Since its inception in 1992, Functional Magnetic Resonance Imaging (fMRI) has become an
indispensible tool for studying cognition in both the healthy and dysfunctional brain. FMRI …

Analytic tools for addressing spontaneous brain activity, as acquired with fMRI during the
“resting-state,” have grown dramatically over the past decade. Along with each new …

Multimodal evidence suggests that brain regions accumulate information over timescales
that vary according to anatomical hierarchy. Thus, these experimentally defined “temporal …

Resting state functional connectivity MRI (fcMRI) is widely used to investigate brain networks
that exhibit correlated fluctuations. While fcMRI does not provide direct measurement of …

Graph neural networks (GNNs) have received increasing interest in the medical imaging
field given their powerful graph embedding ability to characterize the non-Euclidean …

Blood oxygen level dependent (BOLD) spontaneous signals from resting-state (RS) brains
have typically been characterized by low-pass filtered timeseries at frequencies≤ 0.1 Hz …

Studies of resting-state fMRI have shown that blood oxygen level dependent (BOLD) signals
giving rise to temporal correlation across voxels (or regions) are dominated by low …

Resting-state functional MRI (R-fMRI) has emerged as a promising neuroimaging technique
used to identify global hubs of the human brain functional connectome. However, most R …

Parkinson's disease (PD) patients have difficulty in initiating movements. Previous studies
have suggested that the abnormal brain activity may happen not only during performance of …

Advanced neuroimaging techniques have been increasingly applied to the study of preterm
and term infants in an effort to further define the functional cerebral architecture of the …