... resonance imaging diffusion tensor imaging white matter language Graphical Abstract Graphical Abstract Using a tract-based approach, Broberg et al. report that average diffusion tensor metrics within normal-appearing white matter correlate with spoken language in individuals...

... is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model ( https://dbpia.nl.go.kr/pages/standard-publication-reuse-rights ) Abstract We construct and analyse finite element approximations of the Einstein tensor in dimension . We focus on the setting...

... underwent baseline assessments of clinical measures and glymphatic functions using diffusion tensor imaging analysis along the perivascular space (DTI-ALPS). Thereafter, 22 patients underwent 10 sessions of LF-rTMS over two consecutive weeks, sleep assessments at week 2 and months 1, 2, and 3, and DTI-ALPS...

... least squares-based tensor fitting in combination with the Geman-McClure M-estimator ²² and corrected inter-slice intensity discontinuity weighting terms for pixel-by-pixel outlier rejection. ²³ A multicontrast multiatlas likelihood-fusion algorithm was used to automatically...

... matter abnormalities between individual patients. Methods We used diffusion tensor imaging (DTI) and Neurite Orientation Dispersion Diffusion Imaging (NODDI) to assess white matter injury in 8 posterior fossa tumour patients. A novel one-against-many approach was used by comparing an individual...

...) are related to fiber tract integrity and that this is moderated by polygenic schizophrenia risk (or resilience). Design In a cohort of 346 psychiatrically healthy subjects, we obtained diffusion tensor imaging, schizotypy using O-LIFE (Oxford-Liverpool Inventory of Feelings and Experiences), and polygenic...

... = mean of Dx x proj and Dx x assoc / mean of Dy y proj and Dz z assoc Diffusion tensor imaging data were pre-processed using FSL 6.0.1 (FMRIB Software Library, www.fmrib.ox.ac.uk/fsl ), during which top-up and eddy current...

... in human migraine patients are limited. Here, we studied 60 patients with migraine (55 females, mean ± standard deviation age: 36.28 ± 11.95 years) and 20 age- and sex-matched healthy controls (19 females, age: 35.45 ± 13.30 years) using ultra-high field 7 T diffusion tensor imaging and functional MRI...

... with hippocampal volume and neuropsychological outcomes. Methods In this multicenter randomized phase 3 trial ( NCT01780675 ), small-cell lung cancer (SCLC) patients underwent neuropsychological testing and diffusion tensor imaging (DTI) before, 4 months (33 PCI, 37 HA-PCI) and 1 year (19 PCI, 17 HA-PCI) after...

.... Diffusion tensor imaging White matter microstructure Clinical high risk for psychosis Cross-sectional alteration Longitudinal development Prediction of transition risk O RIGIN A L U N EDITED M AN U SCRIPT A narrative literature review of white matter microstructure in individuals at clinical high risk...

...Lubin Cui; Guiliang Guo; Michael K Ng; Quan Zou; Yushan Qiu where represents the tensor kernel norm and is the degree of punishment that affects sparse structures. (2.3) Because the solution of Equation ( 2.2 ) is an NP-complete problem, the usual strategy is to transform Equation ( 2.2...

... such as functional magnetic resonance imaging (fMRI) and diffusion tensor imaging (DTI), the neural basis of conscious and unconscious visions can be identified. ¹ There is increasing evidence of neuronal pathways sub-serving preserved motion perception in hemianopia: namely, a direct pathway from...

... of the disorder and potentially guiding future therapeutic strategies. restless legs syndrome white matter fibers three-dimensional magnetic resonance imaging diffusion tensor imaging voxel-based morphometry National High Level Hospital Clinical Research Funding 2022-PUMCH-B-112 Yinhua Public Welfare...

... Institute of Child Health and Human Development 10.13039/100009633 K99HD106060 Chen Institute Mass General Hospital Research Scholar Award attention TBI diffusion tensor MRI lesions Graphical Abstract Graphical Abstract Snider et al. report that cortical injury and diminished white...

..., and rheumatoid inflammation Aim of the Work The aim of this study is to evaluate the role of Diffusion tensor images in the detection the changes and abnormalities of median nerve entrapment in cases of carpal tunnel syndrome. Patients and Methods This Cross-sectional study was carried out on 25 Patients...

... forces acting on each NP by analyzing the Maxwell stress tensor at their surfaces, and we account for the reactive drag force using Stokes’ law. These forces are used to simulate the trajectories of the NPs through dynamic equations of motion. Our results demonstrate that, regardless of the initial...

...-based covariance. The introduced class of models provides a unifying platform for both pointwise quantile estimation and prediction of complete trajectories at new times. We investigate the methods numerically in simulations and discuss their application to a diffusion tensor imaging study of multiple...

... of MI by LGE imaging. Abstract Background and Aims Microstructural disturbances underlie dysfunctional contraction and adverse left ventricular (LV) remodelling after ST-elevation myocardial infarction (STEMI). Biphasic diffusion tensor cardiovascular magnetic resonance (DT-CMR) quantifies dynamic...

... inflammation in muscle fibres. This is manifested through an increased apparent diffusion coefficient (ADC), resulting in enhanced sensitivity for detecting inflammation [ 7–9 ]. Diffusion tensor imaging (DTI), a special type of DWI, gauges the anisotropic diffusion characteristics of parallelly arranged fibre...

... Abstract fcae363media1 6364221220112 traumatic brain injury neurodegenerative disease UK Biobank diffusion tensor imaging white matter National Institute of Neurological Disorders and Stroke 10.13039/100000065 U54NS115322 National Health Service Research Scotland Approximately 885 000...