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Lempert KM, Parthasarathi T, Linhares S, Ruh N, Kable JW. Positive autobiographical memory recall does not influence temporal discounting: an internal meta-analysis of experimental studies. JOURNAL OF ECONOMIC PSYCHOLOGY 2024; 103:102730. [PMID: 38799018 PMCID: PMC11113695 DOI: 10.1016/j.joep.2024.102730] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/29/2024]
Abstract
People tend to discount the value of future rewards as the delay to receiving them increases. This phenomenon, known as temporal discounting, may underlie many impulsive behaviors, such as drug abuse and overeating. Given the potential role of temporal discounting in maladaptive behaviors, many efforts have been made to find experimental manipulations that reduce temporal discounting. One class of manipulations that has held some promise involves recalling positive autobiographical memories prior to making intertemporal choices. Just as imagining positive future events has been shown to reduce temporal discounting, a few studies have shown that recalling positive past events reduces temporal discounting, especially if memory retrieval evokes positive affective states, such as gratitude and nostalgia. However, we failed to replicate these findings. Here we present an internal meta-analysis combining data from 14 studies (n = 758) that involved within-subjects positive memory recall-based manipulations. In each study, temporal discounting was assessed using a monetary intertemporal choice task. The average effect size was not significantly different from zero. This finding helps elucidate the neurocognitive mechanisms of temporal discounting; whereas engaging the episodic memory system to imagine future events might promote more patience, engaging the episodic memory system to imagine past events does not.
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Affiliation(s)
| | | | - Samantha Linhares
- Department of Psychology, University of Pennsylvania, Philadelphia, PA 19104
| | - Natalia Ruh
- Department of Psychology, University of Pennsylvania, Philadelphia, PA 19104
| | - Joseph W. Kable
- Department of Psychology, University of Pennsylvania, Philadelphia, PA 19104
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Recław R, Chmielowiec K, Suchanecka A, Boroń A, Chmielowiec J, Strońska-Pluta A, Kowalski MT, Masiak J, Trybek G, Grzywacz A. The Influence of Genetic Polymorphic Variability of the Catechol-O-methyltransferase Gene in a Group of Patients with a Diagnosis of Behavioural Addiction, including Personality Traits. Genes (Basel) 2024; 15:299. [PMID: 38540358 PMCID: PMC10969953 DOI: 10.3390/genes15030299] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Revised: 02/24/2024] [Accepted: 02/24/2024] [Indexed: 04/02/2024] Open
Abstract
Gambling Disorder (GD) is characterised by a harmful, enduring, and recurrent involvement in betting-related behaviours. Therefore, GD shares similar biological mechanisms and symptoms to substance use disorders (SUD). Therefore, in this study, we chose the behavioural addictions group. During the examination and recruitment to the study, it turned out that all the people undergoing treatment for gambling addiction were also addicted to amphetamines, which is consistent with the biological mechanism related to cerebral neurotransmission. The aim of the study was to investigate the association of the COMT gene polymorphism with behavioral addiction. The study group consisted of 307 participants: 107 men with gambling disorder and amphetamine dependency (mean age = 27.51, SD = 5.25) and 200 non-addicted, nor dependent, free from neuro-psychiatric disorders control group men (mean age = 20.20, SD = 4.51). Both groups were subjected to psychometric evaluation using the State-Trait Anxiety Inventory and the NEO Five-Factor Personality Inventory. Genomic DNA was extracted from venous blood following standard protocols. Determination of the rs4680 polymorphism in the COMT gene was performed using the real-time PCR technique. Statistically significant differences in the frequency of rs4680 genotypes were found in the tested sample of subjects compared with the control group (p = 0.03543). Subjects with gambling disorder and amphetamine use disorder compared to the control group obtained higher scores in the assessment of the STAI trait scale (p = 0.0019), state scale (p < 0.0000), and NEO-FFI Neuroticism scale (p < 0.0000). Significantly lower results were obtained for the NEO-FFI Agreeability scale (p < 0.0000). Additionally, a significant statistical impact of gambling disorder and amphetamine use disorder, and the COMT rs4680 genotype was demonstrated for the score of the STAI trait (p = 0.0351) and state (p = 0.0343) and the NEO-FFI Conscientiousness scale (p = 0.0018). We conclude that COMT and its polymorphic variant influence the development of addiction. Still, considering its multifactorial and polygenic nature, it should be combined with other factors such as personality.
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Affiliation(s)
- Remigiusz Recław
- Foundation Strong in the Spirit, 60 Sienkiewicza St., 90-058 Łódź, Poland;
| | - Krzysztof Chmielowiec
- Department of Hygiene and Epidemiology, Collegium Medicum, University of Zielona Góra, 28 Zyty St., 65-046 Zielona Góra, Poland; (K.C.); (J.C.)
| | - Aleksandra Suchanecka
- Independent Laboratory of Health Promotion, Pomeranian Medical University in Szczecin, Powstańców Wielkopolskich 72 St., 70-111 Szczecin, Poland; (A.S.); (A.S.-P.)
| | - Agnieszka Boroń
- Department of Clinical and Molecular Biochemistry, Pomeranian Medical University in Szczecin, Aleja Powstańców Wielkopolskich 72 St., 70-111 Szczecin, Poland;
| | - Jolanta Chmielowiec
- Department of Hygiene and Epidemiology, Collegium Medicum, University of Zielona Góra, 28 Zyty St., 65-046 Zielona Góra, Poland; (K.C.); (J.C.)
| | - Aleksandra Strońska-Pluta
- Independent Laboratory of Health Promotion, Pomeranian Medical University in Szczecin, Powstańców Wielkopolskich 72 St., 70-111 Szczecin, Poland; (A.S.); (A.S.-P.)
| | - Michał Tomasz Kowalski
- Clinical Department of Cardiology, Nowa Sól Multidisciplinary Hospital, 67-100 Nowa Sol, Poland;
| | - Jolanta Masiak
- II Department of Psychiatry and Psychiatric Rehabilitation, Medical University of Lublin, 1 Głuska St., 20-059 Lublin, Poland;
| | - Grzegorz Trybek
- Department of Oral Surgery, Pomeranian Medical University in Szczecin, 70-111 Szczecin, Poland;
- Maxillofacial Surgery Clinic, 4th Military Clinical Hospital in Wroclaw, ul. Rudolfa Weigla 5, 50-981 Wrolaw, Poland
| | - Anna Grzywacz
- Independent Laboratory of Health Promotion, Pomeranian Medical University in Szczecin, Powstańców Wielkopolskich 72 St., 70-111 Szczecin, Poland; (A.S.); (A.S.-P.)
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DeRosa J, Rosch KS, Mostofsky SH, Nikolaidis A. Developmental deviation in delay discounting as a transdiagnostic indicator of risk for child psychopathology. J Child Psychol Psychiatry 2024; 65:148-164. [PMID: 37524685 PMCID: PMC10828118 DOI: 10.1111/jcpp.13870] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/19/2023] [Indexed: 08/02/2023]
Abstract
BACKGROUND The tendency to prefer smaller, immediate rewards over larger, delayed rewards is known as delay discounting (DD). Developmental deviations in DD may be key in characterizing psychiatric and neurodevelopmental disorders. Recent work empirically supported DD as a transdiagnostic process in various psychiatric disorders. Yet, there is a lack of research relating developmental changes in DD from mid-childhood to adolescence to psychiatric and neurodevelopmental disorders. Additionally, examining the interplay between socioeconomic status/total household income (THI) and psychiatric symptoms is vital for a more comprehensive understanding of pediatric pathology and its complex relationship with DD. METHODS The current study addresses this gap in a robust psychiatric sample of 1843 children and adolescents aged 5-18 (M = 10.6, SD = 3.17; 1,219 males, 624 females). General additive models (GAMs) characterized the shape of age-related changes in monetary and food reward discounting for nine psychiatric disorders compared with neurotypical youth (NT; n = 123). Over 40% of our sample possessed a minimum of at least three psychiatric or neurodevelopmental disorders. We used bootstrap-enhanced Louvain community detection to map DD-related comorbidity patterns. We derived five subtypes based on diagnostic categories present in our sample. DD patterns were then compared across each of the subtypes. Further, we evaluated the effect of cognitive ability, emotional and behavioral problems, and THI in relation to DD across development. RESULTS Higher discounting was found in six of the nine disorders we examined relative to NT. DD was consistently elevated across development for most disorders, except for depressive disorders, with age-specific DD differences compared with NTs. Community detection analyses revealed that one comorbidity subtype consisting primarily of Attention-Deficit/Hyperactivity Disorder (ADHD) Combined Presentation and anxiety disorders displayed the highest overall emotional/behavioral problems and greater DD for the food reward. An additional subtype composed mainly of ADHD, predominantly Inattentive Presentation, learning, and developmental disorders, showed the greatest DD for food and monetary rewards compared with the other subtypes. This subtype had deficits in reasoning ability, evidenced by low cognitive and academic achievement performance. For this ADHD-I and developmental disorders subtype, THI was related to DD across the age span such that participants with high THI showed no differences in DD compared with NTs. In contrast, participants with low THI showed significantly worse DD trajectories than all others. Our results also support prior work showing that DD follows nonlinear developmental patterns. CONCLUSIONS We demonstrate preliminary evidence for DD as a transdiagnostic marker of psychiatric and neurodevelopmental disorders in children and adolescents. Comorbidity subtypes illuminate DD heterogeneity, facilitating the identification of high-risk individuals. Importantly, our findings revealed a marked link between DD and intellectual reasoning, with children from lower-income households exhibiting lower reasoning skills and heightened DD. These observations underscore the potential consequences of compromised self-regulation in economically disadvantaged individuals with these disorders, emphasizing the need for tailored interventions and further research to support improved outcomes.
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Affiliation(s)
- Jacob DeRosa
- Center for the Developing Brain, Child Mind Institute, New York, NY, USA
- Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO, USA
| | - Keri S Rosch
- Center for Neurodevelopmental and Imaging Research, Kennedy Krieger Institute, Baltimore, MD, USA
- Department of Neuropsychology, Kennedy Krieger Institute, Baltimore, MD, USA
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Stewart H Mostofsky
- Center for Neurodevelopmental and Imaging Research, Kennedy Krieger Institute, Baltimore, MD, USA
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Aki Nikolaidis
- Center for the Developing Brain, Child Mind Institute, New York, NY, USA
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Conti AA, Baldacchino AM. Early-onset smoking theory of compulsivity development: a neurocognitive model for the development of compulsive tobacco smoking. Front Psychiatry 2023; 14:1209277. [PMID: 37520221 PMCID: PMC10372444 DOI: 10.3389/fpsyt.2023.1209277] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Accepted: 06/22/2023] [Indexed: 08/01/2023] Open
Abstract
According to the literature, individuals who start tobacco smoking during adolescence are at greater risk of developing severe tobacco addiction and heavier smoking behavior in comparison with individuals who uptake tobacco smoking during subsequent developmental stages. As suggested by animal models, this may be related to the unique neuroadaptive and neurotoxic effects of nicotine on adolescents' fronto-striatal brain regions modulating cognitive control and impulsivity. Previous research has proposed that these neuroadaptive and neurotoxic effects may cause a heightened reward-oriented impulsive behavior that may foster smoking relapses during quit attempts. However, developments in the field of addiction neuroscience have proposed drug addiction to represent a type of compulsive behavior characterized by the persistent use of a particular drug despite evident adverse consequences. One brain region that has received increased attention in recent years and that has been proposed to play a central role in modulating such compulsive drug-seeking and using behavior is the insular cortex. Lesion studies have shown that structural damages in the insular cortex may disrupt smoking behavior, while neuroimaging studies reported lower gray matter volume in the anterior insular cortex of chronic smokers compared with non-smokers, in addition to correlations between gray matter volume in the anterior insular cortex and measures of compulsive cigarette smoking. Based on the findings of our recent study reporting on early-onset smokers (mean age at regular smoking initiation = 13.2 years) displaying lower gray matter and white matter volume in the anterior insular cortex compared to late-onset smokers (mean age at regular smoking initiation = 18.0 years), we propose that the anterior insular cortex may play a central role in mediating the association between smoking uptake during adolescence and smoking heaviness/tobacco addiction during adulthood.
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Affiliation(s)
- Aldo Alberto Conti
- Department of Child and Adolescent Psychiatry, King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, United Kingdom
- Division of Population and Behavioral Science, University of St Andrews School of Medicine, St Andrews, United Kingdom
| | - Alexander Mario Baldacchino
- Division of Population and Behavioral Science, University of St Andrews School of Medicine, St Andrews, United Kingdom
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Thome J, Pinger M, Durstewitz D, Sommer WH, Kirsch P, Koppe G. Model-based experimental manipulation of probabilistic behavior in interpretable behavioral latent variable models. Front Neurosci 2023; 16:1077735. [PMID: 36699538 PMCID: PMC9868576 DOI: 10.3389/fnins.2022.1077735] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2022] [Accepted: 12/14/2022] [Indexed: 01/11/2023] Open
Abstract
Introduction Interpretable latent variable models that probabilistically link behavioral observations to an underlying latent process have increasingly been used to draw inferences on cognition from observed behavior. The latent process usually connects experimental variables to cognitive computation. While such models provide important insights into the latent processes generating behavior, one important aspect has often been overlooked. They may also be used to generate precise and falsifiable behavioral predictions as a function of the modeled experimental variables. In doing so, they pinpoint how experimental conditions must be designed to elicit desired behavior and generate adaptive experiments. Methods These ideas are exemplified on the process of delay discounting (DD). After inferring DD models from behavior on a typical DD task, the models are leveraged to generate a second adaptive DD task. Experimental trials in this task are designed to elicit 9 graded behavioral discounting probabilities across participants. Models are then validated and contrasted to competing models in the field by assessing the ouf-of-sample prediction error. Results The proposed framework induces discounting probabilities on nine levels. In contrast to several alternative models, the applied model exhibits high validity as indicated by a comparably low prediction error. We also report evidence for inter-individual differences with respect to the most suitable models underlying behavior. Finally, we outline how to adapt the proposed method to the investigation of other cognitive processes including reinforcement learning. Discussion Inducing graded behavioral frequencies with the proposed framework may help to highly resolve the underlying cognitive construct and associated neuronal substrates.
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Affiliation(s)
- Janine Thome
- Department of Theoretical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany,Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Mathieu Pinger
- Department of Clinical Psychology, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Daniel Durstewitz
- Department of Theoretical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany,Faculty of Physics and Astronomy, Heidelberg University, Heidelberg, Germany
| | - Wolfgang H. Sommer
- Institute of Psychopharmacology, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Peter Kirsch
- Department of Clinical Psychology, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany,Institute of Psychology, Heidelberg University, Heidelberg, Germany
| | - Georgia Koppe
- Department of Theoretical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany,Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany,*Correspondence: Georgia Koppe,
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Ye Y, Wang Y. Multivariate analysis differentiates intertemporal choices in both value and cognitive control network. Front Neurosci 2023; 17:1037294. [PMID: 36925738 PMCID: PMC10011120 DOI: 10.3389/fnins.2023.1037294] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Accepted: 02/14/2023] [Indexed: 03/06/2023] Open
Abstract
Choices between immediate smaller reward and long-term larger reward are referred to as intertemporal choice. Numerous functional magnetic resonance imaging (fMRI) studies have investigated the neural substrates of intertemporal choice via conventional univariate analytical approaches, revealing dissociable activations of decisions involving immediately available rewards and decisions involving delayed rewards in value network. With the help of multivariate analyses, which is more sensitive for evaluating information encoded in spatially distributed patterns, we showed that fMRI activity patterns represent viable signatures of intertemporal choice, as well as individual differences while controlling for age. Notably, in addition to value network, regions from cognitive control network play prominent roles in differentiating between different intertemporal choices as well as individuals with distinct discount rates. These findings provide clear evidence that substantiates the important role of value and cognitive control networks in the neural representation of one's intertemporal decisions.
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Affiliation(s)
- Yuting Ye
- Institute of Psychology, School of Public Affairs, Xiamen University, Xiamen, China
| | - Yanqing Wang
- Institute of Psychology, Chinese Academy of Sciences, Beijing, China.,Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
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Impulsivity, Depressive Mood, and Cannabis Use in a Representative Sample of French-Speaking Swiss Young Men. Psychol Belg 2022; 62:230-240. [PMID: 35975101 PMCID: PMC9336687 DOI: 10.5334/pb.1120] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2021] [Accepted: 06/09/2022] [Indexed: 11/20/2022] Open
Abstract
Cannabis is the most popular psychoactive substance under international regulations, with more than 192 million users worldwide. It has been associated with an addictive pattern of use and negative social and health-related outcomes in a subgroup of users. Consequently, understanding the individual differences that contribute to cannabis use and problematic use is of much importance. The current study examined the impact of impulsivity traits (negative urgency, positive urgency, lack of premeditation, lack of perseverance, sensation seeking), delay reward discounting, and depressive mood on cannabis use status during the past 6 months as well as problematic use of cannabis in a representative sample of 635 French-speaking Swiss young men recruited during their conscription in a Swiss national military recruitment center. Binary logistic and multiple linear regressions indicated that cannabis use status was significantly associated with greater depressive mood, elevated sensation seeking, and lack of perseverance, whereas problematic cannabis use was significantly related to higher depressive mood and steeper delay reward discounting. The present study highlights the importance of emotional symptoms in cannabis use and misuse. Our results also shed light on the potential psychological processes related to problematic consumption of cannabis and open avenues for preventive actions and psychological interventions that target problematic use of cannabis.
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Keidel K, Ettinger U, Murawski C, Polner B. The network structure of impulsive personality and temporal discounting. JOURNAL OF RESEARCH IN PERSONALITY 2022. [DOI: 10.1016/j.jrp.2021.104166] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Conti AA, Baldacchino AM. Chronic tobacco smoking, impaired reward-based decision-making, and role of insular cortex: A comparison between early-onset smokers and late-onset smokers. Front Psychiatry 2022; 13:939707. [PMID: 36090372 PMCID: PMC9459116 DOI: 10.3389/fpsyt.2022.939707] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Accepted: 08/01/2022] [Indexed: 11/21/2022] Open
Abstract
INTRODUCTION The literature suggests that tobacco smoking may have a neurotoxic effect on the developing adolescent brain. Particularly, it may impair the decision-making process of early-onset smokers (<16 years), by rendering them more prone to impulsive and risky choices toward rewards, and therefore more prone to smoking relapses, in comparison to late-onset smokers (≥16 years). However, no study has ever investigated reward-based decision-making and structural brain differences between early-onset smokers and late-onset smokers. METHODS Computerized measures of reward-based decision-making [Cambridge Gambling Task (CGT); 5-trials adjusting delay discounting task (ADT-5)] were administered to 11 early-onset smokers (mean age at regular smoking initiation = 13.2 years), 17 late-onset smokers (mean age at regular smoking initiation = 18.0 years), and 24 non-smoker controls. Voxel-based morphometry (VBM) was utilized to investigate the gray matter (GM) and white matter (WM) volume differences in fronto-cortical and striatal brain regions between early-onset smokers, late-onset smokers, and non-smokers. RESULTS Early-onset smokers displayed a riskier decision-making behavior in comparison to non-smokers as assessed by the CGT (p < 0.01, Cohen's f = 0.48). However, no significant differences (p > 0.05) in reward-based decision-making were detected between early-onset smokers and late-onset smokers. VBM results revealed early-onset smokers to present lower GM volume in the bilateral anterior insular cortex (AI) in comparison to late-onset smokers and lower WM volume in the right AI in comparison to late-onset smokers. CONCLUSION Impairments in reward-based decision-making may not be affected by tobacco smoking initiation during early adolescence. Instead, lower GM and WM volume in the AI of early-onset smokers may underline a vulnerability to develop compulsive tobacco seeking and smoking behavior during adulthood.
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Affiliation(s)
- Aldo Alberto Conti
- Department of Child & Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Alexander Mario Baldacchino
- Division of Population and Behavioral Science, University of St Andrews School of Medicine, St Andrews, United Kingdom
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Keidel K, Rramani Q, Weber B, Murawski C, Ettinger U. Individual Differences in Intertemporal Choice. Front Psychol 2021; 12:643670. [PMID: 33935897 PMCID: PMC8085593 DOI: 10.3389/fpsyg.2021.643670] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Accepted: 03/08/2021] [Indexed: 11/23/2022] Open
Abstract
Intertemporal choice involves deciding between smaller, sooner and larger, later rewards. People tend to prefer smaller rewards that are available earlier to larger rewards available later, a phenomenon referred to as temporal or delay discounting. Despite its ubiquity in human and non-human animals, temporal discounting is subject to considerable individual differences. Here, we provide a critical narrative review of this literature and make suggestions for future work. We conclude that temporal discounting is associated with key socio-economic and health-related variables. Regarding personality, large-scale studies have found steeper temporal discounting to be associated with higher levels of self-reported impulsivity and extraversion; however, effect sizes are small. Temporal discounting correlates negatively with future-oriented cognitive styles and inhibitory control, again with small effect sizes. There are consistent associations between steeper temporal discounting and lower intelligence, with effect sizes exceeding those of personality or cognitive variables, although socio-demographic moderator variables may play a role. Neuroimaging evidence of brain structural and functional correlates is not yet consistent, neither with regard to areas nor directions of effects. Finally, following early candidate gene studies, recent Genome Wide Association Study (GWAS) approaches have revealed the molecular genetic architecture of temporal discounting to be more complex than initially thought. Overall, the study of individual differences in temporal discounting is a maturing field that has produced some replicable findings. Effect sizes are small-to-medium, necessitating future hypothesis-driven work that prioritizes large samples with adequate power calculations. More research is also needed regarding the neural origins of individual differences in temporal discounting as well as the mediating neural mechanisms of associations of temporal discounting with personality and cognitive variables.
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Affiliation(s)
- Kristof Keidel
- Department of Psychology, University of Bonn, Bonn, Germany
- Department of Finance, The University of Melbourne, Melbourne, VIC, Australia
| | - Qëndresa Rramani
- Center for Economics and Neuroscience, University of Bonn, Bonn, Germany
- Institute of Experimental Epileptology and Cognition Research, University of Bonn, Bonn, Germany
| | - Bernd Weber
- Center for Economics and Neuroscience, University of Bonn, Bonn, Germany
- Institute of Experimental Epileptology and Cognition Research, University of Bonn, Bonn, Germany
| | - Carsten Murawski
- Department of Finance, The University of Melbourne, Melbourne, VIC, Australia
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Abstract
Experimental design is fundamental to research, but formal methods to identify good designs are lacking. Advances in Bayesian statistics and machine learning offer algorithm-based ways to identify good experimental designs. Adaptive design optimization (ADO; Cavagnaro, Myung, Pitt, & Kujala, 2010; Myung, Cavagnaro, & Pitt, 2013) is one such method. It works by maximizing the informativeness and efficiency of data collection, thereby improving inference. ADO is a general-purpose method for conducting adaptive experiments on the fly and can lead to rapid accumulation of information about the phenomenon of interest with the fewest number of trials. The nontrivial technical skills required to use ADO have been a barrier to its wider adoption. To increase its accessibility to experimentalists at large, we introduce an open-source Python package, ADOpy, that implements ADO for optimizing experimental design. The package, available on GitHub, is written using high-level modular-based commands such that users do not have to understand the computational details of the ADO algorithm. In this paper, we first provide a tutorial introduction to ADOpy and ADO itself, and then illustrate its use in three walk-through examples: psychometric function estimation, delay discounting, and risky choice. Simulation data are also provided to demonstrate how ADO designs compare with other designs (random, staircase).
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Ahn WY, Gu H, Shen Y, Haines N, Hahn HA, Teater JE, Myung JI, Pitt MA. Rapid, precise, and reliable measurement of delay discounting using a Bayesian learning algorithm. Sci Rep 2020; 10:12091. [PMID: 32694654 PMCID: PMC7374100 DOI: 10.1038/s41598-020-68587-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2019] [Accepted: 06/25/2020] [Indexed: 11/24/2022] Open
Abstract
Machine learning has the potential to facilitate the development of computational methods that improve the measurement of cognitive and mental functioning. In three populations (college students, patients with a substance use disorder, and Amazon Mechanical Turk workers), we evaluated one such method, Bayesian adaptive design optimization (ADO), in the area of delay discounting by comparing its test-retest reliability, precision, and efficiency with that of a conventional staircase method. In all three populations tested, the results showed that ADO led to 0.95 or higher test-retest reliability of the discounting rate within 10-20 trials (under 1-2 min of testing), captured approximately 10% more variance in test-retest reliability, was 3-5 times more precise, and was 3-8 times more efficient than the staircase method. The ADO methodology provides efficient and precise protocols for measuring individual differences in delay discounting.
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Affiliation(s)
- Woo-Young Ahn
- Department of Psychology, Seoul National University, Seoul, 08826, Korea.
- Department of Psychology, The Ohio State University, Columbus, OH, USA.
| | - Hairong Gu
- Department of Psychology, The Ohio State University, Columbus, OH, USA
| | - Yitong Shen
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Nathaniel Haines
- Department of Psychology, The Ohio State University, Columbus, OH, USA
| | - Hunter A Hahn
- Department of Psychology, The Ohio State University, Columbus, OH, USA
| | - Julie E Teater
- Department of Psychiatry and Behavioral Health, The Ohio State University, Columbus, OH, USA
| | - Jay I Myung
- Department of Psychology, The Ohio State University, Columbus, OH, USA
| | - Mark A Pitt
- Department of Psychology, The Ohio State University, Columbus, OH, USA
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Sofis MJ, Lemley SM, Budney AJ, Stanger C, Jarmolowicz DP. Persisting on the past: Cross-sectional and prospective associations between sunk cost propensity and cannabis use. Exp Clin Psychopharmacol 2020; 28:225-234. [PMID: 31070426 PMCID: PMC6842029 DOI: 10.1037/pha0000299] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Prevalence of cannabis use in the United States continues to rise, and 30% of cannabis users eventually meet criteria for Cannabis Use Disorder (CUD). One response to this problem is to develop decision-making constructs that indicate vulnerability to CUD that might not be gleaned from diagnostic criteria. Unfortunately, there is limited evidence that decision-making constructs consistently relate to cannabis use. Interestingly, those who exhibit the sunk cost bias, an overgeneralized tendency to persist based on past investment, and those who use cannabis, both tend to focus on the past and perseverate more than their counterparts. Despite this overlap, no studies have assessed whether the sunk cost bias is positively associated with cannabis use. In 2 experiments with undergraduates, relations between cannabis use and the propensity to engage in the sunk cost bias were examined using negative binomial models. Experiment 1 (n = 46) evaluated the association between sunk cost bias propensity (using hypothetical costs and rewards) and frequency of cannabis use over the past 30 days. Greater sunk cost propensity was associated with more frequent cannabis use after controlling for demographics and alcohol use. In Experiment 2 (n = 103), more frequent cannabis use during a 6-week follow-up period was predicted by greater sunk cost propensity at baseline (using a real cost and reward-based task), independently and after controlling for mental health symptoms, alcohol use, and demographics. These findings provide preliminary evidence that a propensity to exhibit the sunk cost bias may be an important feature associated with cannabis use. (PsycInfo Database Record (c) 2020 APA, all rights reserved).
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Long EC, Kaneva R, Vasilev G, Moeller FG, Vassileva J. Neurocognitive and Psychiatric Markers for Addiction: Common vs. Specific Endophenotypes for Heroin and Amphetamine Dependence. Curr Top Med Chem 2020; 20:585-597. [PMID: 32003694 DOI: 10.2174/1568026620666200131124608] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2019] [Revised: 12/05/2019] [Accepted: 12/12/2019] [Indexed: 01/27/2023]
Abstract
BACKGROUND The differential utility of neurocognitive impulsivity and externalizing/ internalizing traits as putative endophenotypes for dependence on heroin vs. amphetamine is unclear. OBJECTIVE This exploratory study aims to determine: (1) whether neurocognitive impulsivity dimensions and externalizing/internalizing traits are correlated between siblings discordant for heroin and amphetamine dependence; and (2) which of these associations are common across substances and which are substance- specific. METHODS Pearson correlations between individuals with 'pure' heroin and amphetamine dependence and their unaffected biological siblings (n = 37 heroin sibling pairs; n = 30 amphetamine sibling pairs) were run on 10 neurocognitive measures, 6 externalizing measures, and 5 internalizing measures. Sibling pair effects were further examined using regression. RESULTS Siblings discordant for heroin dependence were significantly correlated on delay aversion on the Cambridge Gambling Task, risk-taking on the Balloon Analogue Risk Task, sensation seeking, and hopelessness. Siblings discordant for amphetamine dependence were significantly correlated on the quality of decision-making on the Cambridge Gambling Task, discriminability on the Immediate Memory Task, commission errors on the Go/No Go Task, trait impulsivity, ADHD and anxiety sensitivity. CONCLUSION Dimensions of impulsivity and externalizing/internalizing traits appear to aggregate among siblings discordant for substance dependence. Risk-taking propensity, sensation seeking and hopelessness were specific for heroin sibling pairs. Motor/action impulsivity, trait impulsivity, and anxiety sensitivity were specific to amphetamine sibling pairs. Decisional/choice impulsivity was common across both heroin and amphetamine sibling pairs. These findings provide preliminary evidence for the utility of neurocognitive impulsivity and externalizing/ internalizing traits as candidate endophenotypes for substance dependence in general and for substance-specific dependencies.
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Affiliation(s)
- Elizabeth C Long
- Edna Bennett Pierce Prevention Research Center, Pennsylvania State University, University Park, Pennsylvania PA, United States
| | - Radka Kaneva
- Department of Medical Chemistry and Biochemistry, Sofia Medical University, Sofia, Bulgaria
| | | | - F Gerard Moeller
- Institute for Drug and Alcohol Studies, Virginia Commonwealth University, Richmond, VA, United States.,Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, United States
| | - Jasmin Vassileva
- Institute for Drug and Alcohol Studies, Virginia Commonwealth University, Richmond, VA, United States.,Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, United States
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15
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Sofis MJ, Budney AJ, Stanger C, Knapp AA, Borodovsky JT. Greater delay discounting and cannabis coping motives are associated with more frequent cannabis use in a large sample of adult cannabis users. Drug Alcohol Depend 2020; 207:107820. [PMID: 31887604 PMCID: PMC7147078 DOI: 10.1016/j.drugalcdep.2019.107820] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/28/2019] [Revised: 11/20/2019] [Accepted: 12/10/2019] [Indexed: 12/15/2022]
Abstract
BACKGROUND Self-regulation deficits expressed through a decreased ability to value future rewards (delay discounting (DD)) and impaired emotion regulation (negative urgency (NU), cannabis coping motives (CCM), and anxiety sensitivity (AS)) relate to more frequent or problematic cannabis use. However, there is a need to better understand how self-regulation and emotion regulation constructs reflect competition between deliberative and reactive systems that drive individual differences in cannabis use patterns. Further, few studies assess frequency of cannabis use within and across days of use, which may obscure differentiation of individual differences. METHODS In a large national sample of 2545 cannabis users, Latent Class Analysis was used to derive participant sub-classes based on two frequency indices, self-reported cannabis use days and times cannabis was used per day. Three classes emerged: Low (1-9 days/month, 1 time/day; 23 %), moderate (10-29 days/month, 2-3 times/day; 41 %), and high (30 days/month, ≥4 times/day; 36 %). Relationships among frequency classes and emotional regulation and impulsivity were assessed with a multinomial logistic regression. RESULTS Higher frequency use was associated with greater DD (χ2 = 6.0, p = .05), greater CCM (χ2 = 73.3, p < .001), and lower cognitive AS (χ2 = 12.1, p = .002), when controlling for demographics, tobacco use, and number of cannabis administration methods. Frequency class and NU were not significantly associated. CONCLUSIONS Identifying meaningful patterns of cannabis use may improve our understanding of individual differences that increase risk of frequent or problematic cannabis use. Excessive delay discounting and using cannabis to cope with negative affect may be relevant targets for treatments designed to reduce cannabis use.
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Affiliation(s)
- Michael J Sofis
- Geisel School of Medicine, Dartmouth College, Center for Technology and Behavioral Health, 46 Centerra Parkway, Suite 315, Lebanon, NH, USA.
| | - Alan J Budney
- Geisel School of Medicine, Dartmouth College, Center for Technology and Behavioral Health, 46 Centerra Parkway, Suite 315, Lebanon, NH, USA
| | - Catherine Stanger
- Geisel School of Medicine, Dartmouth College, Center for Technology and Behavioral Health, 46 Centerra Parkway, Suite 315, Lebanon, NH, USA
| | - Ashley A Knapp
- Department of Preventive Medicine, Northwestern University Center for Behavioral Intervention Technologies (CBITs), 750 N. Lake Shore Drive Chicago, IL, 60611, USA
| | - Jacob T Borodovsky
- Department of Psychiatry, Washington University School of Medicine in St. Louis, 660 South Euclid Avenue, Box 8134, St. Louis, MO, 63110, USA.
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16
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Sofis MJ, Lemley SM, Lee DC, Budney AJ. A web-based episodic specificity and future thinking session modulates delay discounting in cannabis users. PSYCHOLOGY OF ADDICTIVE BEHAVIORS 2020; 34:532-540. [PMID: 31999170 DOI: 10.1037/adb0000557] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Episodic future thinking (EFT), a brief intervention involving mental simulation of positive future events, improves delay discounting (DD) in nicotine and alcohol dependent individuals. This study is the first to assess effects of a single-session, online episodic training (ET) on constructs that might impact cannabis use and cannabis use disorder. A sample of 200 active cannabis users recruited via Amazon Mechanical Turk were randomized to an EFT group (n = 102) or an episodic recent thinking control group (ERT; n = 98). A novel episodic specificity induction (ES) was included to enhance quality of episodic thinking for the ET group, and an ES attention control was provided to the ERT group (control training group; CT). Quality and manipulation ratings of event excitement, vividness, importance, and enjoyment of trainings were collected in addition to DD tasks (gains and losses) and readiness to change cannabis use. The ET group reported higher overall quality and manipulation ratings than did the CT group (p < .001, d = 0.79). DD of gains was lower in the ET relative to those of the CT group after controlling for relevant variables (p = .003, d = 0.48), unlike DD of losses (p = .50, d = 0.11). The ET group showed larger pre/post increases in readiness to change, but they were not statistically significant (p = .069, d = 0.26). These effects, following a session of online ET, suggests that ET may positively impact factors related to reduction in cannabis use. Differential effects of EFT and ES components on DD and the development of ET as an adjunctive mHealth intervention targeting reduction in cannabis use appears warranted. (PsycInfo Database Record (c) 2020 APA, all rights reserved).
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17
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Scholten H, Scheres A, de Water E, Graf U, Granic I, Luijten M. Behavioral trainings and manipulations to reduce delay discounting: A systematic review. Psychon Bull Rev 2019; 26:1803-1849. [PMID: 31270766 PMCID: PMC6863952 DOI: 10.3758/s13423-019-01629-2] [Citation(s) in RCA: 54] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
In everyday decision-making, individuals make trade-offs between short-term and long-term benefits or costs. Depending on many factors, individuals may choose to wait for larger delayed reward, yet in other situations they may prefer the smaller, immediate reward. In addition to within-subject variation in the short-term versus long-term reward trade-off, there are also interindividual differences in delay discounting (DD), which have been shown to be quite stable. The extent to which individuals discount the value of delayed rewards turns out to be associated with important health and disorder-related outcomes: the more discounting, the more unhealthy or problematic choices. This has led to the hypothesis that DD can be conceptualized as trans-disease process. The current systematic review presents an overview of behavioral trainings and manipulations that have been developed to reduce DD in human participants aged 12 years or older. Manipulation studies mostly contain one session and measure DD directly after the manipulation. Training studies add a multiple session training component that is not per se related to DD, in between two DD task measurements. Ninety-eight studies (151 experiments) were identified that tested behavioral trainings and manipulations to decrease DD. Overall, results indicated that DD can be decreased, showing that DD is profoundly context dependent and changeable. Most promising avenues to pursue in future research seem to be acceptance-based/mindfulness-based trainings, and even more so manipulations involving a future orientation. Limitations and recommendations are discussed to identify the mechanistic processes that allow for changes in discount rate and behavior accordingly.
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Affiliation(s)
- Hanneke Scholten
- Behavioural Science Institute, Radboud University, P.O. Box 9104, 6500, HE, Nijmegen, The Netherlands.
| | - Anouk Scheres
- Behavioural Science Institute, Radboud University, P.O. Box 9104, 6500, HE, Nijmegen, The Netherlands
| | - Erik de Water
- Behavioural Science Institute, Radboud University, P.O. Box 9104, 6500, HE, Nijmegen, The Netherlands
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Uta Graf
- Behavioural Science Institute, Radboud University, P.O. Box 9104, 6500, HE, Nijmegen, The Netherlands
| | - Isabela Granic
- Behavioural Science Institute, Radboud University, P.O. Box 9104, 6500, HE, Nijmegen, The Netherlands
| | - Maartje Luijten
- Behavioural Science Institute, Radboud University, P.O. Box 9104, 6500, HE, Nijmegen, The Netherlands
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18
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Ekhtiari H, Tavakoli H, Addolorato G, Baeken C, Bonci A, Campanella S, Castelo-Branco L, Challet-Bouju G, Clark VP, Claus E, Dannon PN, Del Felice A, den Uyl T, Diana M, di Giannantonio M, Fedota JR, Fitzgerald P, Gallimberti L, Grall-Bronnec M, Herremans SC, Herrmann MJ, Jamil A, Khedr E, Kouimtsidis C, Kozak K, Krupitsky E, Lamm C, Lechner WV, Madeo G, Malmir N, Martinotti G, McDonald WM, Montemitro C, Nakamura-Palacios EM, Nasehi M, Noël X, Nosratabadi M, Paulus M, Pettorruso M, Pradhan B, Praharaj SK, Rafferty H, Sahlem G, Salmeron BJ, Sauvaget A, Schluter RS, Sergiou C, Shahbabaie A, Sheffer C, Spagnolo PA, Steele VR, Yuan TF, van Dongen JDM, Van Waes V, Venkatasubramanian G, Verdejo-García A, Verveer I, Welsh JW, Wesley MJ, Witkiewitz K, Yavari F, Zarrindast MR, Zawertailo L, Zhang X, Cha YH, George TP, Frohlich F, Goudriaan AE, Fecteau S, Daughters SB, Stein EA, Fregni F, Nitsche MA, Zangen A, Bikson M, Hanlon CA. Transcranial electrical and magnetic stimulation (tES and TMS) for addiction medicine: A consensus paper on the present state of the science and the road ahead. Neurosci Biobehav Rev 2019; 104:118-140. [PMID: 31271802 PMCID: PMC7293143 DOI: 10.1016/j.neubiorev.2019.06.007] [Citation(s) in RCA: 171] [Impact Index Per Article: 34.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2019] [Revised: 05/30/2019] [Accepted: 06/08/2019] [Indexed: 12/21/2022]
Abstract
There is growing interest in non-invasive brain stimulation (NIBS) as a novel treatment option for substance-use disorders (SUDs). Recent momentum stems from a foundation of preclinical neuroscience demonstrating links between neural circuits and drug consuming behavior, as well as recent FDA-approval of NIBS treatments for mental health disorders that share overlapping pathology with SUDs. As with any emerging field, enthusiasm must be tempered by reason; lessons learned from the past should be prudently applied to future therapies. Here, an international ensemble of experts provides an overview of the state of transcranial-electrical (tES) and transcranial-magnetic (TMS) stimulation applied in SUDs. This consensus paper provides a systematic literature review on published data - emphasizing the heterogeneity of methods and outcome measures while suggesting strategies to help bridge knowledge gaps. The goal of this effort is to provide the community with guidelines for best practices in tES/TMS SUD research. We hope this will accelerate the speed at which the community translates basic neuroscience into advanced neuromodulation tools for clinical practice in addiction medicine.
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Affiliation(s)
| | - Hosna Tavakoli
- Institute for Cognitive Science Studies (ICSS), Iran; Iranian National Center for Addiction Studies (INCAS), Iran
| | - Giovanni Addolorato
- Alcohol Use Disorder Unit, Division of Internal Medicine, Gastroenterology and Hepatology Unit, Catholic University of Rome, A. Gemelli Hospital, Rome, Italy; Fondazione Policlinico Universitario A Gemelli IRCCS, Rome, Italy
| | - Chris Baeken
- Department of Psychiatry and Medical Psychology, University Hospital Ghent, Ghent, Belgium
| | - Antonello Bonci
- Intramural Research Program, National Institute on Drug Abuse, National Institutes of Health, Baltimore, MD, USA; Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | | | | | | | - Vincent P Clark
- University of New Mexico, USA; The Mind Research Network, USA
| | | | | | - Alessandra Del Felice
- University of Padova, Department of Neuroscience, Padova, Italy; Padova Neuroscience Center (PNC), University of Padova, Padova, Italy
| | | | - Marco Diana
- 'G. Minardi' Laboratory of Cognitive Neuroscience, Department of Chemistry and Pharmacy, University of Sassari, Italy
| | | | - John R Fedota
- Neuroimaging Research Branch, National Institute on Drug Abuse, Intramural Research Program, National Institutes of Health, Baltimore, MD, USA
| | | | - Luigi Gallimberti
- Novella Fronda Foundation, Human Science and Brain Research, Padua, Italy
| | | | - Sarah C Herremans
- Department of Psychiatry and Medical Psychology, University Hospital Ghent, Ghent, Belgium
| | - Martin J Herrmann
- Center of Mental Health, Department of Psychiatry, Psychosomatics, and Psychotherapy, University Hospital of Würzburg, Würzburg, Germany
| | - Asif Jamil
- Leibniz Research Centre for Working Environment and Human Factors, Dortmund, Germany
| | | | | | - Karolina Kozak
- University of Toronto, Canada; Centre for Addiction and Mental Health (CAMH), Canada
| | - Evgeny Krupitsky
- V. M. Bekhterev National Medical Research Center for Psychiatry and Neurology, St.-Petersburg, Russia; St.-Petersburg First Pavlov State Medical University, Russia
| | - Claus Lamm
- Department of Basic Psychological Research and Research Methods, Faculty of Psychology, University of Vienna, Austria
| | | | - Graziella Madeo
- Intramural Research Program, National Institute on Drug Abuse, National Institutes of Health, Baltimore, MD, USA
| | | | | | - William M McDonald
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - Chiara Montemitro
- Intramural Research Program, National Institute on Drug Abuse, National Institutes of Health, Baltimore, MD, USA; University G.d'Annunzio of Chieti-Pescara, Italy
| | | | - Mohammad Nasehi
- Cognitive and Neuroscience Research Center (CNRC), Tehran Medical Sciences, Islamic Azad University, Tehran, Iran
| | - Xavier Noël
- Université Libre de Bruxelles (ULB), Belgium
| | | | | | | | | | - Samir K Praharaj
- Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, India
| | - Haley Rafferty
- Spaulding Rehabilitation Hospital, Harvard Medical School, USA
| | | | - Betty Jo Salmeron
- Intramural Research Program, National Institute on Drug Abuse, National Institutes of Health, Baltimore, MD, USA
| | - Anne Sauvaget
- Laboratory «Movement, Interactions, Performance» (E.A. 4334), University of Nantes, 25 Bis Boulevard Guy Mollet, BP 72206, 44322, Nantes Cedex 3, France; CHU de Nantes Addictology and Liaison Psychiatry Department, University Hospital Nantes, Nantes Cedex 3, France
| | - Renée S Schluter
- Laureate Institute for Brain Research, USA; Institute for Cognitive Science Studies (ICSS), Iran
| | | | - Alireza Shahbabaie
- Leibniz Research Centre for Working Environment and Human Factors, Dortmund, Germany
| | | | | | - Vaughn R Steele
- Neuroimaging Research Branch, National Institute on Drug Abuse, Intramural Research Program, National Institutes of Health, Baltimore, MD, USA
| | - Ti-Fei Yuan
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, China
| | | | - Vincent Van Waes
- Laboratoire de Neurosciences Intégratives et Cliniques EA481, Université Bourgogne Franche-Comté, Besançon, France
| | | | | | | | - Justine W Welsh
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | | | | | - Fatemeh Yavari
- Leibniz Research Centre for Working Environment and Human Factors, Dortmund, Germany
| | - Mohammad-Reza Zarrindast
- Department of Pharmacology School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Laurie Zawertailo
- University of Toronto, Canada; Centre for Addiction and Mental Health (CAMH), Canada
| | - Xiaochu Zhang
- University of Science and Technology of China, China
| | | | - Tony P George
- University of Toronto, Canada; Centre for Addiction and Mental Health (CAMH), Canada
| | | | - Anna E Goudriaan
- Department of Psychiatry, Amsterdam Institute for Addiction Research, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands; Arkin, Department of Research and Quality of Care, Amsterdam, The Netherlands
| | | | | | - Elliot A Stein
- Neuroimaging Research Branch, National Institute on Drug Abuse, Intramural Research Program, National Institutes of Health, Baltimore, MD, USA
| | - Felipe Fregni
- Spaulding Rehabilitation Hospital, Harvard Medical School, USA
| | - Michael A Nitsche
- Leibniz Research Centre for Working Environment and Human Factors, Dortmund, Germany; University Medical Hospital Bergmannsheil, Dept. Neurology, Bochum, Germany
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19
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Carbonneau R, Vitaro F, Brendgen M, Tremblay RE. The Intergenerational Association Between Parents' Problem Gambling and Impulsivity-Hyperactivity/Inattention Behaviors in Children. JOURNAL OF ABNORMAL CHILD PSYCHOLOGY 2019; 46:1203-1215. [PMID: 29101590 DOI: 10.1007/s10802-017-0362-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
Despite the well-established association between problem gambling and ADHD core categories of impulsivity-hyperactivity and inattention, the link between parents' problem gambling and impulsivity-hyperactivity/inattention (IH/I) behaviors in children has not been investigated. This study investigated the association between parents' problem gambling and children's IH/I behaviors while controlling for potential confounding variables. A population-based prospective cohort followed-up from kindergarten to age 30, the Quebec Longitudinal Study of Kindergarten Children (QLSKC), provided data over three generations. Among 1358 participants at age 30, parents with a child aged 1 year or older (N = 468; Mean age = 4.65 years; SD = 2.70) were selected. Generalized Linear Models included measures of grandparents' and parents' problem gambling, parents' IH/I behaviors in childhood, and a host of risk factors and comorbidities to predict IH/I in children. Intergenerational bivariate associations were observed between grandparents' problem gambling, parents' IH/I in childhood and problem gambling at age 30, and between parents' IH/I, problem gambling, and children's IH/I behaviors. Parents' problem gambling predicted children's IH/I behaviors above and beyond the effects of covariates such as family and socioeconomic characteristics, alcohol and drug use, depression symptoms and parents' gambling involvement. Parents' IH/I behaviors in childhood also predicted children's IH/I and had a moderating, enhancing effect on parents' problem gambling association with their offspring's IH/I behaviors. Problem gambling is a characteristic of parents' mental health that is distinctively associated with children's IH/I behaviors, above and beyond parents' own history of IH/I and of typically related addictive, psychopathological or socioeconomic risk factors and comorbidities.
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Affiliation(s)
- Rene Carbonneau
- Department of Pediatrics, University of Montreal, 3050 Edouard-Montpetit, suite 225, Montréal, QC, H3T1J7, Canada. .,Sainte-Justine Hospital Research Center, Montréal, QC, Canada. .,Research Unit on Children's Psychosocial Maladjustment, University of Montreal, Montréal, QC, Canada.
| | - Frank Vitaro
- Sainte-Justine Hospital Research Center, Montréal, QC, Canada.,Research Unit on Children's Psychosocial Maladjustment, University of Montreal, Montréal, QC, Canada.,School of Psychoeducation, University of Montreal, Montréal, QC, Canada
| | - Mara Brendgen
- Sainte-Justine Hospital Research Center, Montréal, QC, Canada.,Research Unit on Children's Psychosocial Maladjustment, University of Montreal, Montréal, QC, Canada.,Department of Psychology, University of Quebec in Montreal, Montréal, QC, Canada
| | - Richard E Tremblay
- Department of Pediatrics, University of Montreal, 3050 Edouard-Montpetit, suite 225, Montréal, QC, H3T1J7, Canada.,Sainte-Justine Hospital Research Center, Montréal, QC, Canada.,Research Unit on Children's Psychosocial Maladjustment, University of Montreal, Montréal, QC, Canada.,Department of Psychology, University of Montreal, Montréal, QC, Canada.,School of Public Health and Sport Sciences, University College Dublin, Dublin 4, Ireland
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20
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Lindgren KP, Hendershot CS, Ramirez JJ, Bernat E, Rangel-Gomez M, Peterson KP, Murphy JG. A dual process perspective on advances in cognitive science and alcohol use disorder. Clin Psychol Rev 2019; 69:83-96. [PMID: 29680185 PMCID: PMC6181791 DOI: 10.1016/j.cpr.2018.04.002] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2017] [Revised: 04/04/2018] [Accepted: 04/05/2018] [Indexed: 10/17/2022]
Abstract
There is a tremendous global and national (US) burden associated with alcohol misuse and alcohol use disorder (AUD). Further, of the mental health disorders, AUD has the widest treatment gap. Thus, there is a critical need for improved understanding of the etiology, maintenance, and treatment of AUD. The application of cognitive science to the study of AUD has a longstanding history of attempting to meet this need. In this selective review, we identified and focused on four domains of recent (i.e., in the last decade) applications of cognitive science to the study of AUD: implicit cognitive biases, executive function, behavioral economic approaches to alcohol decision making, and functional connectivity neuroimaging. We highlighted advances within these four domains and considered them in the context of dual process models of addiction, which focus on the contribution and interplay of two complementary neurocognitive systems (impulsive and control systems). Findings across the domains were generally consistent with dual process models. They also suggest the need for further model refinements, including integrating behavioral economic approaches and findings from functional connectivity neuroimaging studies. Research evaluating candidate interventions associated with these domains is emergent but promising, suggesting important directions for future research.
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Affiliation(s)
- Kristen P Lindgren
- Department of Psychiatry & Behavioral Sciences, University of Washington, Seattle, WA, USA.
| | - Christian S Hendershot
- Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | - Jason J Ramirez
- Department of Psychiatry & Behavioral Sciences, University of Washington, Seattle, WA, USA
| | - Edward Bernat
- Department of Psychology, University of Maryland, College Park, MD, USA
| | | | - Kirsten P Peterson
- Department of Psychiatry & Behavioral Sciences, University of Washington, Seattle, WA, USA
| | - James G Murphy
- Department of Psychology, University of Memphis, Memphis, TN, USA
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21
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Phung QH, Snider SE, Tegge AN, Bickel WK. Willing to Work But Not to Wait: Individuals with Greater Alcohol Use Disorder Show Increased Delay Discounting Across Commodities and Less Effort Discounting for Alcohol. Alcohol Clin Exp Res 2019; 43:927-936. [PMID: 30817019 DOI: 10.1111/acer.13996] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2017] [Accepted: 02/20/2019] [Indexed: 11/30/2022]
Abstract
BACKGROUND Delay discounting refers to the devaluation of a reward given increasing delays to delivery. Similarly, effort discounting refers to the devaluation of a reward given increasing effort required to obtain it. Individuals with substance use disorder show higher rates of delay discounting, exacerbating short-term positive reinforcement at the expense of long-term consequences. This study explores how effort discounting compares to delay discounting behavior among alcohol users as well as how these preferences change between monetary and alcohol rewards. METHODS A total of 100 participants completed an online survey through Amazon Mechanical Turk. Participant alcohol use was evaluated using DSM-5 and the Alcohol Use Disorders Identification Test criteria. All participants completed 4 randomized discounting tasks involving delay or effort discounting, in which the reward was money or alcohol. A follow-up experiment (n = 423) added the alcohol purchase task to assess alcohol valuation. RESULTS Individuals with greater alcohol use disorder (AUD) severity discounted future money and alcohol significantly more than those with less AUD. However, individuals meeting more DSM-5 criteria were only willing to perform more effort for alcohol. The follow-up experiment replicated these findings and demonstrated that individuals with greater AUD also showed an increased valuation of alcohol and alcohol value-mediated effort discounting. CONCLUSIONS These results suggest that individuals with greater AUD were less willing to wait for money or alcohol. While all participants were willing to work for money regardless of AUD severity, individuals with greater AUD showed increased valuation of alcohol drinks and were willing to exert more effort to obtain alcohol. Together, these results paint a picture of individuals with increased AUD as both more impulsive and willing to work to obtain alcohol, contributing to our understanding of decision making among individuals who abuse substances.
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Affiliation(s)
- Quan H Phung
- Virginia Tech Carilion School of Medicine, Roanoke, Virginia
| | - Sarah E Snider
- Addiction Recovery Research Center, Fralin Biomedical Research Institute at VTC, Roanoke, Virginia
| | - Allison N Tegge
- Virginia Tech Carilion School of Medicine, Roanoke, Virginia.,Addiction Recovery Research Center, Fralin Biomedical Research Institute at VTC, Roanoke, Virginia.,Department of Statistics, Virginia Tech, Blacksburg, Virginia
| | - Warren K Bickel
- Addiction Recovery Research Center, Fralin Biomedical Research Institute at VTC, Roanoke, Virginia
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22
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Vassileva J, Conrod PJ. Impulsivities and addictions: a multidimensional integrative framework informing assessment and interventions for substance use disorders. Philos Trans R Soc Lond B Biol Sci 2019; 374:20180137. [PMID: 30966920 PMCID: PMC6335463 DOI: 10.1098/rstb.2018.0137] [Citation(s) in RCA: 46] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/15/2018] [Indexed: 12/18/2022] Open
Abstract
Impulse control is becoming a critical survival skill for the twenty-first century. Impulsivity is implicated in virtually all externalizing behaviours and disorders, and figures prominently in the aetiology and long-term sequelae of substance use disorders (SUDs). Despite its robust clinical and predictive validity, the study of impulsivity is complicated by its multidimensional nature, characterized by a variety of trait-like personality dimensions, as well as by more state-dependent neurocognitive dimensions, with variable convergence across measures. This review provides a hierarchical framework for linking self-report and neurocognitive measures to latent constructs of impulsivity and, in turn, to different psychopathology vulnerabilities, including substance-specific addictions and comorbidities. Impulsivity dimensions are presented as novel behavioural targets for prevention and intervention. Novel treatment approaches addressing domains of impulsivity are reviewed and recommendations for future directions in research and clinical interventions for SUDs are offered. This article is part of the theme issue 'Risk taking and impulsive behaviour: fundamental discoveries, theoretical perspectives and clinical implications'.
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Affiliation(s)
- Jasmin Vassileva
- Institute for Drug and Alcohol Studies, Virginia Commonwealth University, Richmond, VA, USA
- Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA
| | - Patricia J. Conrod
- Department of Psychiatry, University of Montreal, Montreal, Canada
- Centre de Recherche, CHU Ste Justine, Montreal, Canada
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Abstract
The National Institute of Mental Health launched the Research Domain Criteria (RDoC) initiative to better understand dimensions of behavior and identify targets for treatment. Examining dimensions across psychiatric illnesses has proven challenging, as reliable behavioral paradigms that are known to engage specific neural circuits and translate across diagnostic populations are scarce. Delay discounting paradigms seem to be an exception: they are useful for understanding links between neural systems and behavior in healthy individuals, with potential for assessing how these mechanisms go awry in psychiatric illnesses. This article reviews relevant literature on delay discounting (or the rate at which the value of a reward decreases as the delay to receipt increases) in humans, including methods for examining it, its putative neural mechanisms, and its application in psychiatric research. There exist rigorous and reproducible paradigms to evaluate delay discounting, standard methods for calculating discount rate, and known neural systems probed by these paradigms. Abnormalities in discounting have been associated with psychopathology ranging from addiction (with steep discount rates indicating relative preference for immediate rewards) to anorexia nervosa (with shallow discount rates indicating preference for future rewards). The latest research suggests that delay discounting can be manipulated in the laboratory. Extensively studied in cognitive neuroscience, delay discounting assesses a dimension of behavior that is important for decision-making and is linked to neural substrates and to psychopathology. The question now is whether manipulating delay discounting can yield clinically significant changes in behavior that promote health. If so, then delay discounting could deliver on the RDoC promise.
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Affiliation(s)
- Karolina M Lempert
- Department of Psychology,University of Pennsylvania,Philadelphia, PA,USA
| | - Joanna E Steinglass
- Department of Psychiatry,Columbia University Medical Center,New York, NY,USA
| | - Anthony Pinto
- Department of Psychiatry,Columbia University Medical Center,New York, NY,USA
| | - Joseph W Kable
- Department of Psychology,University of Pennsylvania,Philadelphia, PA,USA
| | - Helen Blair Simpson
- Department of Psychiatry,Columbia University Medical Center,New York, NY,USA
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24
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Translational tests involving non-reward: methodological considerations. Psychopharmacology (Berl) 2019; 236:449-461. [PMID: 30306228 PMCID: PMC6373191 DOI: 10.1007/s00213-018-5062-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2018] [Accepted: 10/02/2018] [Indexed: 02/07/2023]
Abstract
This review is concerned with methods for assessing the processing of unrewarded responses in experimental animals and the mechanisms underlying performance of these tasks. A number of clinical populations, including Parkinson's disease, depression, compulsive disorders, and schizophrenia demonstrate either abnormal processing or learning from non-rewarded responses in laboratory-based reinforcement learning tasks. These effects are hypothesized to result from disturbances in modulatory neurotransmitter systems, including dopamine and serotonin. Parallel work in experimental animals has revealed consistent behavioral patterns associated with non-reward and, consistent with the human literature, modulatory roles for specific neurotransmitters. Classical tests involving an important reward omission component include appetitive extinction, ratio schedules of responding, reversal learning, and delay and probability discounting procedures. In addition, innovative behavioral tests have recently been developed leverage probabilistic feedback to specifically assay accommodation of, and learning from, non-rewarded responses. These procedures will be described and reviewed with discussion of the behavioral and neural determinants of performance. A final section focusses specifically on the benefits of trial-by-trial analysis of responding during such tasks, and the implications of such analyses for the translation of findings to clinical studies.
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25
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Holmes C, Owens M, Beach SRH, McCormick M, Hallowell E, Clark US, Barton AW, Brody GH, MacKillop J, Sweet LH. Peer influence, Frontostriatal connectivity, and delay discounting in African American emerging adults. Brain Imaging Behav 2018; 14:155-163. [PMID: 30374665 DOI: 10.1007/s11682-018-9977-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Abstract
Prior research has demonstrated the importance of delay discounting in adverse health behaviors, such as addiction, attention deficit hyperactivity disorder, risk taking, and obesity. Nevertheless, the functional connectivity of neural circuitry associated with delay discounting and the ways in which the social environment may influence frontostriatal connectivity remain largely unknown, particularly in African Americans. Building on recent literature implicating frontostriatal connectivity during active delay discounting decision making and at rest, we used functional magnetic resonance imaging to assess the association between delay discounting and frontostriatal resting state connectivity (rsFC). We also examined the capacity of social relationships with parents and peers to longitudinally predict frontostriatal rsFC. The study cohort was composed of 91 rural African American emerging adults followed over a 6-year period. Greater (i.e., more positive) frontostriatal rsFC was associated with decreased delay discounting (i.e., less impulsive decision making). In addition, peer relationships at ages 20 and 21 significantly predicted frontostriatal rsFC at age 25 above and beyond parental influence. A significant indirect effect of peer affiliation on delay discounting through frontostriatal rsFC also emerged. These results indicate a role of frontostriatal connectivity in delay discounting decision making and highlight peers' unique influence on decision making behaviors through frontostriatal rsFC during emerging adulthood.
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Affiliation(s)
- Christopher Holmes
- Center for Family Research, University of Georgia, 1095 College Station Road, Athens, GA, 30602-4527, USA.
| | - Max Owens
- Department of Psychology, University of Georgia, Athens, GA, USA
| | - Steven R H Beach
- Center for Family Research, University of Georgia, 1095 College Station Road, Athens, GA, 30602-4527, USA
| | | | - Emily Hallowell
- Department of Psychology, University of Georgia, Athens, GA, USA
| | - Uraina S Clark
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Allen W Barton
- Center for Family Research, University of Georgia, 1095 College Station Road, Athens, GA, 30602-4527, USA
| | - Gene H Brody
- Center for Family Research, University of Georgia, 1095 College Station Road, Athens, GA, 30602-4527, USA
| | - James MacKillop
- Peter Boris Centre for Addictions Research, McMaster University, Hamilton, ON, Canada
| | - Lawrence H Sweet
- Center for Family Research, University of Georgia, 1095 College Station Road, Athens, GA, 30602-4527, USA
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Oshri A, Kogan S, Liu S, Sweet L, Mackillop J. Pathways Linking Adverse Childhood Experiences to Cigarette Smoking Among Young Black Men: a Prospective Analysis of the Role of Sleep Problems and Delayed Reward Discounting. Ann Behav Med 2018; 51:890-898. [PMID: 28500481 DOI: 10.1007/s12160-017-9914-0] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND African American men experience increases in smoking during the young adult transition. Exposure to childhood adversity, a risk factor which disproportionately affects African American men, has been identified as a robust precursor to health risk behavior in general and cigarette smoking in particular. The intermediate mechanisms that transmit the influence of early adversity to smoking behavior are not well understood. PURPOSE We tested a model of the escalation of smoking behaviors among young adult African American men, investigating sleep disturbance and delayed reward discounting as intermediate factors linking adverse childhood experiences with smoking. METHODS Hypotheses were tested with three waves of data (M age-T1 = 20.34, M age-T2 = 21.92, M age-T3 = 23.02) from 505 African American men living in rural counties in South Georgia. Men provided self-report data on their adverse childhood experiences, sleep problems, and smoking behavior using audio-assisted computer self-interviews. Men also completed a computer-based delayed reward discounting task. RESULTS Structural equation modeling analyses supported our hypotheses: Adverse childhood experiences predicted poor sleep adequacy, which forecast increases in delayed reward discounting; discounting, in turn, predicted increased smoking. Significant indirect pathways were detected linking adversity to discounting via sleep adequacy and linking sleep adequacy to smoking via discounting. CONCLUSIONS Prevention and intervention researchers can draw on these findings to develop programs that focus on sleep adequacy to reduce smoking in African American men exposed to childhood adversity.
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Affiliation(s)
- Assaf Oshri
- Department of Human Development and Family Science, The Youth Development Institute, The University of Georgia, Athens, GA, 30602, USA.
| | - Steven Kogan
- Department of Human Development and Family Science, The Youth Development Institute, The University of Georgia, Athens, GA, 30602, USA
| | - Sihong Liu
- Department of Human Development and Family Science, The Youth Development Institute, The University of Georgia, Athens, GA, 30602, USA
| | - Lawrence Sweet
- Department of Psychology, Behavioral and Brain Sciences Program, The University of Georgia, Athens, GA, 30602, USA
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Fung BJ, Bode S, Murawski C. High monetary reward rates and caloric rewards decrease temporal persistence. Proc Biol Sci 2018; 284:rspb.2016.2759. [PMID: 28228517 PMCID: PMC5326537 DOI: 10.1098/rspb.2016.2759] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2016] [Accepted: 01/27/2017] [Indexed: 01/07/2023] Open
Abstract
Temporal persistence refers to an individual's capacity to wait for future rewards, while forgoing possible alternatives. This requires a trade-off between the potential value of delayed rewards and opportunity costs, and is relevant to many real-world decisions, such as dieting. Theoretical models have previously suggested that high monetary reward rates, or positive energy balance, may result in decreased temporal persistence. In our study, 50 fasted participants engaged in a temporal persistence task, incentivised with monetary rewards. In alternating blocks of this task, rewards were delivered at delays drawn randomly from distributions with either a lower or higher maximum reward rate. During some blocks participants received either a caloric drink or water. We used survival analysis to estimate participants' probability of quitting conditional on the delay distribution and the consumed liquid. Participants had a higher probability of quitting in blocks with the higher reward rate. Furthermore, participants who consumed the caloric drink had a higher probability of quitting than those who consumed water. Our results support the predictions from the theoretical models, and importantly, suggest that both higher monetary reward rates and physiologically relevant rewards can decrease temporal persistence, which is a crucial determinant for survival in many species.
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Affiliation(s)
- Bowen J Fung
- Melbourne School of Psychological Sciences, The University of Melbourne, Melbourne, Victoria 3010, Australia .,Department of Finance, The University of Melbourne, Melbourne, Victoria 3010, Australia
| | - Stefan Bode
- Melbourne School of Psychological Sciences, The University of Melbourne, Melbourne, Victoria 3010, Australia
| | - Carsten Murawski
- Department of Finance, The University of Melbourne, Melbourne, Victoria 3010, Australia
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28
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Ahn WY, Haines N, Zhang L. Revealing Neurocomputational Mechanisms of Reinforcement Learning and Decision-Making With the hBayesDM Package. COMPUTATIONAL PSYCHIATRY 2017; 1:24-57. [PMID: 29601060 PMCID: PMC5869013 DOI: 10.1162/cpsy_a_00002] [Citation(s) in RCA: 168] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/20/2016] [Accepted: 03/06/2017] [Indexed: 12/22/2022]
Abstract
Reinforcement learning and decision-making (RLDM) provide a quantitative framework and computational theories with which we can disentangle psychiatric conditions into the basic dimensions of neurocognitive functioning. RLDM offer a novel approach to assessing and potentially diagnosing psychiatric patients, and there is growing enthusiasm for both RLDM and computational psychiatry among clinical researchers. Such a framework can also provide insights into the brain substrates of particular RLDM processes, as exemplified by model-based analysis of data from functional magnetic resonance imaging (fMRI) or electroencephalography (EEG). However, researchers often find the approach too technical and have difficulty adopting it for their research. Thus, a critical need remains to develop a user-friendly tool for the wide dissemination of computational psychiatric methods. We introduce an R package called hBayesDM (hierarchical Bayesian modeling of Decision-Making tasks), which offers computational modeling of an array of RLDM tasks and social exchange games. The hBayesDM package offers state-of-the-art hierarchical Bayesian modeling, in which both individual and group parameters (i.e., posterior distributions) are estimated simultaneously in a mutually constraining fashion. At the same time, the package is extremely user-friendly: users can perform computational modeling, output visualization, and Bayesian model comparisons, each with a single line of coding. Users can also extract the trial-by-trial latent variables (e.g., prediction errors) required for model-based fMRI/EEG. With the hBayesDM package, we anticipate that anyone with minimal knowledge of programming can take advantage of cutting-edge computational-modeling approaches to investigate the underlying processes of and interactions between multiple decision-making (e.g., goal-directed, habitual, and Pavlovian) systems. In this way, we expect that the hBayesDM package will contribute to the dissemination of advanced modeling approaches and enable a wide range of researchers to easily perform computational psychiatric research within different populations.
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Affiliation(s)
- Woo-Young Ahn
- Department of Psychology, The Ohio State University, Columbus, OH
| | - Nathaniel Haines
- Department of Psychology, The Ohio State University, Columbus, OH
| | - Lei Zhang
- Institute for Systems Neuroscience, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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29
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Athamneh LN, Stein JS, Quisenberry AJ, Pope D, Bickel WK. The association between parental history and delay discounting among individuals in recovery from addiction. Drug Alcohol Depend 2017; 179:153-158. [PMID: 28780380 PMCID: PMC5599355 DOI: 10.1016/j.drugalcdep.2017.06.037] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2017] [Revised: 06/13/2017] [Accepted: 06/16/2017] [Indexed: 10/19/2022]
Abstract
BACKGROUND Family history of addiction is a risk factor for substance use disorders. Delay discounting (DD) is associated with the risk of substance use and dependence, and is predictive of the likelihood of successful abstinence and treatment outcomes; thus, we investigated the extent to which having parents with addiction (parental history of addiction) and number of addicted parents affect DD among individuals in recovery from addiction. METHODS Data from 177 individuals in recovery from addiction from The International Quit and Recovery Registry (IQRR), an ongoing online data collection program that aims to understand addiction and how people succeed in recovery, were included in the analysis. Participants with no, one, or two parents with addiction were compared on measures of DD using an adjusting-amount task. RESULTS Parental history of addiction was significantly associated with delay discounting. After controlling for age and gender, which were significantly different between groups, participants reporting two biological parents with addiction had significantly higher DD rates compared to those reporting one or no parents with addiction. CONCLUSIONS Participants with two parents with addiction had significantly higher rates of discounting compared to those with no or only one parent with addiction. This information can serve as a foundation to better identify and target important subgroups that need additional or non-traditional intervention strategies to address their larger degree of impulsivity and help maintain abstinence or achieve better treatment outcomes.
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Affiliation(s)
- Liqa N. Athamneh
- Addiction Recovery Research Center, Virginia Tech Carilion Research Institute, 2 Riverside Circle, Roanoke, VA 24016, United States,Graduate Program in Translational Biology, Medicine, and Health, Virginia Tech, 1 Riverside Circle, Roanoke, VA 24016, United States
| | - Jeffrey S. Stein
- Addiction Recovery Research Center, Virginia Tech Carilion Research Institute, 2 Riverside Circle, Roanoke, VA 24016, United States,Graduate Program in Translational Biology, Medicine, and Health, Virginia Tech, 1 Riverside Circle, Roanoke, VA 24016, United States
| | - Amanda J. Quisenberry
- Division of Health Behavior and Health Promotion, College of Public Health, The Ohio State University, 1841 Neil Ave., Columbus, OH, 43210, United States
| | - Derek Pope
- Addiction Recovery Research Center, Virginia Tech Carilion Research Institute, 2 Riverside Circle, Roanoke, VA 24016, United States
| | - Warren K. Bickel
- Addiction Recovery Research Center, Virginia Tech Carilion Research Institute, 2 Riverside Circle, Roanoke, VA 24016, United States,Graduate Program in Translational Biology, Medicine, and Health, Virginia Tech, 1 Riverside Circle, Roanoke, VA 24016, United States,Department of Psychology, Virginia Tech, 109 Williams Hall, Blacksburg, VA 24061, United States,Department of Neuroscience, Virginia Tech, 300 Turner Street NW, Blacksburg, VA 24061, United States,Faculty of Health Sciences, Virginia Tech, 1 Riverside Circle, Roanoke, VA 24016, United States,Department of Psychiatry and Behavioral Medicine, Virginia Tech Carilion School of Medicine, 2 Riverside Circle, Roanoke, VA 24016, United States
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30
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Bickel WK, Moody LN, Eddy CR, Franck CT. Neurocognitive dysfunction in addiction: Testing hypotheses of diffuse versus selective phenotypic dysfunction with a classification-based approach. Exp Clin Psychopharmacol 2017; 25:322-332. [PMID: 28782983 PMCID: PMC5606154 DOI: 10.1037/pha0000115] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Neurocognitive dysfunctions are frequently identified in the addictions. These dysfunctions may indicate either diffuse dysfunction or may represent separate facets that have differential importance to the addiction phenotype. In a sample (n = 260) of alcohol and/or stimulant users and controls we measured responses across 7 diverse neurocognitive measures. These measures were Continuous Performance, Delay Discounting, Iowa Gambling, Stroop, Tower, Wisconsin Card Sorting, and Letter Number Sequencing. Comparisons were then made between the drug-dependent groups and controls using analysis of variance and also using a machine learning approach to classify participants based on task performance as substance-dependent or controls in 1 tree and as alcohol and/or stimulant users or controls in a second tree. The analysis of variance showed significant differences between groups on the Delay Discounting (p < .001), Iowa Gambling (p < .001), Letter Number Sequencing (p < .001), and Wisconsin Card Sorting (p < .05) tasks. The first classification tree correctly classified between substance-dependent or controls for 88.3% of participants and classified between alcohol and/or stimulant users or controls for 63.9% of participants. Delay discounting was the first split in both trees and in the substance-dependent and control tree. The analysis of variance results largely replicate previous findings. The machine learning classification tree analysis provides evidence to support the hypothesis that different measures of neurocognitive dysfunction represent different processes. Among them, delay discounting was the most robust in categorizing drug dependence. (PsycINFO Database Record
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Affiliation(s)
- Warren K. Bickel
- Virginia Tech Carilion Research Institute, Roanoke, VA, USA,Virginia Tech, Department of Psychology, Blacksburg, VA, USA
| | - Lara N. Moody
- Virginia Tech Carilion Research Institute, Roanoke, VA, USA,Virginia Tech, Department of Psychology, Blacksburg, VA, USA
| | - Celia R. Eddy
- Virginia Tech, Department of Statistics, Blacksburg, VA, USA
| | - Christopher T. Franck
- Virginia Tech Carilion Research Institute, Roanoke, VA, USA,Virginia Tech, Department of Statistics, Blacksburg, VA, USA
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Guo Y, Chen Z, Feng T. The effect of future time perspective on delay discounting is mediated by the gray matter volume of vmPFC. Neuropsychologia 2017. [PMID: 28645750 DOI: 10.1016/j.neuropsychologia.2017.06.021] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Although several previous studies have shown that individuals' attitude towards time could affect their intertemporal preference, little is known about the neural basis of the relation between time perspective (TP) and delay discounting. In the present study, we quantified the gray matter (GM) cortical volume using voxel-based morphometry (VBM) methods to investigate the effect of TP on delay discounting (DD) across two independent samples. For group 1 (102 healthy college students; 46 male; 20.40 ± 1.87 years), behavioral results showed that only Future TP was a significant predictor of DD, and higher scores on Future TP were related to lower discounting rates. Whole-brain analysis revealed that steeper discounting correlated with greater GM volume in the ventromedial prefrontal cortex (vmPFC) and ventral part of posterior cingulate cortex (vPCC). Also, GM volume of a cluster in the vmPFC was correlated with Future TP. Interestingly, there was an overlapping region in vmPFC that was correlated with both DD and Future TP. Region-of-interest analysis further indicated that the overlapping region of vmPFC played a partially mediating role in the relation between Future TP and DD in the other independent dataset (Group 2, 36 healthy college students; 14 male; 20.18±1.80 years). Taken together, our results provide a new perspective from neural basis for explaining the relation between DD and future TP.
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Affiliation(s)
- Yiqun Guo
- Research center of Psychology and Social development, Faculty of Psychology, Southwest University, Chongqing, China
| | - Zhiyi Chen
- Research center of Psychology and Social development, Faculty of Psychology, Southwest University, Chongqing, China
| | - Tingyong Feng
- Research center of Psychology and Social development, Faculty of Psychology, Southwest University, Chongqing, China; Key Laboratory of Cognition and Personality, Ministry of Education, China.
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32
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Higgins ST, Davis DR, Kurti AN. Financial Incentives for Reducing Smoking and Promoting Other Health-Related Behavior Change in Vulnerable Populations. ACTA ACUST UNITED AC 2017. [DOI: 10.1177/2372732216683518] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Substantial reductions in U.S. cigarette smoking and associated chronic diseases over the past 50 years have benefited health. Unfortunately, those reductions have distributed unevenly throughout the population. Smoking remains prevalent and even increasing among certain vulnerable populations: economically disadvantaged groups, those with other substance-use disorders or mental illness, certain ethnic and racial minorities, and gender and sexual minorities. Moreover, other unhealthy behavior patterns (physical inactivity, unhealthy food choices, risky sexual behavior, poor adherence to medical preventive regimens) and associated chronic diseases are also overrepresented in many of these same populations. Disparities in unhealthy behavior patterns contribute to health disparities and escalating health care costs, underscoring the need for more effective behavior-change strategies. This report reviews research on the efficacy of financial incentives for reducing smoking in vulnerable populations, while also touching on applications of that behavior-change strategy for promoting other health-related behavior changes in vulnerable populations.
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Fung BJ, Crone DL, Bode S, Murawski C. Cardiac Signals Are Independently Associated with Temporal Discounting and Time Perception. Front Behav Neurosci 2017; 11:1. [PMID: 28174525 PMCID: PMC5258759 DOI: 10.3389/fnbeh.2017.00001] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2016] [Accepted: 01/03/2017] [Indexed: 11/13/2022] Open
Abstract
Cardiac signals reflect the function of the autonomic nervous system (ANS) and have previously been associated with a range of self-regulatory behaviors such as emotion regulation and memory recall. It is unknown whether cardiac signals may also be associated with self-regulation in the temporal domain, in particular impulsivity. We assessed both decision impulsivity (temporal discounting, TD) and time perception impulsivity (duration reproduction, DR) in 120 participants while they underwent electrocardiography in order to test whether cardiac signals were related to these two aspects of impulsivity. We found that over the entire period of task performance, individuals with higher heart rates had a tendency toward lower discount rates, supporting previous research that has associated sympathetic responses with decreased impulsivity. We also found that low-frequency components of heart rate variability (HRV) were associated with a less accurate perception of time, suggesting that time perception may be modulated by ANS function. Overall, these findings constitute preliminary evidence that autonomic function plays an important role in both decision impulsivity and time perception.
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Affiliation(s)
- Bowen J Fung
- Melbourne School of Psychological Sciences, The University of MelbourneMelbourne, VIC, Australia; Department of Finance, The University of MelbourneMelbourne, VIC, Australia
| | - Damien L Crone
- Melbourne School of Psychological Sciences, The University of MelbourneMelbourne, VIC, Australia; Department of Finance, The University of MelbourneMelbourne, VIC, Australia
| | - Stefan Bode
- Melbourne School of Psychological Sciences, The University of Melbourne Melbourne, VIC, Australia
| | - Carsten Murawski
- Department of Finance, The University of Melbourne Melbourne, VIC, Australia
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34
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Bickel WK, Moody L, Higgins ST. Some current dimensions of the behavioral economics of health-related behavior change. Prev Med 2016; 92:16-23. [PMID: 27283095 PMCID: PMC5085840 DOI: 10.1016/j.ypmed.2016.06.002] [Citation(s) in RCA: 58] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/19/2016] [Revised: 05/31/2016] [Accepted: 06/04/2016] [Indexed: 11/22/2022]
Abstract
Health-related behaviors such as tobacco, alcohol and other substance use, poor diet and physical inactivity, and risky sexual practices are important targets for research and intervention. Health-related behaviors are especially pertinent targets in the United States, which lags behind most other developed nations on common markers of population health. In this essay we examine the application of behavioral economics, a scientific discipline that represents the intersection of economics and psychology, to the study and promotion of health-related behavior change. More specifically, we review what we consider to be some core dimensions of this discipline when applied to the study health-related behavior change. Behavioral economics (1) provides novel conceptual systems to inform scientific understanding of health behaviors, (2) translates scientific understanding into practical and effective behavior-change interventions, (3) leverages varied aspects of behavior change beyond increases or decreases in frequency, (4) recognizes and exploits trans-disease processes and interventions, and (5) leverages technology in efforts to maximize efficacy, cost effectiveness, and reach. These dimensions are overviewed and their implications for the future of the field discussed.
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Affiliation(s)
- Warren K Bickel
- Virginia Tech Carilion Research Institute, Department of Psychology, Roanoke, VA, USA.
| | - Lara Moody
- Virginia Tech Carilion Research Institute, Department of Psychology, Roanoke, VA, USA
| | - Stephen T Higgins
- Vermont Center on Behavior and Health, University of Vermont, Burlington, VT, USA; University of Vermont, Departments of Psychiatry and Psychology, USA
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35
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Ahn WY, Vassileva J. Machine-learning identifies substance-specific behavioral markers for opiate and stimulant dependence. Drug Alcohol Depend 2016; 161:247-57. [PMID: 26905209 PMCID: PMC4955649 DOI: 10.1016/j.drugalcdep.2016.02.008] [Citation(s) in RCA: 87] [Impact Index Per Article: 10.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2016] [Revised: 02/02/2016] [Accepted: 02/04/2016] [Indexed: 01/20/2023]
Abstract
BACKGROUND Recent animal and human studies reveal distinct cognitive and neurobiological differences between opiate and stimulant addictions; however, our understanding of the common and specific effects of these two classes of drugs remains limited due to the high rates of polysubstance-dependence among drug users. METHODS The goal of the current study was to identify multivariate substance-specific markers classifying heroin dependence (HD) and amphetamine dependence (AD), by using machine-learning approaches. Participants included 39 amphetamine mono-dependent, 44 heroin mono-dependent, 58 polysubstance dependent, and 81 non-substance dependent individuals. The majority of substance dependent participants were in protracted abstinence. We used demographic, personality (trait impulsivity, trait psychopathy, aggression, sensation seeking), psychiatric (attention deficit hyperactivity disorder, conduct disorder, antisocial personality disorder, psychopathy, anxiety, depression), and neurocognitive impulsivity measures (Delay Discounting, Go/No-Go, Stop Signal, Immediate Memory, Balloon Analogue Risk, Cambridge Gambling, and Iowa Gambling tasks) as predictors in a machine-learning algorithm. RESULTS The machine-learning approach revealed substance-specific multivariate profiles that classified HD and AD in new samples with high degree of accuracy. Out of 54 predictors, psychopathy was the only classifier common to both types of addiction. Important dissociations emerged between factors classifying HD and AD, which often showed opposite patterns among individuals with HD and AD. CONCLUSIONS These results suggest that different mechanisms may underlie HD and AD, challenging the unitary account of drug addiction. This line of work may shed light on the development of standardized and cost-efficient clinical diagnostic tests and facilitate the development of individualized prevention and intervention programs for HD and AD.
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Affiliation(s)
- Woo-Young Ahn
- Department of Psychology, The Ohio State University, 1835 Neil Avenue, Columbus, OH 43210, USA
| | - Jasmin Vassileva
- Department of Psychiatry, Virginia Commonwealth University, 1200 E. Broad Street, Richmond, VA 23298, USA; Institute for Drug & Alcohol Studies, Virginia Commonwealth University, 203 E. Cary Street, Richmond, VA 23219, USA.
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36
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Moody L, Franck C, Bickel WK. Comorbid depression, antisocial personality, and substance dependence: Relationship with delay discounting. Drug Alcohol Depend 2016; 160:190-6. [PMID: 26846198 PMCID: PMC4767536 DOI: 10.1016/j.drugalcdep.2016.01.009] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2015] [Revised: 01/08/2016] [Accepted: 01/08/2016] [Indexed: 02/04/2023]
Abstract
BACKGROUND Within the field of addiction, as many as four-fifths of individuals in treatment for substance use disorder have co-existing lifetime psychopathology and as high as two-thirds have current psychopathology. Among substance-dependent individuals, excessive delay discounting is pervasive. Despite evidence of excessive discounting across substance use disorders, few studies have investigated the impact of co-occurring psychopathologies and SUD on delay discounting. METHODS We compared delay discounting in currently abstaining substance users with (a) SUD (n=166), (b) SUD and managed major depressive disorder (MDD; n=44), (c) SUD and antisocial personality disorder (APD; n=35), (d) SUD and managed MDD and APD (n=22) and (e) no SUD or co-occurring psychopathology (n=60). RESULTS All groups with SUD discounted future delayed rewards significantly more than healthy controls (p<0.001 in each case, d=0.686, 0.835, 1.098 and 1.650, respective to groups a-d above). Individuals with both APD and SUD and individuals with MDD, APD, and SUD discounted future rewards significantly more than substance users without comorbid psychopathology (p=0.029, d=0.412 and p<0.001, d=0.964, respectively). CONCLUSIONS Overall, individuals with multiple psychopathologies in addition to substance use have exacerbated deficits in discounting of the future, above and beyond that observed in substance use alone. Increased discounting in combined substance and psychopathology profiles suggest a greater chance of treatment failure and therefore may necessitate individualized treatment using adjunctive interventions to achieve better treatment outcomes.
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Affiliation(s)
- Lara Moody
- Virginia Tech Carilion Research Center, Roanoke, VA, 24016 USA,Virginia Tech, Department of Psychology, Blacksburg, VA, 24061 USA
| | - Christopher Franck
- Virginia Tech Carilion Research Center, Roanoke, VA, 24016 USA,Virginia Tech, Department of Statistics, Blacksburg, VA, 24061 USA
| | - Warren K. Bickel
- Virginia Tech Carilion Research Center, Roanoke, VA, 24016 USA,Corresponding author at: Director, Addiction Recovery Research Center, Virginia Tech Carilion Research Institute, 2 Riverside Circle, Roanoke, VA 24016, USA,
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37
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Smith CT, Steel EA, Parrish MH, Kelm MK, Boettiger CA. Intertemporal Choice Behavior in Emerging Adults and Adults: Effects of Age Interact with Alcohol Use and Family History Status. Front Hum Neurosci 2015; 9:627. [PMID: 26635580 PMCID: PMC4655234 DOI: 10.3389/fnhum.2015.00627] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2015] [Accepted: 11/02/2015] [Indexed: 12/12/2022] Open
Abstract
Adults with alcohol use disorders (AUDs) show marked immediate reward selection (or "Now") bias in intertemporal choice tasks. This Now bias persists long into abstinence, suggesting an irreversible consequence of chronic alcohol abuse or a pre-existing AUD intermediate phenotype. However, some data show substantial Now bias among emerging adults (18-25), regardless of drinking behavior, suggesting age-dependent effects on Now bias. The objectives of the present study were to determine (1) whether Now bias is greater among emerging adults relative to adults, (2) whether any such age effect on Now bias is diminished in sub-clinical heavy alcohol users, and (3) whether having a problem drinking first degree relative is independently associated with elevated Now bias. To achieve these objectives, we used an intertemporal choice task to quantify Now bias in n = 237 healthy participants (ages 18-40; 50% female), and a wide range of non-zero alcohol use, based on the Alcohol Use Disorders Identification Test (AUDIT). We found that among non-heavy drinkers, Now bias inversely correlated with age; this relationship was not present among heavy drinkers. We found no significant relationship between AUDIT score and Now bias among emerging adults, but AUDIT scores and Now bias were positively correlated among 26-40 year olds. Additionally, non-heavy drinking adults who reported a problem drinking first degree relative showed greater Now bias compared to those not reporting familial problem drinking. While not definitive, these findings lend support for elevated Now bias in adulthood as an intermediate phenotype for AUDs. Moreover, non-additive effects of age and heavy drinking on Now bias suggest perturbations in largely common neural circuits in both groups.
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Affiliation(s)
| | - Eleanor A Steel
- Department of Psychology and Neuroscience, University of North Carolina, Chapel Hill NC, USA
| | - Michael H Parrish
- Department of Psychology and Neuroscience, University of North Carolina, Chapel Hill NC, USA
| | - Mary K Kelm
- Department of Psychology and Neuroscience, University of North Carolina, Chapel Hill NC, USA ; Bowles Center for Alcohol Studies, University of North Carolina, Chapel Hill NC, USA
| | - Charlotte A Boettiger
- Neurobiology Curriculum, University of North Carolina, Chapel Hill NC, USA ; Department of Psychology and Neuroscience, University of North Carolina, Chapel Hill NC, USA ; Bowles Center for Alcohol Studies, University of North Carolina, Chapel Hill NC, USA ; Biomedical Research Imaging Center, University of North Carolina, Chapel Hill NC, USA
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38
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Lempert KM, Phelps EA. The Malleability of Intertemporal Choice. Trends Cogn Sci 2015; 20:64-74. [PMID: 26483153 DOI: 10.1016/j.tics.2015.09.005] [Citation(s) in RCA: 97] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2015] [Revised: 08/28/2015] [Accepted: 09/03/2015] [Indexed: 10/22/2022]
Abstract
Intertemporal choices are ubiquitous: people often have to choose between outcomes realized at different times. Although it is generally believed that people have stable tendencies toward being impulsive or patient, an emerging body of evidence indicates that intertemporal choice is malleable and can be profoundly influenced by context. How the choice is framed, or the state of the decision-maker at the time of choice, can induce a shift in preference. Framing effects are underpinned by allocation of attention to choice attributes, reference dependence, and time construal. Incidental affective states and prospection also influence intertemporal choice. We advocate that intertemporal choice models account for these context effects, and encourage the use of this knowledge to nudge people toward making more advantageous choices.
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Affiliation(s)
- Karolina M Lempert
- New York University, 6 Washington Place, Room 890, New York, NY 10003, USA
| | - Elizabeth A Phelps
- New York University, 6 Washington Place, Room 890, New York, NY 10003, USA; Nathan Kline Institute, 140 Old Orangeburg Road, Orangeburg, NY, 10962, USA.
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