Multivariate pattern analysis (MVPA) has emerged as a powerful method for the analysis of
functional magnetic resonance imaging, electroencephalography and …

A main goal in translational neuroscience is to identify neural correlates of psychopathology
(“biomarkers”) that can be used to facilitate diagnosis, prognosis, and treatment. This goal …

Progress in scientific disciplines is accompanied by standardization of terminology. Network
neuroscience, at the level of macroscale organization of the brain, is beginning to confront …

Reviews and meta-analyses have proved to be fundamental to establish neuroscientific
theories on intelligence. The prediction of intelligence using invivo neuroimaging data and …

Background Many different brain atlases exist that subdivide the human cortex into dozens
or hundreds of regions-of-interest (ROIs). Inconsistency across studies using one or another …

Naturalistic stimuli evoke strong, consistent, and information-rich patterns of brain activity,
and engage large extents of the human brain. They allow researchers to compare highly …

Here, we follow the call to target measurement reliability as a key prerequisite for individual-
level predictions in translational neuroscience by investigating (1) longitudinal reliability at …

Research into the human connectome (ie, all connections in the human brain) with the use
of resting state functional MRI has rapidly increased in popularity in recent years, especially …