The basis of anisotropic water diffusion in the nervous system – a technical review

By Christian Beaulieu. NMR in Biomedicine, 2002

1,274 citations recorded by the source corpus.

Subfields: Pediatrics, Perinatology and Child Health, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/074ef7377bcd73bf61d9dd6e4f02a78fd5454017

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In Pediatrics, Perinatology and Child Health

In Radiology, Nuclear Medicine and Imaging

Citations in the corpus

Anatomical Properties of the Arcuate Fasciculus Predict Phonological and Reading Skills in Children (2011, positive): “In general, diffusivity varies as a function of geometric properties (fiber direction coherence) and the packing density of axons (Stikov et al., 2011; Beaulieu, 2002).”
Multi-tissue constrained spherical deconvolution for improved analysis of multi-shell diffusion MRI data (2014, neutral): “The degree of directionality may provide an indirect measure of the ‘integrity’ or ‘density’ of the underlying tissue (Beaulieu, 2002; Assaf and Pasternak, 2008).”
Diffusion Tensor Imaging (DTI)-based White Matter Mapping in Brain Research: A Review (2007, background): “Experimental evidence points to non-Gaussian diffusion in white matter, although this becomes apparent only at nonconventional experimental conditions (b value> 2,500 s/mm(2)) (Assaf and Cohen 2000; Beaulieu 2002; Assaf and Cohen 1998; Cohen and Assaf 2002).”
Multimodal population brain imaging in the UK Biobank prospective epidemiological study (2016, positive): “Diffusion MRI (Fig 2) reflects the random diffusion of water molecules, which is affected by the microscopic structure of tissue14, enabling us to infer the local density of cellular compartments in tissue (e.g. neurites).”
Age-related differences in white matter microstructure: Region-specific patterns of diffusivity (2010, background): “Another reason for reduced AD and MD is increased density of cellular membranes, for instance of glial cells, that restrict the freedom of diffusion (Beaulieu, 2002).”
White matter characterization with diffusional kurtosis imaging (2011, background): “…scale is very sensitive to the microstructure of neural tissue, being strongly affected by the number, orientation and permeability of barriers (e.g. myelin) and the presence of various cell types and organelles (e.g. neurons, dendrites, axons, neurofilaments and microtubules) (Beaulieu, 2002).”
The Development of Brain White Matter Microstructure (2018, background): “, 2002, 2003), but also show that anisotropy is present in the absence of myelin (Beaulieu, 2002; Beaulieu and Allen, 1994).”
Regional DTI differences in multiple sclerosis patients (2009, positive): “However FA lacks specificity because various pathophysiological mechanisms may result in a decrease (Beaulieu, 2002).”
Regularized, fast, and robust analytical Q‐ball imaging (2007, neutral): “4π ( − m)! ( + m)! P m (cos θ )e imφ , [2]”
Great Expectations: Using Whole-Brain Computational Connectomics for Understanding Neuropsychiatric Disorders (2014, background): “In humans, this description is typically supported by the use of diffusion weighted/tensor imaging (DWI/DTI), which measures the constraining of white-matter fiber tracts by the diffusion of water molecules, typically on a scale of millimetres (Basser and Pierpaoli, 1996; Beaulieu, 2002).”
Acquisition and voxelwise analysis of multi-subject diffusion data with Tract-Based Spatial Statistics (2007, background): “Variation in FA in white matter reflects multiple factors, including myelination, axon density, axonal membrane integrity, axon diamete”
Assessment of the early organization and maturation of infants' cerebral white matter fiber bundles: A feasibility study using quantitative diffusion tensor imaging and tractography (2006, neutral): “However, the origins of water diffusion anisotropy in DTI are still debated (for review Beaulieu, 2002) since it exists in ''premyelinating states'' (Wimberger et al., 1995; Huppi et al., 1998a; Prayer et al., 2001) or in non-myelinated nerves (Beaulieu and Allen, 1994; Ono et al., 1995; Gulani et…”
A hitchhiker's guide to diffusion tensor imaging (2012, background): “As a ﬁnal take-home message, WM integrity assumptions must always be made with extreme caution (Beaulieu, 2002; Jones et al., 2012).”
Partial volume effect as a hidden covariate in DTI analyses (2011, background): “In brain white matter (WM), diffusion of water is less hindered along than perpendicular to axons, making the local diffusion dependent on local microstructure (Beaulieu, 2002).”
Cognitive processing speed and the structure of white matter pathways: Convergent evidence from normal variation and lesion studies (2008, positive): “In order to investigate the relationship between cognitive speed of processing and white matter organization, we first examined the relation between performance on the Digit–Symbol test and diffusion tensor imaging (DTI) of white matter, a technique which makes possible in vivo exploration of micros”