group-size requirements comparable to those of FA; (iii) is less sensitive to the fiber orientation distribution than FA; and (iv) could be more sensitive to differences or changes of the tissue microstructure than FA. R1.1.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  DWV; Double-wave-vector diffusion weighting; FA; I(MA) index; MA; Microscopic diffusion anisotropy; White matter integrity; d-PFG

Mesh:

Year:  2015        PMID: 25595503     DOI: 10.1016/j.neuroimage.2015.01.025

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  11 in total

1.  In vivo microscopic diffusional kurtosis imaging with symmetrized double diffusion encoding EPI.

Authors:  Yang Ji; Jeffrey Paulsen; Iris Yuwen Zhou; Dongshuang Lu; Patrick Machado; Bensheng Qiu; Yi-Qiao Song; Phillip Zhe Sun
Journal:  Magn Reson Med       Date:  2018-09-09       Impact factor: 4.668

2.  Evaluation of white matter microstructure in patients with Parkinson's disease using microscopic fractional anisotropy.

Authors:  Yutaka Ikenouchi; Koji Kamagata; Christina Andica; Taku Hatano; Takashi Ogawa; Haruka Takeshige-Amano; Kouhei Kamiya; Akihiko Wada; Michimasa Suzuki; Shohei Fujita; Akifumi Hagiwara; Ryusuke Irie; Masaaki Hori; Genko Oyama; Yashushi Shimo; Atsushi Umemura; Nobutaka Hattori; Shigeki Aoki
Journal:  Neuroradiology       Date:  2019-11-04       Impact factor: 2.804

3.  Double diffusion encoding MRI for the clinic.

Authors:  Grant Yang; Qiyuan Tian; Christoph Leuze; Max Wintermark; Jennifer A McNab
Journal:  Magn Reson Med       Date:  2017-12-19       Impact factor: 4.668

4.  Distinguishing neuronal from astrocytic subcellular microstructures using in vivo Double Diffusion Encoded 1H MRS at 21.1 T.

Authors:  Noam Shemesh; Jens T Rosenberg; Jean-Nicolas Dumez; Samuel C Grant; Lucio Frydman
Journal:  PLoS One       Date:  2017-10-02       Impact factor: 3.240

5.  A Novel Technique for Region and Linguistic Specific nTMS-based DTI Fiber Tracking of Language Pathways in Brain Tumor Patients.

Authors:  Giovanni Raffa; Ina Bährend; Heike Schneider; Katharina Faust; Antonino Germanò; Peter Vajkoczy; Thomas Picht
Journal:  Front Neurosci       Date:  2016-12-02       Impact factor: 4.677

6.  Tensor-valued diffusion encoding for diffusional variance decomposition (DIVIDE): Technical feasibility in clinical MRI systems.

Authors:  Filip Szczepankiewicz; Jens Sjölund; Freddy Ståhlberg; Jimmy Lätt; Markus Nilsson
Journal:  PLoS One       Date:  2019-03-28       Impact factor: 3.240

7.  Brain White-Matter Degeneration Due to Aging and Parkinson Disease as Revealed by Double Diffusion Encoding.

Authors:  Kouhei Kamiya; Koji Kamagata; Kotaro Ogaki; Taku Hatano; Takashi Ogawa; Haruka Takeshige-Amano; Syo Murata; Christina Andica; Katsutoshi Murata; Thorsten Feiweier; Masaaki Hori; Nobutaka Hattori; Shigeki Aoki
Journal:  Front Neurosci       Date:  2020-10-15       Impact factor: 4.677

8.  Human Cochlear Nucleus on 7 Tesla Diffusion Tensor Imaging: Insights Into Micro-anatomy and Function for Auditory Brainstem Implant Surgery.

Authors:  Lorenz Epprecht; Ahad Qureshi; Elliott D Kozin; Nicolas Vachicouras; Alexander M Huber; Ron Kikinis; Nikos Makris; M Christian Brown; Katherine L Reinshagen; Daniel J Lee
Journal:  Otol Neurotol       Date:  2020-04       Impact factor: 2.619

9.  Challenges in the reproducibility of clinical studies with resting state fMRI: An example in early Parkinson's disease.

Authors:  Ludovica Griffanti; Michal Rolinski; Konrad Szewczyk-Krolikowski; Ricarda A Menke; Nicola Filippini; Giovanna Zamboni; Mark Jenkinson; Michele T M Hu; Clare E Mackay
Journal:  Neuroimage       Date:  2015-09-16       Impact factor: 6.556

10.  Test-retest reliability of high spatial resolution diffusion tensor and diffusion kurtosis imaging.

Authors:  Pashtun Shahim; Laurena Holleran; Joong H Kim; David L Brody
Journal:  Sci Rep       Date:  2017-09-11       Impact factor: 4.379

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.