Network neuroscience has emerged as a leading method to study brain connectivity. The
success of these investigations is dependent not only on approaches to accurately map …

Graph models of the brain hold great promise as a framework to study functional and
structural brain connectivity across scales and species. The network-based statistic (NBS) is …

The concept of cognitive reserve (CR) originated from discrepancies between the degree of
brain pathology and the severity of clinical manifestations. CR has been characterized …

Introduction Functional connectivity (FC) is the correlation between brain regions' activities,
studied through neuroimaging techniques like fMRI. It helps researchers understand brain …

Although we must prioritize the processing of task-relevant information to navigate life, our
ability to do so fluctuates across time. Previous work has identified fMRI functional …

Objective Traumatic anosmia is a common disorder following head injury; however, little is
known regarding its neural basis and influence on the functional networks. Therefore, we …

Deep neural networks (DNN) are increasingly being used in neuroimaging research for the
diagnosis of brain disorders and understanding of human brain. Despite their impressive …

Background and Objectives Several clinical and neuroimaging biomarkers have been
proposed to identify individuals with Parkinson disease (PD) who are at risk for ongoing …

Persistent homology offers a powerful tool for extracting hidden topological signals from
brain networks. It captures the evolution of topological structures across multiple scales …

Alzheimer's disease (AD) is the most common type of dementia in the elderly with no
effective treatment currently. Recent studies of noninvasive neuroimaging, resting‐state …