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Chen S, Wei M, Wang X, Liao J, Li J, Liu Y. Competitive Video Game Exposure Increases Aggression Through Impulsivity in Chinese Adolescents: Evidence From a Multi-Method Study. J Youth Adolesc 2024; 53:1-14. [PMID: 38622471 DOI: 10.1007/s10964-024-01973-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2024] [Accepted: 03/15/2024] [Indexed: 04/17/2024]
Abstract
It is widely known controversies about the results of violent video game increase aggression. However, the role of competitive video games, has received less research attention, and the underlying mechanisms of their influence are unknown. This study aimed to expand the existing literature by systematically exploring the effects of competitive video game exposure on adolescent aggression and the mediating role of impulsivity. In so doing, three types of studies (collectively N = 2919, mean age varied from 13.75 to 15.44 years, with a balanced gender) combining cross-sectional, experimental, and longitudinal approaches, were conducted. The findings consistently show that competitive video game exposure increased adolescents' aggression and impulsivity. Also, impulsivity mediated the correlation and long-term effect of competitive video game exposure on aggression. However, the experimental study did not confirm the short-term mediating effect of impulsivity, which may be related to the type of aggression measured in the study. The results indicate that competitive video game exposure is an important antecedent factor for adolescent aggression, and impulsivity is the key underlying mechanism.
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Affiliation(s)
- Shuai Chen
- Research Center of Mental Health Education, Faculty of Psychology, Southwest University, Beibei, Chongqing, 400715, China
| | - Mingchen Wei
- Research Center of Mental Health Education, Faculty of Psychology, Southwest University, Beibei, Chongqing, 400715, China
| | - Xu Wang
- Research Center of Mental Health Education, Faculty of Psychology, Southwest University, Beibei, Chongqing, 400715, China
| | - Jinqian Liao
- Research Center of Mental Health Education, Faculty of Psychology, Southwest University, Beibei, Chongqing, 400715, China
| | - Jiayi Li
- Research Center of Mental Health Education, Faculty of Psychology, Southwest University, Beibei, Chongqing, 400715, China
| | - Yanling Liu
- Research Center of Mental Health Education, Faculty of Psychology, Southwest University, Beibei, Chongqing, 400715, China.
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Wang L, Zhou L, Liu S, Zheng Y, Liu Q, Yu M, Lu X, Lei W, Chen G. Identification of patients with internet gaming disorder via a radiomics-based machine learning model of subcortical structures in high-resolution T1-weighted MRI. Prog Neuropsychopharmacol Biol Psychiatry 2024; 133:111026. [PMID: 38735428 DOI: 10.1016/j.pnpbp.2024.111026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2024] [Revised: 04/26/2024] [Accepted: 05/09/2024] [Indexed: 05/14/2024]
Abstract
It is of vital importance to establish an objective and reliable model to facilitate the early diagnosis and intervention of internet gaming disorder (IGD). A total of 133 patients with IGD and 110 healthy controls (HCs) were included. We extracted radiomic features of subcortical structures in high-resolution T1-weighted MRI. Different combinations of four feature selection methods (analysis of variance, Kruskal-Wallis, recursive feature elimination and relief) and ten classification algorithms were used to identify the most robust combined models for distinguishing IGD patients from HCs. Furthermore, a nomogram incorporating radiomic signatures and independent clinical factors was developed. Calibration curve and decision curve analyses were used to evaluate the nomogram. The combination of analysis of variance selector and logistic regression classifier identified that the radiomic model constructed with 20 features from the right caudate nucleus and amygdala showed better IGD screening performance. The radiomic model produced good areas under the curves (AUCs) in the training, validation and test cohorts (AUCs of 0.961, 0.903 and 0.895, respectively). In addition, sex, internet addiction test scores and radiomic scores were included in the nomogram as independent risk factors for IGD. Analysis of the correction curve and decision curve showed that the clinical-radiomic model has good reliability (C-index: 0.987). The nomogram incorporating radiomic features of subcortical structures and clinical characteristics achieved satisfactory classification performance and could serve as an effective tool for distinguishing IGD patients from HCs.
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Affiliation(s)
- Li Wang
- Department of Radiology, The Affiliated Hospital of Southwest Medical University, Luzhou 646000, Sichuan, China
| | - Li Zhou
- Department of Radiology, The Affiliated Hospital of Southwest Medical University, Luzhou 646000, Sichuan, China
| | - Shengdan Liu
- Department of Radiology, The Affiliated Hospital of Southwest Medical University, Luzhou 646000, Sichuan, China
| | - Yurong Zheng
- Department of Radiology, The Affiliated Hospital of Southwest Medical University, Luzhou 646000, Sichuan, China
| | - Qianhan Liu
- Department of Radiology, The Affiliated Hospital of Southwest Medical University, Luzhou 646000, Sichuan, China
| | - Minglin Yu
- Department of Radiology, The Affiliated Hospital of Southwest Medical University, Luzhou 646000, Sichuan, China
| | - Xiaofei Lu
- Department of Radiology, The Affiliated Hospital of Southwest Medical University, Luzhou 646000, Sichuan, China
| | - Wei Lei
- Department of Psychiatry, The Affiliated Hospital of Southwest Medical University, Luzhou 646000, Sichuan, China
| | - Guangxiang Chen
- Department of Radiology, The Affiliated Hospital of Southwest Medical University, Luzhou 646000, Sichuan, China.
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3
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Zhao G, Wu X, Xiao L, Liu S, Li J, Wu H. The relationship between adolescent impulsivity, mental health, and internet addiction: a latent profile analysis. PSYCHOL HEALTH MED 2024; 29:1063-1076. [PMID: 38053313 DOI: 10.1080/13548506.2023.2289478] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Accepted: 11/22/2023] [Indexed: 12/07/2023]
Abstract
This study aimed to identify group variations in adolescent impulsivity and explore the connections between latent categories of impulsivity and psychological symptoms, social anxiety, and internet addiction. The research involved 2,378 participants from three middle schools in Guangdong Province, China. We assessed the impact of impulsivity levels (measured by BBIS) on depression (measured by KADS-11), anxiety (measured by SCARED), social anxiety (measured by SASC), and internet addiction (measured by YDQ). Latent profile analysis was employed to examine the diversity in adolescent impulsivity, establish latent classifications, and investigate the variances in psychological symptoms, social anxiety, and internet addiction. The middle school students were categorized into five latent groups based on their BBIS scores. Statistical analysis revealed five impulsivity categories, strongly linked to psychological symptoms and social anxiety but less strongly associated with internet addiction. The high impulsivity group (C5) exhibited higher scores in psychological symptoms and social anxiety compared to other groups, whereas the poor self-regulation group (C3) displayed greater psychological symptoms, social anxiety scores, and internet addiction than the impulsive behavior group (C4). Future investigations should investigate the underlying factors contributing to the observed differences among these groups.
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Affiliation(s)
- Gang Zhao
- Department of Child Health Care, Maternity and Child Healthcare Hospital of Nanshan District, Shenzhen, Guangdong, China
| | - Xiaoxue Wu
- Department of Nursing, Harbin Medical University, Daqing, Heilongjiang, China
| | - Lingrong Xiao
- Department of Nursing, Harbin Medical University, Daqing, Heilongjiang, China
| | - Siyan Liu
- Department of Nursing, Harbin Medical University, Daqing, Heilongjiang, China
| | - Junru Li
- Department of Nursing, Harbin Medical University, Daqing, Heilongjiang, China
| | - Hongmei Wu
- Department of Nursing, Harbin Medical University, Daqing, Heilongjiang, China
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Zhang Z, Wang S, Du X, Qi Y, Wang L, Dong GH. Brain responses to positive and negative events in individuals with internet gaming disorder during real gaming. J Behav Addict 2023; 12:758-774. [PMID: 37651282 PMCID: PMC10562809 DOI: 10.1556/2006.2023.00039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Revised: 06/14/2023] [Accepted: 07/13/2023] [Indexed: 09/02/2023] Open
Abstract
Objective This study sought to investigate brain responses to positive and negative events in individuals with internet gaming disorder (IGD) during real gaming as a direct assessment of the neural features of IGD. This investigation reflects the neural deficits in individuals with IGD while playing games, providing direct and effective targets for prevention and treatment of IGD. Methods Thirty subjects with IGD and fifty-two matched recreational game use (RGU) subjects were scanned while playing an online game. Abnormal brain activities during positive and negative events were detected using a general linear model. Functional connectivity (FC) and correlation analyses between neural features and addiction severity were conducted to provide additional support for the underlying neural features. Results Compared to the RGU subjects, the IGD subjects exhibited decreased activation in the dorsolateral prefrontal cortex (DLPFC) during positive events and decreased activation in the middle frontal gyrus (MFG), precentral gyrus and postcentral gyrus during negative events. Decreased FC between the DLPFC and putamen during positive events and between the MFG and amygdala during negative events were observed among the IGD subjects. Neural features and addiction severity were significantly correlated. Conclusions Individuals with IGD exhibited deficits in regulating game craving, maladaptive habitual gaming behaviors and negative emotions when experiencing positive and negative events during real game-playing compared to RGU gamers. These abnormalities in neural substrates during real gaming provide direct evidence for explaining why individuals with IGD uncontrollably and continuously engage in game playing, despite negative consequences.
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Affiliation(s)
- Zhengjie Zhang
- Centre for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang Province, China
- Institute of Psychological Science, Hangzhou Normal University, Hangzhou, Zhejiang Province, China
- Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, Zhejiang Province, China
| | - Shizhen Wang
- Centre for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang Province, China
- Institute of Psychological Science, Hangzhou Normal University, Hangzhou, Zhejiang Province, China
- Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, Zhejiang Province, China
| | - Xiaoxia Du
- School of Psychology, Shanghai University of Sport, Shanghai, China
| | - Yanyan Qi
- Department of Psychology, School of Education, Zhengzhou University, Zhengzhou, China
| | - Lingxiao Wang
- Centre for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang Province, China
- Institute of Psychological Science, Hangzhou Normal University, Hangzhou, Zhejiang Province, China
- Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, Zhejiang Province, China
| | - Guang-Heng Dong
- Department of Psychology, Yunnan Normal University, Kunming, Yunnan Province, China
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Fineberg NA, Menchón JM, Hall N, Dell'Osso B, Brand M, Potenza MN, Chamberlain SR, Cirnigliaro G, Lochner C, Billieux J, Demetrovics Z, Rumpf HJ, Müller A, Castro-Calvo J, Hollander E, Burkauskas J, Grünblatt E, Walitza S, Corazza O, King DL, Stein DJ, Grant JE, Pallanti S, Bowden-Jones H, Ameringen MV, Ioannidis K, Carmi L, Goudriaan AE, Martinotti G, Sales CMD, Jones J, Gjoneska B, Király O, Benatti B, Vismara M, Pellegrini L, Conti D, Cataldo I, Riva GM, Yücel M, Flayelle M, Hall T, Griffiths M, Zohar J. Advances in problematic usage of the internet research - A narrative review by experts from the European network for problematic usage of the internet. Compr Psychiatry 2022; 118:152346. [PMID: 36029549 DOI: 10.1016/j.comppsych.2022.152346] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Revised: 06/29/2022] [Accepted: 08/09/2022] [Indexed: 01/05/2023] Open
Abstract
Global concern about problematic usage of the internet (PUI), and its public health and societal costs, continues to grow, sharpened in focus under the privations of the COVID-19 pandemic. This narrative review reports the expert opinions of members of the largest international network of researchers on PUI in the framework of the European Cooperation in Science and Technology (COST) Action (CA 16207), on the scientific progress made and the critical knowledge gaps remaining to be filled as the term of the Action reaches its conclusion. A key advance has been achieving consensus on the clinical definition of various forms of PUI. Based on the overarching public health principles of protecting individuals and the public from harm and promoting the highest attainable standard of health, the World Health Organisation has introduced several new structured diagnoses into the ICD-11, including gambling disorder, gaming disorder, compulsive sexual behaviour disorder, and other unspecified or specified disorders due to addictive behaviours, alongside naming online activity as a diagnostic specifier. These definitions provide for the first time a sound platform for developing systematic networked research into various forms of PUI at global scale. Progress has also been made in areas such as refining and simplifying some of the available assessment instruments, clarifying the underpinning brain-based and social determinants, and building more empirically based etiological models, as a basis for therapeutic intervention, alongside public engagement initiatives. However, important gaps in our knowledge remain to be tackled. Principal among these include a better understanding of the course and evolution of the PUI-related problems, across different age groups, genders and other specific vulnerable groups, reliable methods for early identification of individuals at risk (before PUI becomes disordered), efficacious preventative and therapeutic interventions and ethical health and social policy changes that adequately safeguard human digital rights. The paper concludes with recommendations for achievable research goals, based on longitudinal analysis of a large multinational cohort co-designed with public stakeholders.
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Affiliation(s)
- Naomi A Fineberg
- Hertfordshire Partnership University NHS Foundation Trust, Hertfordshire, UK; School of Life and Medical Sciences, University of Hertfordshire, Hatfield, UK; School of Clinical Medicine, University of Cambridge, Cambridge, UK.
| | - José M Menchón
- Department of Psychiatry, Bellvitge University Hospital-IDIBELL, University of Barcelona, Cibersam, Barcelona, Spain
| | - Natalie Hall
- Centre for Health Services and Clinical Research, University of Hertfordshire, Hatfield, UK
| | - Bernardo Dell'Osso
- Luigi Sacco University Hospital, Psychiatry 2 Unit, University of Milan, Milan, Italy; "Aldo Ravelli" Center for Nanotechnology and Neurostimulation, University of Milan, Milan, Italy; Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA; Centro per lo studio dei meccanismi molecolari alla base delle patologie neuro-psico-geriatriche", University of Milan, Milan, Italy
| | - Matthias Brand
- General Psychology: Cognition and Center for Behavioral Addiction Research (CeBAR), University of Duisburg-Essen, Germany; Erwin L. Hahn Institute for Magnetic Resonance Imaging, Essen, Germany
| | - Marc N Potenza
- Departments of Psychiatry, Neuroscience and Child Study, Yale University School of Medicine, and Wu Tsai Institute, Yale University, New Haven, USA, New Haven, USA; Connecticut Council on Problem Gambling, Wethersfield, USA; Connecticut Mental Health Center, New Haven, USA
| | - Samuel R Chamberlain
- Department of Psychiatry, Faculty of Medicine, University of Southampton, UK; Southern Health NHS Foundation Trust, Southampton, UK
| | - Giovanna Cirnigliaro
- Luigi Sacco University Hospital, Psychiatry 2 Unit, University of Milan, Milan, Italy
| | - Christine Lochner
- SAMRC Unit on Risk and Resilience in Mental Disorders, Department of Psychiatry, Stellenbosch University, South Africa
| | - Joël Billieux
- Institute of Psychology, University of Lausanne (UNIL), Lausanne, Switzerland
| | - Zsolt Demetrovics
- Centre of Excellence in Responsible Gaming, University of Gibraltar, Gibraltar, Gibraltar; Institute of Psychology, ELTE Eötvös Loránd University, Budapest, Hungary
| | - Hans Jürgen Rumpf
- Department of Psychiatry and Psychotherapy, Translational Psychiatry Unit, Research Group S:TEP (Substance use and related disorders: Treatment, Epidemiology and Prevention) University of Lübeck, Lübeck, Germany
| | - Astrid Müller
- Department of Psychosomatic Medicine and Psychotherapy, Hannover Medical School, Hanover, Germany
| | - Jesús Castro-Calvo
- Department of Personality, Assessment, and Psychological Treatments, University of Valencia, Spain
| | - Eric Hollander
- Autism and Obsessive Compulsive Spectrum Program, Psychiatric Research Institute at Montefiore-Einstein, Albert Einstein College of Medicine
| | - Julius Burkauskas
- Laboratory of Behavioral Medicine, Neuroscience Institute, Lithuanian University of Health Sciences, Vyduno al. 4, 00135 Palanga, Lithuania
| | - Edna Grünblatt
- Department of Child and Adolescent Psychiatry and Psychotherapy, Psychiatric University Hospital Zurich, University of Zurich, Zurich, Switzerland; Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland; Zurich Center for Integrative Human Physiology, University of Zurich, Zurich, Switzerland
| | - Susanne Walitza
- Department of Child and Adolescent Psychiatry and Psychotherapy, Psychiatric University Hospital Zurich, University of Zurich, Zurich, Switzerland; Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland; Zurich Center for Integrative Human Physiology, University of Zurich, Zurich, Switzerland
| | - Ornella Corazza
- Department of Clinical Pharmacological and Biological Science, University of Hertfordshire
| | - Daniel L King
- College of Education, Psychology, & Social Work, Flinders University, Adelaide, Australia
| | - Dan J Stein
- SAMRC Unit on Risk & Resilience in Mental Disorders, Dept of Psychiatry & Neuroscience Institute, University of Cape Town
| | - Jon E Grant
- Department of Psychiatry & Behavioral Neuroscience, University of Chicago
| | - Stefano Pallanti
- Albert Einstein College of Medicine and Montefiore Medical Center, New York, USA; INS Istituto di Neuroscienze, Florence, Italy
| | | | - Michael Van Ameringen
- Deptartment of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Canada
| | - Konstantinos Ioannidis
- Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK; Department of International Health, Care and Public Health Research Institute, Maastricht University, Maastricht, the Netherlands
| | - Lior Carmi
- Post-Trauma Center, Sheba Medical Center, Tel Aviv University, Israel; Reichman University, The Data Science Institution, Herzliya, Israel
| | - Anna E Goudriaan
- Amsterdam UMC, Department of Psychiatry, University of Amsterdam, Amsterdam, the Netherlands; Amsterdam Institute for Addiction Research & Arkin, the Netherlands
| | - Giovanni Martinotti
- Department of Neuroscience, Imaging and Clinical Sciences, G. D'Annunzio University, Chieti, Italy
| | - Célia M D Sales
- Faculty of Psychology and Education Sciences, University of Porto, Porto, Portugal; Center for Psychology at University of Porto (CPUP), University of Porto, Porto, Portugal
| | - Julia Jones
- School of Health and Social Work, University of Hertfordshire, Hatfield, UK
| | | | - Orsolya Király
- Institute of Psychology, ELTE Eötvös Loránd University, Budapest, Hungary
| | - Beatrice Benatti
- Luigi Sacco University Hospital, Psychiatry 2 Unit, University of Milan, Milan, Italy; "Aldo Ravelli" Center for Nanotechnology and Neurostimulation, University of Milan, Milan, Italy
| | - Matteo Vismara
- Luigi Sacco University Hospital, Psychiatry 2 Unit, University of Milan, Milan, Italy; "Aldo Ravelli" Center for Nanotechnology and Neurostimulation, University of Milan, Milan, Italy
| | - Luca Pellegrini
- Hertfordshire Partnership University NHS Foundation Trust, Hertfordshire, UK; School of Life and Medical Sciences, University of Hertfordshire, Hatfield, UK
| | - Dario Conti
- Hertfordshire Partnership University NHS Foundation Trust, Hertfordshire, UK; Luigi Sacco University Hospital, Psychiatry 2 Unit, University of Milan, Milan, Italy
| | - Ilaria Cataldo
- Department of Psychology and Cognitive Science, University of Trento, Trento, Italy
| | - Gianluigi M Riva
- School of Information and Communication Studies, University College Dublin
| | - Murat Yücel
- Brain Park, Turner Institute for Brain and Mental Health, School of Psychological Sciences, and Monash Biomedical Imaging Facility, Monash University, Melbourne, Victoria, Australia
| | - Maèva Flayelle
- Institute of Psychology, University of Lausanne, Lausanne, Switzerland
| | | | | | - Joseph Zohar
- Post-Trauma Center, Sheba Medical Center, Tel Aviv University, Israel
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Nakamura Y, Koike S. Association of Disinhibited Eating and Trait of Impulsivity With Insula and Amygdala Responses to Palatable Liquid Consumption. Front Syst Neurosci 2021; 15:647143. [PMID: 34012386 PMCID: PMC8128107 DOI: 10.3389/fnsys.2021.647143] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2020] [Accepted: 04/09/2021] [Indexed: 12/31/2022] Open
Abstract
Eating behavior is not only influenced by the current energy balance, but also by the behavioral characteristics of eating. One of the recognized eating behavior constructs is ‘disinhibited eating,’ which refers to the tendency to overeat in response to negative emotional states or the presence of highly palatable foods. Food-related disinhibition is involved in binge eating, weight gain, and obesity and is also associated with the trait of impulsivity, which in turn, is linked to weight gain or maladaptive eating. However, the relationships among food-related disinhibition, the trait of impulsivity, and the neural substrates of eating behaviors in adolescence remain unclear. Therefore, we designed a functional magnetic resonance imaging (fMRI) study to examine the associations between brain responses to palatable liquid consumption and disinhibited eating behavior or impulsivity in healthy adolescents. Thirty-four adolescents (mean age ± standard deviation = 17.12 ± 1.91 years, age range = 14–19 years, boys = 15, girls = 19) participated in this study. Disinhibited eating was assessed with the disinhibition subscale of the Three-Factor Eating Questionnaire, while impulsivity was assessed using the Barratt impulsiveness scale. Participants received two fMRI sessions−a palatable liquid consumption fMRI and a resting-state fMRI. The fMRI experiment showed that increased disinhibited eating was positively associated with a greater insular response to palatable liquid consumption, while increased impulsivity was positively correlated with a greater amygdala response. The resting-state fMRI experiment showed that increased disinhibited eating was positively correlated with strengthened intrinsic functional connectivity between the insula and the amygdala, adjusting for sex (estimates of the beta coefficients = 0.146, standard error = 0.068, p = 0.040). Given that the amygdala and insular cortex are structurally and functionally connected and involved in trait impulsivity and ingestive behavior, our findings suggest that increased disinhibited eating would be associated with impulsivity via strengthened intrinsic functional connectivity between the insula and amygdala and linked to maladaptive eating.
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Affiliation(s)
- Yuko Nakamura
- UTokyo Center for Integrative Science of Human Behavior, The University of Tokyo, Tokyo, Japan
| | - Shinsuke Koike
- UTokyo Center for Integrative Science of Human Behavior, The University of Tokyo, Tokyo, Japan.,International Research Center for Neurointelligence, The University of Tokyo Institutes for Advanced Study, Tokyo, Japan.,UTokyo Institute for Diversity and Adaptation of Human Mind, The University of Tokyo, Tokyo, Japan.,Center for Evolutionary Cognitive Sciences, Graduate School of Arts and Sciences, The University of Tokyo, Tokyo, Japan
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