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Ai Wern Chung, Kiran K Seunarine, Chris A Clark
Diffusion models are advantageous for examining brain microstructure non-invasively and their validation is important for transference into the clinical domain. Neurite Orientation Dispersion and Density Imaging (NODDI) is a promising model for estimating multiple diffusion compartments from MRI data acquired in a clinically feasible time. As a relatively new model, it is necessary to examine NODDI under certain experimental conditions, such as change in magnetic field-strength, and assess it in relation to diffusion tensor imaging (DTI), an established model that is largely understood by the neuroimaging community...
August 1, 2016: Human Brain Mapping
Akash P Kansagra, Marc C Mabray, Donna M Ferriero, A James Barkovich, Duan Xu, Christopher P Hess
PURPOSE: This study aims to apply neurite orientation dispersion and density imaging (NODDI) to measure white matter microstructural features during early development. METHODS: NODDI parameters were measured in twelve newborns and thirteen 6-month infants, all with perinatal clinical encephalopathy. RESULTS: Between 0 and 6 months, there were significant differences in fractional anisotropy (FA) for all tracts; in neurite density for internal capsules, optic radiations, and splenium; and in orientation dispersion for anterior limb of internal capsule and optic radiations...
September 2016: Clinical Imaging
Eduardo Caverzasi, Nico Papinutto, Antonella Castellano, Alyssa H Zhu, Paola Scifo, Marco Riva, Lorenzo Bello, Andrea Falini, Aditya Bharatha, Roland G Henry
PURPOSE: Neurite orientation dispersion and density imaging (NODDI) has recently been developed to overcome diffusion technique limitations in modeling biological systems. This manuscript reports a preliminary investigation into the use of a single color-coded map to represent NODDI-derived information. MATERIALS AND METHODS: An optimized diffusion-weighted imaging protocol was acquired in several clinical neurological contexts including demyelinating disease, neoplastic process, stroke, and toxic/metabolic disease...
September 2016: Journal of Neuroimaging: Official Journal of the American Society of Neuroimaging
Chinthala P Reddy, Yogesh Rathi
Tracing white matter fiber bundles is an integral part of analyzing brain connectivity. An accurate estimate of the underlying tissue parameters is also paramount in several neuroscience applications. In this work, we propose to use a joint fiber model estimation and tractography algorithm that uses the NODDI (neurite orientation dispersion diffusion imaging) model to estimate fiber orientation dispersion consistently and smoothly along the fiber tracts along with estimating the intracellular and extracellular volume fractions from the diffusion signal...
2016: Frontiers in Neuroscience
Claire E Kelly, Deanne K Thompson, Jian Chen, Alexander Leemans, Christopher L Adamson, Terrie E Inder, Jeanie L Y Cheong, Lex W Doyle, Peter J Anderson
BACKGROUND: Very preterm birth (VPT, <32 weeks' gestation) is associated with altered white matter fractional anisotropy (FA), the biological basis of which is uncertain but may relate to changes in axon density and/or dispersion, which can be measured using Neurite Orientation Dispersion and Density Imaging (NODDI). This study aimed to compare whole brain white matter FA, axon dispersion, and axon density between VPT children and controls (born ≥37 weeks' gestation), and to investigate associations with perinatal factors and neurodevelopmental outcomes...
September 2016: Human Brain Mapping
Chandana Kodiweera, Yu-Chien Wu
This article provides NODDI diffusion metrics in the brains of 52 healthy participants and computer simulation data to support compatibility of hybrid diffusion imaging (HYDI), "Hybrid diffusion imaging"[1] acquisition scheme in fitting neurite orientation dispersion and density imaging (NODDI) model, "NODDI: practical in vivo neurite orientation dispersion and density imaging of the human brain"[2]. HYDI is an extremely versatile diffusion magnetic resonance imaging (dMRI) technique that enables various analyzes methods using a single diffusion dataset...
June 2016: Data in Brief
Mauro Zucchelli, Lorenza Brusini, C Andrés Méndez, Alessandro Daducci, Cristina Granziera, Gloria Menegaz
Diffusion weighted magnetic resonance signals convey information about tissue microstructure and cytoarchitecture. In the last years, many models have been proposed for recovering the diffusion signal and extracting information to constitute new families of numerical indices. Two main categories of reconstruction models can be identified in diffusion magnetic resonance imaging (DMRI): ensemble average propagator (EAP) models and compartmental models. From both, descriptors can be derived for elucidating the underlying microstructural architecture...
August 2016: Medical Image Analysis
Fani Deligianni, David W Carmichael, Gary H Zhang, Chris A Clark, Jonathan D Clayden
In Diffusion Weighted MR Imaging (DWI), the signal is affected by the biophysical properties of neuronal cells and their relative placement, as well as extra-cellular tissue compartments. Typically, microstructural indices, such as fractional anisotropy (FA) and mean diffusivity (MD), are based on a tensor model that cannot disentangle the influence of these parameters. Recently, Neurite Orientation Dispersion and Density Imaging (NODDI) has exploited multi-shell acquisition protocols to model the diffusion signal as the contribution of three tissue compartments...
2016: PloS One
Rutger H J Fick, Demian Wassermann, Emmanuel Caruyer, Rachid Deriche
The recovery of microstructure-related features of the brain's white matter is a current challenge in diffusion MRI. To robustly estimate these important features from multi-shell diffusion MRI data, we propose to analytically regularize the coefficient estimation of the Mean Apparent Propagator (MAP)-MRI method using the norm of the Laplacian of the reconstructed signal. We first compare our approach, which we call MAPL, with competing, state-of-the-art functional basis approaches. We show that it outperforms the original MAP-MRI implementation and the recently proposed modified Spherical Polar Fourier (mSPF) basis with respect to signal fitting and reconstruction of the Ensemble Average Propagator (EAP) and Orientation Distribution Function (ODF) in noisy, sparsely sampled data of a physical phantom with reference gold standard data...
July 1, 2016: NeuroImage
Douglas C Dean, Jonathan O'Muircheartaigh, Holly Dirks, Brittany G Travers, Nagesh Adluru, Andrew L Alexander, Sean C L Deoni
Optimal myelination of neuronal axons is essential for effective brain and cognitive function. The ratio of the axon diameter to the outer fiber diameter, known as the g-ratio, is a reliable measure to assess axonal myelination and is an important index reflecting the efficiency and maximal conduction velocity of white matter pathways. Although advanced neuroimaging techniques including multicomponent relaxometry (MCR) and diffusion tensor imaging afford insight into the microstructural characteristics of brain tissue, by themselves they do not allow direct analysis of the myelin g-ratio...
May 15, 2016: NeuroImage
Maira Tariq, Torben Schneider, Daniel C Alexander, Claudia A Gandini Wheeler-Kingshott, Hui Zhang
This paper presents Bingham-NODDI, a clinically-feasible technique for estimating the anisotropic orientation dispersion of neurites. Direct quantification of neurite morphology on clinical scanners was recently realised by a diffusion MRI technique known as neurite orientation dispersion and density imaging (NODDI). However in its current form NODDI cannot estimate anisotropic orientation dispersion, which is widespread in the brain due to common fanning and bending of neurites. This work proposes Bingham-NODDI that extends the NODDI formalism to address this limitation...
June 2016: NeuroImage
Koji Kamagata, Taku Hatano, Shigeki Aoki
No abstract text is available yet for this article.
2016: Expert Review of Neurotherapeutics
Chandana Kodiweera, Andrew L Alexander, Jaroslaw Harezlak, Thomas W McAllister, Yu-Chien Wu
Microstructural changes in human brain white matter of young to middle-aged adults were studied using advanced diffusion Magnetic Resonance Imaging (dMRI). Multiple shell diffusion-weighted data were acquired using the Hybrid Diffusion Imaging (HYDI). The HYDI method is extremely versatile and data were analyzed using Diffusion Tensor Imaging (DTI), Neurite Orientation Dispersion and Density Imaging (NODDI), and q-space imaging approaches. Twenty-four females and 23 males between 18 and 55years of age were included in this study...
March 2016: NeuroImage
Laurel S Morris, Prantik Kundu, Nicholas Dowell, Daisy J Mechelmans, Pauline Favre, Michael A Irvine, Trevor W Robbins, Nathaniel Daw, Edward T Bullmore, Neil A Harrison, Valerie Voon
Discrete yet overlapping frontal-striatal circuits mediate broadly dissociable cognitive and behavioural processes. Using a recently developed multi-echo resting-state functional MRI (magnetic resonance imaging) sequence with greatly enhanced signal compared to noise ratios, we map frontal cortical functional projections to the striatum and striatal projections through the direct and indirect basal ganglia circuit. We demonstrate distinct limbic (ventromedial prefrontal regions, ventral striatum - VS, ventral tegmental area - VTA), motor (supplementary motor areas - SMAs, putamen, substantia nigra) and cognitive (lateral prefrontal and caudate) functional connectivity...
January 2016: Cortex; a Journal Devoted to the Study of the Nervous System and Behavior
Peter Kochunov, Mao Fu, Katie Nugent, Susan N Wright, Xiaoming Du, Florian Muellerklein, Mary Morrissey, George Eskandar, Dinesh K Shukla, Neda Jahanshad, Paul M Thompson, Binish Patel, Teodor T Postolache, Kevin A Strauss, Alan R Shuldiner, Braxton D Mitchell, L Elliot Hong
INTRODUCTION: Diffusion weighted imaging (DWI) methods can noninvasively ascertain cerebral microstructure by examining pattern and directions of water diffusion in the brain. We calculated heritability for DWI parameters in cerebral white (WM) and gray matter (GM) to study the genetic contribution to the diffusion signals across tissue boundaries. METHODS: Using Old Order Amish (OOA) population isolate with large family pedigrees and high environmental homogeneity, we compared the heritability of measures derived from three representative DWI methods targeting the corpus callosum WM and cingulate gyrus GM: diffusion tensor imaging (DTI), the permeability-diffusivity (PD) model, and the neurite orientation dispersion and density imaging (NODDI) model...
February 2016: Human Brain Mapping
Koji Kamagata, Taku Hatano, Ayami Okuzumi, Yumiko Motoi, Osamu Abe, Keigo Shimoji, Kouhei Kamiya, Michimasa Suzuki, Masaaki Hori, Kanako K Kumamaru, Nobutaka Hattori, Shigeki Aoki
OBJECTIVES: We used neurite orientation dispersion and density imaging (NODDI) to quantify changes in the substantia nigra pars compacta (SNpc) and striatum in Parkinson disease (PD). METHODS: Diffusion-weighted magnetic resonance images were acquired from 58 PD patients and 36 age- and sex-matched controls. The intracellular volume fraction (Vic), orientation dispersion index (OD), and isotropic volume fraction (Viso) of the basal ganglia were compared between groups...
August 2016: European Radiology
Qiuting Wen, Douglas A C Kelley, Suchandrima Banerjee, Janine M Lupo, Susan M Chang, Duan Xu, Christopher P Hess, Sarah J Nelson
Recent technological progress in the multiband echo planer imaging (MB EPI) technique enables accelerated MR diffusion weighted imaging (DWI) and allows whole brain, multi-b-value diffusion imaging to be acquired within a clinically feasible time. However, its applications at 7 T have been limited due to B1 field inhomogeneity and increased susceptibility artifact. It is an ongoing debate whether DWI at 7 T can be performed properly in patients, and a systematic SNR comparison for multiband spin-echo EPI between 3 T and 7 T has not been methodically studied...
2015: NeuroImage: Clinical
N Colgan, B Siow, J M O'Callaghan, I F Harrison, J A Wells, H E Holmes, O Ismail, S Richardson, D C Alexander, E C Collins, E M Fisher, R Johnson, A J Schwarz, Z Ahmed, M J O'Neill, T K Murray, H Zhang, M F Lythgoe
Increased hyperphosphorylated tau and the formation of intracellular neurofibrillary tangles are associated with the loss of neurons and cognitive decline in Alzheimer's disease, and related neurodegenerative conditions. We applied two diffusion models, diffusion tensor imaging (DTI) and neurite orientation dispersion and density imaging (NODDI), to in vivo diffusion magnetic resonance images (dMRI) of a mouse model of human tauopathy (rTg4510) at 8.5months of age. In grey matter regions with the highest degree of tau burden, microstructural indices provided by both NODDI and DTI discriminated the rTg4510 (TG) animals from wild type (WT) controls; however only the neurite density index (NDI) (the volume fraction that comprises axons or dendrites) from the NODDI model correlated with the histological measurements of the levels of hyperphosphorylated tau protein...
January 15, 2016: NeuroImage
Yi Shin Chang, Julia P Owen, Nicholas J Pojman, Tony Thieu, Polina Bukshpun, Mari L J Wakahiro, Jeffrey I Berman, Timothy P L Roberts, Srikantan S Nagarajan, Elliott H Sherr, Pratik Mukherjee
Diffusion tensor imaging (DTI) studies of human brain development have consistently shown widespread, but nonlinear increases in white matter anisotropy through childhood, adolescence, and into adulthood. However, despite its sensitivity to changes in tissue microstructure, DTI lacks the specificity to disentangle distinct microstructural features of white and gray matter. Neurite orientation dispersion and density imaging (NODDI) is a recently proposed multi-compartment biophysical model of brain microstructure that can estimate non-collinear properties of white matter, such as neurite orientation dispersion index (ODI) and neurite density index (NDI)...
2015: PloS One
Farshid Sepehrband, Kristi A Clark, Jeremy F P Ullmann, Nyoman D Kurniawan, Gayeshika Leanage, David C Reutens, Zhengyi Yang
We examined whether quantitative density measures of cerebral tissue consistent with histology can be obtained from diffusion magnetic resonance imaging (MRI). By incorporating prior knowledge of myelin and cell membrane densities, absolute tissue density values were estimated from relative intracellular and intraneurite density values obtained from diffusion MRI. The NODDI (neurite orientation distribution and density imaging) technique, which can be applied clinically, was used. Myelin density estimates were compared with the results of electron and light microscopy in ex vivo mouse brain and with published density estimates in a healthy human brain...
September 2015: Human Brain Mapping
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