Neural systems for error monitoring: recent findings and theoretical perspectives

SF Taylor, ER Stern, WJ Gehring - The Neuroscientist, 2007 - journals.sagepub.com
The Neuroscientist, 2007journals.sagepub.com
Complex behavior requires a flexible system that maintains task performance in the context
of specific goals, evaluating behavioral progress, adjusting behavior as needed, and
adapting to changing contingencies. Generically referred to as performance monitoring, a
key component concerns the identification and correction of differences between an
intended and an executed response (ie, an error). Brain mapping experiments have now
identified the temporal and spatial components of a putative error-processing system in the …
Complex behavior requires a flexible system that maintains task performance in the context of specific goals, evaluating behavioral progress, adjusting behavior as needed, and adapting to changing contingencies. Generically referred to as performance monitoring, a key component concerns the identification and correction of differences between an intended and an executed response (i.e., an error). Brain mapping experiments have now identified the temporal and spatial components of a putative error-processing system in the large-scale networks of the human brain. Most of this work has focused on the medial frontal cortex and an associated electrophysiological component known as the error-related negativity (or error negativity). Although the precise role, or roles, of this region still remain unknown, investigations of error processing have identified a cluster of modules in the medial frontal cortex involved in monitoring/maintaining ongoing behavior and motivating task sets. Other regions include bilateral anterior insula/inferior operculum and lateral prefrontal cortex. Recent work has begun to uncover how individual differences might affect the modules recruited for a task, in addition to the identification of associations between pathological states and aberrant error signals, leading to insights about possible mechanisms of neuropsychiatric illness. NEUROSCIENTIST 13(2):160—172, 2007.
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