Principal components analysis (PCA) has attracted increasing interest as a tool for
facilitating analysis of high-density event-related potential (ERP) data. While every …

Relationships between neuroimaging measures and behavior provide important clues about
brain function and cognition in healthy and clinical populations. While …

Event-related potentials (ERPs) have been used for decades to study perception, cognition,
emotion, neurological and psychiatric disorders, and lifespan development. ERPs consist of …

Interest in the neuroscience of emotion has increased dramatically over the course of the
last two decades. The rapid growth and popularity, however, have come with a definitional …

Functional magnetic resonance imaging (fMRI) research suggests that the ventral striatum
(VS)/nucleus accumbens, medial prefrontal cortex (mPFC), and broader mesocorticolimbic …

Learning, the foundation of adaptive and intelligent behavior, is based on plastic changes in
neural assemblies, reflected by the modulation of electric brain responses. In infancy …

Event‐related potential studies of reward processing have consistently identified the
feedback negativity (FN), an early neural response that differentiates feedback indicating …

Consistent with the notion that emotional stimuli receive preferential attention and
perceptual processing, many event‐related potential (ERP) components appear sensitive to …

Depression has been characterized in recent years in terms of deficits in positive affect and
an underactive approach-related motivational system. Consistent with this view, behavioral …

Principal components analysis (PCA) can facilitate analysis of event‐related potential (ERP)
components. Geomin, Oblimin, Varimax, Promax, and Infomax (independent components …