Diffusion Tensor Model links to Neurite Orientation Dispersion and Density Imaging at high b-value in Cerebral Cortical Gray Matter
| العنوان: | Diffusion Tensor Model links to Neurite Orientation Dispersion and Density Imaging at high b-value in Cerebral Cortical Gray Matter |
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| المؤلفون: | Tomohisa Okada, Katsutoshi Murata, David C. Van Essen, Thai Akasaka, Takayuki Yamamoto, Hui Zhang, Hikaru Fukutomi, Matthew F. Glasser, Joonas A. Autio, Kaori Togashi, Takuya Hayashi, Koji Fujimoto |
| المصدر: | Scientific Reports, Vol 9, Iss 1, Pp 1-12 (2019) Scientific Reports |
| بيانات النشر: | Cold Spring Harbor Laboratory, 2018. |
| سنة النشر: | 2018 |
| مصطلحات موضوعية: | Adult, Male, 0301 basic medicine, Neurite, Partial volume, lcsh:Medicine, Brain imaging, behavioral disciplines and activities, Article, 030218 nuclear medicine & medical imaging, Young Adult, 03 medical and health sciences, Magnetic resonance imaging, 0302 clinical medicine, Nuclear magnetic resonance, Neuroimaging, Neurites, medicine, Humans, Gray Matter, lcsh:Science, Physics, Multidisciplinary, Diffusion weighting, Human Connectome Project, medicine.diagnostic_test, lcsh:R, High B-Value, Diffusion Magnetic Resonance Imaging, Diffusion Tensor Imaging, 030104 developmental biology, nervous system, Female, lcsh:Q, 030217 neurology & neurosurgery, Diffusion MRI |
| الوصف: | 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. |
| وصف الملف: | application/pdf |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b5cae64b8d4c03e28f15a7c5fd2ad359Test https://doi.org/10.1101/441659Test |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....b5cae64b8d4c03e28f15a7c5fd2ad359 |
| قاعدة البيانات: | OpenAIRE |
| الوصف غير متاح. |