Results 1 to 10 of about 39,236 (190)

Using high angular resolution diffusion imaging data to discriminate cortical regions. [PDF]

open access: yesPLoS ONE, 2013
Brodmann's 100-year-old summary map has been widely used for cortical localization in neuroscience. There is a pressing need to update this map using non-invasive, high-resolution and reproducible data, in a way that captures individual variability.
Zoltan Nagy   +4 more
doaj   +12 more sources

Multi-view fusion of diffusion MRI microstructural models: a preterm birth study [PDF]

open access: yesFrontiers in Neuroscience
ObjectiveHigh Angular Resolution Diffusion Imaging (HARDI) models have emerged as a valuable tool for investigating microstructure with a higher degree of detail than standard diffusion Magnetic Resonance Imaging (dMRI).
Rosella Trò   +10 more
doaj   +2 more sources

Test-Retest Reliability of Diffusion Measures Extracted Along White Matter Language Fiber Bundles Using HARDI-Based Tractography

open access: yesFrontiers in Neuroscience, 2019
High angular resolution diffusion imaging (HARDI)-based tractography has been increasingly used in longitudinal studies on white matter macro- and micro-structural changes in the language network during language acquisition and in language impairments ...
Mariem Boukadi   +2 more
exaly   +3 more sources

Evidence for direct dopaminergic connections between substantia nigra pars compacta and thalamus in young healthy humans [PDF]

open access: yesFrontiers in Neural Circuits
The substantia nigra pars compacta (SNc), one of the main dopaminergic nuclei of the brain, exerts a regulatory function on the basal ganglia circuitry via the nigro-striatal pathway but its possible dopaminergic innervation of the thalamus has been only
Giovanni Cirillo   +5 more
doaj   +2 more sources

Improving Fiber Alignment in HARDI by Combining Contextual PDE Flow with Constrained Spherical Deconvolution [PDF]

open access: yesPLoS ONE, 2015
We propose two strategies to improve the quality of tractography results computed from diffusion weighted magnetic resonance imaging (DW-MRI) data.
Remco Duits
exaly   +9 more sources

Multilevel Deficiency of White Matter Connectivity Networks in Alzheimer’s Disease: A Diffusion MRI Study with DTI and HARDI Models

open access: yesNeural Plasticity, 2016
Alzheimer’s disease (AD) is the most common form of dementia in elderly people. It is an irreversible and progressive brain disease. In this paper, we utilized diffusion-weighted imaging (DWI) to detect abnormal topological organization of white matter ...
Feng Shi, Pew-Thian Yap, Chong-Yaw Wee
exaly   +2 more sources

Clustering of Whole-Brain White Matter Short Association Bundles Using HARDI Data

open access: yesFrontiers in Neuroinformatics, 2017
Human brain connectivity is extremely complex and variable across subjects. While long association and projection bundles are stable and have been deeply studied, short association bundles present higher intersubject variability, and few studies have ...
Miguel Guevara   +2 more
exaly   +3 more sources

Choice as a stylistic phenomenon of meter and rhyme in the poetry of Ahmad Hardi

open access: yesZanco Journal of Humanity Sciences, 2022
Because the new poets had a high level of culture and lived in the reality of their society, they were aware of all the changes and influences that took place in the world of literature in general and poetry in particular, so they pushed poets in ...
Lanja Kareem Fattah, Nawzad Waqas SAEED
doaj   +1 more source

Optic radiation fiber tractography in glioma patients based on high angular resolution diffusion imaging with compressed sensing compared with diffusion tensor imaging - initial experience. [PDF]

open access: yesPLoS ONE, 2013
OBJECTIVE: Up to now, fiber tractography in the clinical routine is mostly based on diffusion tensor imaging (DTI). However, there are known drawbacks in the resolution of crossing or kissing fibers and in the vicinity of a tumor or edema.
Daniela Kuhnt   +4 more
doaj   +1 more source

Advanced Analysis of Diffusion Tensor Imaging Along With Machine Learning Provides New Sensitive Measures of Tissue Pathology and Intra-Lesion Activity in Multiple Sclerosis

open access: yesFrontiers in Neuroscience, 2021
Tissue pathology in multiple sclerosis (MS) is highly complex, requiring multi-dimensional analysis. In this study, our goal was to test the feasibility of obtaining high angular resolution diffusion imaging (HARDI) metrics through single-shell modeling ...
Olayinka Oladosu   +12 more
doaj   +1 more source

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