title: Frontal, Striatal, and Medial Temporal Sensitivity to Value Distinguishes Risk-Taking from Risk-Aversive Older Adults during Decision Making.
abstract: Aging compromises the frontal, striatal, and medial temporal areas of the reward system, impeding accurate value representation and feedback processing critical for decision making. However, substantial variability characterizes age-related effects on the brain so that some older individuals evince clear neurocognitive declines whereas others are spared. Moreover, the functional correlates of normative individual differences in older-adult value-based decision making remain unclear. We performed a functional magnetic resonance imaging study in 173 human older adults during a lottery choice task in which costly to more desirable stakes were depicted using low to high expected values (EVs) of points. Across trials that varied in EVs, participants decided to accept or decline the offered stakes to maximize total accumulated points. We found that greater age was associated with less optimal decisions, accepting stakes when losses were likely and declining stakes when gains were likely, and was associated with increased frontal activity for costlier stakes. Critically, risk preferences varied substantially across older adults and neural sensitivity to EVs in the frontal, striatal, and medial temporal areas dissociated risk-aversive from risk-taking individuals. Specifically, risk-averters increased neural responses to increasing EVs as stakes became more desirable, whereas risk-takers increased neural responses with decreasing EV as stakes became more costly. Risk preference also modulated striatal responses during feedback with risk-takers showing more positive responses to gains compared with risk-averters. Our findings highlight the frontal, striatal, and medial temporal areas as key neural loci in which individual differences differentially affect value-based decision-making ability in older adults.
  
  
  
  Frontal, striatal, and medial temporal functions implicated in value-based decision processing of rewards and costs undergo substantial age-related changes. However, age effects on brain function and cognition differ across individuals. How this normative variation relates to older-adult value-based decision making is unclear. We found that although the ability make optimal decisions declines with age, there is still much individual variability in how this deterioration occurs. Critically, whereas risk-averters showed increased neural activity to increasingly valuable stakes in frontal, striatal, and medial temporal areas, risk-takers instead increased activity as stakes became more costly. Such distinct functional decision-making processing in these brain regions across normative older adults may reflect individual differences in susceptibility to age-related brain changes associated with incipient cognitive impairment.
authors.affiliation: Graduate Institute of Brain and Mind Sciences, College of Medicine, National Taiwan University, Taipei, Taiwan 10051, joshuagoh@ntu.edu.tw.|Neurobiology and Cognitive Science Center and.|Department of Psychology, National Taiwan University, Taipei, Taiwan 10617, and.|Laboratory of Behavioral Neuroscience, Intramural Research Program, National Institute on Aging, Baltimore, Maryland 21224.
authors.forename: Joshua O S
authors.identifier: 0000-0001-7808-5452
authors.initials: JO
authors.lastname: Goh
authors.affiliation: Graduate Institute of Brain and Mind Sciences, College of Medicine, National Taiwan University, Taipei, Taiwan 10051.
authors.forename: Yu-Shiang
authors.initials: YS
authors.lastname: Su
authors.affiliation: Graduate Institute of Brain and Mind Sciences, College of Medicine, National Taiwan University, Taipei, Taiwan 10051.
authors.forename: Yong-Jheng
authors.identifier: 0000-0002-0602-3188
authors.initials: YJ
authors.lastname: Tang
authors.affiliation: Laboratory of Behavioral Neuroscience, Intramural Research Program, National Institute on Aging, Baltimore, Maryland 21224.
authors.forename: Anna C
authors.initials: AC
authors.lastname: McCarrey
authors.affiliation: Laboratory of Behavioral Neuroscience, Intramural Research Program, National Institute on Aging, Baltimore, Maryland 21224.
authors.forename: Alexander
authors.identifier: 0000-0002-3591-7439
authors.initials: A
authors.lastname: Tereshchenko
authors.affiliation: Laboratory of Behavioral Neuroscience, Intramural Research Program, National Institute on Aging, Baltimore, Maryland 21224.
authors.forename: Wendy
authors.initials: W
authors.lastname: Elkins
authors.affiliation: Laboratory of Behavioral Neuroscience, Intramural Research Program, National Institute on Aging, Baltimore, Maryland 21224.
authors.forename: Susan M
authors.initials: SM
authors.lastname: Resnick
mesh_terms: D000368:Aged; D000375:Aging / Q000523:psychology; D003657:Decision Making / Q000502:physiology*; D030141:Feedback, Psychological; D005260:Female; D005625:Frontal Lobe / Q000502:physiology*; D006801:Humans; D007091:Image Processing, Computer-Assisted; D007206:Individuality; D008279:Magnetic Resonance Imaging; D008297:Male; D017072:Neostriatum / Q000502:physiology*; D011597:Psychomotor Performance / Q000502:physiology; D012201:Reward; D012309:Risk-Taking; D013702:Temporal Lobe / Q000502:physiology*
keywords: aging; decision making; fMRI; individual differences; older adults; reward system