Mild Cognitive Impairment (MCI) is a clinical syndrome characterized by a moderate decline
in one or more cognitive functions with a preserved autonomy in daily life activities. MCI …

Graph theoretical approach has proved an effective tool to understand, characterize, and
quantify the complex brain network. However, much less attention has been paid to methods …

Background People with mild cognitive impairment (MCI) experience a loss of cognitive
functions, whose mechanism is characterized by aberrant structure‒function (SC-FC) …

The oscillatory patterns of electroencephalography (EEG), during resting states, are
informative and helpful in understanding the functional states of brain network and their …

Alzheimer's disease (AD) is a progressive form of dementia marked by cognitive and
memory deficits, estimated to affect∼ 5.7 million Americans and account for∼ $277 billion in …

Abstract Background Animal models of Alzheimer's disease (AD) are essential to
understanding the disease progression and to development of early biomarkers. Because …

Graph-theoretic metrics derived from neuroimaging data have been heralded as powerful
tools for uncovering neural mechanisms of psychological traits, psychiatric disorders, and …

Recent graph-theoretical studies of Parkinson's disease (PD) have examined alterations in
the global properties of the brain structural connectome; however, reported alterations are …

Variability of neural signaling is an important index of healthy brain functioning, as is signal
complexity, which relates to information processing capacity. Alterations in variability and …

There is convincing evidence from rodent studies suggesting that prenatal infections affect
the offspring's brain, but evidence in humans is limited. Here, we assessed the occurrence of …