Literature DB >> 19923294

How humans integrate the prospects of pain and reward during choice.

Deborah Talmi1, Peter Dayan, Stefan J Kiebel, Chris D Frith, Raymond J Dolan.   

Abstract

The maxim "no pain, no gain" summarizes scenarios in which an action leading to reward also entails a cost. Although we know a substantial amount about how the brain represents pain and reward separately, we know little about how they are integrated during goal-directed behavior. Two theoretical models might account for the integration of reward and pain. An additive model specifies that the disutility of costs is summed linearly with the utility of benefits, whereas an interactive model suggests that cost and benefit utilities interact so that the sensitivity to benefits is attenuated as costs become increasingly aversive. Using a novel task that required integration of physical pain and monetary reward, we examined the mechanism underlying cost-benefit integration in humans. We provide evidence in support of an interactive model in behavioral choice. Using functional neuroimaging, we identify a neural signature for this interaction such that, when the consequences of actions embody a mixture of reward and pain, there is an attenuation of a predictive reward signal in both ventral anterior cingulate cortex and ventral striatum. We conclude that these regions subserve integration of action costs and benefits in humans, a finding that suggests a cross-species similarity in neural substrates that implement this function and illuminates mechanisms that underlie altered decision making under aversive conditions.

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Year:  2009        PMID: 19923294      PMCID: PMC2948535          DOI: 10.1523/JNEUROSCI.2026-09.2009

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  39 in total

Review 1.  Calculating utility: preclinical evidence for cost-benefit analysis by mesolimbic dopamine.

Authors:  Paul E M Phillips; Mark E Walton; Thomas C Jhou
Journal:  Psychopharmacology (Berl)       Date:  2006-11-22       Impact factor: 4.530

2.  Uncertainty-based competition between prefrontal and dorsolateral striatal systems for behavioral control.

Authors:  Nathaniel D Daw; Yael Niv; Peter Dayan
Journal:  Nat Neurosci       Date:  2005-11-06       Impact factor: 24.884

3.  Optimal EPI parameters for reduction of susceptibility-induced BOLD sensitivity losses: a whole-brain analysis at 3 T and 1.5 T.

Authors:  Nikolaus Weiskopf; Chloe Hutton; Oliver Josephs; Ralf Deichmann
Journal:  Neuroimage       Date:  2006-09-07       Impact factor: 6.556

Review 4.  The neurobiology of punishment.

Authors:  Ben Seymour; Tania Singer; Ray Dolan
Journal:  Nat Rev Neurosci       Date:  2007-04       Impact factor: 34.870

5.  Nucleus accumbens dopamine depletions make rats more sensitive to high ratio requirements but do not impair primary food reinforcement.

Authors:  J E Aberman; J D Salamone
Journal:  Neuroscience       Date:  1999       Impact factor: 3.590

6.  Involvement of catecholamine neurotransmission in the rat anterior cingulate in effort-related decision making.

Authors:  Judith Schweimer; Simone Saft; Wolfgang Hauber
Journal:  Behav Neurosci       Date:  2005-12       Impact factor: 1.912

7.  Dopamine activity in the nucleus accumbens modulates blocking in fear conditioning.

Authors:  Mihaela D Iordanova; R Frederick Westbrook; A Simon Killcross
Journal:  Eur J Neurosci       Date:  2006-12       Impact factor: 3.386

Review 8.  Behavioral theories and the neurophysiology of reward.

Authors:  Wolfram Schultz
Journal:  Annu Rev Psychol       Date:  2006       Impact factor: 24.137

9.  Reward value coding distinct from risk attitude-related uncertainty coding in human reward systems.

Authors:  Philippe N Tobler; John P O'Doherty; Raymond J Dolan; Wolfram Schultz
Journal:  J Neurophysiol       Date:  2006-11-22       Impact factor: 2.714

10.  Time-series analysis for rapid event-related skin conductance responses.

Authors:  Dominik R Bach; Guillaume Flandin; Karl J Friston; Raymond J Dolan
Journal:  J Neurosci Methods       Date:  2009-08-15       Impact factor: 2.390

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  73 in total

Review 1.  Reconsidering anhedonia in depression: lessons from translational neuroscience.

Authors:  Michael T Treadway; David H Zald
Journal:  Neurosci Biobehav Rev       Date:  2010-07-11       Impact factor: 8.989

2.  Motivation and affective judgments differentially recruit neurons in the primate dorsolateral prefrontal and anterior cingulate cortex.

Authors:  Ken-ichi Amemori; Satoko Amemori; Ann M Graybiel
Journal:  J Neurosci       Date:  2015-02-04       Impact factor: 6.167

3.  The good, the bad and the brain: Neural correlates of appetitive and aversive values underlying decision making.

Authors:  Mathias Pessiglione; Mauricio R Delgado
Journal:  Curr Opin Behav Sci       Date:  2015-08-24

Review 4.  Corticolimbic circuitry in the modulation of chronic pain and substance abuse.

Authors:  Anna M W Taylor
Journal:  Prog Neuropsychopharmacol Biol Psychiatry       Date:  2017-05-10       Impact factor: 5.067

5.  Pervasive competition between threat and reward in the brain.

Authors:  Jong Moon Choi; Srikanth Padmala; Philip Spechler; Luiz Pessoa
Journal:  Soc Cogn Affect Neurosci       Date:  2013-04-01       Impact factor: 3.436

6.  Withholding a Reward-driven Action: Studies of the Rise and Fall of Motor Activation and the Effect of Cognitive Depletion.

Authors:  Scott M Freeman; Adam R Aron
Journal:  J Cogn Neurosci       Date:  2015-10-15       Impact factor: 3.225

Review 7.  [Chronic pain : Perception, reward and neural processing].

Authors:  S Becker; M Diers
Journal:  Schmerz       Date:  2016-10       Impact factor: 1.107

8.  From bad to worse: striatal coding of the relative value of painful decisions.

Authors:  Andrew M Brooks; V S Chandrasekhar Pammi; Charles Noussair; C Monica Capra; Jan B Engelmann; Gregory S Berns
Journal:  Front Neurosci       Date:  2010-10-26       Impact factor: 4.677

9.  Choosing to make an effort: the role of striatum in signaling physical effort of a chosen action.

Authors:  I T Kurniawan; B Seymour; D Talmi; W Yoshida; N Chater; R J Dolan
Journal:  J Neurophysiol       Date:  2010-05-12       Impact factor: 2.714

10.  Cortical and subcortical responses to high and low effective placebo treatments.

Authors:  Stephan Geuter; Falk Eippert; Catherine Hindi Attar; Christian Büchel
Journal:  Neuroimage       Date:  2012-11-28       Impact factor: 6.556

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