Understanding neural network dysfunction in neurodegenerative disease is imperative to
effectively develop network-modulating therapies. In Alzheimer's disease (AD), cognitive …

The purpose of our study was to investigate whether the whole‐brain functional connectivity
pattern exhibits disease severity‐related alterations in patients with Alzheimer's disease …

Although anomalies in the topological architecture of whole-brain connectivity have been
found to be associated with Alzheimer's disease (AD), our understanding about the …

Background/Purpose: Brain function changes with Alzheimer's disease (AD) progression.
Evaluating those changes longitudinally is important to understand the complex …

The common and specific involvement of brain networks in clinical variants of Alzheimer's
disease (AD) is not well understood. We performed task-free (“resting-state”) functional …

Alzheimer's disease (AD) is associated with abnormal resting-state network (RSN)
architecture of the default mode network (DMN), the dorsal attention network (DAN), the …

Pathology at preclinical and prodromal stages of Alzheimer's disease (AD) may manifest
itself as measurable functional change in neuronal networks earlier than detectable …

Background Both subjective cognitive decline (SCD) and amnestic mild cognitive
impairment (aMCI) have a high risk of progression to Alzheimer's disease (AD). While most …

Alzheimer's disease (AD) has a long preclinical phase in which amyloid and tau cerebral
pathology accumulate without producing cognitive symptoms. Resting state functional …

Alzheimer's disease (AD) patients and those with high-risk mild cognitive impairment are
increasingly considered to have dysfunction syndromes. Large-scale network studies based …