Literature DB >> 24382883

Neurophysiology of performance monitoring and adaptive behavior.

Markus Ullsperger, Claudia Danielmeier, Gerhard Jocham.   

Abstract

Successful goal-directed behavior requires not only correct action selection, planning, and execution but also the ability to flexibly adapt behavior when performance problems occur or the environment changes. A prerequisite for determining the necessity, type, and magnitude of adjustments is to continuously monitor the course and outcome of one's actions. Feedback-control loops correcting deviations from intended states constitute a basic functional principle of adaptation at all levels of the nervous system. Here, we review the neurophysiology of evaluating action course and outcome with respect to their valence, i.e., reward and punishment, and initiating short- and long-term adaptations, learning, and decisions. Based on studies in humans and other mammals, we outline the physiological principles of performance monitoring and subsequent cognitive, motivational, autonomic, and behavioral adaptation and link them to the underlying neuroanatomy, neurochemistry, psychological theories, and computational models. We provide an overview of invasive and noninvasive systemic measures, such as electrophysiological, neuroimaging, and lesion data. We describe how a wide network of brain areas encompassing frontal cortices, basal ganglia, thalamus, and monoaminergic brain stem nuclei detects and evaluates deviations of actual from predicted states indicating changed action costs or outcomes. This information is used to learn and update stimulus and action values, guide action selection, and recruit adaptive mechanisms that compensate errors and optimize goal achievement.

Entities:  

Mesh:

Year:  2014        PMID: 24382883     DOI: 10.1152/physrev.00041.2012

Source DB:  PubMed          Journal:  Physiol Rev        ISSN: 0031-9333            Impact factor:   37.312


  167 in total

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2.  Genetic influences on functional connectivity associated with feedback processing and prediction error: Phase coupling of theta-band oscillations in twins.

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3.  Approach, avoidance, and the detection of conflict in the development of behavioral inhibition.

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Journal:  New Ideas Psychol       Date:  2018-08-04

Review 4.  Toward sophisticated basal ganglia neuromodulation: Review on basal ganglia deep brain stimulation.

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Journal:  Neurosci Biobehav Rev       Date:  2015-02-12       Impact factor: 8.989

5.  Cerebellar direct current stimulation enhances on-line motor skill acquisition through an effect on accuracy.

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Journal:  J Neurosci       Date:  2015-02-18       Impact factor: 6.167

6.  An fMRI study of error monitoring in Montessori and traditionally-schooled children.

Authors:  Mary Helen Immordino-Yang; David Sander; Solange Denervaud; Eleonora Fornari; Xiao-Fei Yang; Patric Hagmann
Journal:  NPJ Sci Learn       Date:  2020-07-17

Review 7.  On the Globality of Motor Suppression: Unexpected Events and Their Influence on Behavior and Cognition.

Authors:  Jan R Wessel; Adam R Aron
Journal:  Neuron       Date:  2017-01-18       Impact factor: 17.173

8.  An active inference theory of allostasis and interoception in depression.

Authors:  Lisa Feldman Barrett; Karen S Quigley; Paul Hamilton
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2016-10-10       Impact factor: 6.237

9.  The neural basis of motivational influences on cognitive control.

Authors:  Cameron Parro; Matthew L Dixon; Kalina Christoff
Journal:  Hum Brain Mapp       Date:  2018-08-18       Impact factor: 5.038

10.  How number line estimation skills relate to neural activations in single digit subtraction problems.

Authors:  I Berteletti; G Man; J R Booth
Journal:  Neuroimage       Date:  2014-12-11       Impact factor: 6.556

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