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Stier AJ, Cardenas-Iniguez C, Kardan O, Moore TM, Meyer FAC, Rosenberg MD, Kaczkurkin AN, Lahey BB, Berman MG. A pattern of cognitive resource disruptions in childhood psychopathology. Netw Neurosci 2023; 7:1153-1180. [PMID: 37781141 PMCID: PMC10473262 DOI: 10.1162/netn_a_00322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Accepted: 05/01/2023] [Indexed: 10/03/2023] Open
Abstract
The Hurst exponent (H) isolated in fractal analyses of neuroimaging time series is implicated broadly in cognition. Within this literature, H is associated with multiple mental disorders, suggesting that H is transdimensionally associated with psychopathology. Here, we unify these results and demonstrate a pattern of decreased H with increased general psychopathology and attention-deficit/hyperactivity factor scores during a working memory task in 1,839 children. This pattern predicts current and future cognitive performance in children and some psychopathology in 703 adults. This pattern also defines psychological and functional axes associating psychopathology with an imbalance in resource allocation between fronto-parietal and sensorimotor regions, driven by reduced resource allocation to fronto-parietal regions. This suggests the hypothesis that impaired working memory function in psychopathology follows from a reduced cognitive resource pool and a reduction in resources allocated to the task at hand.
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Affiliation(s)
| | | | - Omid Kardan
- Department of Psychology, University of Chicago
| | | | | | - Monica D. Rosenberg
- Department of Psychology, University of Chicago
- The Neuroscience Institute, University of Chicago
| | | | | | - Marc G. Berman
- Department of Psychology, University of Chicago
- The Neuroscience Institute, University of Chicago
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2
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Bao S, Boyd BD, Kanakaraj P, Ramadass K, Meyer FAC, Liu Y, Duett WE, Huo Y, Lyu I, Zald DH, Smith SA, Rogers BP, Landman BA. Integrating the BIDS Neuroimaging Data Format and Workflow Optimization for Large-Scale Medical Image Analysis. J Digit Imaging 2022; 35:1576-1589. [PMID: 35922700 PMCID: PMC9712842 DOI: 10.1007/s10278-022-00679-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2021] [Revised: 06/21/2022] [Accepted: 07/08/2022] [Indexed: 01/01/2023] Open
Abstract
A robust medical image computing infrastructure must host massive multimodal archives, perform extensive analysis pipelines, and execute scalable job management. An emerging data format standard, the Brain Imaging Data Structure (BIDS), introduces complexities for interfacing with XNAT archives. Moreover, workflow integration is combinatorically problematic when matching large amount of processing to large datasets. Historically, workflow engines have been focused on refining workflows themselves instead of actual job generation. However, such an approach is incompatible with data centric architecture that hosts heterogeneous medical image computing. Distributed automation for XNAT toolkit (DAX) provides large-scale image storage and analysis pipelines with an optimized job management tool. Herein, we describe developments for DAX that allows for integration of XNAT and BIDS standards. We also improve DAX's efficiencies of diverse containerized workflows in a high-performance computing (HPC) environment. Briefly, we integrate YAML configuration processor scripts to abstract workflow data inputs, data outputs, commands, and job attributes. Finally, we propose an online database-driven mechanism for DAX to efficiently identify the most recent updated sessions, thereby improving job building efficiency on large projects. We refer the proposed overall DAX development in this work as DAX-1 (DAX version 1). To validate the effectiveness of the new features, we verified (1) the efficiency of converting XNAT data to BIDS format and the correctness of the conversion using a collection of BIDS standard containerized neuroimaging workflows, (2) how YAML-based processor simplified configuration setup via a sequence of application pipelines, and (3) the productivity of DAX-1 on generating actual HPC processing jobs compared with earlier DAX baseline method. The empirical results show that (1) DAX-1 converting XNAT data to BIDS has similar speed as accessing XNAT data only; (2) YAML can integrate to the DAX-1 with shallow learning curve for users, and (3) DAX-1 reduced the job/assessor generation latency by finding recent modified sessions. Herein, we present approaches for efficiently integrating XNAT and modern image formats with a scalable workflow engine for the large-scale dataset access and processing.
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Affiliation(s)
- Shunxing Bao
- Computer Science, Vanderbilt University, Nashville, TN USA
- Electrical and Computer Engineering, Vanderbilt University, Nashville, TN USA
| | - Brian D. Boyd
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN USA
| | | | | | | | - Yuqian Liu
- Institute of Imaging Science, Vanderbilt University, Nashville, TN USA
| | - William E. Duett
- Institute of Imaging Science, Vanderbilt University, Nashville, TN USA
| | - Yuankai Huo
- Computer Science, Vanderbilt University, Nashville, TN USA
- Electrical and Computer Engineering, Vanderbilt University, Nashville, TN USA
- Data Science Institute, Vanderbilt University, Nashville, TN USA
| | - Ilwoo Lyu
- Computer Science and Engineering, Ulsan National Institute of Science and Technology, Ulsan, South Korea
| | - David H. Zald
- Department of Psychology, Vanderbilt University, Nashville, TN USA
- Department of Psychiatry, Brain Health Institute, Rutgers University, Piscataway, NJ USA
| | - Seth A. Smith
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN USA
- Institute of Imaging Science, Vanderbilt University, Nashville, TN USA
- Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN USA
| | - Baxter P. Rogers
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN USA
- Institute of Imaging Science, Vanderbilt University, Nashville, TN USA
- Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN USA
| | - Bennett A. Landman
- Computer Science, Vanderbilt University, Nashville, TN USA
- Institute of Imaging Science, Vanderbilt University, Nashville, TN USA
- Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN USA
- Electrical and Computer Engineering, Vanderbilt University, Nashville, TN USA
- Biomedical Engineering, Vanderbilt University, Nashville, TN USA
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3
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Affiliation(s)
- Ashley L. Watts
- Department of Psychological Sciences, University of Missouri, Columbia, MO, USA
| | - Sean P. Lane
- Department of Psychological Sciences, Purdue University, West Lafayette, IN, USA
| | - Wes Bonifay
- Department of Education, School, and Counseling Psychology, University of Missouri, Columbia, MO, USA
| | - Douglas Steinley
- Department of Psychological Sciences, University of Missouri, Columbia, MO, USA
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4
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Cardenas-Iniguez C, Moore TM, Kaczkurkin AN, Meyer FAC, Satterthwaite TD, Fair DA, White T, Blok E, Applegate B, Thompson LM, Rosenberg MD, Hedeker D, Berman MG, Lahey BB. Direct and Indirect Associations of Widespread Individual Differences in Brain White Matter Microstructure With Executive Functioning and General and Specific Dimensions of Psychopathology in Children. Biol Psychiatry Cogn Neurosci Neuroimaging 2020; 7:362-375. [PMID: 33518499 DOI: 10.1016/j.bpsc.2020.11.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/28/2020] [Revised: 11/13/2020] [Accepted: 11/13/2020] [Indexed: 10/22/2022]
Abstract
BACKGROUND Executive functions (EFs) are important partly because they are associated with risk for psychopathology and substance use problems. Because EFs have been linked to white matter microstructure, we tested the prediction that fractional anisotropy (FA) and mean diffusivity (MD) in white matter tracts are associated with EFs and dimensions of psychopathology in children younger than the age of widespread psychoactive substance use. METHODS Parent symptom ratings, EF test scores, and diffusion tensor parameters from 8588 9- to 10-year-olds in the ABCD Study (Adolescent Brain Cognitive Development Study) were used. RESULTS A latent factor derived from EF test scores was significantly associated with specific conduct problems and attention-deficit/hyperactivity disorder problems, with dimensions defined in a bifactor model. Furthermore, EFs were associated with FA and MD in 16 of 17 bilateral white matter tracts (range: β = .05; SE = .17; through β = -.31; SE = .06). Neither FA nor MD was directly associated with psychopathology, but there were significant indirect associations via EFs of both FA (range: β = .01; SE = .01; through β = -.09; SE = .02) and MD (range: β = .01; SE = .01; through β = .09; SE = .02) with both specific conduct problems and attention-deficit/hyperactivity disorder in all tracts except the forceps minor. CONCLUSIONS EFs in children are inversely associated with diffusion tensor imaging measures in nearly all tracts throughout the brain. Furthermore, variance in diffusion tensor measures that is shared with EFs is indirectly shared with attention-deficit/hyperactivity disorder and conduct problems.
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Affiliation(s)
- Carlos Cardenas-Iniguez
- Department of Psychology, Division of the Social Sciences, University of Chicago, Chicago, Illinois
| | - Tyler M Moore
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Antonia N Kaczkurkin
- Department of Psychological Sciences, Vanderbilt University, Nashville, Tennessee
| | - Francisco A C Meyer
- Department of Psychological Sciences, Vanderbilt University, Nashville, Tennessee
| | - Theodore D Satterthwaite
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Damien A Fair
- Department of Behavioral Neuroscience, School of Medicine, Oregon Health and Science University, Portland, Oregon
| | - Tonya White
- Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Elisabet Blok
- Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Brooks Applegate
- Department of Educational Leadership, Research and Technology, College of Education and Human Development, Western Michigan University, Kalamazoo, Michigan
| | - Lauren M Thompson
- Department of Public Health Sciences, Division of the Biological Sciences, University of Chicago, Chicago, Illinois
| | - Monica D Rosenberg
- Department of Psychology, Division of the Social Sciences, University of Chicago, Chicago, Illinois
| | - Donald Hedeker
- Department of Public Health Sciences, Division of the Biological Sciences, University of Chicago, Chicago, Illinois
| | - Marc G Berman
- Department of Psychology, Division of the Social Sciences, University of Chicago, Chicago, Illinois
| | - Benjamin B Lahey
- Department of Public Health Sciences, Division of the Biological Sciences, University of Chicago, Chicago, Illinois.
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5
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Stenfors CUD, Van Hedger SC, Schertz KE, Meyer FAC, Smith KEL, Norman GJ, Bourrier SC, Enns JT, Kardan O, Jonides J, Berman MG. Corrigendum: Positive Effects of Nature on Cognitive Performance Across Multiple Experiments: Test Order but Not Affect Modulates the Cognitive Effects. Front Psychol 2019; 10:2242. [PMID: 31681075 PMCID: PMC6811729 DOI: 10.3389/fpsyg.2019.02242] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2019] [Accepted: 09/19/2019] [Indexed: 11/13/2022] Open
Abstract
[This corrects the article DOI: 10.3389/fpsyg.2019.01413.].
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Affiliation(s)
- Cecilia U D Stenfors
- Department of Psychology, University of Chicago, Chicago, IL, United States.,Department of Neurobiology, Care Science and Society, Aging Research Center, Karolinska Institute, Stockholm, Sweden.,Department of Psychology, Stockholm University, Stockholm, Sweden
| | | | - Kathryn E Schertz
- Department of Psychology, University of Chicago, Chicago, IL, United States
| | | | - Karen E L Smith
- Department of Psychology, University of Chicago, Chicago, IL, United States
| | - Greg J Norman
- Department of Psychology, University of Chicago, Chicago, IL, United States
| | - Stefan C Bourrier
- Department of Psychology, University of British Columbia, Vancouver, BC, Canada
| | - James T Enns
- Department of Psychology, University of British Columbia, Vancouver, BC, Canada
| | - Omid Kardan
- Department of Psychology, University of Chicago, Chicago, IL, United States
| | - John Jonides
- Department of Psychology, University of Michigan, Ann Arbor, MI, United States
| | - Marc G Berman
- Department of Psychology, University of Chicago, Chicago, IL, United States
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6
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Stenfors CUD, Van Hedger SC, Schertz KE, Meyer FAC, Smith KEL, Norman GJ, Bourrier SC, Enns JT, Kardan O, Jonides J, Berman MG. Positive Effects of Nature on Cognitive Performance Across Multiple Experiments: Test Order but Not Affect Modulates the Cognitive Effects. Front Psychol 2019; 10:1413. [PMID: 31333526 PMCID: PMC6616085 DOI: 10.3389/fpsyg.2019.01413] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2018] [Accepted: 05/31/2019] [Indexed: 11/13/2022] Open
Abstract
Interactions with natural environments and nature-related stimuli have been found to be beneficial to cognitive performance, in particular on executive cognitive tasks with high demands on directed attention processes. However, results vary across different studies. The aim of the present paper was to evaluate the effects of nature vs. urban environments on cognitive performance across all of our published and new/unpublished studies testing the effects of different interactions with nature vs. urban/built control environments, on an executive-functioning test with high demands on directed attention—the backwards digit span (BDS) task. Specific aims in this study were to: (1) evaluate the effect of nature vs. urban environment interactions on BDS across different exposure types (e.g., real-world vs. artificial environments/stimuli); (2) disentangle the effects of testing order (i.e., effects caused by the order in which experimental conditions are administered) from the effects of the environment interactions, and (3) test the (mediating) role of affective changes on BDS performance. To this end, data from 13 experiments are presented, and pooled data-analyses are performed. Results from the pooled data-analyses (N = 528 participants) showed significant time-by-environment interactions with beneficial effects of nature compared to urban environments on BDS performance. There were also clear interactions with the order in which environment conditions were tested. Specifically, there were practice effects across environment conditions in first sessions. Importantly, after parceling out initial practice effects, the positive effects of nature compared to urban interactions on BDS performance were magnified. Changes in positive or negative affect did not mediate the beneficial effects of nature on BDS performance. These results are discussed in relation to the findings of other studies identified in the literature. Uncontrolled and confounding order effects (i.e., effects due to the order of experimental conditions, rather than the treatment conditions) may explain some of the inconsistent findings across studies in the literature on nature effects on cognitive performance. In all, these results highlight the robustness of the effects of natural environments on cognition, particularly when confounding order effects have been considered, and provide a more nuanced account of when a nature intervention will be most effective.
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Affiliation(s)
- Cecilia U D Stenfors
- Department of Psychology, University of Chicago, Chicago, IL, United States.,Department of Neurobiology, Care Science and Society, Aging Research Center, Karolinska Institute, Stockholm, Sweden.,Department of Psychology, Stockholm University, Stockholm, Sweden
| | | | - Kathryn E Schertz
- Department of Psychology, University of Chicago, Chicago, IL, United States
| | | | - Karen E L Smith
- Department of Psychology, University of Chicago, Chicago, IL, United States
| | - Greg J Norman
- Department of Psychology, University of Chicago, Chicago, IL, United States
| | - Stefan C Bourrier
- Department of Psychology, University of British Columbia, Vancouver, BC, Canada
| | - James T Enns
- Department of Psychology, University of British Columbia, Vancouver, BC, Canada
| | - Omid Kardan
- Department of Psychology, University of Chicago, Chicago, IL, United States
| | - John Jonides
- Department of Psychology, University of Michigan, Ann Arbor, MI, United States
| | - Marc G Berman
- Department of Psychology, University of Chicago, Chicago, IL, United States
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7
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Hinton KE, Lahey BB, Villalta-Gil V, Meyer FAC, Burgess LL, Chodes LK, Applegate B, Van Hulle CA, Landman BA, Zald DH. White matter microstructure correlates of general and specific second-order factors of psychopathology. Neuroimage Clin 2019; 22:101705. [PMID: 30753960 PMCID: PMC6369105 DOI: 10.1016/j.nicl.2019.101705] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2018] [Revised: 01/29/2019] [Accepted: 01/31/2019] [Indexed: 12/11/2022]
Abstract
Increasing data indicate that prevalent forms of psychopathology can be organized into second-order dimensions based on their correlations, including a general factor of psychopathology that explains the common variance among all disorders and specific second-order externalizing and internalizing factors. Nevertheless, most existing studies on the neural correlates of psychopathology employ case-control designs that treat diagnoses as independent categories, ignoring the highly correlated nature of psychopathology. Thus, for instance, although perturbations in white matter microstructure have been identified across a range of mental disorders, nearly all such studies used case-control designs, leaving it unclear whether observed relations reflect disorder-specific characteristics or transdiagnostic associations. Using a representative sample of 410 young adult twins oversampled for psychopathology risk, we tested the hypothesis that some previously observed relations between white matter microstructure properties in major tracts and specific disorders are related to second-order factors of psychopathology. We examined fractional anisotropy (FA), radial diffusivity (RD), and axial diffusivity (AD). White matter correlates of all second-order factors were identified after controlling for multiple statistical tests, including the general factor (FA in the body of the corpus callosum), specific internalizing (AD in the fornix), and specific externalizing (AD in the splenium of the corpus callosum, sagittal stratum, anterior corona radiata, and internal capsule). These findings suggest that some features of white matter within specific tracts may be transdiagnostically associated multiple forms of psychopathology through second-order factors of psychopathology rather with than individual mental disorders.
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Affiliation(s)
- Kendra E Hinton
- Department of Psychological Sciences, Vanderbilt University, Nashville, TN, United States.
| | - Benjamin B Lahey
- Department of Public Health Sciences, University of Chicago, Chicago, IL, United States
| | - Victoria Villalta-Gil
- Department of Psychological Sciences, Vanderbilt University, Nashville, TN, United States
| | - Francisco A C Meyer
- Department of Psychological Sciences, Vanderbilt University, Nashville, TN, United States
| | - Leah L Burgess
- Department of Psychological Sciences, Vanderbilt University, Nashville, TN, United States
| | - Laura K Chodes
- Department of Psychological Sciences, Vanderbilt University, Nashville, TN, United States
| | - Brooks Applegate
- Department of Educational Leadership, Research and Technology, Western Michigan University, Kalamazoo, MI, United States
| | - Carol A Van Hulle
- Waisman Center, University of Wisconsin-Madison, Madison, WI, United States
| | - Bennett A Landman
- School of Engineering, Vanderbilt University, Nashville, TN, United States
| | - David H Zald
- Department of Psychological Sciences, Vanderbilt University, Nashville, TN, United States
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8
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Ibarra FF, Kardan O, Hunter MR, Kotabe HP, Meyer FAC, Berman MG. Image Feature Types and Their Predictions of Aesthetic Preference and Naturalness. Front Psychol 2017; 8:632. [PMID: 28503158 PMCID: PMC5408127 DOI: 10.3389/fpsyg.2017.00632] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2016] [Accepted: 04/07/2017] [Indexed: 11/13/2022] Open
Abstract
Previous research has investigated ways to quantify visual information of a scene in terms of a visual processing hierarchy, i.e., making sense of visual environment by segmentation and integration of elementary sensory input. Guided by this research, studies have developed categories for low-level visual features (e.g., edges, colors), high-level visual features (scene-level entities that convey semantic information such as objects), and how models of those features predict aesthetic preference and naturalness. For example, in Kardan et al. (2015a), 52 participants provided aesthetic preference and naturalness ratings, which are used in the current study, for 307 images of mixed natural and urban content. Kardan et al. (2015a) then developed a model using low-level features to predict aesthetic preference and naturalness and could do so with high accuracy. What has yet to be explored is the ability of higher-level visual features (e.g., horizon line position relative to viewer, geometry of building distribution relative to visual access) to predict aesthetic preference and naturalness of scenes, and whether higher-level features mediate some of the association between the low-level features and aesthetic preference or naturalness. In this study we investigated these relationships and found that low- and high- level features explain 68.4% of the variance in aesthetic preference ratings and 88.7% of the variance in naturalness ratings. Additionally, several high-level features mediated the relationship between the low-level visual features and aaesthetic preference. In a multiple mediation analysis, the high-level feature mediators accounted for over 50% of the variance in predicting aesthetic preference. These results show that high-level visual features play a prominent role predicting aesthetic preference, but do not completely eliminate the predictive power of the low-level visual features. These strong predictors provide powerful insights for future research relating to landscape and urban design with the aim of maximizing subjective well-being, which could lead to improved health outcomes on a larger scale.
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Affiliation(s)
- Frank F Ibarra
- Department of Psychology, University of ChicagoChicago, IL, USA
| | - Omid Kardan
- Department of Psychology, University of ChicagoChicago, IL, USA
| | - MaryCarol R Hunter
- School of Natural Resources and Environment, University of MichiganAnn Arbor, MI, USA
| | - Hiroki P Kotabe
- Department of Psychology, University of ChicagoChicago, IL, USA
| | - Francisco A C Meyer
- Department of Psychological Sciences, Vanderbilt UniversityNashville, TN, USA
| | - Marc G Berman
- Department of Psychology, University of ChicagoChicago, IL, USA
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