Abnormal white matter changes in Alzheimer's disease based on diffusion tensor imaging: A systematic review
Y Chen, Y Wang, Z Song, Y Fan, T Gao… - Ageing Research Reviews, 2023 - Elsevier
Alzheimer's disease (AD) is a degenerative neurological disease in elderly individuals.
Subjective cognitive decline (SCD), mild cognitive impairment (MCI) and further …
Subjective cognitive decline (SCD), mild cognitive impairment (MCI) and further …
Diffusion kurtosis imaging: an emerging technique for evaluating the microstructural environment of the brain
AJ Steven, J Zhuo, ER Melhem - American journal of …, 2014 - Am Roentgen Ray Soc
OBJECTIVE. Diffusion kurtosis imaging is an emerging technique based on the non-
gaussian diffusion of water in biologic systems. The purpose of this article is to introduce and …
gaussian diffusion of water in biologic systems. The purpose of this article is to introduce and …
Depressive symptoms in cognitively unimpaired older adults are associated with lower structural and functional integrity in a frontolimbic network
Subclinical depressive symptoms are associated with increased risk of Alzheimer's disease
(AD), but the brain mechanisms underlying this relationship are still unclear. We aimed to …
(AD), but the brain mechanisms underlying this relationship are still unclear. We aimed to …
MR biomarkers of degenerative brain disorders derived from diffusion imaging
The incidence of neurodegenerative diseases has shown an increasing trend. These
conditions typically cause progressive functional disability. Identification of robust …
conditions typically cause progressive functional disability. Identification of robust …
Diffusion magnetic resonance imaging-based biomarkers for neurodegenerative diseases
There has been an increasing prevalence of neurodegenerative diseases with the rapid
increase in aging societies worldwide. Biomarkers that can be used to detect pathological …
increase in aging societies worldwide. Biomarkers that can be used to detect pathological …
[HTML][HTML] Diffusion kurtosis imaging can efficiently assess the glioma grade and cellular proliferation
R Jiang, J Jiang, L Zhao, J Zhang, S Zhang, Y Yao… - Oncotarget, 2015 - ncbi.nlm.nih.gov
Conventional diffusion imaging techniques are not sufficiently accurate for evaluating glioma
grade and cellular proliferation, which are critical for guiding glioma treatment. Diffusion …
grade and cellular proliferation, which are critical for guiding glioma treatment. Diffusion …
Principles of diffusion kurtosis imaging and its role in early diagnosis of neurodegenerative disorders
A Arab, A Wojna-Pelczar, A Khairnar, N Szabó… - Brain research …, 2018 - Elsevier
Pathology of neurodegenerative diseases can be correlated with intra-neuronal as well as
extracellular changes which lead to neuronal degeneration. The central nervous system …
extracellular changes which lead to neuronal degeneration. The central nervous system …
Precision and accuracy of diffusion kurtosis estimation and the influence of b‐value selection
Diffusion kurtosis imaging (DKI) is an extension of diffusion tensor imaging that accounts for
leading non‐Gaussian diffusion effects. In DKI studies, a wide range of different gradient …
leading non‐Gaussian diffusion effects. In DKI studies, a wide range of different gradient …
[HTML][HTML] Generalization of diffusion magnetic resonance imaging–based brain age prediction model through transfer learning
Brain age prediction models using diffusion magnetic resonance imaging (dMRI) and
machine learning techniques enable individual assessment of brain aging status in healthy …
machine learning techniques enable individual assessment of brain aging status in healthy …
Non-Gaussian analysis of diffusion weighted imaging in head and neck at 3T: a pilot study in patients with nasopharyngeal carcinoma
Purpose To technically investigate the non-Gaussian diffusion of head and neck diffusion
weighted imaging (DWI) at 3 Tesla and compare advanced non-Gaussian diffusion models …
weighted imaging (DWI) at 3 Tesla and compare advanced non-Gaussian diffusion models …