Discoveries over the past two decades demonstrate that regions distributed throughout the
association cortex, often called the default network, are suppressed during tasks that …

Abstract Ultra High Field (UHF) MRI requires improved gradient and shim performance to
fully realize the promised gains (SNR as well as spatial, spectral, diffusion resolution) that …

Vicarious traumatization (VT), a negative reaction to witnessing others' trauma, has been
experienced by some people during the COVID-19 pandemic, and can lead to mental health …

Background There is increasing interest in identifying factors to predict posttraumatic growth
(PTG), a positive psychological response following traumatic events (eg, the COVID-19 …

Dementia causes a substantial global economic burden, but effective treatment is lacking.
Recently, studies have revealed that gamma-band waves of electrical brain activity …

The exploration of brain networks with resting-state fMRI (rs-fMRI) combined with graph
theoretical approaches has become popular, with the perspective of finding network graph …

Resting-state functional MRI (R-fMRI) studies have demonstrated widespread alterations in
brain function in patients with major depressive disorder (MDD). However, a clear and …

Alzheimer's disease (AD) is the most common type of neurodegenerative disease and a
health challenge with major social and economic consequences. In this review, we discuss …

It is hypothesized that brain network abnormalities in autism spectrum disorder (ASD) reflect
local overconnectivity and long-range underconnectivity. However, this is not a consistent …

Background Data-driven approaches can capture behavioral and biological variation
currently unaccounted for by contemporary diagnostic categories, thereby enhancing the …