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Ji S, Chen F, Li S, Zhou C, Liu C, Yu H. Dynamic brain entropy predicts risky decision-making across transdiagnostic dimensions of psychopathology. Behav Brain Res 2024; 476:115255. [PMID: 39326636 DOI: 10.1016/j.bbr.2024.115255] [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: 07/12/2024] [Revised: 09/10/2024] [Accepted: 09/17/2024] [Indexed: 09/28/2024]
Abstract
OBJECTIVES Maladaptive risky decision-making is a common pathological behavior among patients with various psychiatric disorders. Brain entropy, which measures the complexity of brain time series signals, provides a novel approach to assessing brain health. Despite its potential, the dynamics of brain entropy have seldom been explored. This study aimed to construct a dynamic model of brain entropy and examine its predictive value for risky decision-making in patients with mental disorders, utilizing resting-state functional magnetic resonance imaging (rs-fMRI). METHODS This study analyzed the rs-fMRI data from a total of 198 subjects, including 48 patients with bipolar disorder (BD), 47 patients with schizophrenia (SZ), 40 patients with adult attention deficit hyperactivity disorder (ADHD), as well as 63 healthy controls (HC). Time series signals were extracted from 264 brain regions based on rs-fMRI. The traditional static entropy and dynamic entropy (coefficient of variation, CV; rate of change, Rate) were constructed, respectively. Support vector regression was employed to predict risky decision-making utilizing leave-one-out cross-validation within each group. RESULTS Our findings showed that CV achieved the best performances in HC and BD groups (r = -0.58, MAE = 6.43, R2 = 0.32; r = -0.78, MAE = 12.10, R2 = 0.61), while the Rate achieved the best in SZ and ADHD groups (r = -0.69, MAE = 10.20, R2 = 0.47; r = -0.78, MAE = 7.63, R2 = 0.60). For the dynamic entropy, the feature selection threshold rather than the time window length and overlapping ratio influenced predictive performance. CONCLUSIONS These results suggest that dynamic brain entropy could be a more effective predictor of risky decision-making than traditional static brain entropy. Our findings offer a novel perspective on exploring brain signal complexity and can serve as a reference for interventions targeting risky decision-making behaviors, particularly in individuals with psychiatric diagnoses.
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Affiliation(s)
- Shanling Ji
- Institute of Mental Health, Jining Medical University, Shandong, China
| | - Fujian Chen
- Medical Imaging Department, Shandong Daizhuang Hospital, Shandong, China
| | - Sen Li
- Institute of Mental Health, Jining Medical University, Shandong, China
| | - Cong Zhou
- Institute of Mental Health, Jining Medical University, Shandong, China
| | - Chuanxin Liu
- Institute of Mental Health, Jining Medical University, Shandong, China.
| | - Hao Yu
- Institute of Mental Health, Jining Medical University, Shandong, China.
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Wang M, Zhang S, Suo T, Mao T, Wang F, Deng Y, Eickhoff S, Pan Y, Jiang C, Rao H. Risk-taking in the human brain: An activation likelihood estimation meta-analysis of the balloon analog risk task (BART). Hum Brain Mapp 2022; 43:5643-5657. [PMID: 36441844 PMCID: PMC9704781 DOI: 10.1002/hbm.26041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Revised: 05/25/2022] [Accepted: 07/15/2022] [Indexed: 01/15/2023] Open
Abstract
The Balloon Analog Risk Task (BART) is increasingly used to assess risk-taking behavior and brain function. However, the brain networks underlying risk-taking during the BART and its reliability remain controversial. Here, we combined the activation likelihood estimation (ALE) meta-analysis with both task-based and task-free functional connectivity (FC) analysis to quantitatively synthesize brain networks involved in risk-taking during the BART, and compared the differences between adults and adolescents studies. Based on 22 pooled publications, the ALE meta-analysis revealed multiple brain regions in the reward network, salience network, and executive control network underlying risk-taking during the BART. Compared with adult risk-taking, adolescent risk-taking showed greater activation in the insula, putamen, and prefrontal regions. The combination of meta-analytic connectivity modeling with task-free FC analysis further confirmed the involvement of the reward, salience, and cognitive control networks in the BART. These findings demonstrate the core brain networks for risk-taking during the BART and support the utility of the BART for future neuroimaging and developmental research.
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Affiliation(s)
- Mengmeng Wang
- Center for Magnetic Resonance Imaging Research & Key Laboratory of Applied Brain and Cognitive Sciences, School of Business and ManagementShanghai International Studies UniversityShanghaiChina
| | - Shunmin Zhang
- Department of Psychology and Behavioral SciencesZhejiang UniversityHangzhouZhejiangChina
| | - Tao Suo
- School of Education, Institute of Cognition, Brain, and Health, Institute of Psychology and BehaviorHenan UniversityKaifengHenanChina
| | - Tianxin Mao
- Center for Magnetic Resonance Imaging Research & Key Laboratory of Applied Brain and Cognitive Sciences, School of Business and ManagementShanghai International Studies UniversityShanghaiChina
| | - Fenghua Wang
- Center for Magnetic Resonance Imaging Research & Key Laboratory of Applied Brain and Cognitive Sciences, School of Business and ManagementShanghai International Studies UniversityShanghaiChina
| | - Yao Deng
- Center for Magnetic Resonance Imaging Research & Key Laboratory of Applied Brain and Cognitive Sciences, School of Business and ManagementShanghai International Studies UniversityShanghaiChina
- Center for Functional Neuroimaging, Department of NeurologyUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPennsylvaniaUSA
| | - Simon Eickhoff
- Institute of Neuroscience and Medicine, Brain and Behaviour (INM‐7), Research Centre JülichJülichGermany
- Institute of Systems Neuroscience, Medical FacultyHeinrich Heine University DüsseldorfDüsseldorfGermany
| | - Yu Pan
- Center for Magnetic Resonance Imaging Research & Key Laboratory of Applied Brain and Cognitive Sciences, School of Business and ManagementShanghai International Studies UniversityShanghaiChina
| | - Caihong Jiang
- Center for Magnetic Resonance Imaging Research & Key Laboratory of Applied Brain and Cognitive Sciences, School of Business and ManagementShanghai International Studies UniversityShanghaiChina
| | - Hengyi Rao
- Center for Magnetic Resonance Imaging Research & Key Laboratory of Applied Brain and Cognitive Sciences, School of Business and ManagementShanghai International Studies UniversityShanghaiChina
- Center for Functional Neuroimaging, Department of NeurologyUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPennsylvaniaUSA
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Bursting balloons - comparison of risk taking between extreme sports, esports, and the general public. CURRENT PSYCHOLOGY 2021. [DOI: 10.1007/s12144-021-02616-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
AbstractArguably, extreme sports athletes exhibit a more significant risk appetite than the general public. Are standard behavioral risk measures able to capture this? To answer this question, we assessed self-reports of risk taking and measured the risk-taking behavior of samples of snowboarders and climbers. Two groups of non-athletes, university students and crowdworkers, and athletes of a sport that does not include the potential of grave injury or death, esports athletes, serve as control conditions and complement our study. Across these five different groups, 1313 participants performed an online version of the Balloon Analogue Risk Task (BART) and gave self-reports of general willingness to take risks and sports-specific risk taking. Extreme sports athletes exhibited greater risk taking in the BART than non-athletes and esports athletes. Furthermore, BART-performance predicted sports-specific risk taking and its affective consequences. Our results speak to the BART’s ecological validity and the unique role of physical consequences on risk-taking behavior.
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Canning JR, Schallert MR, Larimer ME. A Systematic Review of the Balloon Analogue Risk Task (BART) in Alcohol Research. Alcohol Alcohol 2021; 57:85-103. [PMID: 33592622 DOI: 10.1093/alcalc/agab004] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Revised: 12/07/2020] [Accepted: 01/08/2021] [Indexed: 11/15/2022] Open
Abstract
Risk-taking propensity has been crucial to the investigation of alcohol use and consequences. One measure, the balloon analogue risk task (BART), has been used consistently over the past two decades. However, it is unclear how this measure is related to alcohol outcomes. This paper systematically reviews the literature on the BART and alcohol outcomes. First, direct associations between the BART and alcohol use are reviewed including correlations, group comparisons, the BART's prediction of alcohol outcomes and BART performance after consuming alcohol. Then, potential moderators that explain when and for whom the BART is related to alcohol outcomes are reviewed. Finally, potential mechanisms that explain how the BART and alcohol outcomes are related are reviewed. This review reveals patterns in the BART suggesting risk-taking propensity may be related to changes in alcohol use over time; however, there is little evidence to suggest BART scores increase after consuming alcohol. Yet, additional research suggests adjusted average pump scores may be too simplistic for the amount of information the BART captures and understanding individual's patterns of responses on the BART is important for investigating its relation to alcohol outcomes. Finally, this review opens up several future directions for research to understand how risk-taking propensity is related to alcohol outcomes.
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Affiliation(s)
- Jessica R Canning
- Department of Psychology, University of Washington, Seattle, WA, USA
| | - Macey R Schallert
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, USA
| | - Mary E Larimer
- Department of Psychology, University of Washington, Seattle, WA, USA.,Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, USA
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Li X, Pan Y, Fang Z, Lei H, Zhang X, Shi H, Ma N, Raine P, Wetherill R, Kim JJ, Wan Y, Rao H. Test-retest reliability of brain responses to risk-taking during the balloon analogue risk task. Neuroimage 2019; 209:116495. [PMID: 31887425 PMCID: PMC7061333 DOI: 10.1016/j.neuroimage.2019.116495] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2019] [Revised: 12/20/2019] [Accepted: 12/23/2019] [Indexed: 12/24/2022] Open
Abstract
The Balloon Analogue Risk Task (BART) provides a reliable and ecologically valid model for the assessment of individual risk-taking propensity and is frequently used in neuroimaging and developmental research. Although the test-retest reliability of risk-taking behavior during the BART is well established, the reliability of brain activation patterns in response to risk-taking during the BART remains elusive. In this study, we used functional magnetic resonance imaging (fMRI) and evaluated the test-retest reliability of brain responses in 34 healthy adults during a modified BART by calculating the intraclass correlation coefficients (ICC) and Dice’s similarity coefficients (DSC). Analyses revealed that risk-induced brain activation patterns showed good test-retest reliability (median ICC = 0.62) and moderate to high spatial consistency, while brain activation patterns associated with win or loss outcomes only had poor to fair reliability (median ICC = 0.33 for win and 0.42 for loss). These findings have important implications for future utility of the BART in fMRI to examine brain responses to risk-taking and decision-making.
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Affiliation(s)
- Xiong Li
- School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing, China
| | - Yu Pan
- School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing, China; Key Laboratory of Applied Brain and Cognitive Sciences, School of Business and Management, Shanghai International Studies University, Shanghai, China
| | - Zhuo Fang
- Key Laboratory of Applied Brain and Cognitive Sciences, School of Business and Management, Shanghai International Studies University, Shanghai, China; Center for Functional Neuroimaging, Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Hui Lei
- Center for Functional Neuroimaging, Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Xiaocui Zhang
- Center for Functional Neuroimaging, Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Hui Shi
- Center for Functional Neuroimaging, Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Ning Ma
- Center for Functional Neuroimaging, Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Philip Raine
- Center for Functional Neuroimaging, Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Reagan Wetherill
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Junghoon J Kim
- Department of Molecular, Cellular, and Biomedical Sciences, CUNY School of Medicine, The City College of New York, New York, NY, USA
| | - Yan Wan
- School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing, China
| | - Hengyi Rao
- Key Laboratory of Applied Brain and Cognitive Sciences, School of Business and Management, Shanghai International Studies University, Shanghai, China; Center for Functional Neuroimaging, Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
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High sensation seeking is associated with behavioral and neural insensitivity to increased negative outcomes during decision-making under uncertainty. COGNITIVE AFFECTIVE & BEHAVIORAL NEUROSCIENCE 2019; 19:1352-1363. [DOI: 10.3758/s13415-019-00751-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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Borges AM, Lejuez CW, Felton JW. Positive alcohol use expectancies moderate the association between anxiety sensitivity and alcohol use across adolescence. Drug Alcohol Depend 2018; 187:179-184. [PMID: 29677626 PMCID: PMC5959789 DOI: 10.1016/j.drugalcdep.2018.02.029] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/29/2017] [Revised: 02/25/2018] [Accepted: 02/27/2018] [Indexed: 10/17/2022]
Abstract
Anxiety sensitivity (AS), or the fear of anxious symptoms and the belief that these symptoms may have negative physical, social, and cognitive consequences, is one personality trait that emerges in early adolescence and may be linked to alcohol use. However, findings are equivocal as to whether elevated AS during adolescence directly predicts alcohol use. Adolescents do report increases in positive alcohol use expectancies during this developmental period, and these expectancies have been found to be significantly associated with alcohol use. The current study examined whether positive alcohol use expectancies and AS in early adolescence predicted changes in alcohol use throughout adolescence. This aim was examined via secondary data analyses from a longitudinal study examining the development of risk behaviors in adolescents. Results of univariate latent growth curve modeling suggest that AS alone was not a significant predictor of baseline alcohol use or change in use over time after controlling for gender, age, and self-reported anxiety. However, AS in early adolescence was found to be a significant predictor of increases in alcohol use across adolescence for youth who reported greater positive alcohol use expectancies. These results indicate that beliefs regarding the positive effects of alcohol use are an important moderator in the relation between AS and change in alcohol use during adolescence.
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Affiliation(s)
- Allison M. Borges
- Department of Psychology, Rutgers University, New Brunswick, 152 Frelinghuysen Rd., Piscataway Township, NJ 08854, USA
| | - Carl W. Lejuez
- University of Kansas, College of Liberal Arts and Sciences, 1450 Jayhawk Blvd., #200, Lawrence, KS 66045, USA
| | - Julia W. Felton
- Department of Psychology, University of Maryland, College Park, 4094 Campus Dr., College Park, MD 20742, USA
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Detpitukyon S, Apidechkul T, Sunsern R, Anuwatnonthakate A, Singhhorn O, Putsa B, Thutsanti P. Patterns and perception of alcohol drinking among the Lahu people, Northern Thailand. JOURNAL OF HEALTH RESEARCH 2018. [DOI: 10.1108/jhr-05-2018-020] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
Abstract
Purpose
The purpose of this paper is to understand the pattern and perception of alcohol drinking among the Lahu people in northern Thailand.
Design/methodology/approach
A qualitative method was used to elicit information on the patterns and perceptions of alcohol drinking amongst the Lahu tribespeople. Question guidelines had been developed from literature reviews and approved by three experts in the field of public health and alcohol studies. A total of 21 participants of different ages and sexes from 3 separate Lahu villages were invited to provide information. All interviews were taped and transcribed before analysis. A content analysis was used.
Findings
Lahu people begin alcohol consumption at an average of 12 years, with males usually beginning before females of the same age. Consuming alcohol is perceived to be a sign of adulthood and is also used as a means of gaining social acceptance from others in the community. Alcohol is consumed throughout the year with young and old, male and females, describing varied reasons for drinking. Income, parental behavior, and peer pressure contributes to the onset of alcohol drinking among young Lahu people. Several factors contributed to the use of alcohol among the Lahu people such as sex, age, occupation and income, peer pressure, taste and price as well as cultural adaptations amongst the farming community that play a significant role in the frequency of alcohol consumption amongst the Lahu community.
Originality/value
The results should support the development of peer education on the negative impact of alcohol use among the young people, and development of a community agreement on reducing excessive alcohol use in the Lahu community should be implemented.
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