Quantifying the microstructural and macrostructural geometrical features of the human
brain's connections is necessary for understanding normal aging and disease. Here, we …

Background Numerous neuroimaging studies have reported that Alzheimer's disease (AD)
spectrum have been linked to alterations in intrinsic functional activity and cortical thickness …

It is estimated that short association fibers running immediately beneath the cortex may
make up as much as 60% of the total white matter volume. However, these have been …

The interplay among neuropathological mechanisms underlying Alzheimer's disease (AD),
as neuroinflammation and amyloid-beta (Aβ), as well their impact on neuronal function …

Using two imaging modalities, that is, Pittsburgh compound B (PiB) positron emission
tomography (PET) and diffusion tensor imaging (DTI) the present study tested associations …

Background Neuroinflammation is a hallmark of the Alzheimer's disease (AD) pathogenic
process. Cortisol dysregulation may increase AD risk and is related to brain atrophy. This …

Background: Machine learning is a promising tool for biomarker-based diagnosis of
Alzheimer's disease (AD). Performing multimodal feature selection and studying the …

Background: Investigation of neural response patterns along the entire network of
functionally defined object recognition ventral stream regions in Alzheimer's disease (AD) is …

Alzheimer's disease is the most common form of dementia worldwide, accounting for 60–
70% of diagnosed cases. According to the current understanding of molecular …

Introduction Chronic neuroinflammatory events have been implicated in the pathophysiology
of neurodegenerative conditions but no studies have directly examined the …