Fixel-Based Analysis Reveals Tau-Related White Matter Changes in Early Stages of Alzheimer’s Disease

Report: Revealing White Matter Changes Associated with Tau in Early Alzheimer’s Disease through Fixel-based Analysis Research Background Alzheimer’s Disease (AD) is generally thought to primarily affect the grey matter (GM), but more and more evidence shows that the white matter (WM) also experiences abnormalities. Current research largely relies o...

Clinical and Genomic-Based Decision Support System to Define the Optimal Timing of Allogeneic Hematopoietic Stem-Cell Transplantation in Patients with Myelodysplastic Syndromes

Clinical and Genomic-Based Decision Support System to Define the Optimal Timing of Allogeneic Hematopoietic Stem-Cell Transplantation in Patients with Myelodysplastic Syndromes

Background Myelodysplastic Syndromes (MDS) are a group of heterogeneous diseases originating from bone marrow hematopoietic stem cells, characterized by reduced blood cell production. Although certain progress in treatment has been made in recent years, allogeneic hematopoietic stem-cell transplantation (HSCT) remains the only potentially curative ...

Self-Supervised Deep Learning-Based Denoising for Diffusion Tensor MRI

Self-Supervised Deep Learning-Based Denoising for Diffusion Tensor MRI

Background Introduction Diffusion Tensor Magnetic Resonance Imaging (DTI) is a widely used neuroimaging technique for imaging the microstructure of brain tissues and white matter tracts. However, noise in Diffusion-Weighted Images (DWI) can reduce the accuracy of microstructural parameters derived from DTI data and also necessitate longer acquisiti...

DeepDTI: High-Fidelity Six-Direction Diffusion Tensor Imaging Using Deep Learning

DeepDTI: High-Fidelity Six-Direction Diffusion Tensor Imaging Using Deep Learning

DeepDTI: High-Fidelity Six-Direction Diffusion Tensor Imaging Using Deep Learning Research Background and Motivation Diffusion Tensor Imaging (DTI) boasts unparalleled advantages in mapping the microstructure and structural connectivity of live human brain tissue. However, traditional DTI techniques require extensive angular sampling, leading to pr...

Routine CSF parameters as predictors of disease course in multiple sclerosis: an MSBase cohort study

Research Report: Predictive Role of Cerebrospinal Fluid Routine Parameters in the Disease Process of Multiple Sclerosis Background Multiple Sclerosis (MS) is characterized by a highly variable and unpredictable disease course. In the diagnosis of MS, cerebrospinal fluid (CSF) analysis is often a standard procedure. However, there has been ongoing d...