Literature DB >> 18545266

A framework for studying the neurobiology of value-based decision making.

Antonio Rangel1, Colin Camerer, P Read Montague.   

Abstract

Neuroeconomics is the study of the neurobiological and computational basis of value-based decision making. Its goal is to provide a biologically based account of human behaviour that can be applied in both the natural and the social sciences. This Review proposes a framework to investigate different aspects of the neurobiology of decision making. The framework allows us to bring together recent findings in the field, highlight some of the most important outstanding problems, define a common lexicon that bridges the different disciplines that inform neuroeconomics, and point the way to future applications.

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Year:  2008        PMID: 18545266      PMCID: PMC4332708          DOI: 10.1038/nrn2357

Source DB:  PubMed          Journal:  Nat Rev Neurosci        ISSN: 1471-003X            Impact factor:   34.870


  111 in total

1.  Prefrontal, parietal, and temporal cortex networks underlie decision-making in the presence of uncertainty.

Authors:  M P Paulus; N Hozack; B Zauscher; J E McDowell; L Frank; G G Brown; D L Braff
Journal:  Neuroimage       Date:  2001-01       Impact factor: 6.556

2.  Tracking the hemodynamic responses to reward and punishment in the striatum.

Authors:  M R Delgado; L E Nystrom; C Fissell; D C Noll; J A Fiez
Journal:  J Neurophysiol       Date:  2000-12       Impact factor: 2.714

3.  Neural correlates of a decision in the dorsolateral prefrontal cortex of the macaque.

Authors:  J N Kim; M N Shadlen
Journal:  Nat Neurosci       Date:  1999-02       Impact factor: 24.884

Review 4.  Parallel circuits mediating distinct emotional coping reactions to different types of stress.

Authors:  K A Keay; R Bandler
Journal:  Neurosci Biobehav Rev       Date:  2001-12       Impact factor: 8.989

Review 5.  Opponent interactions between serotonin and dopamine.

Authors:  Nathaniel D Daw; Sham Kakade; Peter Dayan
Journal:  Neural Netw       Date:  2002 Jun-Jul

6.  Prediction of immediate and future rewards differentially recruits cortico-basal ganglia loops.

Authors:  Saori C Tanaka; Kenji Doya; Go Okada; Kazutaka Ueda; Yasumasa Okamoto; Shigeto Yamawaki
Journal:  Nat Neurosci       Date:  2004-07-04       Impact factor: 24.884

7.  Addiction as a computational process gone awry.

Authors:  A David Redish
Journal:  Science       Date:  2004-12-10       Impact factor: 47.728

Review 8.  A computational model of craving and obsession.

Authors:  A David Redish; Adam Johnson
Journal:  Ann N Y Acad Sci       Date:  2007-05       Impact factor: 5.691

Review 9.  A neural substrate of prediction and reward.

Authors:  W Schultz; P Dayan; P R Montague
Journal:  Science       Date:  1997-03-14       Impact factor: 47.728

10.  Activation of the human orbitofrontal cortex to a liquid food stimulus is correlated with its subjective pleasantness.

Authors:  M L Kringelbach; J O'Doherty; E T Rolls; C Andrews
Journal:  Cereb Cortex       Date:  2003-10       Impact factor: 5.357

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  655 in total

1.  Value is in the eye of the beholder: early visual cortex codes monetary value of objects during a diverted attention task.

Authors:  Andrew S Persichetti; Geoffrey K Aguirre; Sharon L Thompson-Schill
Journal:  J Cogn Neurosci       Date:  2014-11-12       Impact factor: 3.225

2.  Representations of appetitive and aversive information in the primate orbitofrontal cortex.

Authors:  Sara E Morrison; C Daniel Salzman
Journal:  Ann N Y Acad Sci       Date:  2011-12       Impact factor: 5.691

3.  Neural responses to unattended products predict later consumer choices.

Authors:  Anita Tusche; Stefan Bode; John-Dylan Haynes
Journal:  J Neurosci       Date:  2010-06-09       Impact factor: 6.167

4.  The inherent reward of choice.

Authors:  Lauren A Leotti; Mauricio R Delgado
Journal:  Psychol Sci       Date:  2011-09-19

5.  The neuroeconomics of alcohol demand: an initial investigation of the neural correlates of alcohol cost-benefit decision making in heavy drinking men.

Authors:  James MacKillop; Michael T Amlung; John Acker; Joshua C Gray; Courtney L Brown; James G Murphy; Lara A Ray; Lawrence H Sweet
Journal:  Neuropsychopharmacology       Date:  2014-03-03       Impact factor: 7.853

6.  Value-based decision making under uncertainty in hoarding and obsessive- compulsive disorders.

Authors:  Helen Pushkarskaya; David Tolin; Lital Ruderman; Daniel Henick; J MacLaren Kelly; Christopher Pittenger; Ifat Levy
Journal:  Psychiatry Res       Date:  2017-08-24       Impact factor: 3.222

7.  Risky decision making from childhood through adulthood: Contributions of learning and sensitivity to negative feedback.

Authors:  Kathryn L Humphreys; Eva H Telzer; Jessica Flannery; Bonnie Goff; Laurel Gabard-Durnam; Dylan G Gee; Steve S Lee; Nim Tottenham
Journal:  Emotion       Date:  2015-09-21

8.  Four core properties of the human brain valuation system demonstrated in intracranial signals.

Authors:  Alizée Lopez-Persem; Julien Bastin; Mathilde Petton; Raphaëlle Abitbol; Katia Lehongre; Claude Adam; Vincent Navarro; Sylvain Rheims; Philippe Kahane; Philippe Domenech; Mathias Pessiglione
Journal:  Nat Neurosci       Date:  2020-04-13       Impact factor: 24.884

9.  Diminished single-stimulus response in vmPFC to favorite people in children diagnosed with Autism Spectrum Disorder.

Authors:  Kenneth T Kishida; Josepheen De Asis-Cruz; Diane Treadwell-Deering; Brittany Liebenow; Michael S Beauchamp; P Read Montague
Journal:  Biol Psychol       Date:  2019-04-30       Impact factor: 3.251

10.  Affective value and associative processing share a cortical substrate.

Authors:  Amitai Shenhav; Lisa Feldman Barrett; Moshe Bar
Journal:  Cogn Affect Behav Neurosci       Date:  2013-03       Impact factor: 3.282

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