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Yan WS, Liu MM, Liu SJ. A Behavioral and Event-Related Potentials Study of Food-Related Inhibitory Control in Probable Binge Eating Disorder. Psychol Res Behav Manag 2023; 16:4737-4748. [PMID: 38024662 PMCID: PMC10676687 DOI: 10.2147/prbm.s441949] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Accepted: 11/15/2023] [Indexed: 12/01/2023] Open
Abstract
Background Similar to addictive disorders, deficits on cognitive control might be involved in the onset and development of Binge Eating Disorder (BED). However, it remains unclear whether general or food-related inhibitory control impairments would be basically linked to overeating and binge eating behaviors. This study thus aimed to investigate behavioral performance and electrophysiological correlates of food-related inhibitory control among individuals with binge eating behavior. Methods Sixty individuals with probable BED (pBED) and 60 well-matched healthy controls (HCs) were assessed using the typical Stop-Signal Task, a revised Go/No Go Task, and a food-related Go/No Go Task. Besides, another separate sample, including 35 individuals with pBED and 35 HCs, completed the food-related Go/No Go Task when EEG signals were recorded with the event-related potentials (ERPs). Results The data revealed that the pBED group performed worse with a longer SSRT on the Stop-Signal Task compared with HCs (Cohen's d = 0.58, p = 0.002). Moreover, on the food-related Go/No Go Task, the pBED group had a lower success rate of inhibition in no-go trials (Cohen's d = 0.47, p = 0.012). The ERPs data showed that in comparison with HCs, the pBED group exhibited increased P300 latency (FC1, FC2, F3, F4, FZ) in the no-go trials of the food-related Go/No Go Task (Cohen's d 0.56-0.73, all p < 0.05). Conclusion These findings suggested that individuals with binge eating could be impaired in both non-specific and food-related inhibitory control aspects, and the impairments in food-related inhibitory control might be linked to P300 abnormalities, implying a behavioral-neurobiological dysfunction mechanism implicated in BED.
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Affiliation(s)
- Wan-Sen Yan
- Department of Psychology, School of Medical Humanitarians, Guizhou Medical University, Guiyang, People’s Republic of China
- Guizhou Research Institute for Health Development, Guizhou Medical University, Guiyang, People’s Republic of China
| | - Meng-Meng Liu
- Department of Psychology, School of Medical Humanitarians, Guizhou Medical University, Guiyang, People’s Republic of China
| | - Su-Jiao Liu
- Department of Psychology, School of Medical Humanitarians, Guizhou Medical University, Guiyang, People’s Republic of China
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Rane RP, Musial MPM, Beck A, Rapp M, Schlagenhauf F, Banaschewski T, Bokde ALW, Paillère Martinot ML, Artiges E, Nees F, Lemaitre H, Hohmann S, Schumann G, Walter H, Heinz A, Ritter K. Uncontrolled eating and sensation-seeking partially explain the prediction of future binge drinking from adolescent brain structure. Neuroimage Clin 2023; 40:103520. [PMID: 37837892 PMCID: PMC10585345 DOI: 10.1016/j.nicl.2023.103520] [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: 04/25/2023] [Revised: 09/22/2023] [Accepted: 09/27/2023] [Indexed: 10/16/2023]
Abstract
Binge drinking behavior in early adulthood can be predicted from brain structure during early adolescence with an accuracy of above 70%. We investigated whether this accurate prospective prediction of alcohol misuse behavior can be explained by psychometric variables such as personality traits or mental health comorbidities in a data-driven approach. We analyzed a subset of adolescents who did not have any prior binge drinking experience at age 14 (IMAGEN dataset, n = 555, 52.61% female). Participants underwent structural magnetic resonance imaging at age 14, binge drinking assessments at ages 14 and 22, and psychometric questionnaire assessments at ages 14 and 22. We derived structural brain features from T1-weighted magnetic resonance and diffusion tensor imaging. Using Machine Learning (ML), we predicted binge drinking (age 22) from brain structure (age 14) and used counterbalancing with oversampling to systematically control for 110 + variables from a wide range of social, personality, and other psychometric characteristics potentially associated with binge drinking. We evaluated if controlling for any variable resulted in a significant reduction in ML prediction accuracy. Sensation-seeking (-13.98 ± 1.68%), assessed via the Substance Use Risk Profile Scale at age 14, and uncontrolled eating (-13.98 ± 3.28%), assessed via the Three-Factor-Eating-Questionnaire at age 22, led to significant reductions in mean balanced prediction accuracy upon controlling for them. Thus, sensation-seeking and binge eating could partially explain the prediction of future binge drinking from adolescent brain structure. Our findings suggest that binge drinking and binge eating at age 22 share common neurobiological precursors discovered by the ML model. These neurobiological precursors seem to be associated with sensation-seeking at age 14. Our results facilitate early detection of increased risk for binge drinking and inform future clinical research in trans-diagnostic prevention approaches for adolescent alcohol misuse.
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Affiliation(s)
- Roshan Prakash Rane
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Einstein Center for Neurosciences Berlin, Charitéplatz 1, 10117 Berlin, Germany; Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Psychiatry and Neurosciences | CCM, Charitéplatz 1, 10117 Berlin, Germany; Humboldt-Universität zu Berlin, Faculty of Life Sciences, Department of Psychology, Unter den Linden 6, 10099 Berlin, Germany.
| | - Milena Philomena Maria Musial
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Einstein Center for Neurosciences Berlin, Charitéplatz 1, 10117 Berlin, Germany; Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Psychiatry and Neurosciences | CCM, Charitéplatz 1, 10117 Berlin, Germany; Humboldt-Universität zu Berlin, Faculty of Life Sciences, Department of Psychology, Unter den Linden 6, 10099 Berlin, Germany; Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Bernstein Center for Computational Neuroscience, Charitéplatz 1, 10117 Berlin, Germany.
| | - Anne Beck
- Health and Medical University, Campus Potsdam, Faculty of Health, Olympischer Weg 1, 14471 Potsdam, Germany
| | - Michael Rapp
- Social and Preventive Medicine, Department of Sports and Health Sciences, University of Potsdam, Potsdam, Germany
| | - Florian Schlagenhauf
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Einstein Center for Neurosciences Berlin, Charitéplatz 1, 10117 Berlin, Germany; Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Psychiatry and Neurosciences | CCM, Charitéplatz 1, 10117 Berlin, Germany; Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Bernstein Center for Computational Neuroscience, Charitéplatz 1, 10117 Berlin, Germany
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159 Mannheim, Germany
| | - Arun L W Bokde
- Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - Marie-Laure Paillère Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM U 1299 "Trajectoires développementales & psychiatrie", University Paris-Saclay, CNRS; Ecole Normale Supérieure Paris-Saclay, Centre Borelli; Gif-sur-Yvette; and AP-HP. Sorbonne University, Department of Child and Adolescent Psychiatry, Pitié-Salpêtrière Hospital, Paris, France
| | - Eric Artiges
- Institut National de la Santé et de la Recherche Médicale, INSERM U 1299 "Trajectoires développementales & psychiatrie", University Paris-Saclay, CNRS; Ecole Normale Supérieure Paris-Saclay, Centre Borelli; Gif-sur-Yvette; and Psychiatry Department, EPS Barthélémy Durand, Etampes, France
| | - Frauke Nees
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159 Mannheim, Germany; Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, Mannheim, Germany; Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig Holstein, Kiel University, Kiel, Germany
| | - Herve Lemaitre
- NeuroSpin, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France; Institut des Maladies Neurodégénératives, UMR 5293, CNRS, CEA, Université de Bordeaux, 33076 Bordeaux, France
| | - Sarah Hohmann
- Department of Child and Adolescent Psychiatry, Psychotherapy and Psychosomatics, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Gunter Schumann
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Psychiatry and Neuroscience, Centre for Population Neuroscience and Stratified Medicine (PONS), Charitéplatz 1, 10117 Berlin, Germany; Centre for Population Neuroscience and Precision Medicine (PONS), Institute for Science and Technology of Brain-inspired Intelligence (ISTBI), Fudan University, Shanghai, China
| | - Henrik Walter
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Einstein Center for Neurosciences Berlin, Charitéplatz 1, 10117 Berlin, Germany; Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Psychiatry and Neurosciences | CCM, Charitéplatz 1, 10117 Berlin, Germany; Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Bernstein Center for Computational Neuroscience, Charitéplatz 1, 10117 Berlin, Germany
| | - Andreas Heinz
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Einstein Center for Neurosciences Berlin, Charitéplatz 1, 10117 Berlin, Germany; Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Psychiatry and Neurosciences | CCM, Charitéplatz 1, 10117 Berlin, Germany; Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Bernstein Center for Computational Neuroscience, Charitéplatz 1, 10117 Berlin, Germany
| | - Kerstin Ritter
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Einstein Center for Neurosciences Berlin, Charitéplatz 1, 10117 Berlin, Germany; Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Psychiatry and Neurosciences | CCM, Charitéplatz 1, 10117 Berlin, Germany; Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Bernstein Center for Computational Neuroscience, Charitéplatz 1, 10117 Berlin, Germany
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Marmet S, Wicki M, Dupuis M, Baggio S, Dufour M, Gatineau C, Gmel G, Studer J. Associations of binge gaming (5 or more consecutive hours played) with gaming disorder and mental health in young men. J Behav Addict 2023; 12:295-301. [PMID: 36592331 DOI: 10.1556/2006.2022.00086] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Revised: 09/22/2022] [Accepted: 11/13/2022] [Indexed: 01/03/2023] Open
Abstract
BACKGROUND Video gaming is a popular activity among young people. Time spent with gaming was found to be only moderately associated with gaming disorder. However, patterns of binge gaming (playing more than 5 h consecutively) were rarely considered in research on gaming. This study explores how binge gaming frequency is related with gaming disorder and mental health. METHODS The sample came from the Cohort study on substance use risk factors (C-SURF) and comprised 5,358 young men aged 28.26 years (SD = 1.27). ANCOVA was conducted to estimate the association between binge gaming frequency (gaming at least 5 h consecutively) and gaming disorder (measured with the Game Addiction Scale) as well as indicators of mental health. RESULTS A total of 33.3% of the sample engaged in binge gaming at least once in the previous year, and 6.1% at least weekly. Frequency of binge gaming was associated with gaming disorder score in a linear dose-response relationship (linear trend = 2.30 [2.14, 2.46]) even if adjusted for time spent gaming (linear trend = 1.24 [1.03, 1.45). More frequent binge gaming was associated with lower life satisfaction and sleep quality, and with more major depression and social anxiety disorder symptoms. CONCLUSIONS Binge gaming patterns, especially daily or almost daily binge gaming, are important to consider with regard to gaming disorder and mental health. Asking about binge gaming may be a promising screening question for gaming related problems. Encouraging regular breaks from gaming may be a valuable prevention strategy to reduce negative outcomes of gaming.
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Affiliation(s)
- Simon Marmet
- 1Addiction Medicine, Lausanne University Hospital and University of Lausanne, Rue du Bugnon 23, CH-1011 Lausanne, Switzerland.,2School of Social Work, University of Applied Sciences and Arts Northwestern Switzerland, Olten, Switzerland
| | - Matthias Wicki
- 1Addiction Medicine, Lausanne University Hospital and University of Lausanne, Rue du Bugnon 23, CH-1011 Lausanne, Switzerland.,3Institute for Research, Development and Evaluation, Bern University of Teacher Education, Bern, Switzerland
| | - Marc Dupuis
- 1Addiction Medicine, Lausanne University Hospital and University of Lausanne, Rue du Bugnon 23, CH-1011 Lausanne, Switzerland.,4Higher Education and Research in Health Care, Lausanne University Hospital and University of Lausanne, Switzerland
| | - Stéphanie Baggio
- 5Division of Prison Health, Geneva University Hospitals & University of Geneva, Geneva, Switzerland.,6Institute of Primary Health Care (BIHAM), University of Bern, Bern, Switzerland
| | - Magali Dufour
- 7Department of Psychology, Université du Québec à Montréal, Montréal, QC, Canada
| | - Catherine Gatineau
- 7Department of Psychology, Université du Québec à Montréal, Montréal, QC, Canada
| | - Gerhard Gmel
- 1Addiction Medicine, Lausanne University Hospital and University of Lausanne, Rue du Bugnon 23, CH-1011 Lausanne, Switzerland.,8Addiction Switzerland, Avenue Louis-Ruchonnet 14, CH-1001 Lausanne, Switzerland.,9Centre for Addiction and Mental Health, 1001 Queen Street West, Toronto ON M6J 1H4, Canada.,10University of the West of England, Frenchay Campus, Coldharbour Lane, Bristol BS16 1QY, United Kingdom
| | - Joseph Studer
- 1Addiction Medicine, Lausanne University Hospital and University of Lausanne, Rue du Bugnon 23, CH-1011 Lausanne, Switzerland.,11Department of Psychiatry, Service of Adult Psychiatry North-West, Lausanne University Hospital and University of Lausanne, Switzerland
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