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https://www.readbyqxmd.com/read/29752305/white-matter-integrity-and-processing-speed-in-sickle-cell-anemia
#1
Hanne Stotesbury, Fenella J Kirkham, Melanie Kölbel, Philippa Balfour, Jonathan D Clayden, Sati Sahota, Simrat Sakaria, Dawn E Saunders, Jo Howard, Rachel Kesse-Adu, Baba Inusa, Maria Pelidis, Subarna Chakravorty, David C Rees, Moji Awogbade, Olu Wilkey, Mark Layton, Christopher A Clark, Jamie M Kawadler
OBJECTIVE: The purpose of this retrospective cross-sectional study was to investigate whether changes in white matter integrity are related to slower processing speed in sickle cell anemia. METHODS: Thirty-seven patients with silent cerebral infarction, 46 patients with normal MRI, and 32 sibling controls (age range 8-37 years) underwent cognitive assessment using the Wechsler scales and 3-tesla MRI. Tract-based spatial statistics analyses of diffusion tensor imaging (DTI) and neurite orientation dispersion and density imaging (NODDI) parameters were performed...
May 11, 2018: Neurology
https://www.readbyqxmd.com/read/29728228/detection-of-structural-abnormalities-of-cortical-and-subcortical-gray-matter-in-patients-with-mri-negative-refractory-epilepsy-using-neurite-orientation-dispersion-and-density-imaging
#2
Masoumeh Rostampour, Hassan Hashemi, Seyed Morteza Najibi, Mohammad Ali Oghabian
PURPOSE: NODDI (Neurite Orientation Dispersion and Density Imaging) and DTI (Diffusion tensor imaging) may be useful in identifying abnormal regions in patients with MRI-negative refractory epilepsy. The aim of this study was to determine whether NODDI and DTI maps including neurite density (ND), orientation dispersion index (ODI), mean diffusivity (MD) and fractional anisotropy (FA) can detect structural abnormalities in cortical and subcortical gray matter (GM) in these patients. The correlation between these parameters and clinical characteristics of the disease was also investigated...
April 2018: Physica Medica: PM
https://www.readbyqxmd.com/read/29675944/advanced-mr-diffusion-imaging-and-chemotherapy-related-changes-in-cerebral-white-matter-microstructure-of-survivors-of-childhood-bone-and-soft-tissue-sarcoma
#3
Charlotte Sleurs, Jurgen Lemiere, Daan Christiaens, Thibo Billiet, Ronald Peeters, Stefan Sunaert, Anne Uyttebroeck, Sabine Deprez
With the increase of survival rates of pediatric cancer patients, the number of children facing potential cognitive sequelae has grown. Previous adult studies suggest that white matter (WM) microstructural changes may contribute to cognitive impairment. This study aims to investigate WM microstructure in childhood bone and soft tissue sarcoma. Differences in (micro-)structure can be investigated using diffusion MRI (dMRI). The typically used diffusion tensor model (DTI) assumes Gaussian diffusion, and lacks information about fiber populations...
April 20, 2018: Human Brain Mapping
https://www.readbyqxmd.com/read/29671924/effects-of-syn1-q555x-mutation-on-cortical-gray-matter-microstructure
#4
Jean-François Cabana, Guillaume Gilbert, Laurent Létourneau-Guillon, Dima Safi, Isabelle Rouleau, Patrick Cossette, Dang Khoa Nguyen
A new Q555X mutation on the SYN1 gene was recently found in several members of a family segregating dyslexia, epilepsy, and autism spectrum disorder. To describe the effects of this mutation on cortical gray matter microstructure, we performed a surface-based group study using novel diffusion and quantitative multiparametric imaging on 13 SYN1Q555X mutation carriers and 13 age- and sex-matched controls. Specifically, diffusion kurtosis imaging (DKI) and neurite orientation and dispersion and density imaging (NODDI) were used to analyze multi-shell diffusion data and obtain parametric maps sensitive to tissue structure, while quantitative metrics sensitive to tissue composition (T1, T2* and relative proton density [PD]) were obtained from a multi-echo variable flip angle FLASH acquisition...
April 19, 2018: Human Brain Mapping
https://www.readbyqxmd.com/read/29575324/cortical-microstructure-in-young-onset-alzheimer-s-disease-using-neurite-orientation-dispersion-and-density-imaging
#5
Thomas D Parker, Catherine F Slattery, Jiaying Zhang, Jennifer M Nicholas, Ross W Paterson, Alexander J M Foulkes, Ian B Malone, David L Thomas, Marc Modat, David M Cash, Sebastian J Crutch, Daniel C Alexander, Sebastien Ourselin, Nick C Fox, Hui Zhang, Jonathan M Schott
Alzheimer's disease (AD) is associated with extensive alterations in grey matter microstructure, but our ability to quantify this in vivo is limited. Neurite orientation dispersion and density imaging (NODDI) is a multi-shell diffusion MRI technique that estimates neuritic microstructure in the form of orientation dispersion and neurite density indices (ODI/NDI). Mean values for cortical thickness, ODI, and NDI were extracted from predefined regions of interest in the cortical grey matter of 38 patients with young onset AD and 22 healthy controls...
March 25, 2018: Human Brain Mapping
https://www.readbyqxmd.com/read/29526642/empirical-reproducibility-sensitivity-and-optimization-of-acquisition-protocol-for-neurite-orientation-dispersion-and-density-imaging-using-amico
#6
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
https://www.readbyqxmd.com/read/29525556/neurite-orientation-dispersion-and-density-imaging-of-the-nigrostriatal-pathway-in-parkinson-s-disease-retrograde-degeneration-observed-by-tract-profile-analysis
#7
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
https://www.readbyqxmd.com/read/29448073/neurite-imaging-reveals-microstructural-variations-in-human-cerebral-cortical-gray-matter
#8
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
https://www.readbyqxmd.com/read/29409838/deciphering-the-microstructure-of-hippocampal-subfields-with-in-vivo-dti-and-noddi-applications-to-experimental-multiple-sclerosis
#9
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...
May 15, 2018: NeuroImage
https://www.readbyqxmd.com/read/29300252/a-follow-up-study-of-postoperative-dcm-patients-using-diffusion-mri-with-dti-and-noddi
#10
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
https://www.readbyqxmd.com/read/29251804/a-study-of-neurite-orientation-dispersion-and-density-imaging-in-wilson-s-disease
#11
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
https://www.readbyqxmd.com/read/29226284/gray-matter-surface-based-spatial-statistics-gs-bss-in-diffusion-microstructure
#12
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 ..
https://www.readbyqxmd.com/read/29145428/abnormal-brain-white-matter-microstructure-is-associated-with-both-pre-hypertension-and-hypertension
#13
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
https://www.readbyqxmd.com/read/29091341/four-in-vivo-g-ratio-weighted-imaging-methods-comparability-and-repeatability-at-the-group-level
#14
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
https://www.readbyqxmd.com/read/29074279/histological-validation-of-diffusion-mri-fiber-orientation-distributions-and-dispersion
#15
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
https://www.readbyqxmd.com/read/28962901/whole-brain-g-ratio-mapping-using-myelin-water-imaging-mwi-and-neurite-orientation-dispersion-and-density-imaging-noddi
#16
REVIEW
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
https://www.readbyqxmd.com/read/28910696/tissue-microstructure-estimation-using-a-deep-network-inspired-by-a-dictionary-based-framework
#17
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
https://www.readbyqxmd.com/read/28904988/neurite-dispersion-a-new-marker-of-multiple-sclerosis-spinal-cord-pathology
#18
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
https://www.readbyqxmd.com/read/28817577/detailing-neuroanatomical-development-in-late-childhood-and-early-adolescence-using-noddi
#19
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
https://www.readbyqxmd.com/read/28748504/whole-brain-analyses-of-age-related-microstructural-changes-quantified-using-different-diffusional-magnetic-resonance-imaging-methods
#20
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
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