Sensitive and specific antemortem biomarkers of neurodegenerative disease and dementia
are crucial to the pursuit of effective treatments, required both to reliably identify disease and …

Fractal geometry has recently been proposed as a useful tool for characterizing the
complexity of the brain cortex, which is likely to derive from the recurrence of sulci–gyri …

Alzheimer's Disease (AD) is considered one of the most diseases that much prevalent
among elderly people all over the world. AD is an incurable neurodegenerative disease …

Progressive loss of neurons in a specific brain area is one of the manifestations of
Alzheimer's disease (AD). Much effort has been devoted to investigating brain atrophy and …

Background Alzheimer's disease (AD) is associated with marked brain atrophy. While
commonly used structural MRI imaging methods do not account for the complexity of human …

Introduction: Novel post-processing methods allow not only for assessment of brain
volumetry or cortical thickness based on magnetic resonance imaging (MRI) but also for …

Both the APOE ε4 and TOMM40 rs10524523 (“523”) genes have been associated with risk
for Alzheimer's disease (AD) and neuroimaging biomarkers of AD. No studies have …

We present a diffeomorphic image registration algorithm to learn spatial transformations
between pairs of images to be registered using fully convolutional networks (FCNs) under a …

Objective: In recent years, researchers and neuroscientists have begun to use a variety of
nonlinear techniques for analyzing neurophysiologic signals derived from fMRI, MEG, and …

Objective: Dementia is a broad term referring to a decline in problem-solving abilities,
language skills, memory, and other cognitive functions to a degree that it significantly …