The brain is a complex, multiscale dynamical system composed of many interacting regions.
Knowledge of the spatiotemporal organization of these interactions is critical for establishing …

Over the past 20 years, neuroimaging has become a predominant technique in systems
neuroscience. One might envisage that over the next 20 years the neuroimaging of …

There is great interest in estimating brain “networks” from FMRI data. This is often attempted
by identifying a set of functional “nodes”(eg, spatial ROIs or ICA maps) and then conducting …

Linking human behavior to resting-state brain function is a central question in systems
neuroscience. In particular, the functional timescales at which different types of behavioral …

Resting-state functional connectivity is a powerful tool for studying human functional brain
networks. Temporal fluctuations in functional connectivity, ie, dynamic functional connectivity …

A guide to all aspects of experimental design and data analysis for fMRI experiments,
completely revised and updated for the second edition. Functional magnetic resonance …

Using resting‐state functional magnetic resonance imaging, we test the hypothesis that
subjects with post‐traumatic stress disorder (PTSD) are characterized by reduced temporal …

BACKGROUND: Most neuroimaging studies of resting state networks have concentrated on
functional connectivity (FC) based on instantaneous correlation in a single network. In this …

Multivariate neural data provide the basis for assessing interactions in brain networks.
Among myriad connectivity measures, Granger causality (GC) has proven to be statistically …

Segregation of information flow along a dorsally directed pathway for processing object
location and a ventrally directed pathway for processing object identity is well established in …