1
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Castrellon JJ, Zald DH, Samanez-Larkin GR, Seaman KL. Adult age-related differences in susceptibility to social conformity pressures in self-control over daily desires. Psychol Aging 2024; 39:102-112. [PMID: 38059928 PMCID: PMC10922454 DOI: 10.1037/pag0000790] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/08/2023]
Abstract
Developmental literature suggests that susceptibility to social conformity pressure peaks in adolescence and disappears with maturity into early adulthood. Predictions about these behaviors are less clear for middle-aged and older adults. On the one hand, while age-related increases in prioritization of socioemotional goals might predict greater susceptibility to social conformity pressures, aging is also associated with enhanced emotion regulation that could support resistance to conformity pressures. In this exploratory research study, we used mobile experience sampling surveys to naturalistically track how 157 healthy adults between the ages of 18 and 80 practice self-control over spontaneous desires in daily life. Many of these desires were experienced in the presence of others enacting that desire. Results showed that middle-aged and older adults were better at controlling their desires than younger adults when desires were experienced in the presence of others enacting that desire. Consistent with the literature on improved emotion regulation with age, these results provide evidence that the ability to resist social conformity pressure is enhanced across the adult life span. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
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Affiliation(s)
| | - David H. Zald
- Department of Psychology, Vanderbilt University, Nashville, TN
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University, Nashville, TN
- Department of Psychiatry, Rutgers Biomedical and Health Sciences, Piscataway, NJ
| | - Gregory R. Samanez-Larkin
- Department of Psychology & Neuroscience, Duke University, Durham, NC
- Center for Cognitive Neuroscience, Duke University, Durham, NC
| | - Kendra L. Seaman
- Department of Psychology, University of Texas at Dallas, Richardson, TX
- Center for Vital Longevity, University of Texas at Dallas, Dallas, TX
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2
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Abiodun SJ, Salerno JM, McAllister GA, Samanez-Larkin GR, Seaman KL. Adult Age Differences in Evoked Emotional Responses to Dynamic Facial Expressions. J Gerontol B Psychol Sci Soc Sci 2024; 79:gbad141. [PMID: 37756631 PMCID: PMC11058419 DOI: 10.1093/geronb/gbad141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Indexed: 09/29/2023] Open
Abstract
OBJECTIVES Facial expressions are powerful social signals that motivate feelings and actions in the observer. Research on face processing has overwhelmingly used static facial images, which have limited ecological validity. Previous research on the age-related positivity effect and age differences in social motivation suggest that older adults might experience different evoked emotional responses to facial expressions than younger adults. Here, we introduce a new method to explore age-related differences in evoked responses to dynamic facial expressions across adulthood. METHODS We used dynamic facial expressions which varied by expression type (happy, sad, and angry) and expression magnitude (low, medium, and full) to gather participant ratings on their evoked emotional response to these stimuli along the dimensions of valence (positive vs negative) and arousal. RESULTS As predicted, older adults rated the emotions evoked by positive facial expressions (happy) more positively than younger adults. Furthermore, older adults rated the emotion evoked by negative facial expressions (angry and sad) more negatively than younger adults. Contrary to our predictions, older adults did not differ significantly in arousal to negative expressions compared with younger adults. Across all ages, individuals rated positive expressions as more arousing than negative expressions. DISCUSSION The findings provide some evidence that older adults may be more sensitive to variations in dynamic facial expressions than younger adults, particularly in terms of their estimates of valence. These dynamic facial stimuli that vary in magnitude are promising for future studies of more naturalistic affect elicitation, studies of social incentive processing, and use in incentive-driven choice tasks.
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Affiliation(s)
- Sade J Abiodun
- Center for Cognitive Neuroscience, Duke University, Durham, North Carolina, USA
| | - Joanna M Salerno
- Center for Cognitive Neuroscience, Duke University, Durham, North Carolina, USA
| | - Galen A McAllister
- Center for Cognitive Neuroscience, Duke University, Durham, North Carolina, USA
| | | | - Kendra L Seaman
- Center for Vital Longevity, The University of Texas at Dallas, Dallas, Texas, USA
- Department of Psychology, The University of Texas at Dallas, Richardson, Texas, USA
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3
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Sinclair AH, Taylor MK, Brandel-Tanis F, Davidson A, Chande AT, Rishishwar L, Andris C, Adcock RA, Weitz JS, Samanez-Larkin GR, Beckett SJ. Communicating COVID-19 exposure risk with an interactive website counteracts risk misestimation. PLoS One 2023; 18:e0290708. [PMID: 37796971 PMCID: PMC10553796 DOI: 10.1371/journal.pone.0290708] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Accepted: 06/21/2023] [Indexed: 10/07/2023] Open
Abstract
During the COVID-19 pandemic, individuals depended on risk information to make decisions about everyday behaviors and public policy. Here, we assessed whether an interactive website influenced individuals' risk tolerance to support public health goals. We collected data from 11,169 unique users who engaged with the online COVID-19 Event Risk Tool (https://covid19risk.biosci.gatech.edu/) between 9/22/21 and 1/22/22. The website featured interactive elements, including a dynamic risk map, survey questions, and a risk quiz with accuracy feedback. After learning about the risk of COVID-19 exposure, participants reported being less willing to participate in events that could spread COVID-19, especially for high-risk large events. We also uncovered a bias in risk estimation: Participants tended to overestimate the risk of small events but underestimate the risk of large events. Importantly, even participants who voluntarily sought information about COVID risks tended to misestimate exposure risk, demonstrating the need for intervention. Participants from liberal-leaning counties were more likely to use the website tools and more responsive to feedback about risk misestimation, indicating that political partisanship influences how individuals seek and engage with COVID-19 information. Lastly, we explored temporal dynamics and found that user engagement and risk estimation fluctuated over the course of the Omicron variant outbreak. Overall, we report an effective large-scale method for communicating viral exposure risk; our findings are relevant to broader research on risk communication, epidemiological modeling, and risky decision-making.
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Affiliation(s)
- Alyssa H. Sinclair
- Department of Psychology and Neuroscience, Duke University, Durham, NC, United States of America
| | - Morgan K. Taylor
- Department of Psychology and Neuroscience, Duke University, Durham, NC, United States of America
| | - Freyja Brandel-Tanis
- School of City and Regional Planning, Georgia Institute of Technology, Atlanta, GA, United States of America
- School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA, United States of America
| | - Audra Davidson
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, United States of America
| | - Aroon T. Chande
- Applied Bioinformatics Laboratory, Georgia Institute of Technology, Atlanta, GA, United States of America
| | - Lavanya Rishishwar
- Applied Bioinformatics Laboratory, Georgia Institute of Technology, Atlanta, GA, United States of America
| | - Clio Andris
- School of City and Regional Planning, Georgia Institute of Technology, Atlanta, GA, United States of America
- School of Interactive Computing, Georgia Institute of Technology, Atlanta, GA, United States of America
| | - R. Alison Adcock
- Department of Psychology and Neuroscience, Duke University, Durham, NC, United States of America
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, United States of America
- Department of Neurobiology, Duke University, Durham, NC, United States of America
| | - Joshua S. Weitz
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, United States of America
- School of Physics, Georgia Institute of Technology, Atlanta, GA, United States of America
- Institut de Biologie, École Normale Supérieure, Paris, France
| | | | - Stephen J. Beckett
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, United States of America
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Abstract
In general, research on aging and decision-making has grown in recent years. Yet, little work has investigated how reliance on classic heuristics may differ across adulthood. For example, younger adults rely on the availability of information from memory when judging the relative frequency of plane crashes versus car accidents, but it is unclear if older adults are similarly reliant on this heuristic. In the present study, participants aged 20-90 years old made judgments that could be answered by relying on five different heuristics: anchoring, availability, recognition, representativeness, and sunk-cost bias. We found no evidence of age-related differences in the use of the classic heuristics-younger and older adults employed anchoring, availability, recognition, and representativeness to equal degrees in order to make decisions. However, replicating past work, we found age-related differences in the sunk-cost bias-older adults were more likely to avoid this fallacy compared to younger adults. We explain these different patterns by drawing on the distinctive roles that stored knowledge and personal experience likely play across heuristics. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
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5
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Green MA, Crawford JL, Kuhnen CM, Samanez-Larkin GR, Seaman KL. Multivariate associations between dopamine receptor availability and risky investment decision-making across adulthood. Cereb Cortex Commun 2023; 4:tgad008. [PMID: 37255569 PMCID: PMC10225308 DOI: 10.1093/texcom/tgad008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 05/08/2023] [Accepted: 05/10/2023] [Indexed: 06/01/2023] Open
Abstract
Enhancing dopamine increases financial risk taking across adulthood but it is unclear whether baseline individual differences in dopamine function are related to risky financial decisions. Here, thirty-five healthy adults completed an incentive-compatible risky investment decision task and a PET scan at rest using [11C]FLB457 to assess dopamine D2-like receptor availability. Participants made choices between a safe asset (bond) and a risky asset (stock) with either an expected value less than the bond ("bad stock") or expected value greater than the bond ("good stock"). Five measures of behavior (choice inflexibility, risk seeking, suboptimal investment) and beliefs (absolute error, optimism) were computed and D2-like binding potential was extracted from four brain regions of interest (midbrain, amygdala, anterior cingulate, insula). We used canonical correlation analysis to evaluate multivariate associations between decision-making and dopamine function controlling for age. Decomposition of the first dimension (r = 0.76) revealed that the strongest associations were between measures of choice inflexibility, incorrect choice, optimism, amygdala binding potential, and age. Follow-up univariate analyses revealed that amygdala binding potential and age were both independently associated with choice inflexibility. The findings suggest that individual differences in dopamine function may be associated with financial risk taking in healthy adults.
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Affiliation(s)
- Mikella A Green
- Department of Psychology & Neuroscience, 417 Chapel Dr, Durham, NC 27708, Center for Cognitive Neuroscience, Duke University, 308 Research Drive, Durham, NC 27708
| | - Jennifer L Crawford
- Department of Psychology, Brandeis University, 415 South Street, Waltham, MA 02453
| | - Camelia M Kuhnen
- UNC Kenan-Flagler Business School, 300 Kenan Center Drive, Chapel Hill, NC 27599, National Bureau of Economic Research, 1050 Massachusetts Avenue, Cambridge, MA 02138
| | - Gregory R Samanez-Larkin
- Department of Psychology & Neuroscience, 417 Chapel Dr, Durham, NC 27708, Center for Cognitive Neuroscience, Duke University, 308 Research Drive, Durham, NC 27708
| | - Kendra L Seaman
- Department of Psychology, University of Texas at Dallas, 800 W Campbell Road, Richardson, TX 75080-3021, Center for Vital Longevity, University of Texas at Dallas, 1600 Viceroy Drive, Suite 800, Dallas, TX 75235
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6
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Sinclair AH, Taylor MK, Weitz JS, Beckett SJ, Samanez-Larkin GR. Reasons for Receiving or Not Receiving Bivalent COVID-19 Booster Vaccinations Among Adults - United States, November 1-December 10, 2022. MMWR Morb Mortal Wkly Rep 2023; 72:73-75. [PMID: 36656784 PMCID: PMC9869746 DOI: 10.15585/mmwr.mm7203a5] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
Bivalent COVID-19 booster vaccines, developed to protect against both ancestral and Omicron BA.4/BA.5 variants, are recommended to increase protection against SARS-CoV-2 infection and severe disease* (1,2). However, relatively few eligible U.S. adults have received a bivalent booster dose (3), and reasons for low coverage are unclear. An opt-in Internet survey of 1,200 COVID-19-vaccinated U.S. adults was conducted to assess reasons for receiving or not receiving a bivalent booster dose. Participants could select multiple reasons from a list of suggested reasons to report why they had or had not received a bivalent booster dose. The most common reasons cited for not receiving the bivalent booster dose were lack of awareness of eligibility for vaccination (23.2%) or of vaccine availability (19.3%), and perceived immunity against infection (18.9%). After viewing information about eligibility and availability, 67.8% of participants who had not received the bivalent booster dose indicated that they planned to do so; in a follow-up survey 1 month later, 28.6% of these participants reported having received the dose. Among those who had planned to receive the booster dose but had not yet done so, 82.6% still intended to do so. Participants who had still not received the booster dose most commonly reported being too busy to get vaccinated (35.6%). To help increase bivalent booster dose coverage, health care and public health professionals should use evidence-based strategies to convey information about booster vaccination recommendations and waning immunity (4), while also working to increase convenient access.
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Seaman KL, Juarez EJ, Troutman A, Salerno JM, Samanez-Larkin SP, Samanez-Larkin GR. Decision Making across Adulthood during Physical Distancing. Neuropsychol Dev Cogn B Aging Neuropsychol Cogn 2023; 30:53-65. [PMID: 34369305 DOI: 10.1080/13825585.2021.1962793] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Covid-19-related social-distancing measures have dramatically limited physical social contact between individuals and increased monetary and health concerns for individuals of all ages. We wondered how these new societal conditions would impact the choices individuals make about monetary, health, and social rewards, and if these unprecedented conditions would have a differential impact on older individuals. We conducted two online studies to examine temporal discounting of monetary, health, and social rewards; stated preferences for monetary, health, and social rewards; and physical distancing behaviors. Both studies recruited equal numbers of White/Caucasian, Black/African American, and Hispanic/Latinx participants. We found that older adults were more likely to prefer smaller, sooner social and health-related rewards in decision-making tasks. These data further support the assertion that older adults have increased motivation for social and health rewards compared to younger individuals and that these age differences in motivation are important to consider when examining decision-making across the adult life span.
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Affiliation(s)
- Kendra L Seaman
- Center for Vital Longevity, The University of Texas at Dallas, Richardson, TX, US.,Department of Psychology, The University of Texas at Dallas, Richardson, TX, US
| | - Eric J Juarez
- Department of Psychology and Neuroscience, Duke University, Durham, TX, US
| | - Addison Troutman
- Center for Cognitive Neuroscience, Duke University, Durham, TX, US
| | - Joanna M Salerno
- Center for Cognitive Neuroscience, Duke University, Durham, TX, US
| | | | - Gregory R Samanez-Larkin
- Department of Psychology and Neuroscience, Duke University, Durham, TX, US.,Center for Cognitive Neuroscience, Duke University, Durham, TX, US
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8
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Abstract
A number of developmental theories have been proposed that make differential predictions about the links between age and temporal discounting, or the devaluation of future rewards. Most empirical studies examining adult age differences in temporal discounting have relied on economic intertemporal choice tasks, which pit choosing a smaller, sooner monetary reward against choosing a larger, later one. Although initial studies using these tasks suggested older adults discount less than younger adults, follow-up studies provided heterogeneous, and thus inconclusive, results. Using an open science approach, we test the replicability of adult age differences in temporal discounting by conducting a preregistered systematic literature search and meta-analysis of adult age differences in intertemporal choice tasks. Across 37 cross-sectional studies (Total N = 104,737), a planned meta-analysis found no sizeable relation between age and temporal discounting, r = -0.068, 95% CI [-0.170, 0.035]. We also found little evidence of publication bias or p-hacking. Exploratory analyses of moderators found no effect of research design (e.g., extreme-group vs. continuous age), incentives (hypothetical vs. real rewards), duration of delay (e.g., days, weeks, months, or years), or quantification of discounting behavior (e.g., proportion of immediate choices vs. parameters from computational modeling). Additional analyses of 12 participant-level data sets found little support for a nonlinear relation between age and temporal discounting across adulthood. Overall, the results suggest that younger, middle-aged, and older adults show similar preferences for smaller, sooner over larger, later rewards. We provide recommendations for future empirical work on temporal discounting across the adult life span. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
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Affiliation(s)
- Kendra L. Seaman
- Department of Psychology, University of Texas at Dallas, Center for Vital Longevity, University of Texas at Dallas
| | | | - Zöe Fenn
- Department of Psychology, University of Basel
| | - Gregory R. Samanez-Larkin
- Department of Psychology and Neuroscience, Duke University, Center for Cognitive Neuroscience, Duke University
| | - Rui Mata
- Department of Psychology, University of Basel, Max Planck Institute for Human Development
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9
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Sinclair AH, Hakimi S, Stanley ML, Adcock RA, Samanez-Larkin GR. Pairing facts with imagined consequences improves pandemic-related risk perception. Proc Natl Acad Sci U S A 2021; 118:e2100970118. [PMID: 34341120 PMCID: PMC8364212 DOI: 10.1073/pnas.2100970118] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
The COVID-19 pandemic reached staggering new peaks during a global resurgence more than a year after the crisis began. Although public health guidelines initially helped to slow the spread of disease, widespread pandemic fatigue and prolonged harm to financial stability and mental well-being contributed to this resurgence. In the late stage of the pandemic, it became clear that new interventions were needed to support long-term behavior change. Here, we examined subjective perceived risk about COVID-19 and the relationship between perceived risk and engagement in risky behaviors. In study 1 (n = 303), we found that subjective perceived risk was likely inaccurate but predicted compliance with public health guidelines. In study 2 (n = 735), we developed a multifaceted intervention designed to realign perceived risk with actual risk. Participants completed an episodic simulation task; we expected that imagining a COVID-related scenario would increase the salience of risk information and enhance behavior change. Immediately following the episodic simulation, participants completed a risk estimation task with individualized feedback about local viral prevalence. We found that information prediction error, a measure of surprise, drove beneficial change in perceived risk and willingness to engage in risky activities. Imagining a COVID-related scenario beforehand enhanced the effect of prediction error on learning. Importantly, our intervention produced lasting effects that persisted after a 1- to 3-wk delay. Overall, we describe a fast and feasible online intervention that effectively changed beliefs and intentions about risky behaviors.
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Affiliation(s)
- Alyssa H Sinclair
- Center for Cognitive Neuroscience, Duke University, Durham, NC 27708;
- Department of Psychology and Neuroscience, Duke University, Durham, NC 27708
| | - Shabnam Hakimi
- Center for Cognitive Neuroscience, Duke University, Durham, NC 27708
| | - Matthew L Stanley
- Center for Cognitive Neuroscience, Duke University, Durham, NC 27708
- Department of Psychology and Neuroscience, Duke University, Durham, NC 27708
| | - R Alison Adcock
- Center for Cognitive Neuroscience, Duke University, Durham, NC 27708
- Department of Psychology and Neuroscience, Duke University, Durham, NC 27708
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC 27708
| | - Gregory R Samanez-Larkin
- Center for Cognitive Neuroscience, Duke University, Durham, NC 27708
- Department of Psychology and Neuroscience, Duke University, Durham, NC 27708
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10
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Sinclair AH, Hakimi S, Stanley ML, Adcock RA, Samanez-Larkin GR. Pairing facts with imagined consequences improves pandemic-related risk perception. Proc Natl Acad Sci U S A 2021; 118:2100970118. [PMID: 34341120 DOI: 10.17605/osf.io/35us2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/27/2023] Open
Abstract
The COVID-19 pandemic reached staggering new peaks during a global resurgence more than a year after the crisis began. Although public health guidelines initially helped to slow the spread of disease, widespread pandemic fatigue and prolonged harm to financial stability and mental well-being contributed to this resurgence. In the late stage of the pandemic, it became clear that new interventions were needed to support long-term behavior change. Here, we examined subjective perceived risk about COVID-19 and the relationship between perceived risk and engagement in risky behaviors. In study 1 (n = 303), we found that subjective perceived risk was likely inaccurate but predicted compliance with public health guidelines. In study 2 (n = 735), we developed a multifaceted intervention designed to realign perceived risk with actual risk. Participants completed an episodic simulation task; we expected that imagining a COVID-related scenario would increase the salience of risk information and enhance behavior change. Immediately following the episodic simulation, participants completed a risk estimation task with individualized feedback about local viral prevalence. We found that information prediction error, a measure of surprise, drove beneficial change in perceived risk and willingness to engage in risky activities. Imagining a COVID-related scenario beforehand enhanced the effect of prediction error on learning. Importantly, our intervention produced lasting effects that persisted after a 1- to 3-wk delay. Overall, we describe a fast and feasible online intervention that effectively changed beliefs and intentions about risky behaviors.
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Affiliation(s)
- Alyssa H Sinclair
- Center for Cognitive Neuroscience, Duke University, Durham, NC 27708;
- Department of Psychology and Neuroscience, Duke University, Durham, NC 27708
| | - Shabnam Hakimi
- Center for Cognitive Neuroscience, Duke University, Durham, NC 27708
| | - Matthew L Stanley
- Center for Cognitive Neuroscience, Duke University, Durham, NC 27708
- Department of Psychology and Neuroscience, Duke University, Durham, NC 27708
| | - R Alison Adcock
- Center for Cognitive Neuroscience, Duke University, Durham, NC 27708
- Department of Psychology and Neuroscience, Duke University, Durham, NC 27708
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC 27708
| | - Gregory R Samanez-Larkin
- Center for Cognitive Neuroscience, Duke University, Durham, NC 27708
- Department of Psychology and Neuroscience, Duke University, Durham, NC 27708
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Sinclair AH, Hakimi S, Stanley ML, Adcock RA, Samanez-Larkin GR. Pairing facts with imagined consequences improves pandemic-related risk perception. Proc Natl Acad Sci U S A 2021; 118:2100970118. [PMID: 34341120 DOI: 10.31234/osf.io/53a9f] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/27/2023] Open
Abstract
The COVID-19 pandemic reached staggering new peaks during a global resurgence more than a year after the crisis began. Although public health guidelines initially helped to slow the spread of disease, widespread pandemic fatigue and prolonged harm to financial stability and mental well-being contributed to this resurgence. In the late stage of the pandemic, it became clear that new interventions were needed to support long-term behavior change. Here, we examined subjective perceived risk about COVID-19 and the relationship between perceived risk and engagement in risky behaviors. In study 1 (n = 303), we found that subjective perceived risk was likely inaccurate but predicted compliance with public health guidelines. In study 2 (n = 735), we developed a multifaceted intervention designed to realign perceived risk with actual risk. Participants completed an episodic simulation task; we expected that imagining a COVID-related scenario would increase the salience of risk information and enhance behavior change. Immediately following the episodic simulation, participants completed a risk estimation task with individualized feedback about local viral prevalence. We found that information prediction error, a measure of surprise, drove beneficial change in perceived risk and willingness to engage in risky activities. Imagining a COVID-related scenario beforehand enhanced the effect of prediction error on learning. Importantly, our intervention produced lasting effects that persisted after a 1- to 3-wk delay. Overall, we describe a fast and feasible online intervention that effectively changed beliefs and intentions about risky behaviors.
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Affiliation(s)
- Alyssa H Sinclair
- Center for Cognitive Neuroscience, Duke University, Durham, NC 27708;
- Department of Psychology and Neuroscience, Duke University, Durham, NC 27708
| | - Shabnam Hakimi
- Center for Cognitive Neuroscience, Duke University, Durham, NC 27708
| | - Matthew L Stanley
- Center for Cognitive Neuroscience, Duke University, Durham, NC 27708
- Department of Psychology and Neuroscience, Duke University, Durham, NC 27708
| | - R Alison Adcock
- Center for Cognitive Neuroscience, Duke University, Durham, NC 27708
- Department of Psychology and Neuroscience, Duke University, Durham, NC 27708
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC 27708
| | - Gregory R Samanez-Larkin
- Center for Cognitive Neuroscience, Duke University, Durham, NC 27708
- Department of Psychology and Neuroscience, Duke University, Durham, NC 27708
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12
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Sinclair AH, Stanley ML, Hakimi S, Cabeza R, Adcock RA, Samanez-Larkin GR. Imagining a Personalized Scenario Selectively Increases Perceived Risk of Viral Transmission for Older Adults. Nat Aging 2021; 1:677-683. [PMID: 35990532 PMCID: PMC9387905 DOI: 10.1038/s43587-021-00095-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/15/2023]
Abstract
The COVID-19 pandemic has created a serious and prolonged public-health emergency. Older adults have been at substantially greater risk of hospitalization, ICU admission, and death due to COVID-19; as of February 2021, over 81% of COVID-19-related deaths in the U.S. occurred for people over the age of 651,2. Converging evidence from around the world suggests that age is the greatest risk factor for severe COVID-19 illness and for the experience of adverse health outcomes3,4. Therefore, effectively communicating health-related risk information requires tailoring interventions to older adults' needs5. Using a novel informational intervention with a nationally-representative sample of 546 U.S. residents, we found that older adults reported increased perceived risk of COVID-19 transmission after imagining a personalized scenario with social consequences. Although older adults tended to forget numerical information over time, the personalized simulations elicited increases in perceived risk that persisted over a 1-3 week delay. Overall, our results bear broad implications for communicating information about health risks to older adults, and they suggest new strategies to combat annual influenza outbreaks.
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Affiliation(s)
- Alyssa H. Sinclair
- Duke University, Center for Cognitive Neuroscience
- Duke University, Department of Psychology & Neuroscience
| | - Matthew L. Stanley
- Duke University, Center for Cognitive Neuroscience
- Duke University, Department of Psychology & Neuroscience
| | | | - Roberto Cabeza
- Duke University, Center for Cognitive Neuroscience
- Duke University, Department of Psychology & Neuroscience
| | - R. Alison Adcock
- Duke University, Center for Cognitive Neuroscience
- Duke University, Department of Psychology & Neuroscience
- Duke University, Department of Psychiatry & Behavioral Sciences
| | - Gregory R. Samanez-Larkin
- Duke University, Center for Cognitive Neuroscience
- Duke University, Department of Psychology & Neuroscience
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Burr DA, Castrellon JJ, Zald DH, Samanez-Larkin GR. Emotion dynamics across adulthood in everyday life: Older adults are more emotionally stable and better at regulating desires. Emotion 2021; 21:453-464. [PMID: 32191090 PMCID: PMC8267403 DOI: 10.1037/emo0000734] [Citation(s) in RCA: 48] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Older adults report experiencing improved emotional health, such as more intense positive affect and less intense negative affect. However, there are mixed findings on whether older adults are better at regulating emotion-a hallmark feature of emotional health-and most research is based on laboratory studies that may not capture how people regulate their emotions in everyday life. We used experience sampling to examine how multiple measures of emotional health, including mean affect, dynamic fluctuations between affective states and the ability to resist desires-a common form of emotion regulation-differ in daily life across adulthood. Participants (N = 122, ages 20-80) reported how they were feeling and responding to desire temptations for 10 days. Older adults experienced more intense positive affect, less intense negative affect, and were more emotionally stable, even after controlling for individual differences in global life satisfaction. Older adults were more successful at regulating desires, even though they experienced more intense desires than younger adults. In addition, adults in general experiencing more intense affect were less successful at resisting desires. These results demonstrate how emotional experience is related to more successful desire regulation in everyday life and provide unique evidence that emotional health and regulation improve with age. (PsycInfo Database Record (c) 2021 APA, all rights reserved).
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Löckenhoff CE, Rutt JL, Samanez-Larkin GR, Gallagher C, O'Donoghue T, Reyna VF. Age Effects in Sequence-Construction for a Continuous Cognitive Task: Similar Sequence-Trends but Fewer Switch-Points. J Gerontol B Psychol Sci Soc Sci 2020; 75:762-771. [PMID: 30107593 PMCID: PMC7328034 DOI: 10.1093/geronb/gby090] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2017] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVES Many real-life settings require decision makers to sort a predetermined set of outcomes or activities into a preferred sequence and people vary in whether they prefer to tackle the most challenging aspects first, leave them for the last, or intersperse them with less challenging outcomes. Prior research on age differences in sequence-preferences has focused on discrete and hypothetical events. The present study expands this work by examining sequence-preferences for a realistic, continuous, sustained, and cognitively challenging task. METHODS Participants (N = 121, aged 21-86) were asked to complete 10 min of a difficult cognitive task (2-back), 10 min of an easy cognitive task (1-back), and 10 min of rest over the course of a 30-min interval. They could complete the tasks in any order and switch tasks as often as they wished and they were rewarded for correct performance. Additional measures included affective and physiological responses, task accuracy, time-perspective, and demographics. RESULTS The majority of participants constructed sequences with decreasing task difficulty. Preferences for the general trend of the sequence were not significantly related to age, but the number of switches among the tasks decreased with age, and task-switching tended to incur greater accuracy decrements among older as compared to younger adults. DISCUSSION We address potential methodological concerns, discuss theoretical implications, and consider potential real-life applications.
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Affiliation(s)
| | - Joshua L Rutt
- Department of Human Development, Cornell University, Ithaca, New York
| | | | - Casey Gallagher
- Department of Human Development, Cornell University, Ithaca, New York
| | - Ted O'Donoghue
- Department of Economics, Cornell University, Ithaca, New York
| | - Valerie F Reyna
- Department of Human Development, Cornell University, Ithaca, New York
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15
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Botvinik-Nezer R, Holzmeister F, Camerer CF, Dreber A, Huber J, Johannesson M, Kirchler M, Iwanir R, Mumford JA, Adcock RA, Avesani P, Baczkowski BM, Bajracharya A, Bakst L, Ball S, Barilari M, Bault N, Beaton D, Beitner J, Benoit RG, Berkers RMWJ, Bhanji JP, Biswal BB, Bobadilla-Suarez S, Bortolini T, Bottenhorn KL, Bowring A, Braem S, Brooks HR, Brudner EG, Calderon CB, Camilleri JA, Castrellon JJ, Cecchetti L, Cieslik EC, Cole ZJ, Collignon O, Cox RW, Cunningham WA, Czoschke S, Dadi K, Davis CP, Luca AD, Delgado MR, Demetriou L, Dennison JB, Di X, Dickie EW, Dobryakova E, Donnat CL, Dukart J, Duncan NW, Durnez J, Eed A, Eickhoff SB, Erhart A, Fontanesi L, Fricke GM, Fu S, Galván A, Gau R, Genon S, Glatard T, Glerean E, Goeman JJ, Golowin SAE, González-García C, Gorgolewski KJ, Grady CL, Green MA, Guassi Moreira JF, Guest O, Hakimi S, Hamilton JP, Hancock R, Handjaras G, Harry BB, Hawco C, Herholz P, Herman G, Heunis S, Hoffstaedter F, Hogeveen J, Holmes S, Hu CP, Huettel SA, Hughes ME, Iacovella V, Iordan AD, Isager PM, Isik AI, Jahn A, Johnson MR, Johnstone T, Joseph MJE, Juliano AC, Kable JW, Kassinopoulos M, Koba C, Kong XZ, Koscik TR, Kucukboyaci NE, Kuhl BA, Kupek S, Laird AR, Lamm C, Langner R, Lauharatanahirun N, Lee H, Lee S, Leemans A, Leo A, Lesage E, Li F, Li MYC, Lim PC, Lintz EN, Liphardt SW, Losecaat Vermeer AB, Love BC, Mack ML, Malpica N, Marins T, Maumet C, McDonald K, McGuire JT, Melero H, Méndez Leal AS, Meyer B, Meyer KN, Mihai G, Mitsis GD, Moll J, Nielson DM, Nilsonne G, Notter MP, Olivetti E, Onicas AI, Papale P, Patil KR, Peelle JE, Pérez A, Pischedda D, Poline JB, Prystauka Y, Ray S, Reuter-Lorenz PA, Reynolds RC, Ricciardi E, Rieck JR, Rodriguez-Thompson AM, Romyn A, Salo T, Samanez-Larkin GR, Sanz-Morales E, Schlichting ML, Schultz DH, Shen Q, Sheridan MA, Silvers JA, Skagerlund K, Smith A, Smith DV, Sokol-Hessner P, Steinkamp SR, Tashjian SM, Thirion B, Thorp JN, Tinghög G, Tisdall L, Tompson SH, Toro-Serey C, Torre Tresols JJ, Tozzi L, Truong V, Turella L, van 't Veer AE, Verguts T, Vettel JM, Vijayarajah S, Vo K, Wall MB, Weeda WD, Weis S, White DJ, Wisniewski D, Xifra-Porxas A, Yearling EA, Yoon S, Yuan R, Yuen KSL, Zhang L, Zhang X, Zosky JE, Nichols TE, Poldrack RA, Schonberg T. Variability in the analysis of a single neuroimaging dataset by many teams. Nature 2020; 582:84-88. [PMID: 32483374 PMCID: PMC7771346 DOI: 10.1038/s41586-020-2314-9] [Citation(s) in RCA: 423] [Impact Index Per Article: 105.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2019] [Accepted: 04/07/2020] [Indexed: 01/13/2023]
Abstract
Data analysis workflows in many scientific domains have become increasingly complex and flexible. Here we assess the effect of this flexibility on the results of functional magnetic resonance imaging by asking 70 independent teams to analyse the same dataset, testing the same 9 ex-ante hypotheses1. The flexibility of analytical approaches is exemplified by the fact that no two teams chose identical workflows to analyse the data. This flexibility resulted in sizeable variation in the results of hypothesis tests, even for teams whose statistical maps were highly correlated at intermediate stages of the analysis pipeline. Variation in reported results was related to several aspects of analysis methodology. Notably, a meta-analytical approach that aggregated information across teams yielded a significant consensus in activated regions. Furthermore, prediction markets of researchers in the field revealed an overestimation of the likelihood of significant findings, even by researchers with direct knowledge of the dataset2-5. Our findings show that analytical flexibility can have substantial effects on scientific conclusions, and identify factors that may be related to variability in the analysis of functional magnetic resonance imaging. The results emphasize the importance of validating and sharing complex analysis workflows, and demonstrate the need for performing and reporting multiple analyses of the same data. Potential approaches that could be used to mitigate issues related to analytical variability are discussed.
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Affiliation(s)
- Rotem Botvinik-Nezer
- Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel
- Department of Neurobiology, The George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel
- Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH, USA
| | - Felix Holzmeister
- Department of Banking and Finance, University of Innsbruck, Innsbruck, Austria
| | - Colin F Camerer
- HSS and CNS, California Institute of Technology, Pasadena, CA, USA
| | - Anna Dreber
- Department of Economics, Stockholm School of Economics, Stockholm, Sweden
- Department of Economics, University of Innsbruck, Innsbruck, Austria
| | - Juergen Huber
- Department of Banking and Finance, University of Innsbruck, Innsbruck, Austria
| | - Magnus Johannesson
- Department of Economics, Stockholm School of Economics, Stockholm, Sweden
| | - Michael Kirchler
- Department of Banking and Finance, University of Innsbruck, Innsbruck, Austria
| | - Roni Iwanir
- Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel
- Department of Neurobiology, The George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel
| | - Jeanette A Mumford
- Center for Healthy Minds, University of Wisconsin-Madison, Madison, WI, USA
| | - R Alison Adcock
- Center for Cognitive Neuroscience, Duke University, Durham, NC, USA
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA
| | - Paolo Avesani
- Neuroinformatics Laboratory, Fondazione Bruno Kessler, Trento, Italy
- Center for Mind/Brain Sciences - CIMeC, University of Trento, Rovereto, Italy
| | - Blazej M Baczkowski
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Aahana Bajracharya
- Department of Otolaryngology, Washington University in St. Louis, St. Louis, MO, USA
| | - Leah Bakst
- Department of Psychological and Brain Sciences, Boston University, Boston, MA, USA
- Center for Systems Neuroscience, Boston University, Boston, MA, USA
| | - Sheryl Ball
- Department of Economics, Virginia Tech, Blacksburg, VA, USA
- School of Neuroscience, Virginia Tech, Blacksburg, VA, USA
| | - Marco Barilari
- Crossmodal Perception and Plasticity Laboratory, Institutes for Research in Psychology (IPSY) and Neurosciences (IoNS), UCLouvain, Louvain-la-Neuve, Belgium
| | - Nadège Bault
- School of Psychology, University of Plymouth, Plymouth, UK
| | - Derek Beaton
- Rotman Research Institute, Baycrest Health Sciences Centre, Toronto, Ontario, Canada
| | - Julia Beitner
- Department of Psychology, University of Amsterdam, Amsterdam, The Netherlands
- Department of Psychology, Goethe University, Frankfurt am Main, Germany
| | - Roland G Benoit
- Max Planck Research Group: Adaptive Memory, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Ruud M W J Berkers
- Max Planck Research Group: Adaptive Memory, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Jamil P Bhanji
- Department of Psychology, Rutgers University-Newark, Newark, NJ, USA
| | - Bharat B Biswal
- Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ, USA
- School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | | | - Tiago Bortolini
- D'Or Institute for Research and Education (IDOR), Rio de Janeiro, Brazil
| | | | - Alexander Bowring
- Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Senne Braem
- Department of Experimental Psychology, Ghent University, Ghent, Belgium
- Department of Psychology, Vrije Universiteit Brussel, Brussels, Belgium
| | - Hayley R Brooks
- Department of Psychology, University of Denver, Denver, CO, USA
| | - Emily G Brudner
- Department of Psychology, Rutgers University-Newark, Newark, NJ, USA
| | | | - Julia A Camilleri
- Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Research Centre Jülich, Jülich, Germany
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Jaime J Castrellon
- Center for Cognitive Neuroscience, Duke University, Durham, NC, USA
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
| | - Luca Cecchetti
- MoMiLab Research Unit, IMT School for Advanced Studies Lucca, Lucca, Italy
| | - Edna C Cieslik
- Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Research Centre Jülich, Jülich, Germany
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Zachary J Cole
- Department of Psychology, University of Nebraska-Lincoln, Lincoln, NE, USA
| | - Olivier Collignon
- Center for Mind/Brain Sciences - CIMeC, University of Trento, Rovereto, Italy
- Crossmodal Perception and Plasticity Laboratory, Institutes for Research in Psychology (IPSY) and Neurosciences (IoNS), UCLouvain, Louvain-la-Neuve, Belgium
| | - Robert W Cox
- National Institute of Mental Health (NIMH), National Institutes of Health, Bethesda, MD, USA
| | | | - Stefan Czoschke
- Institute of Medical Psychology, Goethe University, Frankfurt am Main, Germany
| | | | - Charles P Davis
- Department of Psychological Sciences, University of Connecticut, Storrs, CT, USA
- Brain Imaging Research Center, University of Connecticut, Storrs, CT, USA
- Connecticut Institute for the Brain and Cognitive Sciences, University of Connecticut, Storrs, CT, USA
| | - Alberto De Luca
- PROVIDI Lab, Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands
| | | | - Lysia Demetriou
- Section of Endocrinology and Investigative Medicine, Faculty of Medicine, Imperial College London, London, UK
- Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, UK
| | | | - Xin Di
- Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ, USA
- School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Erin W Dickie
- Krembil Centre for Neuroinformatics, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | - Ekaterina Dobryakova
- Center for Traumatic Brain Injury Research, Kessler Foundation, East Hanover, NJ, USA
| | - Claire L Donnat
- Department of Statistics, Stanford University, Stanford, CA, USA
| | - Juergen Dukart
- Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Research Centre Jülich, Jülich, Germany
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Niall W Duncan
- Graduate Institute of Mind, Brain and Consciousness, Taipei Medical University, Taipei, Taiwan
- Brain and Consciousness Research Centre, TMU-ShuangHo Hospital, New Taipei City, Taiwan
| | - Joke Durnez
- Department of Psychology and Stanford Center for Reproducible Neuroscience, Stanford University, Stanford, CA, USA
| | - Amr Eed
- Instituto de Neurociencias, CSIC-UMH, Alicante, Spain
| | - Simon B Eickhoff
- Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Research Centre Jülich, Jülich, Germany
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Andrew Erhart
- Department of Psychology, University of Denver, Denver, CO, USA
| | - Laura Fontanesi
- Faculty of Psychology, University of Basel, Basel, Switzerland
| | - G Matthew Fricke
- Computer Science Department, University of New Mexico, Albuquerque, NM, USA
| | - Shiguang Fu
- School of Management, Zhejiang University of Technology, Hangzhou, China
- Institute of Neuromanagement, Zhejiang University of Technology, Hangzhou, China
| | - Adriana Galván
- Department of Psychology, University of California Los Angeles, Los Angeles, CA, USA
| | - Remi Gau
- Crossmodal Perception and Plasticity Laboratory, Institutes for Research in Psychology (IPSY) and Neurosciences (IoNS), UCLouvain, Louvain-la-Neuve, Belgium
| | - Sarah Genon
- Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Research Centre Jülich, Jülich, Germany
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Tristan Glatard
- Department of Computer Science and Software Engineering, Concordia University, Montreal, Quebec, Canada
| | - Enrico Glerean
- Department of Neuroscience and Biomedical Engineering, Aalto University, Espoo, Finland
| | - Jelle J Goeman
- Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
| | - Sergej A E Golowin
- Graduate Institute of Mind, Brain and Consciousness, Taipei Medical University, Taipei, Taiwan
| | | | | | - Cheryl L Grady
- Rotman Research Institute, Baycrest Health Sciences Centre, Toronto, Ontario, Canada
| | - Mikella A Green
- Center for Cognitive Neuroscience, Duke University, Durham, NC, USA
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
| | - João F Guassi Moreira
- Department of Psychology, University of California Los Angeles, Los Angeles, CA, USA
| | - Olivia Guest
- Department of Experimental Psychology, University College London, London, UK
- Research Centre on Interactive Media, Smart Systems and Emerging Technologies - RISE, Nicosia, Cyprus
| | - Shabnam Hakimi
- Center for Cognitive Neuroscience, Duke University, Durham, NC, USA
| | - J Paul Hamilton
- Center for Social and Affective Neuroscience, Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
| | - Roeland Hancock
- Brain Imaging Research Center, University of Connecticut, Storrs, CT, USA
- Connecticut Institute for the Brain and Cognitive Sciences, University of Connecticut, Storrs, CT, USA
| | - Giacomo Handjaras
- MoMiLab Research Unit, IMT School for Advanced Studies Lucca, Lucca, Italy
| | - Bronson B Harry
- The MARCS Institute for Brain, Behaviour and Development, Western Sydney University, Sydney, New South Wales, Australia
| | - Colin Hawco
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Peer Herholz
- McConnell Brain Imaging Centre, The Neuro (Montreal Neurological Institute-Hospital), Faculty of Medicine, McGill University, Montreal, Quebec, Canada
| | - Gabrielle Herman
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Stephan Heunis
- Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands
- Department of Research and Development, Epilepsy Centre Kempenhaeghe, Heeze, The Netherlands
| | - Felix Hoffstaedter
- Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Research Centre Jülich, Jülich, Germany
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Jeremy Hogeveen
- Department of Psychology, University of New Mexico, Albuquerque, NM, USA
- Psychology Clinical Neuroscience Center, University of New Mexico, Albuquerque, NM, USA
| | - Susan Holmes
- Department of Statistics, Stanford University, Stanford, CA, USA
| | - Chuan-Peng Hu
- Leibniz-Institut für Resilienzforschung (LIR), Mainz, Germany
| | - Scott A Huettel
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
| | - Matthew E Hughes
- School of Health Sciences, Swinburne University of Technology, Hawthorn, Victoria, Australia
| | - Vittorio Iacovella
- Center for Mind/Brain Sciences - CIMeC, University of Trento, Rovereto, Italy
| | | | - Peder M Isager
- Department of Industrial Engineering and Innovation Sciences, Eindhoven University of Technology, Eindhoven, The Netherlands
| | - Ayse I Isik
- Department of Neuroscience, Max Planck Institute for Empirical Aesthetics, Frankfurt am Main, Germany
| | - Andrew Jahn
- fMRI Laboratory, University of Michigan, Ann Arbor, MI, USA
| | - Matthew R Johnson
- Department of Psychology, University of Nebraska-Lincoln, Lincoln, NE, USA
- Center for Brain, Biology and Behavior, University of Nebraska-Lincoln, Lincoln, NE, USA
| | - Tom Johnstone
- School of Health Sciences, Swinburne University of Technology, Hawthorn, Victoria, Australia
| | - Michael J E Joseph
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Anthony C Juliano
- Center for Neuropsychology and Neuroscience Research, Kessler Foundation, East Hanover, NJ, USA
| | - Joseph W Kable
- Department of Psychology, University of Pennsylvania, Philadelphia, PA, USA
- MindCORE, University of Pennsylvania, Philadelphia, PA, USA
| | - Michalis Kassinopoulos
- Graduate Program in Biological and Biomedical Engineering, McGill University, Montreal, Quebec, Canada
| | - Cemal Koba
- MoMiLab Research Unit, IMT School for Advanced Studies Lucca, Lucca, Italy
| | - Xiang-Zhen Kong
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
| | - Timothy R Koscik
- Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | - Nuri Erkut Kucukboyaci
- Center for Traumatic Brain Injury Research, Kessler Foundation, East Hanover, NJ, USA
- Department of Physical Medicine and Rehabilitation, Rutgers New Jersey Medical School, Newark, NJ, USA
| | - Brice A Kuhl
- Department of Psychology, University of Oregon, Eugene, OR, USA
| | - Sebastian Kupek
- Faculty of Economics and Statistics, University of Innsbruck, Innsbruck, Austria
| | - Angela R Laird
- Department of Physics, Florida International University, Miami, Florida, USA
| | - Claus Lamm
- Department of Cognition, Emotion, and Methods in Psychology, Faculty of Psychology, University of Vienna, Vienna, Austria
- Vienna Cognitive Science Hub, University of Vienna, Vienna, Austria
| | - Robert Langner
- Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Research Centre Jülich, Jülich, Germany
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Nina Lauharatanahirun
- US CCDC Army Research Laboratory, Human Research and Engineering Directorate, Aberdeen Proving Ground, MD, USA
- Annenberg School for Communication, University of Pennsylvania, Philadelphia, PA, USA
| | - Hongmi Lee
- Department of Psychological and Brain Sciences, Johns Hopkins University, Baltimore, MD, USA
| | - Sangil Lee
- Department of Psychology, University of Pennsylvania, Philadelphia, PA, USA
| | - Alexander Leemans
- PROVIDI Lab, Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Andrea Leo
- MoMiLab Research Unit, IMT School for Advanced Studies Lucca, Lucca, Italy
| | - Elise Lesage
- Department of Experimental Psychology, Ghent University, Ghent, Belgium
| | - Flora Li
- Fralin Biomedical Research Institute, Roanoke, VA, USA
- Economics Experimental Lab, Nanjing Audit University, Nanjing, China
| | - Monica Y C Li
- Department of Psychological Sciences, University of Connecticut, Storrs, CT, USA
- Brain Imaging Research Center, University of Connecticut, Storrs, CT, USA
- Connecticut Institute for the Brain and Cognitive Sciences, University of Connecticut, Storrs, CT, USA
- Haskins Laboratories, New Haven, CT, USA
| | - Phui Cheng Lim
- Department of Psychology, University of Nebraska-Lincoln, Lincoln, NE, USA
- Center for Brain, Biology and Behavior, University of Nebraska-Lincoln, Lincoln, NE, USA
| | - Evan N Lintz
- Department of Psychology, University of Nebraska-Lincoln, Lincoln, NE, USA
| | | | - Annabel B Losecaat Vermeer
- Department of Cognition, Emotion, and Methods in Psychology, Faculty of Psychology, University of Vienna, Vienna, Austria
| | - Bradley C Love
- Department of Experimental Psychology, University College London, London, UK
- The Alan Turing Institute, London, UK
| | - Michael L Mack
- Department of Psychology, University of Toronto, Toronto, Ontario, Canada
| | - Norberto Malpica
- Laboratorio de Análisis de Imagen Médica y Biometría (LAIMBIO), Universidad Rey Juan Carlos, Madrid, Spain
| | - Theo Marins
- D'Or Institute for Research and Education (IDOR), Rio de Janeiro, Brazil
| | - Camille Maumet
- Inria, Univ Rennes, CNRS, Inserm, IRISA UMR 6074, Empenn ERL U 1228, Rennes, France
| | - Kelsey McDonald
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
| | - Joseph T McGuire
- Department of Psychological and Brain Sciences, Boston University, Boston, MA, USA
- Center for Systems Neuroscience, Boston University, Boston, MA, USA
| | - Helena Melero
- Laboratorio de Análisis de Imagen Médica y Biometría (LAIMBIO), Universidad Rey Juan Carlos, Madrid, Spain
- Departamento de Psicobiología, División de Psicología, CES Cardenal Cisneros, Madrid, Spain
- Northeastern University Biomedical Imaging Center, Northeastern University, Boston, MA, USA
| | - Adriana S Méndez Leal
- Department of Psychology, University of California Los Angeles, Los Angeles, CA, USA
| | - Benjamin Meyer
- Leibniz-Institut für Resilienzforschung (LIR), Mainz, Germany
- Neuroimaging Center (NIC), Focus Program Translational Neurosciences (FTN), Johannes Gutenberg University Medical Center Mainz, Mainz, Germany
| | - Kristin N Meyer
- Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Glad Mihai
- Max Planck Research Group: Neural Mechanisms of Human Communication, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Chair of Cognitive and Clinical Neuroscience, Faculty of Psychology, Technische Universität Dresden, Dresden, Germany
| | - Georgios D Mitsis
- Department of Bioengineering, McGill University, Montreal, Quebec, Canada
| | - Jorge Moll
- D'Or Institute for Research and Education (IDOR), Rio de Janeiro, Brazil
- Department of Psychology, Stanford University, Stanford, CA, USA
| | - Dylan M Nielson
- Data Science and Sharing Team, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA
| | - Gustav Nilsonne
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Department of Psychology, Stockholm University, Stockholm, Sweden
| | - Michael P Notter
- The Laboratory for Investigative Neurophysiology (The LINE), Department of Radiology, University Hospital Center and University of Lausanne, Lausanne, Switzerland
| | - Emanuele Olivetti
- Neuroinformatics Laboratory, Fondazione Bruno Kessler, Trento, Italy
- Center for Mind/Brain Sciences - CIMeC, University of Trento, Rovereto, Italy
| | - Adrian I Onicas
- MoMiLab Research Unit, IMT School for Advanced Studies Lucca, Lucca, Italy
| | - Paolo Papale
- MoMiLab Research Unit, IMT School for Advanced Studies Lucca, Lucca, Italy
- Department of Vision and Cognition, Netherlands Institute for Neuroscience, Amsterdam, The Netherlands
| | - Kaustubh R Patil
- Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Research Centre Jülich, Jülich, Germany
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Jonathan E Peelle
- Department of Otolaryngology, Washington University in St. Louis, St. Louis, MO, USA
| | - Alexandre Pérez
- McConnell Brain Imaging Centre, The Neuro (Montreal Neurological Institute-Hospital), Faculty of Medicine, McGill University, Montreal, Quebec, Canada
| | - Doris Pischedda
- Bernstein Center for Computational Neuroscience and Berlin Center for Advanced Neuroimaging and Clinic for Neurology, Charité Universitätsmedizin, corporate member of Freie Universität Berlin, Humboldt Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
- Cluster of Excellence Science of Intelligence, Technische Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany
- NeuroMI - Milan Center for Neuroscience, Milan, Italy
| | - Jean-Baptiste Poline
- McConnell Brain Imaging Centre, The Neuro (Montreal Neurological Institute-Hospital), Faculty of Medicine, McGill University, Montreal, Quebec, Canada
- Henry H. Wheeler, Jr. Brain Imaging Center, Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, CA, USA
| | - Yanina Prystauka
- Department of Psychological Sciences, University of Connecticut, Storrs, CT, USA
- Brain Imaging Research Center, University of Connecticut, Storrs, CT, USA
- Connecticut Institute for the Brain and Cognitive Sciences, University of Connecticut, Storrs, CT, USA
| | - Shruti Ray
- Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ, USA
| | | | - Richard C Reynolds
- Scientific and Statistical Computing Core, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA
| | - Emiliano Ricciardi
- MoMiLab Research Unit, IMT School for Advanced Studies Lucca, Lucca, Italy
| | - Jenny R Rieck
- Rotman Research Institute, Baycrest Health Sciences Centre, Toronto, Ontario, Canada
| | - Anais M Rodriguez-Thompson
- Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Anthony Romyn
- Department of Psychology, University of Toronto, Toronto, Ontario, Canada
| | - Taylor Salo
- Department of Psychology, Florida International University, Miami, FL, USA
| | - Gregory R Samanez-Larkin
- Center for Cognitive Neuroscience, Duke University, Durham, NC, USA
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
| | - Emilio Sanz-Morales
- Laboratorio de Análisis de Imagen Médica y Biometría (LAIMBIO), Universidad Rey Juan Carlos, Madrid, Spain
| | | | - Douglas H Schultz
- Department of Psychology, University of Nebraska-Lincoln, Lincoln, NE, USA
- Center for Brain, Biology and Behavior, University of Nebraska-Lincoln, Lincoln, NE, USA
| | - Qiang Shen
- School of Management, Zhejiang University of Technology, Hangzhou, China
- Institute of Neuromanagement, Zhejiang University of Technology, Hangzhou, China
| | - Margaret A Sheridan
- Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Jennifer A Silvers
- Department of Psychology, University of California Los Angeles, Los Angeles, CA, USA
| | - Kenny Skagerlund
- Department of Behavioural Sciences and Learning, Linköping University, Linköping, Sweden
- Center for Social and Affective Neuroscience, Department of Clinical and Experimental Medicine, Linköping University, Linköping, Sweden
| | - Alec Smith
- Department of Economics, Virginia Tech, Blacksburg, VA, USA
- School of Neuroscience, Virginia Tech, Blacksburg, VA, USA
| | - David V Smith
- Department of Psychology, Temple University, Philadelphia, PA, USA
| | | | - Simon R Steinkamp
- Institute of Neuroscience and Medicine, Cognitive Neuroscience (INM-3), Research Centre Jülich, Jülich, Germany
| | - Sarah M Tashjian
- Department of Psychology, University of California Los Angeles, Los Angeles, CA, USA
| | | | - John N Thorp
- Department of Psychology, Columbia University, New York, NY, USA
| | - Gustav Tinghög
- Department of Management and Engineering, Linköping University, Linköping, Sweden
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
| | - Loreen Tisdall
- Department of Psychology, Stanford University, Stanford, CA, USA
- Center for Cognitive and Decision Sciences, University of Basel, Basel, Switzerland
| | - Steven H Tompson
- US CCDC Army Research Laboratory, Human Research and Engineering Directorate, Aberdeen Proving Ground, MD, USA
| | - Claudio Toro-Serey
- Department of Psychological and Brain Sciences, Boston University, Boston, MA, USA
- Center for Systems Neuroscience, Boston University, Boston, MA, USA
| | | | - Leonardo Tozzi
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Vuong Truong
- Graduate Institute of Mind, Brain and Consciousness, Taipei Medical University, Taipei, Taiwan
- Brain and Consciousness Research Centre, TMU-ShuangHo Hospital, New Taipei City, Taiwan
| | - Luca Turella
- Center for Mind/Brain Sciences - CIMeC, University of Trento, Rovereto, Italy
| | - Anna E van 't Veer
- Methodology and Statistics Unit, Institute of Psychology, Leiden University, Leiden, The Netherlands
| | - Tom Verguts
- Department of Experimental Psychology, Ghent University, Ghent, Belgium
| | - Jean M Vettel
- US Combat Capabilities Development Command Army Research Laboratory, Aberdeen, MD, USA
- University of California Santa Barbara, Santa Barbara, CA, USA
- University of Pennsylvania, Philadelphia, PA, USA
| | - Sagana Vijayarajah
- Department of Psychology, University of Toronto, Toronto, Ontario, Canada
| | - Khoi Vo
- Center for Cognitive Neuroscience, Duke University, Durham, NC, USA
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
| | - Matthew B Wall
- Invicro, London, UK
- Faculty of Medicine, Imperial College London, London, UK
- Clinical Psychopharmacology Unit, University College London, London, UK
| | - Wouter D Weeda
- Methodology and Statistics Unit, Institute of Psychology, Leiden University, Leiden, The Netherlands
| | - Susanne Weis
- Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Research Centre Jülich, Jülich, Germany
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - David J White
- Centre for Human Psychopharmacology, Swinburne University, Hawthorn, Victoria, Australia
| | - David Wisniewski
- Department of Experimental Psychology, Ghent University, Ghent, Belgium
| | - Alba Xifra-Porxas
- Graduate Program in Biological and Biomedical Engineering, McGill University, Montreal, Quebec, Canada
| | - Emily A Yearling
- Department of Psychological Sciences, University of Connecticut, Storrs, CT, USA
- Brain Imaging Research Center, University of Connecticut, Storrs, CT, USA
- Connecticut Institute for the Brain and Cognitive Sciences, University of Connecticut, Storrs, CT, USA
| | - Sangsuk Yoon
- Department of Management and Marketing, School of Business, University of Dayton, Dayton, OH, USA
| | - Rui Yuan
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Kenneth S L Yuen
- Leibniz-Institut für Resilienzforschung (LIR), Mainz, Germany
- Neuroimaging Center (NIC), Focus Program Translational Neurosciences (FTN), Johannes Gutenberg University Medical Center Mainz, Mainz, Germany
| | - Lei Zhang
- Department of Cognition, Emotion, and Methods in Psychology, Faculty of Psychology, University of Vienna, Vienna, Austria
| | - Xu Zhang
- Brain Imaging Research Center, University of Connecticut, Storrs, CT, USA
- Connecticut Institute for the Brain and Cognitive Sciences, University of Connecticut, Storrs, CT, USA
- Biomedical Engineering Department, University of Connecticut, Storrs, CT, USA
| | - Joshua E Zosky
- Department of Psychology, University of Nebraska-Lincoln, Lincoln, NE, USA
- Center for Brain, Biology and Behavior, University of Nebraska-Lincoln, Lincoln, NE, USA
| | - Thomas E Nichols
- Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
| | | | - Tom Schonberg
- Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel.
- Department of Neurobiology, The George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel.
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16
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Abstract
Recent experience-sampling studies by Blanke et al. and Grommisch et al. provide insights into how individuals regulate their emotions in daily life. The rich datasets accessible from experience sampling allow researchers to detect nuances in the relationship between emotion-regulation choice and psychological health that may not be observed in traditional laboratory studies.
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Affiliation(s)
- Daisy A Burr
- Psychology and Neuroscience Department and the Center for Cognitive Neuroscience at Duke University, 308 Research Drive, Durham, NC 27708, USA.
| | - Gregory R Samanez-Larkin
- Psychology and Neuroscience Department and the Center for Cognitive Neuroscience at Duke University, 308 Research Drive, Durham, NC 27708, USA
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17
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Löckenhoff CE, Rutt JL, Samanez-Larkin GR, O'Donoghue T, Reyna VF. Preferences for Temporal Sequences of Real Outcomes Differ Across Domains but do not Vary by Age. J Gerontol B Psychol Sci Soc Sci 2020; 74:430-439. [PMID: 28977554 DOI: 10.1093/geronb/gbx094] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2016] [Accepted: 06/15/2017] [Indexed: 11/12/2022] Open
Abstract
OBJECTIVES People's preferences for temporal sequences of events have implications for life-long health and well-being. Prior research suggests that other aspects of intertemporal choice vary by age, but evidence for age differences in sequence-preferences is limited and inconclusive. In response, the present research examined age differences in sequence-preferences for real outcomes administered in a controlled laboratory setting. METHODS A pilot study examined sequence-preferences for aversive electrodermal shocks in 30 younger and 30 older adults. The main study examined sequence-preferences for electrodermal shocks, physical effort, and monetary gambles in an adult life-span sample (N = 120). It also examined emotional and physiological responses to sequences as well as underlying mechanisms including time perception and emotion-regulation. RESULTS There were no significant age differences in sequence-preferences in either of the studies, and there were no age differences in responses to sequences in the main study. Instead, there was a domain effect with participants preferring decreasing sequences for shocks and mixed sequences for effort and money. DISCUSSION After considering potential methodological limitations, theoretical contributions and implications for real-life decisions are discussed.
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Affiliation(s)
| | - Joshua L Rutt
- Department of Human Development, Cornell University, Ithaca, New York
| | - Gregory R Samanez-Larkin
- Department of Psychology, Yale University, New Haven, Connecticut.,Department of Psychology and Neuroscience, Duke University
| | - Ted O'Donoghue
- Department of Economics, Cornell University, Ithaca, New York. Joshua L. Rutt is now at the Department of Psychology, University of Zürich, Switzerland
| | - Valerie F Reyna
- Department of Human Development, Cornell University, Ithaca, New York
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18
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Löckenhoff CE, Samanez-Larkin GR. Age Differences in Intertemporal Choice: The Role of Task Type, Outcome Characteristics, and Covariates. J Gerontol B Psychol Sci Soc Sci 2020; 75:85-95. [PMID: 31410482 PMCID: PMC6909431 DOI: 10.1093/geronb/gbz097] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2019] [Indexed: 12/14/2022] Open
Abstract
OBJECTIVES Prior research has revealed age differences in the preferred timing of monetary outcomes, but results are inconsistent across studies. The present study examined the role of task type, outcome characteristics, and a range of theoretically implicated covariates that may contribute to variations in age effects. METHOD Two types of intertemporal choice paradigms (temporal discounting and sequence construction) were administered to a diverse life-span sample (n = 287, aged 18-87). The design experimentally manipulated outcome delay (months vs years), amount (hundreds vs thousands), and valence (gain vs loss) while statistically controlling for a range of potential covariates including demographics, affect, personality, time perspective, subjective health, and numeracy. RESULTS In the temporal discounting task, no significant age differences were observed and this pattern did not differ by outcome delay, amount, or valence. In the sequence-construction task, age was associated with a preference for sequences of decreasing impact in the gain condition but not in the loss condition, whereas outcome delay and amount did not moderate age effects. Age patterns in discounting and sequences preferences remained unchanged after controlling for covariates. DISCUSSION These findings converge with prior studies reporting weak or null effects of age in temporal discounting tasks and suggest that inconsistent results are not due to variations in outcome valence, delay, or amount across studies. Findings also add to the scarce evidence for age differences sequence-preferences. After discussing methodological limitations, we consider implications for future research and practice.
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19
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Castrellon JJ, Young JS, Dang LC, Cowan RL, Zald DH, Samanez-Larkin GR. Mesolimbic dopamine D2 receptors and neural representations of subjective value. Sci Rep 2019; 9:20229. [PMID: 31882947 PMCID: PMC6934551 DOI: 10.1038/s41598-019-56858-1] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2019] [Accepted: 12/18/2019] [Indexed: 11/12/2022] Open
Abstract
The process by which the value of delayed rewards is discounted varies from person to person. It has been suggested that these individual differences in subjective valuation of delayed rewards are supported by mesolimbic dopamine D2-like receptors (D2Rs) in the ventral striatum. However, no study to date has documented an association between direct measures of dopamine receptors and neural representations of subjective value in humans. Here, we examined whether individual differences in D2R availability were related to neural subjective value signals during decision making. Human participants completed a monetary delay discounting task during an fMRI scan and on a separate visit completed a PET scan with the high affinity D2R tracer [18 F]fallypride. Region-of-interest analyses revealed that D2R availability in the ventral striatum was positively correlated with subjective value-related activity in the ventromedial prefrontal cortex and midbrain but not with choice behavior. Whole-brain analyses revealed a positive correlation between ventral striatum D2R availability and subjective value-related activity in the left inferior frontal gyrus and superior insula. These findings identify a link between a direct measure of mesolimbic dopamine function and subjective value representation in humans and suggest a mechanism by which individuals vary in neural representation of discounted subjective value.
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Affiliation(s)
- Jaime J Castrellon
- Department of Psychology and Neuroscience, Duke University, Durham, United States. .,Center for Cognitive Neuroscience, Duke University, Durham, United States.
| | - Jacob S Young
- Department of Neurological Surgery, University of California, San Francisco, United States
| | - Linh C Dang
- Department of Psychology, Vanderbilt University, Nashville, United States
| | - Ronald L Cowan
- Department of Psychology, Vanderbilt University, Nashville, United States.,Department of Psychiatry and Behavioral Sciences, Vanderbilt University School of Medicine, Nashville, United States.,Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, United States
| | - David H Zald
- Department of Psychology, Vanderbilt University, Nashville, United States.,Department of Psychiatry and Behavioral Sciences, Vanderbilt University School of Medicine, Nashville, United States
| | - Gregory R Samanez-Larkin
- Department of Psychology and Neuroscience, Duke University, Durham, United States.,Center for Cognitive Neuroscience, Duke University, Durham, United States
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20
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Abstract
Jonasson et al. investigated whether individual differences in human dopamine receptors (D2R) were related to cognitive performance before and after a 6-month aerobic exercise intervention (compared with active control). While D2R decreased (perhaps counterintuitively) with exercise, there was no relationship between D2R and working memory at baseline or following exercise.
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Affiliation(s)
- Eric J Juarez
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA; Center for Cognitive Neuroscience, Duke University, Durham, NC, USA.
| | - Gregory R Samanez-Larkin
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA; Center for Cognitive Neuroscience, Duke University, Durham, NC, USA
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21
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Juarez EJ, Castrellon JJ, Green MA, Crawford JL, Seaman KL, Smith CT, Dang LC, Matuskey D, Morris ED, Cowan RL, Zald DH, Samanez-Larkin GR. Reproducibility of the correlative triad among aging, dopamine receptor availability, and cognition. Psychol Aging 2019; 34:921-932. [PMID: 31589058 DOI: 10.1037/pag0000403] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
The evidence that dopamine function mediates the association between aging and cognition is one of the most cited findings in the cognitive neuroscience of aging. However, few and relatively small studies have directly examined these associations. Here we examined correlations among adult age, dopamine D2-like receptor (D2R) availability, and cognition in two cross-sectional studies of healthy human adults. Participants completed a short cognitive test battery and, on a separate day, a PET scan with either the high-affinity D2R tracer [18F]Fallypride (Study 1) or [11C]FLB457 (Study 2). Digit span, a measure of short-term memory maintenance and working memory, was the only cognitive test for which dopamine D2R availability partially mediated the age effect on cognition. In Study 1, age was negatively correlated with digit span. Striatal D2R availability was positively correlated with digit span controlling for age. The age effect on digit span was smaller when controlling for striatal D2R availability. Although other cognitive measures used here have individually been associated with age and D2R availability in prior studies, we found no consistent evidence for significant associations between low D2R availability and low cognitive performance on these measures. These results at best only partially supported the correlative triad of age, dopamine D2R availability, and cognition. While a wealth of other research in human and nonhuman animals demonstrates that dopamine makes critical contributions to cognition, the present studies suggest caution in interpreting PET findings as evidence that dopamine D2R loss is a primary cause of broad age-related declines in fluid cognition. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
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Affiliation(s)
| | | | | | | | | | | | - Linh C Dang
- Department of Psychology, Vanderbilt University
| | - David Matuskey
- Department of Radiology and Biomedical Imaging, Yale University
| | - Evan D Morris
- Department of Radiology and Biomedical Imaging, Yale University
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22
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Smith CT, Crawford JL, Dang LC, Seaman KL, San Juan MD, Vijay A, Katz DT, Matuskey D, Cowan RL, Morris ED, Zald DH, Samanez-Larkin GR. Partial-volume correction increases estimated dopamine D2-like receptor binding potential and reduces adult age differences. J Cereb Blood Flow Metab 2019; 39:822-833. [PMID: 29090626 PMCID: PMC6498753 DOI: 10.1177/0271678x17737693] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
The relatively modest spatial resolution of positron emission tomography (PET) increases the likelihood of partial volume effects such that binding potential (BPND) may be underestimated. Given structural grey matter losses across adulthood, partial volume effects may be even more problematic in older age leading to overestimation of adult age differences. Here we examined the effects of partial volume correction (PVC) in two studies from different sites using different high-affinity D2-like radioligands (18 F-Fallypride, 11C-FLB457) and different PET camera resolutions (∼5 mm, 2.5 mm). Results across both data sets revealed that PVC increased estimated BPND and reduced, though did not eliminate, age effects on BPND. As expected, the effects of PVC were smaller in higher compared to lower resolution data. Analyses using uncorrected data that controlled for grey matter volume in each region of interest approximated PVC corrected data for some but not all regions. Overall, the findings suggest that PVC increases estimated BPND in general and reduces adult age differences especially when using lower resolution cameras. The findings suggest that the past 30 years of research on dopamine receptor availability, for which very few studies use PVC, may overestimate effects of aging on dopamine receptor availability.
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Affiliation(s)
| | - Jennifer L Crawford
- 2 Department of Psychology, Yale University, New Haven, CT, USA.,3 Center for Cognitive Neuroscience, Duke University, Durham, NC, USA
| | - Linh C Dang
- 1 Department of Psychology, Vanderbilt University, Nashville, TN, USA
| | - Kendra L Seaman
- 2 Department of Psychology, Yale University, New Haven, CT, USA.,3 Center for Cognitive Neuroscience, Duke University, Durham, NC, USA
| | - M Danica San Juan
- 1 Department of Psychology, Vanderbilt University, Nashville, TN, USA
| | - Aishwarya Vijay
- 4 Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT, USA
| | - Daniel T Katz
- 1 Department of Psychology, Vanderbilt University, Nashville, TN, USA
| | - David Matuskey
- 4 Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT, USA.,5 Department of Psychiatry, Yale University, New Haven, CT, USA
| | - Ronald L Cowan
- 1 Department of Psychology, Vanderbilt University, Nashville, TN, USA.,6 Department of Psychiatry and Behavioral Sciences, Vanderbilt University School of Medicine, Nashville, TN, USA.,7 Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Evan D Morris
- 4 Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT, USA.,5 Department of Psychiatry, Yale University, New Haven, CT, USA.,8 Department of Biomedical Engineering, Yale University, New Haven, CT USA
| | - David H Zald
- 1 Department of Psychology, Vanderbilt University, Nashville, TN, USA.,6 Department of Psychiatry and Behavioral Sciences, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Gregory R Samanez-Larkin
- 2 Department of Psychology, Yale University, New Haven, CT, USA.,3 Center for Cognitive Neuroscience, Duke University, Durham, NC, USA.,9 Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
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23
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Seaman KL, Smith CT, Juarez EJ, Dang LC, Castrellon JJ, Burgess LL, San Juan MD, Kundzicz PM, Cowan RL, Zald DH, Samanez-Larkin GR. Differential regional decline in dopamine receptor availability across adulthood: Linear and nonlinear effects of age. Hum Brain Mapp 2019; 40:3125-3138. [PMID: 30932295 DOI: 10.1002/hbm.24585] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2018] [Revised: 03/06/2019] [Accepted: 03/19/2019] [Indexed: 01/25/2023] Open
Abstract
Theories of adult brain development, based on neuropsychological test results and structural neuroimaging, suggest differential rates of age-related change in function across cortical and subcortical sub-regions. However, it remains unclear if these trends also extend to the aging dopamine system. Here we examined cross-sectional adult age differences in estimates of D2-like receptor binding potential across several cortical and subcortical brain regions using PET imaging and the radiotracer [18 F]Fallypride in two samples of healthy human adults (combined N = 132). After accounting for regional differences in overall radioligand binding, estimated percent difference in receptor binding potential by decade (linear effects) were highest in most temporal and frontal cortical regions (~6-16% per decade), moderate in parahippocampal gyrus, pregenual frontal cortex, fusiform gyrus, caudate, putamen, thalamus, and amygdala (~3-5%), and weakest in subcallosal frontal cortex, ventral striatum, pallidum, and hippocampus (~0-2%). Some regions showed linear effects of age while many showed curvilinear effects such that binding potential declined from young adulthood to middle age and then was relatively stable until old age. Overall, these data indicate that the rate and pattern of decline in D2 receptor availability is regionally heterogeneous. However, the differences across regions were challenging to organize within existing theories of brain development and did not show the same pattern of regional change that has been observed in gray matter volume, white matter integrity, or cognitive performance. This variation suggests that existing theories of adult brain development may need to be modified to better account for the spatial dynamics of dopaminergic system aging.
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Affiliation(s)
- Kendra L Seaman
- Center for the Study of Aging and Human Development, Duke University, Durham, North Carolina.,Center for Cognitive Neuroscience, Duke University, Durham, North Carolina
| | | | - Eric J Juarez
- Department of Psychology and Neuroscience, Duke University, Durham, North Carolina
| | - Linh C Dang
- Department of Psychology, Vanderbilt University, Nashville, Tennessee
| | - Jaime J Castrellon
- Department of Psychology and Neuroscience, Duke University, Durham, North Carolina
| | - Leah L Burgess
- Department of Psychology, Vanderbilt University, Nashville, Tennessee
| | - M Danica San Juan
- Department of Psychology, Vanderbilt University, Nashville, Tennessee
| | - Paul M Kundzicz
- Department of Psychology, Vanderbilt University, Nashville, Tennessee
| | - Ronald L Cowan
- Department of Psychology, Vanderbilt University, Nashville, Tennessee
| | - David H Zald
- Department of Psychology, Vanderbilt University, Nashville, Tennessee
| | - Gregory R Samanez-Larkin
- Center for Cognitive Neuroscience, Duke University, Durham, North Carolina.,Department of Psychology and Neuroscience, Duke University, Durham, North Carolina
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24
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Smith CT, Dang LC, Burgess LL, Perkins SF, Juan MDS, Smith DK, Cowan RL, Le NT, Kessler RM, Samanez-Larkin GR, Zald DH. Lack of consistent sex differences in D-amphetamine-induced dopamine release measured with [ 18F]fallypride PET. Psychopharmacology (Berl) 2019; 236:581-590. [PMID: 30350220 PMCID: PMC6401232 DOI: 10.1007/s00213-018-5083-5] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2018] [Accepted: 10/16/2018] [Indexed: 10/28/2022]
Abstract
RATIONALE Sex differences in the dopaminergic response to psychostimulants could have implications for drug abuse risk and other psychopathology involving the dopamine system, but human data are limited and mixed. OBJECTIVES Here, we sought to investigate sex differences in dopamine release after oral D-amphetamine administration. METHODS We used [18F]fallypride positron emission tomography (PET) to measure the change in dopamine D2/3 receptor availability (%ΔBPND, an index of dopamine release) between placebo and D-amphetamine sessions in two independent datasets containing a total of 39 females (on either hormonal birth control n = 18, postmenopausal n = 10, or studied in the first 10 days of their menstrual cycle n = 11) and 37 males. RESULTS Using both a priori anatomical regions of interest based on previous findings and voxelwise analyses, we failed to consistently detect broad sex differences in D-amphetamine-induced dopamine release. Nevertheless, there was limited evidence for greater right ventral striatal dopamine release in young adult males relative to similarly aged females, but this was not consistently observed across samples. Plasma estradiol did not correlate with dopamine release and this measure did not differ in females on and off hormonal birth control. CONCLUSIONS While our finding in young adults from one dataset of greater %ΔBPND in males is partially consistent with a previously published study on sex differences in D-amphetamine-induced dopamine release, our data do not support the presence of consistent widespread sex differences in this measure of dopamine release.
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Affiliation(s)
- Christopher T. Smith
- Department of Psychology, PMB 407817, Vanderbilt University, 2301 Vanderbilt Place, Nashville, TN 37240-7817,Corresponding Author:
| | - Linh C. Dang
- Department of Psychology, PMB 407817, Vanderbilt University, 2301 Vanderbilt Place, Nashville, TN 37240-7817
| | - Leah L. Burgess
- Department of Psychology, PMB 407817, Vanderbilt University, 2301 Vanderbilt Place, Nashville, TN 37240-7817
| | - Scott F. Perkins
- Department of Psychology, PMB 407817, Vanderbilt University, 2301 Vanderbilt Place, Nashville, TN 37240-7817
| | - M. Danica San Juan
- Department of Psychology, PMB 407817, Vanderbilt University, 2301 Vanderbilt Place, Nashville, TN 37240-7817
| | - Darcy K. Smith
- Department of Psychology, PMB 407817, Vanderbilt University, 2301 Vanderbilt Place, Nashville, TN 37240-7817
| | - Ronald L. Cowan
- Department of Psychology, PMB 407817, Vanderbilt University, 2301 Vanderbilt Place, Nashville, TN 37240-7817,Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, 1601 23rd Ave South, Suite 3057, Nashville, TN, 37212,Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Medical Center North, 1161 21st Ave. South, Nashville, TN 37232 USA
| | - Nam T. Le
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Medical Center North, 1161 21st Ave. South, Nashville, TN 37232 USA
| | - Robert M. Kessler
- Department of Radiology, UAB School of Medicine, 1802 6th Ave South, Birmingham, AL 35233
| | | | - David H. Zald
- Department of Psychology, PMB 407817, Vanderbilt University, 2301 Vanderbilt Place, Nashville, TN 37240-7817,Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, 1601 23rd Ave South, Suite 3057, Nashville, TN, 37212
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25
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Smith CT, San Juan MD, Dang LC, Katz DT, Perkins SF, Burgess LL, Cowan RL, Manning HC, Nickels ML, Claassen DO, Samanez-Larkin GR, Zald DH. Ventral striatal dopamine transporter availability is associated with lower trait motor impulsivity in healthy adults. Transl Psychiatry 2018; 8:269. [PMID: 30531858 PMCID: PMC6286354 DOI: 10.1038/s41398-018-0328-y] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/16/2018] [Revised: 11/13/2018] [Accepted: 11/15/2018] [Indexed: 12/18/2022] Open
Abstract
Impulsivity is a transdiagnostic feature of a range of externalizing psychiatric disorders. Preclinical work links reduced ventral striatal dopamine transporter (DAT) availability with heightened impulsivity and novelty seeking. However, there is a lack of human data investigating the relationship between DAT availability, particularly in subregions of the striatum, and the personality traits of impulsivity and novelty seeking. Here we collected PET measures of DAT availability (BPND) using the tracer 18F-FE-PE2I in 47 healthy adult subjects and examined relations between BPND in striatum, including its subregions: caudate, putamen, and ventral striatum (VS), and trait impulsivity (Barratt Impulsiveness Scale: BIS-11) and novelty seeking (Tridimensional Personality Questionnaire: TPQ-NS), controlling for age and sex. DAT BPND in each striatal subregion showed nominal negative associations with total BIS-11 but not TPQ-NS. At the subscale level, VS DAT BPND was significantly associated with BIS-11 motor impulsivity (e.g., taking actions without thinking) after correction for multiple comparisons. VS DAT BPND explained 13.2% of the variance in motor impulsivity. Our data demonstrate that DAT availability in VS is negatively related to impulsivity and suggest a particular influence of DAT regulation of dopamine signaling in VS on acting without deliberation (BIS motor impulsivity). While needing replication, these data converge with models of ventral striatal functions that emphasize its role as a key interface linking motivation to action.
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Affiliation(s)
- Christopher T. Smith
- 0000 0001 2264 7217grid.152326.1Department of Psychology, PMB 407817, Vanderbilt University, 2301 Vanderbilt Place, Nashville, TN 37240-7817 USA
| | - M. Danica San Juan
- 0000 0001 2264 7217grid.152326.1Department of Psychology, PMB 407817, Vanderbilt University, 2301 Vanderbilt Place, Nashville, TN 37240-7817 USA
| | - Linh C. Dang
- 0000 0001 2264 7217grid.152326.1Department of Psychology, PMB 407817, Vanderbilt University, 2301 Vanderbilt Place, Nashville, TN 37240-7817 USA
| | - Daniel T. Katz
- 0000 0001 2264 7217grid.152326.1Department of Psychology, PMB 407817, Vanderbilt University, 2301 Vanderbilt Place, Nashville, TN 37240-7817 USA
| | - Scott F. Perkins
- 0000 0001 2264 7217grid.152326.1Department of Psychology, PMB 407817, Vanderbilt University, 2301 Vanderbilt Place, Nashville, TN 37240-7817 USA
| | - Leah L. Burgess
- 0000 0001 2264 7217grid.152326.1Department of Psychology, PMB 407817, Vanderbilt University, 2301 Vanderbilt Place, Nashville, TN 37240-7817 USA
| | - Ronald L. Cowan
- 0000 0001 2264 7217grid.152326.1Department of Psychology, PMB 407817, Vanderbilt University, 2301 Vanderbilt Place, Nashville, TN 37240-7817 USA ,0000 0004 1936 9916grid.412807.8Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, 1601 23rd Avenue South, Suite 3057, Nashville, TN 37212 USA ,0000 0004 1936 9916grid.412807.8Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Medical Center North, 1161 21st Avenue South, Nashville, TN 37232 USA
| | - H. Charles Manning
- 0000 0004 1936 9916grid.412807.8Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Medical Center North, 1161 21st Avenue South, Nashville, TN 37232 USA ,0000 0001 2264 7217grid.152326.1Department of Chemistry, Vanderbilt University, 7330 Stevenson Center, Station B 351822, Nashville, TN 37235 USA ,0000 0001 2264 7217grid.152326.1Department of Biomedical Engineering, PMB 351826, Vanderbilt University, 2301 Vanderbilt Place, Nashville, TN 37235-1826 USA ,0000 0004 1936 9916grid.412807.8Department of Neurological Surgery, Vanderbilt University Medical Center, 1161 21st Avenue South, T4224 Medical Center North, Nashville, TN 37232-2380 USA
| | - Michael L. Nickels
- 0000 0004 1936 9916grid.412807.8Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Medical Center North, 1161 21st Avenue South, Nashville, TN 37232 USA
| | - Daniel O. Claassen
- 0000 0004 1936 9916grid.412807.8Department of Neurology, Vanderbilt University Medical Center, 1161 21st Avenue South, A-0118, Nashville, TN 37232-2551 USA
| | - Gregory R. Samanez-Larkin
- 0000 0004 1936 7961grid.26009.3dDepartment of Psychology and Neuroscience, Duke University, 417 Chapel Drive, Durham, NC 27708 USA
| | - David H. Zald
- 0000 0001 2264 7217grid.152326.1Department of Psychology, PMB 407817, Vanderbilt University, 2301 Vanderbilt Place, Nashville, TN 37240-7817 USA ,0000 0004 1936 9916grid.412807.8Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, 1601 23rd Avenue South, Suite 3057, Nashville, TN 37212 USA
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von Helversen B, Mata R, Samanez-Larkin GR, Wilke A. Foraging, exploration, or search? On the (lack of) convergent validity between three behavioral paradigms. Evolutionary Behavioral Sciences 2018. [DOI: 10.1037/ebs0000121] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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Leong JK, MacNiven KH, Samanez-Larkin GR, Knutson B. Distinct neural circuits support incentivized inhibition. Neuroimage 2018; 178:435-444. [PMID: 29803959 DOI: 10.1016/j.neuroimage.2018.05.055] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2017] [Revised: 05/12/2018] [Accepted: 05/23/2018] [Indexed: 12/11/2022] Open
Abstract
The ability to inhibit responses under high stakes, or "incentivized inhibition," is critical for adaptive impulse control. While previous research indicates that right ventrolateral prefrontal cortical (VLPFC) activity plays a key role in response inhibition, less research has addressed how incentives might influence this circuit. By combining a novel behavioral task, functional magnetic resonance imaging (FMRI), and diffusion-weighted imaging (DWI), we targeted and characterized specific neural circuits that support incentivized inhibition. Behaviorally, large incentives enhanced responses to obtain money, but also reduced response inhibition. Functionally, activity in both right VLPFC and right anterior insula (AIns) predicted successful inhibition for high incentives. Structurally, characterization of a novel white-matter tract connecting the right AIns and VLPFC revealed an association of tract coherence with incentivized inhibition performance. Finally, individual differences in right VLPFC activity statistically mediated the association of right AIns-VLPFC tract coherence with incentivized inhibition performance. These multimodal findings bridge brain structure, brain function, and behavior to clarify how individuals can inhibit impulses, even in the face of high stakes.
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Affiliation(s)
- Josiah K Leong
- Department of Psychology, Stanford University, Stanford, CA, 94305-2025, USA
| | - Kelly H MacNiven
- Department of Psychology, Stanford University, Stanford, CA, 94305-2025, USA; Stanford Neuroscience Institute, Stanford University, Stanford, CA, 94305-2025, USA
| | | | - Brian Knutson
- Department of Psychology, Stanford University, Stanford, CA, 94305-2025, USA; Stanford Neuroscience Institute, Stanford University, Stanford, CA, 94305-2025, USA.
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28
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Seaman KL, Green MA, Shu S, Samanez-Larkin GR. Individual differences in loss aversion and preferences for skewed risks across adulthood. Psychol Aging 2018; 33:654-659. [PMID: 29771547 DOI: 10.1037/pag0000261] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
In a previous study, we found adult age differences in the tendency to accept more positively skewed gambles (with a small chance of a large win) than other equivalent risks, or an age-related positive-skew bias. In the present study, we examined whether loss aversion explained this bias. A total of 508 healthy participants (ages 21-82) completed measures of loss aversion and skew preference. Age was not related to loss aversion. Although loss aversion was a significant predictor of gamble acceptance, it did not influence the age-related positive-skew bias. (PsycINFO Database Record
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Affiliation(s)
| | | | - Stephen Shu
- ass Business School, City, University of London
| | - Gregory R Samanez-Larkin
- Department of Psychology and Neuroscience and the Center for Cognitive Neuroscience, Duke University
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29
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Seaman KL, Brooks N, Karrer TM, Castrellon JJ, Perkins SF, Dang LC, Hsu M, Zald DH, Samanez-Larkin GR. Subjective value representations during effort, probability and time discounting across adulthood. Soc Cogn Affect Neurosci 2018; 13:449-459. [PMID: 29618082 PMCID: PMC6007391 DOI: 10.1093/scan/nsy021] [Citation(s) in RCA: 47] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2017] [Revised: 02/09/2018] [Accepted: 03/25/2018] [Indexed: 01/19/2023] Open
Abstract
Every day, humans make countless decisions that require the integration of information about potential benefits (i.e. rewards) with other decision features (i.e. effort required, probability of an outcome or time delays). Here, we examine the overlap and dissociation of behavioral preferences and neural representations of subjective value in the context of three different decision features (physical effort, probability and time delays) in a healthy adult life span sample. While undergoing functional neuroimaging, participants (N = 75) made incentive compatible choices between a smaller monetary reward with lower physical effort, higher probability, or a shorter time delay versus a larger monetary reward with higher physical effort, lower probability, or a longer time delay. Behavioral preferences were estimated from observed choices, and subjective values were computed using individual hyperbolic discount functions. We found that discount rates were uncorrelated across tasks. Despite this apparent behavioral dissociation between preferences, we found overlapping subjective value-related activity in the medial prefrontal cortex across all three tasks. We found no consistent evidence for age differences in either preferences or the neural representations of subjective value across adulthood. These results suggest that while the tolerance of decision features is behaviorally dissociable, subjective value signals share a common representation across adulthood.
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Affiliation(s)
- Kendra L Seaman
- Center for the Study of Aging and Human Development & Center for Cognitive Neuroscience, Duke University, Durham, NC 27708, USA
| | - Nickolas Brooks
- Department of Psychology, Yale University, New Haven, CT 06520, USA
| | - Teresa M Karrer
- Department of Psychology, Yale University, New Haven, CT 06520, USA
| | - Jaime J Castrellon
- Department of Psychology and Neuroscience, Duke University, Durham, NC 27708, USA
| | - Scott F Perkins
- Department of Psychology, Vanderbilt University, Nashville, TN 37240, USA
| | - Linh C Dang
- Department of Psychology, Vanderbilt University, Nashville, TN 37240, USA
| | - Ming Hsu
- Haas School of Business, University of California–Berkeley, Berkeley, CA 94720, USA
| | - David H Zald
- Department of Psychology, Vanderbilt University, Nashville, TN 37240, USA
| | - Gregory R Samanez-Larkin
- Department of Psychology and Neuroscience & Center for Cognitive Neuroscience, Duke University, Durham, NC 27708, USA
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30
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Holland CAC, Ebner NC, Lin T, Samanez-Larkin GR. Emotion identification across adulthood using the Dynamic FACES database of emotional expressions in younger, middle aged, and older adults. Cogn Emot 2018; 33:245-257. [PMID: 29595363 DOI: 10.1080/02699931.2018.1445981] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Abstract
Facial stimuli are widely used in behavioural and brain science research to investigate emotional facial processing. However, some studies have demonstrated that dynamic expressions elicit stronger emotional responses compared to static images. To address the need for more ecologically valid and powerful facial emotional stimuli, we created Dynamic FACES, a database of morphed videos (n = 1026) from younger, middle-aged, and older adults displaying naturalistic emotional facial expressions (neutrality, sadness, disgust, fear, anger, happiness). To assess adult age differences in emotion identification of dynamic stimuli and to provide normative ratings for this modified set of stimuli, healthy adults (n = 1822, age range 18-86 years) categorised for each video the emotional expression displayed, rated the expression distinctiveness, estimated the age of the face model, and rated the naturalness of the expression. We found few age differences in emotion identification when using dynamic stimuli. Only for angry faces did older adults show lower levels of identification accuracy than younger adults. Further, older adults outperformed middle-aged adults' in identification of sadness. The use of dynamic facial emotional stimuli has previously been limited, but Dynamic FACES provides a large database of high-resolution naturalistic, dynamic expressions across adulthood. Information on using Dynamic FACES for research purposes can be found at http://faces.mpib-berlin.mpg.de .
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Affiliation(s)
| | - Natalie C Ebner
- b Department of Psychology , University of Florida , Gainesville , FL , USA.,c Department of Aging and Geriatric Research , Institute on Aging, University of Florida , Gainesville , FL , USA
| | - Tian Lin
- b Department of Psychology , University of Florida , Gainesville , FL , USA
| | - Gregory R Samanez-Larkin
- a Department of Psychology , Yale University , New Haven , CT , USA.,d Department of Psychology and Neuroscience , Duke University , Durham , NC , USA
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31
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Kircanski K, Notthoff N, DeLiema M, Samanez-Larkin GR, Shadel D, Mottola G, Carstensen LL, Gotlib IH. Emotional arousal may increase susceptibility to fraud in older and younger adults. Psychol Aging 2018; 33:325-337. [PMID: 29658750 PMCID: PMC6005691 DOI: 10.1037/pag0000228] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Financial fraud is a societal problem for adults of all ages, but financial losses are especially damaging to older adults who typically live on fixed incomes and have less time to recoup losses. Persuasion tactics used by fraud perpetrators often elicit high levels of emotional arousal; thus, studying emotional arousal may help to identify the conditions under which individuals are particularly susceptible to fraud. We examined whether inducing high-arousal positive (HAP) and high-arousal negative (HAN) emotions increased susceptibility to fraud. Older (ages 65 to 85) and younger (ages 30 to 40) adults were randomly assigned to 1 of 3 emotional arousal conditions in a laboratory task: HAP, HAN, or low arousal (LA). Fraud susceptibility was assessed through participants' responses to misleading advertisements. Both HAP and HAN emotions were successfully induced in older and younger participants. For participants who exhibited the intended induced emotional arousal, both the HAP and HAN conditions, relative to the LA condition, significantly increased participants' reported intention to purchase falsely advertised items. These effects did not differ significantly between older and younger adults and were mitigated in participants who did not exhibit the intended emotional arousal. However, irrespective of the emotional arousal condition to which older adults were assigned (HAP, HAN, or LA), they reported greater purchase intention than did younger adults. These results inform the literature on fraud susceptibility and aging. Educating consumers to postpone financial decisions until they are in calm emotional states may protect against this common persuasion tactic. (PsycINFO Database Record
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Affiliation(s)
| | | | | | | | | | - Gary Mottola
- Financial Industry Regulatory Authority (FINRA) Investor Education
Foundation
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32
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Seaman KL, Leong JK, Wu CC, Knutson B, Samanez-Larkin GR. Individual differences in skewed financial risk-taking across the adult life span. Cogn Affect Behav Neurosci 2017; 17:1232-1241. [PMID: 29063520 PMCID: PMC5709503 DOI: 10.3758/s13415-017-0545-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Older adults are disproportionately targeted by fraud schemes that advertise unlikely but large returns (positively skewed risks). We examined adult age differences in choice and neural activity as individuals considered risky gambles. Gambles were symmetric (50% chance of modest win or loss), positively skewed (25% chance of large gain), or negatively skewed (25% chance of large loss). The willingness to accept positively skewed relative to symmetric gambles increased with age, and this effect replicated in an independent behavioral study. Whole-brain functional magnetic resonance imaging analyses comparing positively (vs. negatively) skewed trials revealed that relative to younger adults, older adults showed increased anticipatory activity for negatively skewed gambles but reduced activity for positively skewed gambles in the anterior cingulate and lateral prefrontal regions. Individuals who were more biased toward positively skewed gambles showed increased activity in a network of regions including the nucleus accumbens. These results reveal age biases toward positively skewed gambles and age differences in corticostriatal regions during skewed risk-taking, and have implications for identifying financial decision biases across adulthood.
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Affiliation(s)
- Kendra L Seaman
- Center for Cognitive Neuroscience, Duke University, Durham, NC, 27708, USA.
| | - Josiah K Leong
- Department of Psychology, Stanford University, Palo Alto, CA, 94305, USA
| | - Charlene C Wu
- Department of Psychology, Stanford University, Palo Alto, CA, 94305, USA
- Uber Labs, San Francisco, CA, USA
| | - Brian Knutson
- Department of Psychology, Stanford University, Palo Alto, CA, 94305, USA
| | - Gregory R Samanez-Larkin
- Center for Cognitive Neuroscience, Duke University, Durham, NC, 27708, USA
- Department of Psychology and Neuroscience, Duke University, Durham, NC, 27708, USA
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33
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Löckenhoff CE, Rutt JL, Samanez-Larkin GR, O'Donoghue T, Reyna VF, Ganzel B. Dread sensitivity in decisions about real and imagined electrical shocks does not vary by age. Psychol Aging 2017; 31:890-901. [PMID: 27929342 DOI: 10.1037/pag0000136] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Previous research has found age differences in intertemporal choices that involve trade-offs among events or outcomes that occur at different points in time, but these findings were mostly limited to hypothetical financial and consumer choices. We examined whether age effects extend to unpleasant physical experiences that elicit states of dread which lead participants to speed up the outcomes just to get them over with. We asked participants of different ages to choose among electrical shocks that varied in timing and intensity. We also assessed affective responses as a potential mechanism behind age effects and considered other potential covariates. In Study 1, the choice task involved real outcomes and the sample consisted of younger and older adults. In Study 2, the choice task was hypothetical and the sample was an adult life span sample. Across both studies, there was no evidence of age differences in the preferred timing of shocks. Instead, dread-sensitive choices were associated with higher conscientiousness. Age effects in dread-sensitive choices remained nonsignificant even after controlling for a range of age-associated covariates. We discuss possible explanations for the lack of age effects and consider implications for applied and clinical settings. (PsycINFO Database Record
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34
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Hosking JG, Kastman EK, Dorfman HM, Samanez-Larkin GR, Baskin-Sommers A, Kiehl KA, Newman JP, Buckholtz JW. Disrupted Prefrontal Regulation of Striatal Subjective Value Signals in Psychopathy. Neuron 2017; 95:221-231.e4. [PMID: 28683266 DOI: 10.1016/j.neuron.2017.06.030] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2016] [Revised: 05/10/2017] [Accepted: 06/16/2017] [Indexed: 12/29/2022]
Abstract
Psychopathy is a personality disorder with strong links to criminal behavior. While research on psychopathy has focused largely on socio-affective dysfunction, recent data suggest that aberrant decision making may also play an important role. Yet, the circuit-level mechanisms underlying maladaptive decision making in psychopathy remain unclear. Here, we used a multi-modality functional imaging approach to identify these mechanisms in a population of adult male incarcerated offenders. Psychopathy was associated with stronger subjective value-related activity within the nucleus accumbens (NAcc) during inter-temporal choice and with weaker intrinsic functional connectivity between NAcc and ventromedial prefrontal cortex (vmPFC). NAcc-vmPFC connectivity strength was negatively correlated with NAcc subjective value-related activity; however, this putative regulatory pattern was abolished as psychopathy severity increased. Finally, weaker cortico-striatal regulation predicted more frequent criminal convictions. These data suggest that cortico-striatal circuit dysregulation drives maladaptive decision making in psychopathy, supporting the notion that reward system dysfunction comprises an important neurobiological risk factor.
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Affiliation(s)
- Jay G Hosking
- Department of Psychology, Harvard University, 52 Oxford St., Cambridge, MA 02138, USA.
| | - Erik K Kastman
- Department of Psychology, Harvard University, 52 Oxford St., Cambridge, MA 02138, USA
| | - Hayley M Dorfman
- Department of Psychology, Harvard University, 52 Oxford St., Cambridge, MA 02138, USA
| | - Gregory R Samanez-Larkin
- Department of Psychology and Neuroscience, Duke University, 417 Chapel Dr., Durham, NC 27708, USA
| | | | - Kent A Kiehl
- MIND Institute, 1101 Yale Blvd NE, Albuquerque, NM 87106, USA
| | - Joseph P Newman
- Department of Psychology, University of Wisconsin-Madison, 1202 W Johnson St., Madison, WI 53706, USA
| | - Joshua W Buckholtz
- Department of Psychology, Harvard University, 52 Oxford St., Cambridge, MA 02138, USA; Center for Brain Science, Harvard University, 52 Oxford St., Cambridge, MA 02138, USA; Department of Psychiatry, Massachusetts General Hospital, 55 Fruit Street, Boston, MA 02144, USA.
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Karrer TM, Josef AK, Mata R, Morris ED, Samanez-Larkin GR. Reduced dopamine receptors and transporters but not synthesis capacity in normal aging adults: a meta-analysis. Neurobiol Aging 2017; 57:36-46. [PMID: 28599217 DOI: 10.1016/j.neurobiolaging.2017.05.006] [Citation(s) in RCA: 138] [Impact Index Per Article: 19.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2017] [Revised: 04/12/2017] [Accepted: 05/03/2017] [Indexed: 01/07/2023]
Abstract
Many theories of cognitive aging are based on evidence that dopamine (DA) declines with age. Here, we performed a systematic meta-analysis of cross-sectional positron emission tomography and single-photon emission-computed tomography studies on the average effects of age on distinct DA targets (receptors, transporters, or relevant enzymes) in healthy adults (N = 95 studies including 2611 participants). Results revealed significant moderate to large, negative effects of age on DA transporters and receptors. Age had a significantly larger effect on D1- than D2-like receptors. In contrast, there was no significant effect of age on DA synthesis capacity. The average age reductions across the DA system were 3.7%-14.0% per decade. A meta-regression found only DA target as a significant moderator of the age effect. This study precisely quantifies prior claims of reduced DA functionality with age. It also identifies presynaptic mechanisms (spared synthesis capacity and reduced DA transporters) that may partially account for previously unexplained phenomena whereby older adults appear to use dopaminergic resources effectively. Recommendations for future studies including minimum required samples sizes are provided.
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Affiliation(s)
- Teresa M Karrer
- Department of Psychology, Yale University, New Haven, CT, USA.
| | - Anika K Josef
- Center for Adaptive Rationality, Max Planck Institute for Human Development, Berlin, Germany
| | - Rui Mata
- Center for Cognitive and Decision Sciences, University of Basel, Basel, Switzerland
| | - Evan D Morris
- Yale PET Center, Yale University, New Haven, CT, USA; Department of Biomedical Engineering, Yale University, New Haven, CT, USA; Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT, USA; Department of Psychiatry, Yale University, New Haven, CT, USA
| | - Gregory R Samanez-Larkin
- Department of Psychology, Yale University, New Haven, CT, USA; Center for Cognitive Neuroscience, Duke University, Durham, NC, USA.
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36
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Dang LC, Castrellon JJ, Perkins SF, Le NT, Cowan RL, Zald DH, Samanez-Larkin GR. Reduced effects of age on dopamine D2 receptor levels in physically active adults. Neuroimage 2017; 148:123-129. [PMID: 28089678 DOI: 10.1016/j.neuroimage.2017.01.018] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2016] [Revised: 01/06/2017] [Accepted: 01/09/2017] [Indexed: 12/13/2022] Open
Abstract
Physical activity has been shown to ameliorate dopaminergic degeneration in non-human animal models. However, the effects of regular physical activity on normal age-related changes in dopamine function in humans are unknown. Here we present cross-sectional data from forty-four healthy human subjects between 23 and 80 years old, showing that typical age-related dopamine D2 receptor loss, assessed with PET [18F]fallypride, was significantly reduced in physically active adults compared to less active adults.
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Affiliation(s)
- Linh C Dang
- Department of Psychology, Vanderbilt University, 219 Wilson Hall, 111 21st Avenue South, Nashville, TN 37203, USA.
| | - Jaime J Castrellon
- Department of Psychology, Vanderbilt University, 219 Wilson Hall, 111 21st Avenue South, Nashville, TN 37203, USA
| | - Scott F Perkins
- Department of Psychology, Vanderbilt University, 219 Wilson Hall, 111 21st Avenue South, Nashville, TN 37203, USA
| | - Nam T Le
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, 1211 Medical Center Drive, Nashville, TN 37232, USA
| | - Ronald L Cowan
- Department of Psychiatry, Vanderbilt University School of Medicine, 1601 23rd Ave South, Nashville, TN 37212, USA; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, 1211 Medical Center Drive, Nashville, TN 37232, USA
| | - David H Zald
- Department of Psychology, Vanderbilt University, 219 Wilson Hall, 111 21st Avenue South, Nashville, TN 37203, USA; Department of Psychiatry, Vanderbilt University School of Medicine, 1601 23rd Ave South, Nashville, TN 37212, USA
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37
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Seaman KL, Gorlick MA, Vekaria KM, Hsu M, Zald DH, Samanez-Larkin GR. Adult age differences in decision making across domains: Increased discounting of social and health-related rewards. Psychol Aging 2016; 31:737-746. [PMID: 27831713 PMCID: PMC5127408 DOI: 10.1037/pag0000131] [Citation(s) in RCA: 42] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Although research on aging and decision making continues to grow, the majority of studies examine decisions made to maximize monetary earnings or points. It is not clear whether these results generalize to other types of rewards. To investigate this, we examined adult age differences in 92 healthy participants aged 22 to 83. Participants completed 9 hypothetical discounting tasks, which included 3 types of discounting factors (time, probability, effort) across 3 reward domains (monetary, social, health). Participants made choices between a smaller magnitude reward with a shorter time delay/higher probability/lower level of physical effort required and a larger magnitude reward with a longer time delay/lower probability/higher level of physical effort required. Older compared with younger individuals were more likely to choose options that involved shorter time delays or higher probabilities of experiencing an interaction with a close social partner or receiving health benefits from a hypothetical drug. These findings suggest that older adults may be more motivated than young adults to obtain social and health rewards immediately and with certainty. (PsycINFO Database Record
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Affiliation(s)
| | | | | | - Ming Hsu
- Haas School of Business, University of California Berkeley
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38
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Abstract
Can risk-taking propensity be thought of as a trait that captures individual differences across domains, measures, and time? Studying stability in risk-taking propensities across the life span can help to answer such questions by uncovering parallel, or divergent, trajectories across domains and measures. We contribute to this effort by using data from respondents aged 18 to 85 in the German Socio-Economic Panel Study (SOEP) and by examining (a) differential stability, (b) mean-level differences, and (c) individual-level changes in self-reported general (N = 44,076) and domain-specific (N = 11,903) risk-taking propensities across adulthood. In addition, we investigate (d) the correspondence between cross-sectional trajectories of self-report and behavioral measures of social (trust game; N = 646) and nonsocial (monetary gamble; N = 433) risk taking. The results suggest that risk-taking propensity can be understood as a trait with moderate stability. Results show reliable mean-level differences across the life span, with risk-taking propensities typically decreasing with age, although significant variation emerges across domains and individuals. Interestingly, the mean-level trajectory for behavioral measures of social and nonsocial risk taking was similar to those obtained from self-reported risk, despite small correlations between task behavior and self-reports. Individual-level analyses suggest a link between changes in risk-taking propensities both across domains and in relation to changes in some of the Big Five personality traits. Overall, these results raise important questions concerning the role of common processes or events that shape the life span development of risk-taking across domains as well as other major personality facets. (PsycINFO Database Record
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Affiliation(s)
- Anika K. Josef
- Max Planck Institute for Human Development, Berlin, Germany
| | - David Richter
- German Institute for Economic Research, Berlin, Germany
| | | | - Gert G. Wagner
- Max Planck Institute for Human Development, Berlin, Germany
- German Institute for Economic Research, Berlin, Germany
- Berlin University of Technology, Germany
| | - Ralph Hertwig
- Max Planck Institute for Human Development, Berlin, Germany
| | - Rui Mata
- Max Planck Institute for Human Development, Berlin, Germany
- University of Basel, Switzerland
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39
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Leong JK, Pestilli F, Wu CC, Samanez-Larkin GR, Knutson B. White-Matter Tract Connecting Anterior Insula to Nucleus Accumbens Correlates with Reduced Preference for Positively Skewed Gambles. Neuron 2016; 89:63-9. [PMID: 26748088 DOI: 10.1016/j.neuron.2015.12.015] [Citation(s) in RCA: 56] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2015] [Revised: 10/06/2015] [Accepted: 12/08/2015] [Indexed: 10/22/2022]
Abstract
Individuals sometimes show inconsistent risk preferences, including excessive attraction to gambles featuring small chances of winning large amounts (called "positively skewed" gambles). While functional neuroimaging research indicates that nucleus accumbens (NAcc) and anterior insula (AIns) activity inversely predict risky choice, structural connections between these regions have not been described in humans. By combining diffusion-weighted MRI with tractography, we identified the anatomical trajectory of white-matter tracts projecting from the AIns to the NAcc and statistically validated these tracts using Linear Fascicle Evaluation (LiFE) and virtual lesions. Coherence of the right AIns-NAcc tract correlated with reduced preferences for positively skewed gambles. Further, diminished NAcc activity during gamble presentation mediated the association between tract structure and choice. These results identify an unreported tract connecting the AIns to the NAcc in humans and support the notion that structural connections can alter behavior by influencing brain activity as individuals weigh uncertain gains against uncertain losses.
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Affiliation(s)
- Josiah K Leong
- Department of Psychology, Stanford University, Stanford, CA 94305, USA
| | - Franco Pestilli
- Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN 47405, USA
| | - Charlene C Wu
- Department of Psychology, Stanford University, Stanford, CA 94305, USA
| | | | - Brian Knutson
- Department of Psychology, Stanford University, Stanford, CA 94305, USA; Stanford Neuroscience Institute, Stanford University, Stanford, CA 94305, USA.
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Dang LC, Samanez-Larkin GR, Castrellon JJ, Perkins SF, Cowan RL, Zald DH. Associations between dopamine D2 receptor availability and BMI depend on age. Neuroimage 2016; 138:176-183. [PMID: 27208860 DOI: 10.1016/j.neuroimage.2016.05.044] [Citation(s) in RCA: 50] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2016] [Revised: 05/04/2016] [Accepted: 05/17/2016] [Indexed: 10/21/2022] Open
Abstract
OBJECTIVE The dopamine D2/3 receptor subtypes (DRD2/3) are the most widely studied neurotransmitter biomarker in research on obesity, but results to date have been inconsistent, have typically involved small samples, and have rarely accounted for subjects' ages despite the large impact of age on DRD2/3 levels. We aimed to clarify the relation between DRD2/3 availability and BMI by examining this association in a large sample of subjects with BMI spanning the continuum from underweight to extremely obese. SUBJECTS 130 healthy subjects between 18 and 81years old underwent PET with [18F]fallypride, a high affinity DRD2/3 ligand. RESULTS As expected, DRD2/3 availability declined with age. Critically, age significantly interacted with DRD2/3 availability in predicting BMI in the midbrain and striatal regions (caudate, putamen, and ventral striatum). Among subjects under 30years old, BMI was not associated with DRD2/3 availability. By contrast, among subjects over 30years old, BMI was positively associated with DRD2/3 availability in the midbrain, putamen, and ventral striatum. CONCLUSION The present results are incompatible with the prominent dopaminergic hypofunction hypothesis that proposes that a reduction in DRD2/3 availability is associated with increased BMI, and highlights the importance of age in assessing correlates of DRD2/3 function.
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Affiliation(s)
- Linh C Dang
- Department of Psychology, Vanderbilt University, 219 Wilson Hall, 111 21st Avenue South, Nashville, TN 37203, USA.
| | | | - Jaime J Castrellon
- Department of Psychology, Vanderbilt University, 219 Wilson Hall, 111 21st Avenue South, Nashville, TN 37203, USA
| | - Scott F Perkins
- Department of Psychology, Vanderbilt University, 219 Wilson Hall, 111 21st Avenue South, Nashville, TN 37203, USA
| | - Ronald L Cowan
- Department of Psychiatry, Vanderbilt University School of Medicine, 1601 23rd Ave South, Nashville, TN 37212, USA; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, 1211 Medical Center Drive, Nashville, TN 37232, USA
| | - David H Zald
- Department of Psychology, Vanderbilt University, 219 Wilson Hall, 111 21st Avenue South, Nashville, TN 37203, USA; Department of Psychiatry, Vanderbilt University School of Medicine, 1601 23rd Ave South, Nashville, TN 37212, USA
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41
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Kline RL, Zhang S, Farr OM, Hu S, Zaborszky L, Samanez-Larkin GR, Li CSR. The Effects of Methylphenidate on Resting-State Functional Connectivity of the Basal Nucleus of Meynert, Locus Coeruleus, and Ventral Tegmental Area in Healthy Adults. Front Hum Neurosci 2016; 10:149. [PMID: 27148006 PMCID: PMC4834346 DOI: 10.3389/fnhum.2016.00149] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2015] [Accepted: 03/24/2016] [Indexed: 12/12/2022] Open
Abstract
Background: Methylphenidate (MPH) influences catecholaminergic signaling. Extant work examined the effects of MPH on the neural circuits of attention and cognitive control, but few studies have investigated the effect of MPH on the brain's resting-state functional connectivity (rsFC). Methods: In this observational study, we compared rsFC of a group of 24 healthy adults who were administered an oral 45 mg dose of MPH with a group of 24 age and gender matched controls who did not receive MPH. We focused on three seed regions: basal nucleus of Meynert (BNM), locus coeruleus (LC), and ventral tegmental area/substantia nigra, pars compacta (VTA/SNc), each providing cholinergic, noradrenergic and dopaminergic inputs to the cerebral cortex. Images were pre-processed and analyzed as in our recent work (Li et al., 2014; Zhang et al., 2015). We used one-sample t-test to characterize group-specific rsFC of each seed region and two-sample t-test to compare rsFC between groups. Results: MPH reversed negative connectivity between BNM and precentral gyri. MPH reduced positive connectivity between LC and cerebellum, and induced positive connectivity between LC and right hippocampus. MPH decreased positive VTA/SNc connectivity to the cerebellum and putamen, and reduced negative connectivity to left middle occipital gyrus. Conclusion: MPH had distinct effects on the rsFC of BNM, LC, and VTA/SNc in healthy adults. These new findings may further our understanding of the role of catecholaminergic signaling in Attention Deficit Hyperactivity Disorder (ADHD) and Parkinson's disease and provide insights into the therapeutic mechanisms of MPH in the treatment of clinical conditions that implicate catecholaminergic dysfunction.
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Affiliation(s)
- Ryan L Kline
- Department of Psychology, Yale University School of Arts and Sciences New Haven, CT, USA
| | - Sheng Zhang
- Department of Psychiatry, Yale University School of Medicine New Haven, CT, USA
| | - Olivia M Farr
- Interdepartmental Neuroscience Program, Yale University New Haven, CT, USA
| | - Sien Hu
- Department of Psychiatry, Yale University School of Medicine New Haven, CT, USA
| | - Laszlo Zaborszky
- Center for Molecular and Behavioral Neuroscience Rutgers, NJ, USA
| | - Gregory R Samanez-Larkin
- Department of Psychology, Yale University School of Arts and SciencesNew Haven, CT, USA; Interdepartmental Neuroscience Program, Yale UniversityNew Haven, CT, USA
| | - Chiang-Shan R Li
- Department of Psychiatry, Yale University School of MedicineNew Haven, CT, USA; Interdepartmental Neuroscience Program, Yale UniversityNew Haven, CT, USA; Department of Neurobiology, Yale University School of MedicineNew Haven, CT, USA
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42
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Abstract
As the global population ages, older decision makers will be required to take greater responsibility for their own physical, psychological and financial well-being. With this in mind, researchers have begun to examine the effects of ageing on decision making and associated neural circuits. A new 'affect-integration-motivation' (AIM) framework may help to clarify how affective and motivational circuits support decision making. Recent research has shed light on whether and how ageing influences these circuits, providing an interdisciplinary account of how ageing can alter decision making.
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Affiliation(s)
- Gregory R Samanez-Larkin
- 1] Department of Psychology, 2 Hillhouse Avenue, Yale University, New Haven, Connecticut 06520, USA. [2]
| | - Brian Knutson
- 1] Department of Psychology, Building 420, Jordan Hall, Stanford University, Stanford, California 94305, USA. [2]
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43
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Dang LC, Samanez-Larkin GR, Young JS, Cowan RL, Kessler RM, Zald DH. Caudate asymmetry is related to attentional impulsivity and an objective measure of ADHD-like attentional problems in healthy adults. Brain Struct Funct 2014; 221:277-86. [PMID: 25269835 DOI: 10.1007/s00429-014-0906-6] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2013] [Accepted: 09/24/2014] [Indexed: 10/24/2022]
Abstract
Case-control studies comparing ADHD with typically developing individuals suggest that anatomical asymmetry of the caudate nucleus is a marker of attention deficit hyperactivity disorder (ADHD). However, there is no consensus on whether the asymmetry favors the right or left caudate nucleus in ADHD, or whether the asymmetry is increased or decreased in ADHD. The current study aimed to clarify this relationship by applying a dimensional approach to assessing ADHD symptoms that, instead of relying on clinical classification, utilizes the natural behavioral continuum of traits related to ADHD. Structural T1-weighted MRI was collected from 71 adults between 18 and 35 years and analyzed for caudate asymmetry. ADHD-like attentional symptoms were assessed with an objective measure of attentional problems, the ADHD score from the Test of Variables of Attention (TOVA). Impulsivity, a core feature in ADHD, was measured using the Barratt Impulsiveness Scale, a self-report measure that assesses attentional, non-planning, and motor features of impulsivity. We found that larger right relative to left caudate volumes correlated with both higher attentional impulsiveness and worse ADHD scores on the TOVA. Higher attentional impulsiveness also correlated with worse ADHD scores, establishing coherence between the objective measure and the self-report measure of attentional problems. These results suggest that a differential passage of information through frontal-striatal networks may produce instability leading to attentional problems. The findings also demonstrate the utility of a dimensional approach to understanding structural correlates of ADHD symptoms.
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Affiliation(s)
- Linh C Dang
- Department of Psychology, Vanderbilt University, 219 Wilson Hall, 111 21st Avenue South, Nashville, TN, 37203, USA.
| | | | - Jacob S Young
- Department of Psychology, Vanderbilt University, 219 Wilson Hall, 111 21st Avenue South, Nashville, TN, 37203, USA
| | - Ronald L Cowan
- Department of Psychiatry, Vanderbilt University School of Medicine, 1601 23rd Ave South, Nashville, TN, 37212, USA.,Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, 1211 Medical Center Drive, Nashville, TN, 37232, USA
| | - Robert M Kessler
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, 1211 Medical Center Drive, Nashville, TN, 37232, USA
| | - David H Zald
- Department of Psychology, Vanderbilt University, 219 Wilson Hall, 111 21st Avenue South, Nashville, TN, 37203, USA.,Department of Psychiatry, Vanderbilt University School of Medicine, 1601 23rd Ave South, Nashville, TN, 37212, USA
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44
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Samanez-Larkin GR, Li SC, Ridderinkhof KR. Complementary approaches to the study of decision making across the adult life span. Front Neurosci 2014; 7:243. [PMID: 24391529 PMCID: PMC3868708 DOI: 10.3389/fnins.2013.00243] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2013] [Accepted: 11/28/2013] [Indexed: 11/15/2022] Open
Affiliation(s)
| | - Shu-Chen Li
- Lifespan Developmental Neuroscience, Department of Psychology TU Dresden, Dresden, Germany ; Center for Lifespan Psychology, Max Planck Institute for Human Development Berlin, Germany
| | - K Richard Ridderinkhof
- Department of Psychology, University of Amsterdam Amsterdam, Netherlands ; Amsterdam Brain and Cognition, University of Amsterdam Amsterdam, Netherlands
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45
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Wu CC, Samanez-Larkin GR, Katovich K, Knutson B. Affective traits link to reliable neural markers of incentive anticipation. Neuroimage 2014; 84:279-89. [PMID: 24001457 PMCID: PMC3849140 DOI: 10.1016/j.neuroimage.2013.08.055] [Citation(s) in RCA: 96] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2013] [Revised: 08/12/2013] [Accepted: 08/24/2013] [Indexed: 11/18/2022] Open
Abstract
While theorists have speculated that different affective traits are linked to reliable brain activity during anticipation of gains and losses, few have directly tested this prediction. We examined these associations in a community sample of healthy human adults (n=52) as they played a Monetary Incentive Delay task while undergoing functional magnetic resonance imaging (FMRI). Factor analysis of personality measures revealed that subjects independently varied in trait Positive Arousal and trait Negative Arousal. In a subsample (n=14) retested over 2.5years later, left nucleus accumbens (NAcc) activity during anticipation of large gains (+$5.00) and right anterior insula activity during anticipation of large losses (-$5.00) showed significant test-retest reliability (intraclass correlations>0.50, p's<0.01). In the full sample (n=52), trait Positive Arousal correlated with individual differences in left NAcc activity during anticipation of large gains, while trait Negative Arousal correlated with individual differences in right anterior insula activity during anticipation of large losses. Associations of affective traits with neural activity were not attributable to the influence of other potential confounds (including sex, age, wealth, and motion). Together, these results demonstrate selective links between distinct affective traits and reliably-elicited activity in neural circuits associated with anticipation of gain versus loss. The findings thus reveal neural markers for affective dimensions of healthy personality, and potentially for related psychiatric symptoms.
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Affiliation(s)
- Charlene C. Wu
- Psychology and Neuroscience, Stanford University, Stanford, CA 94305
| | | | - Kiefer Katovich
- Psychology and Neuroscience, Stanford University, Stanford, CA 94305
| | - Brian Knutson
- Psychology and Neuroscience, Stanford University, Stanford, CA 94305
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46
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Abstract
Three alternative mechanisms for age-related decline in memory search have been proposed, which result from either reduced processing speed (global slowing hypothesis), overpersistence on categories (cluster-switching hypothesis), or the inability to maintain focus on local cues related to a decline in working memory (cue-maintenance hypothesis). We investigated these 3 hypotheses by formally modeling the semantic recall patterns of 185 adults between 27 to 99 years of age in the animal fluency task (Thurstone, 1938). The results indicate that people switch between global frequency-based retrieval cues and local item-based retrieval cues to navigate their semantic memory. Contrary to the global slowing hypothesis that predicts no qualitative differences in dynamic search processes and the cluster-switching hypothesis that predicts reduced switching between retrieval cues, the results indicate that as people age, they tend to switch more often between local and global cues per item recalled, supporting the cue-maintenance hypothesis. Additional support for the cue-maintenance hypothesis is provided by a negative correlation between switching and digit span scores and between switching and total items recalled, which suggests that cognitive control may be involved in cue maintenance and the effective search of memory. Overall, the results are consistent with age-related decline in memory search being a consequence of reduced cognitive control, consistent with models suggesting that working memory is related to goal perseveration and the ability to inhibit distracting information.
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Benningfield MM, Blackford JU, Ellsworth ME, Samanez-Larkin GR, Martin PR, Cowan RL, Zald DH. Caudate responses to reward anticipation associated with delay discounting behavior in healthy youth. Dev Cogn Neurosci 2013; 7:43-52. [PMID: 24309299 PMCID: PMC3932556 DOI: 10.1016/j.dcn.2013.10.009] [Citation(s) in RCA: 78] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2013] [Revised: 10/29/2013] [Accepted: 10/30/2013] [Indexed: 12/03/2022] Open
Abstract
Greater discounting of future rewards may be a marker for vulnerability for substance abuse. We tested for an association between discounting and brain responses to reward in healthy youth. Left ventromedial caudate activation during anticipation of potential reward was associated with the willingness to delay gratification.
Background Choices requiring delay of gratification made during adolescence can have significant impact on life trajectory. Willingness to delay gratification can be measured using delay discounting tasks that require a choice between a smaller immediate reward and a larger delayed reward. Individual differences in the subjective value of delayed rewards are associated with risk for development of psychopathology including substance abuse. The neurobiological underpinnings related to these individual differences early in life are not fully understood. Using functional magnetic resonance imaging (fMRI), we tested the hypothesis that individual differences in delay discounting behavior in healthy youth are related to differences in responsiveness to potential reward. Method Nineteen 10–14 year-olds performed a monetary incentive delay task to assess neural sensitivity to potential reward and a questionnaire to measure discounting of future monetary rewards. Results Left ventromedial caudate activation during anticipation of potential reward was negatively correlated with delay discounting behavior. There were no regions where brain responses during notification of reward outcome were associated with discounting behavior. Conclusions Brain activation during anticipation of potential reward may serve as a marker for individual differences in ability or willingness to delay gratification in healthy youth.
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Affiliation(s)
- Margaret M Benningfield
- Department of Psychiatry, Vanderbilt University School of Medicine, 1601 23rd Avenue South, Nashville, TN 37212, United States; Department of Pediatrics, Vanderbilt University School of Medicine, 2200 Children's Way, Nashville, TN, 37232, United States.
| | - Jennifer U Blackford
- Department of Psychiatry, Vanderbilt University School of Medicine, 1601 23rd Avenue South, Nashville, TN 37212, United States; Department of Psychology, Vanderbilt University, 2301 Vanderbilt Place, PMB 407817, Nashville, TN 37240, United States.
| | - Melissa E Ellsworth
- Department of Psychiatry, Vanderbilt University School of Medicine, 1601 23rd Avenue South, Nashville, TN 37212, United States.
| | | | - Peter R Martin
- Department of Psychiatry, Vanderbilt University School of Medicine, 1601 23rd Avenue South, Nashville, TN 37212, United States; Department of Pharmacology, Vanderbilt University School of Medicine, Nashville, TN, 215 Light Hall, Nashville, TN 37232, United States.
| | - Ronald L Cowan
- Department of Psychiatry, Vanderbilt University School of Medicine, 1601 23rd Avenue South, Nashville, TN 37212, United States; Department of Psychology, Vanderbilt University, 2301 Vanderbilt Place, PMB 407817, Nashville, TN 37240, United States; Department of Radiology and Radiological Sciences, Vanderbilt University School of Medicine, 1161 Medical Center Drive, Medical Center North, Suite CCC-1100, Nashville, TN 37232, United States.
| | - David H Zald
- Department of Psychiatry, Vanderbilt University School of Medicine, 1601 23rd Avenue South, Nashville, TN 37212, United States; Department of Psychology, Vanderbilt University, 2301 Vanderbilt Place, PMB 407817, Nashville, TN 37240, United States.
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48
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Samanez-Larkin GR, Buckholtz JW, Cowan RL, Woodward ND, Li R, Ansari MS, Arrington CM, Baldwin RM, Smith CE, Treadway MT, Kessler RM, Zald DH. A thalamocorticostriatal dopamine network for psychostimulant-enhanced human cognitive flexibility. Biol Psychiatry 2013; 74:99-105. [PMID: 23273721 PMCID: PMC3615042 DOI: 10.1016/j.biopsych.2012.10.032] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2012] [Revised: 10/31/2012] [Accepted: 10/31/2012] [Indexed: 10/27/2022]
Abstract
BACKGROUND Everyday life demands continuous flexibility in thought and behavior. We examined whether individual differences in dopamine function are related to variability in the effects of amphetamine on one aspect of flexibility: task switching. METHODS Forty healthy human participants performed a task-switching paradigm following placebo and oral amphetamine administration. [(18)F]fallypride was used to measure D2/D3 baseline receptor availability and amphetamine-stimulated dopamine release. RESULTS The majority of the participants showed amphetamine-induced benefits through reductions in switch costs. However, such benefits were variable. Individuals with higher baseline thalamic and cortical receptor availability and striatal dopamine release showed greater reductions in switch costs following amphetamine than individuals with lower levels. The relationship between dopamine receptors and stimulant-enhanced flexibility was partially mediated by striatal dopamine release. CONCLUSIONS These data indicate that the impact of the psychostimulant on cognitive flexibility is influenced by the status of dopamine within a thalamocorticostriatal network. Beyond demonstrating a link between this dopaminergic network and the enhancement in task switching, these neural measures accounted for unique variance in predicting the psychostimulant-induced cognitive enhancement. These results suggest that there may be measurable aspects of variability in the dopamine system that predispose certain individuals to benefit from and hence use psychostimulants for cognitive enhancement.
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Affiliation(s)
- Gregory R. Samanez-Larkin
- Psychological Sciences, Vanderbilt University, 111 21st Ave S, Nashville, TN 37240,Institute of Imaging Science, Vanderbilt University, 1161 21st Ave S, Nashville, TN 37232
| | - Joshua W. Buckholtz
- Department of Psychology, Harvard University, 33 Kirkland Street, Cambridge, MA 02138
| | - Ronald L. Cowan
- Department of Psychiatry, Vanderbilt University, 1601 23rd Ave S, Nashville, TN 37212
| | - Neil D. Woodward
- Department of Psychiatry, Vanderbilt University, 1601 23rd Ave S, Nashville, TN 37212
| | - Rui Li
- Department of Radiology and Radiological Sciences, Vanderbilt University, 1211 Medical Center Drive, Nashville, TN 37232
| | - M. Sib Ansari
- Department of Radiology and Radiological Sciences, Vanderbilt University, 1211 Medical Center Drive, Nashville, TN 37232
| | - Catherine M. Arrington
- Department of Psychology, Lehigh University, 17 Memorial Drive East, Bethlehem, PA 18015
| | - Ronald M. Baldwin
- Molecular Neuroimaging, 60 Temple Street, Suite 8A, New Haven, CT 06510
| | - Clarence E. Smith
- DXP Imaging, Norton Neuroscience Institute, 5129 Dixie Highway #100, Louisville, KY 40216
| | - Michael T. Treadway
- Department of Psychiatry, McLean Hospital/Harvard Medical School, 115 Mill Street, Belmont, MA 02478
| | - Robert M. Kessler
- Department of Radiology and Radiological Sciences, Vanderbilt University, 1211 Medical Center Drive, Nashville, TN 37232
| | - David H. Zald
- Psychological Sciences, Vanderbilt University, 111 21st Ave S, Nashville, TN 37240,Department of Psychiatry, Vanderbilt University, 1601 23rd Ave S, Nashville, TN 37212
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49
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Samanez-Larkin GR. Financial Decision Making and the Aging Brain. APS Obs 2013; 26:30-33. [PMID: 23946614 PMCID: PMC3740974] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Grants] [Subscribe] [Scholar Register] [Indexed: 06/02/2023]
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50
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Garrett DD, Samanez-Larkin GR, MacDonald SWS, Lindenberger U, McIntosh AR, Grady CL. Moment-to-moment brain signal variability: a next frontier in human brain mapping? Neurosci Biobehav Rev 2013; 37:610-24. [PMID: 23458776 PMCID: PMC3732213 DOI: 10.1016/j.neubiorev.2013.02.015] [Citation(s) in RCA: 364] [Impact Index Per Article: 33.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2012] [Revised: 02/13/2013] [Accepted: 02/19/2013] [Indexed: 11/26/2022]
Abstract
Neuroscientists have long observed that brain activity is naturally variable from moment-to-moment, but neuroimaging research has largely ignored the potential importance of this phenomenon. An emerging research focus on within-person brain signal variability is providing novel insights, and offering highly predictive, complementary, and even orthogonal views of brain function in relation to human lifespan development, cognitive performance, and various clinical conditions. As a result, brain signal variability is evolving as a bona fide signal of interest, and should no longer be dismissed as meaningless noise when mapping the human brain.
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Affiliation(s)
- Douglas D Garrett
- Max Planck Society-University College London Initiative: Computational Psychiatry and Aging Research (ICPAR); Center for Lifespan Psychology, Max Planck Institute for Human Development, Lentzeallee 94, 14195 Berlin, Germany.
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