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 …

Alzheimer's disease (AD) is a degenerative neurological disease in elderly individuals.
Subjective cognitive decline (SCD), mild cognitive impairment (MCI) and further …

Background: Alzheimer's disease (AD) is a common neurodegenerative disease in which
the brain undergoes alterations for decades before symptoms become obvious. Subjective …

Background Graph theory and machine learning have been shown to be effective ways of
classifying different stages of Alzheimer's disease (AD). Most previous studies have only …

Variation in cognitive ability arises from subtle differences in underlying neural architecture.
Understanding and predicting individual variability in cognition from the differences in brain …

The human brain generates a rich repertoire of spatio-temporal activity patterns, which
support a wide variety of motor and cognitive functions. These patterns of activity change …

Recent advances in neuroimaging techniques, such as diffusion tensor imaging (DTI),
represent a crucial resource for structural brain analysis and allow the identification of …

Physiological aging affects brain structure and function impacting morphology, connectivity,
and performance. However, whether some brain connectivity metrics might reflect the age of …

Cognitive intervention includes cognitive stimulation, cognitive training, and cognitive
rehabilitation. This systematic review was performed to re-assess the efficacy of cognitive …

A multivariate analytical strategy may pinpoint the structural connectivity patterns associated
with Alzheimer's disease (AD) pathology in connectome-wide association studies. Diffusion …