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Title: Diffusion Tensor Model links to Neurite Orientation Dispersion and Density Imaging at high b-value in Cerebral Cortical Gray Matter
Authors: Fukutomi, Hikaru
Glasser, Matthew F.
Murata, Katsutoshi
Akasaka, Thai
Fujimoto, Koji  kyouindb  KAKEN_id
Yamamoto, Takayuki
Autio, Joonas A.
Okada, Tomohisa
Togashi, Kaori
Zhang, Hui
Van Essen, David C.
Hayashi, Takuya
Author's alias: 福富, 光
村田, 勝俊
藤本, 晃司
岡田, 知久
富樫, かおり
林, 拓也
Keywords: Brain imaging
Magnetic resonance imaging
Issue Date: 22-Aug-2019
Publisher: Springer Nature
Journal title: Scientific Reports
Volume: 9
Thesis number: 12246
Abstract: Diffusion tensor imaging (DTI) and neurite orientation dispersion and density imaging (NODDI) are widely used models to infer microstructural features in the brain from diffusion-weighted MRI. Several studies have recently applied both models to increase sensitivity to biological changes, however, it remains uncertain how these measures are associated. Here we show that cortical distributions of DTI and NODDI are associated depending on the choice of b-value, a factor reflecting strength of diffusion weighting gradient. We analyzed a combination of high, intermediate and low b-value data of multi-shell diffusion-weighted MRI (dMRI) in healthy 456 subjects of the Human Connectome Project using NODDI, DTI and a mathematical conversion from DTI to NODDI. Cortical distributions of DTI and DTI-derived NODDI metrics were remarkably associated with those in NODDI, particularly when applied highly diffusion-weighted data (b-value = 3000 sec/mm2). This was supported by simulation analysis, which revealed that DTI-derived parameters with lower b-value datasets suffered from errors due to heterogeneity of cerebrospinal fluid fraction and partial volume. These findings suggest that high b-value DTI redundantly parallels with NODDI-based cortical neurite measures, but the conventional low b-value DTI is hard to reasonably characterize cortical microarchitecture.
Rights: © The Author(s) 2019. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
URI: http://hdl.handle.net/2433/250008
DOI(Published Version): 10.1038/s41598-019-48671-7
PubMed ID: 31439874
Appears in Collections:Journal Articles

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