Literature DB >> 19897790

Aging and the neuroeconomics of decision making: A review.

Stephen B R E Brown1, K Richard Ridderinkhof.   

Abstract

Neuroeconomics refers to a combination of paradigms derived from neuroscience, psychology, and economics for the study of decision making and is an area that has received considerable scientific attention in the recent literature. Using realistic laboratory tasks, researchers seek to study the neurocognitive processes underlying economic decision making and outcome-based decision learning, as well as individual differences in these processes and the social and affective factors that modulate them. To this point, one question has remained largely unanswered: What happens to decision-making processes and their neural substrates during aging? After all, aging is associated with neurocognitive change, which may affect outcome-based decision making. In our study, we use the subjective expected utility model-a well-established decision-making model in economics-as a descriptive framework. After a short survey of the brain areas and neurotransmitter systems associated with outcome-based decision making-and of the effects of aging thereon-we review a number of decision-making studies. Their general data pattern indicates that the decision-making process is changed by age: The elderly perform less efficiently than younger participants, as demonstrated, for instance, by the smaller total rewards that the elderly acquire in lab tasks. These findings are accounted for in terms of age-related deficiencies in the probability and value parameters of the subjective expected utility model. Finally, we discuss some implications and suggestions for future research.

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Year:  2009        PMID: 19897790     DOI: 10.3758/CABN.9.4.365

Source DB:  PubMed          Journal:  Cogn Affect Behav Neurosci        ISSN: 1530-7026            Impact factor:   3.282


  109 in total

1.  Explaining neurocognitive aging: is one factor enough?

Authors:  Guido P H Band; K Richard Ridderinkhof; Sidney Segalowitz
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2.  New visions of the aging mind and brain.

Authors:  Patricia Reuter-Lorenz
Journal:  Trends Cogn Sci       Date:  2002-09-01       Impact factor: 20.229

3.  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

Review 4.  Neuroeconomics: the consilience of brain and decision.

Authors:  Paul W Glimcher; Aldo Rustichini
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5.  Getting to know you: reputation and trust in a two-person economic exchange.

Authors:  Brooks King-Casas; Damon Tomlin; Cedric Anen; Colin F Camerer; Steven R Quartz; P Read Montague
Journal:  Science       Date:  2005-04-01       Impact factor: 47.728

Review 6.  A framework for studying the neurobiology of value-based decision making.

Authors:  Antonio Rangel; Colin Camerer; P Read Montague
Journal:  Nat Rev Neurosci       Date:  2008-06-11       Impact factor: 34.870

Review 7.  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

Review 8.  A theory of cognitive control, aging cognition, and neuromodulation.

Authors:  Todd S Braver; Deanna M Barch
Journal:  Neurosci Biobehav Rev       Date:  2002-11       Impact factor: 8.989

9.  A mechanistic account of striatal dopamine function in human cognition: psychopharmacological studies with cabergoline and haloperidol.

Authors:  Michael J Frank; Randall C O'Reilly
Journal:  Behav Neurosci       Date:  2006-06       Impact factor: 1.912

10.  Perceptions of moral character modulate the neural systems of reward during the trust game.

Authors:  M R Delgado; R H Frank; E A Phelps
Journal:  Nat Neurosci       Date:  2005-10-16       Impact factor: 24.884

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  24 in total

Review 1.  Decision making in the ageing brain: changes in affective and motivational circuits.

Authors:  Gregory R Samanez-Larkin; Brian Knutson
Journal:  Nat Rev Neurosci       Date:  2015-04-15       Impact factor: 34.870

2.  Age differences in strategy selection and risk preference during risk-based decision making.

Authors:  Rachel D Samson; Anu Venkatesh; Adam W Lester; A Tobias Weinstein; Peter Lipa; Carol A Barnes
Journal:  Behav Neurosci       Date:  2015-02-09       Impact factor: 1.912

3.  Risk, reward, and economic decision making in aging.

Authors:  David R Roalf; Suzanne H Mitchell; William T Harbaugh; Jeri S Janowsky
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  2011-09-16       Impact factor: 4.077

Review 4.  Reward processing in neurodegenerative disease.

Authors:  David C Perry; Joel H Kramer
Journal:  Neurocase       Date:  2014-01-13       Impact factor: 0.881

Review 5.  Research Review: altered reward function in adolescent depression: what, when and how?

Authors:  Erika E Forbes; Ronald E Dahl
Journal:  J Child Psychol Psychiatry       Date:  2011-11-28       Impact factor: 8.982

6.  Adult age differences in decision making across domains: Increased discounting of social and health-related rewards.

Authors:  Kendra L Seaman; Marissa A Gorlick; Kruti M Vekaria; Ming Hsu; David H Zald; Gregory R Samanez-Larkin
Journal:  Psychol Aging       Date:  2016-11

7.  Effects of age-related differences in empathy on social economic decision-making.

Authors:  Janelle N Beadle; Sergio Paradiso; Christopher Kovach; Linnea Polgreen; Natalie L Denburg; Daniel Tranel
Journal:  Int Psychogeriatr       Date:  2012-01-12       Impact factor: 3.878

8.  Age-Related Differences in Motivational Integration and Cognitive Control.

Authors:  Debbie M Yee; Sarah Adams; Asad Beck; Todd S Braver
Journal:  Cogn Affect Behav Neurosci       Date:  2019-06       Impact factor: 3.282

9.  Age-related differences in advantageous decision making are associated with distinct differences in functional community structure.

Authors:  Malaak Nasser Moussa; Michael J Wesley; Linda J Porrino; Satoru Hayasaka; Antoine Bechara; Jonathan H Burdette; Paul J Laurienti
Journal:  Brain Connect       Date:  2014-04-04

10.  Rapid decision-making under risk.

Authors:  Robert Adam; Paul M Bays; Masud Husain
Journal:  Cogn Neurosci       Date:  2011-10-12       Impact factor: 3.065

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