Read by QxMD icon Read


Prasanna Parvathaneni, Vishwesh Nath, Justin A Blaber, Kurt G Schilling, Allison E Hainline, Ed Mojahed, Adam W Anderson, Bennett A Landman
Neurite Orientation Dispersion and Density Imaging (NODDI) has been gaining prominence for estimating multiple diffusion compartments from MRI data acquired in a clinically feasible time. To establish a pathway for adoption of NODDI in clinical studies, it is important to understand the sensitivity and reproducibility of NODDI metrics on empirical data in the context of acquisition protocol and brain anatomy. Previous studies addressed reproducibility across the 3 T scanners and within session and between subject reproducibility at 1...
March 8, 2018: Magnetic Resonance Imaging
Christina Andica, Koji Kamagata, Taku Hatano, Ayami Okuzumi, Asami Saito, Misaki Nakazawa, Ryo Ueda, Yumiko Motoi, Kouhei Kamiya, Michimasa Suzuki, Masaaki Hori, Kanako K Kumamaru, Nobutaka Hattori, Shigeki Aoki
INTRODUCTION: Parkinson's disease (PD) is marked by the degeneration of dopaminergic neurons in the nigrostriatal pathway (NSP). We aimed to identify the microstructural changes in the NSP of PD patients using neurite orientation dispersion and density imaging (NODDI). METHODS: NSPs of 29 PD patients, who were retrospectively selected from patients previously admitted to our institution, and 29 age- and gender-matched healthy controls were isolated via deterministic tractography...
February 28, 2018: Parkinsonism & related Disorders
Hikaru Fukutomi, Matthew F Glasser, Hui Zhang, Joonas A Autio, Timothy S Coalson, Tomohisa Okada, Kaori Togashi, David C Van Essen, Takuya Hayashi
We present distinct patterns of neurite distribution in the human cerebral cortex using diffusion magnetic resonance imaging (MRI). We analyzed both high-resolution structural (T1w and T2w images) and diffusion MRI data in 505 subjects from the Human Connectome Project. Neurite distributions were evaluated using the neurite orientation dispersion and density imaging (NODDI) model, optimized for gray matter, and mapped onto the cortical surface using a method weighted towards the cortical mid-thickness to reduce partial volume effects...
February 12, 2018: NeuroImage
Amandine Crombe, Vincent Planche, Gerard Raffard, Julien Bourel, Nadège Dubourdieu, Aude Panatier, Hikaru Fukutomi, Vincent Dousset, Stephane Oliet, Bassem Hiba, Thomas Tourdias
The hippocampus contains distinct populations of neurons organized into separate anatomical subfields and layers with differential vulnerability to pathological mechanisms. The ability of in vivo neuroimaging to pinpoint regional vulnerability is especially important for better understanding of hippocampal pathology at the early stage of neurodegenerative disorders and for monitoring future therapeutic strategies. This is the case for instance in multiple sclerosis whose neurodegenerative component can affect the hippocampus from the early stage...
January 31, 2018: NeuroImage
Xiaodong Ma, Xiao Han, Wen Jiang, Jinchao Wang, Zhe Zhang, Guangqi Li, Jieying Zhang, Xiaoguang Cheng, Huijun Chen, Hua Guo, Wei Tian
STUDY DESIGN: A retrospective cohort study. OBJECTIVE: To investigate the relationship between spinal cord microstructures and spinal cord dysfunction in degenerative cervical myelopathy (DCM) patients, a follow-up study was carried out using diffusion tensor imaging (DTI) and neurite orientation dispersion and density imaging (NODDI), an advanced diffusion model. SUMMARY OF BACKGROUND DATA: DTI has been used for diagnosis of DCM. Though DTI has advantages of high sensitivity and quantitative features, it is limited by its low specificity for measuring microstructures...
January 3, 2018: Spine
Yu-Kun Song, Xin-Bei Li, Xiao-Long Huang, Jing Zhao, Xiang-Xue Zhou, Yu-Liang Wang, Xu Yan, Jing-Yan Wang, Jian-Ping Chu
BACKGROUND: Previous studies have indicated that neurite orientation dispersion and density imaging (NODDI) could be used as a biomarker for detecting microstructural changes of brain. PURPOSE: To quantitatively evaluate the changes in basal ganglia (BG) and thalamus in Wilson's disease (WD) by NODDI and assess the correlation between parameters and disease severity. STUDY TYPE: Prospective case-control study. POPULATION: In total, 24 WD patients and 25 age- and sex-matched normal controls were involved in this study...
December 18, 2017: Journal of Magnetic Resonance Imaging: JMRI
Prasanna Parvathaneni, Baxter P Rogers, Yuankai Huo, Kurt G Schilling, Allison E Hainline, Adam W Anderson, Neil D Woodward, Bennett A Landman
Tract-based spatial statistics (TBSS) has proven to be a popular technique for performing voxel-wise statistical analysis that aims to improve sensitivity and interpretability of analysis of multi-subject diffusion imaging studies in white matter. With the advent of advanced diffusion MRI models - e.g., the neurite orientation dispersion density imaging (NODDI), it is of interest to analyze microstructural changes within gray matter (GM). A recent study has proposed using NODDI in gray matter based spatial statistics (N-GBSS) to perform voxel-wise statistical analysis on GM microstructure...
September 2017: Medical Image Computing and Computer-assisted Intervention: MICCAI ..
Hideaki Suzuki, He Gao, Wenjia Bai, Evangelos Evangelou, Ben Glocker, Declan P O'Regan, Paul Elliott, Paul M Matthews
OBJECTIVES: To characterize effects of chronically elevated blood pressure on the brain, we tested for brain white matter microstructural differences associated with normotension, pre-hypertension and hypertension in recently available brain magnetic resonance imaging data from 4659 participants without known neurological or psychiatric disease (62.3±7.4 yrs, 47.0% male) in UK Biobank. METHODS: For assessment of white matter microstructure, we used measures derived from neurite orientation dispersion and density imaging (NODDI) including the intracellular volume fraction (an estimate of neurite density) and isotropic volume fraction (an index of the relative extra-cellular water diffusion)...
2017: PloS One
Isabel Ellerbrock, Siawoosh Mohammadi
A recent method, denoted in vivo g-ratio-weighted imaging, has related the microscopic g-ratio, only accessible by ex vivo histology, to noninvasive MRI markers for the fiber volume fraction (FVF) and myelin volume fraction (MVF). Different MRI markers have been proposed for g-ratio weighted imaging, leaving open the question which combination of imaging markers is optimal. To address this question, the repeatability and comparability of four g-ratio methods based on different combinations of, respectively, two imaging markers for FVF (tract-fiber density, TFD, and neurite orientation dispersion and density imaging, NODDI) and two imaging markers for MVF (magnetization transfer saturation rate, MT, and, from proton density maps, macromolecular tissue volume, MTV) were tested in a scan-rescan experiment in two groups...
January 2018: Human Brain Mapping
Kurt G Schilling, Vaibhav Janve, Yurui Gao, Iwona Stepniewska, Bennett A Landman, Adam W Anderson
Diffusion magnetic resonance imaging (dMRI) is widely used to probe tissue microstructure, and is currently the only non-invasive way to measure the brain's fiber architecture. While a large number of approaches to recover the intra-voxel fiber structure have been utilized in the scientific community, a direct, 3D, quantitative validation of these methods against relevant histological fiber geometries is lacking. In this study, we investigate how well different high angular resolution diffusion imaging (HARDI) models and reconstruction methods predict the ground-truth histologically defined fiber orientation distribution (FOD), as well as investigate their behavior over a range of physical and experimental conditions...
January 15, 2018: NeuroImage
Woojin Jung, Jingu Lee, Hyeong-Geol Shin, Yoonho Nam, Hui Zhang, Se-Hong Oh, Jongho Lee
MR g-ratio, which measures the ratio of the aggregate volume of axons to that of fibers in a voxel, is a potential biomarker for white matter microstructures. In this study, a new approach for acquiring an in-vivo whole human brain g-ratio map is proposed. To estimate the g-ratio, myelin volume fraction and axonal volume fraction are acquired using multi-echo gradient echo myelin water imaging (GRE-MWI) and neurite orientation dispersion and density imaging (NODDI), respectively. In order to translate myelin water fraction measured in GRE-MWI into myelin volume fraction, a new scaling procedure is proposed and validated...
September 27, 2017: NeuroImage
Chuyang Ye
Diffusion magnetic resonance imaging (dMRI) captures the anisotropic pattern of water displacement in the neuronal tissue and allows noninvasive investigation of the complex tissue microstructure. A number of biophysical models have been proposed to relate the tissue organization with the observed diffusion signals, so that the tissue microstructure can be inferred. The Neurite Orientation Dispersion and Density Imaging (NODDI) model has been a popular choice and has been widely used for many neuroscientific studies...
September 6, 2017: Medical Image Analysis
Francesco Grussu, Torben Schneider, Carmen Tur, Richard L Yates, Mohamed Tachrount, Andrada Ianuş, Marios C Yiannakas, Jia Newcombe, Hui Zhang, Daniel C Alexander, Gabriele C DeLuca, Claudia A M Gandini Wheeler-Kingshott
OBJECTIVE: Conventional magnetic resonance imaging (MRI) of the multiple sclerosis spinal cord is limited by low specificity regarding the underlying pathological processes, and new MRI metrics assessing microscopic damage are required. We aim to show for the first time that neurite orientation dispersion (i.e., variability in axon/dendrite orientations) is a new biomarker that uncovers previously undetected layers of complexity of multiple sclerosis spinal cord pathology. Also, we validate against histology a clinically viable MRI technique for dispersion measurement (neurite orientation dispersion and density imaging, NODDI), to demonstrate the strong potential of the new marker...
September 2017: Annals of Clinical and Translational Neurology
Alyssa Mah, Bryce Geeraert, Catherine Lebel
Diffusion tensor imaging (DTI) studies have provided much evidence of white and subcortical gray matter changes during late childhood and early adolescence that suggest increasing myelination, axon density, and/or fiber coherence. Neurite orientation dispersion and density imaging (NODDI) can be used to further characterize development in white and subcortical grey matter regions in the brain by improving specificity of the MRI signal compared to conventional DTI. We used measures from NODDI and DTI to examine white and subcortical gray matter development in a group of 27 healthy participants aged 8-13 years...
2017: PloS One
Miho Ota, Noriko Sato, Norihide Maikusa, Daichi Sone, Hiroshi Matsuda, Hiroshi Kunugi
PURPOSE: The new diffusional magnetic resonance imaging (dMRI) techniques, diffusional kurtosis imaging (DKI) and neurite orientation dispersion and density imaging (NODDI) have been developed to clarify the microstructural changes. To our knowledge, however, there is little information on the similarities and differences of these metrics evaluated by the image-by-image paired t test. MATERIALS AND METHODS: Twenty-three healthy subjects underwent dMRI. We estimated the relationships of these metrics evaluated by the image-by-image paired t-test and compared aging effects on each metric...
October 2017: Japanese Journal of Radiology
Ivan I Maximov, Aram S Tonoyan, Igor N Pronin
Modern diffusion MR protocols allow one to acquire the multi-shell diffusion data with high diffusion weightings in a clinically feasible time. In the present work we assessed three diffusion approaches based on diffusion and kurtosis tensor imaging (DTI, DKI), and neurite orientation dispersion and density imaging (NODDI) as possible biomarkers for human brain glioma grade differentiation based on the one diffusion protocol. We used three diffusion weightings (so called b-values) equal to 0, 1000, and 2500s/mm(2) with 60 non-coplanar diffusion directions in the case of non-zero b-values...
July 13, 2017: Physica Medica: PM
Genki Okita, Tetsuro Ohba, Tomohiro Takamura, Shigeto Ebata, Ryo Ueda, Hiroshi Onishi, Hirotaka Haro, Masaaki Hori
BACKGROUND CONTEXT: Surgical outcome and the severity of cervical spondylotic myelopathy (CSM) are unpredictable and cannot be estimated by conventional anatomical magnetic resonance imaging (MRI). The utility of diffusion tensor imaging (DTI) to quantify the severity of CSM and to assess postoperative neurologic recovery has been investigated. However, whether conventional DTI should be applied in a clinical setting remains controversial. Neurite orientation dispersion and density imaging (NODDI) is a recently introduced model-based diffusion-weighted MRI technique that quantifies specific microstructural features related directly to neuronal morphology...
July 12, 2017: Spine Journal: Official Journal of the North American Spine Society
Torben Schneider, W Brownlee, H Zhang, Olga Ciccarelli, David H Miller, Claudia Gandini Wheeler-Kingshott
Diffusion tensor imaging (DTI) is sensitive to white matter (WM) damage in multiple sclerosis (MS), not only in focal lesions but also in the normal-appearing WM (NAWM). However, DTI indices can also be affected by natural spatial variation in WM, as seen in crossing and dispersing white matter fibers. Neurite orientation dispersion and density imaging (NODDI) is an advanced diffusion-weighted imaging technique that provides distinct indices of fiber density and dispersion. We performed NODDI of lesion tissue and NAWM in five MS patients and five controls, comparing the technique with traditional DTI...
April 2017: Functional Neurology
Catherine F Slattery, Jiaying Zhang, Ross W Paterson, Alexander J M Foulkes, Amelia Carton, Kirsty Macpherson, Laura Mancini, David L Thomas, Marc Modat, Nicolas Toussaint, David M Cash, John S Thornton, Susie M D Henley, Sebastian J Crutch, Daniel C Alexander, Sebastien Ourselin, Nick C Fox, Hui Zhang, Jonathan M Schott
Mechanisms underlying phenotypic heterogeneity in young onset Alzheimer disease (YOAD) are poorly understood. We used diffusion tensor imaging and neurite orientation dispersion and density imaging (NODDI) with tract-based spatial statistics to investigate apolipoprotein (APOE) ε4 modulation of white-matter damage in 37 patients with YOAD (22, 59% APOE ε4 positive) and 23 age-matched controls. Correlation between neurite density index (NDI) and neuropsychological performance was assessed in 4 white-matter regions of interest...
September 2017: Neurobiology of Aging
Samantha By, Junzhong Xu, Bailey A Box, Francesca R Bagnato, Seth A Smith
INTRODUCTION: There is a need to develop imaging methods sensitive to axonal injury in multiple sclerosis (MS), given the prominent impact of axonal pathology on disability and outcome. Advanced multi-compartmental diffusion models offer novel indices sensitive to white matter microstructure. One such model, neurite orientation dispersion and density imaging (NODDI), is sensitive to neurite morphology, providing indices of apparent volume fractions of axons (vin), isotropic water (viso) and the dispersion of fibers about a central axis (orientation dispersion index, ODI)...
2017: NeuroImage: Clinical
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"