Inter‐hemispheric asymmetries are a common phenomenon of the human brain. Some
evidence suggests that neurodegeneration related to aging and disease may preferentially …

Background: Voxel-based morphometry (VBM) has been widely used to investigate
structural alterations in amnesia mild cognitive impairment (aMCI). However, inconsistent …

While aggregation of neuroimaging datasets from multiple sites and scanners can yield
increased statistical power, it also presents challenges due to systematic scanner effects …

Alzheimer's disease is one of the most common causes of death in today's world. Magnetic
resonance imaging (MRI) provides an efficient and non-invasive approach for diagnosis of …

Previous studies have demonstrated that the use of integrated information from multi-
modalities could significantly improve diagnosis of Alzheimer's Disease (AD). However …

Deep neural networks currently provide the most advanced and accurate machine learning
models to distinguish between structural MRI scans of subjects with Alzheimer's disease and …

Beyond detecting brain lesions or tumors, comparatively little success has been attained in
identifying brain disorders such as Alzheimer's disease (AD), based on magnetic resonance …

Objective: It is well-known that the hippocampus presents significant asymmetry in
Alzheimer's disease (AD) and that difference in volumes between left and right exists and …

Multimodality based methods have shown great advantages in classification of Alzheimer's
disease (AD) and its prodromal stage, that is, mild cognitive impairment (MCI). Recently …

Neurodegenerative brain changes can affect the functional connectivity strength between
nodes of the default-mode network (DMN), which may underlie changes in cognitive …