Alzheimer's disease (AD) is a neurodegenerative disease characterized by progressive
memory loss along with neuropsychiatric symptoms and a decline in activities of daily life. Its …

Although dementia has been described in ancient texts over many centuries (eg,“Be kind to
your father, even if his mind fail him.”–Old Testament: Sirach 3: 12), our knowledge of its …

Recent critical commentaries unfavorably compare deep learning (DL) with standard
machine learning (SML) approaches for brain imaging data analysis. However, their …

Introduction The overall goal of the Alzheimer's Disease Neuroimaging Initiative (ADNI) is to
validate biomarkers for Alzheimer's disease (AD) clinical trials. ADNI is a multisite …

We review the aspects that uniquely characterize magnetoencephalography (MEG) among
the techniques available to explore and resolve brain function and dysfunction. While …

Recent advances in high-throughput technologies have enabled the profiling of multiple
layers of a biological system, including DNA sequence data (genomics), RNA expression …

Volumetric variations of the human brain are heritable and are associated with many brain-
related complex traits. Here we performed genome-wide association studies (GWAS) of 101 …

We review the genetic risk factors for late-onset Alzheimer's disease (AD) and their role in
AD pathogenesis. More recent advances in understanding of the human genome …

Deep neural networks have led to state-of-the-art results in many medical imaging tasks
including Alzheimer's disease (AD) detection based on structural magnetic resonance …

Abstract The original Human Connectome Project yielded a rich data set on structural and
functional connectivity in a large sample of healthy young adults using improved methods of …