Functional brain images are rich and noisy data that can capture indirect signatures of
neural activity underlying cognition in a given experimental setting. Can data mining …

Objective: Multi-modal functional magnetic resonance imaging (fMRI) can be used to make
predictions about individual behavioral and cognitive traits based on brain connectivity …

Although both resting and task-induced functional connectivity (FC) have been used to
characterize the human brain and cognitive abilities, the potential of task-induced FCs in …

Individual people differ in their ability to reason, solve problems, think abstractly, plan and
learn. A reliable measure of this general ability, also known as intelligence, can be derived …

A major goal of human neuroscience is to relate differences in brain function to differences
in behavior across people. Recent work has established that whole-brain functional …

Functional brain network analysis has become one principled way of revealing informative
organization architectures in healthy brains, and providing sensitive biomarkers for …

Resting-state functional connectivity has provided substantial insight into intrinsic brain
network organization, yet the functional importance of task-related change from that intrinsic …

Resting-state and task-based functional connectivity matrices, or connectomes, are powerful
predictors of individual differences in phenotypic measures. However, most of the current …

General cognitive ability (GCA) refers to a trait‐like ability that contributes to performance
across diverse cognitive tasks. Identifying brain‐based markers of GCA has been a …

Dynamic functional connectivity (DFC) aims to maximize resolvable information from
functional brain scans by considering temporal changes in network structure. Recent work …