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Zuo L, Ai K, Liu W, Qiu B, Tang R, Fu J, Yang P, Kong Z, Song H, Zhu X, Zhang X. Navigating Exploitative Traps: Unveiling the Uncontrollable Reward Seeking of Individuals With Internet Gaming Disorder. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2025; 10:26-36. [PMID: 38839035 DOI: 10.1016/j.bpsc.2024.05.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/16/2024] [Revised: 04/17/2024] [Accepted: 05/19/2024] [Indexed: 06/07/2024]
Abstract
BACKGROUND Internet gaming disorder (IGD) involves an imbalance in the brain's dual system, characterized by heightened reward seeking and diminished cognitive control, which lead to decision-making challenges. The exploration-exploitation strategy is key to decision making, but how IGD affects this process is unclear. METHODS To investigate the impact of IGD on decision making, a modified version of the 2-armed bandit task was employed. Participants included 41 individuals with IGD and 44 healthy control individuals. The study assessed the strategies used by participants in the task, particularly focusing on the exploitation-exploration strategy. Additionally, functional magnetic resonance imaging was used to examine brain activation patterns during decision-making and estimation phases. RESULTS The study found that individuals with IGD demonstrated greater reliance on exploitative strategies in decision making due to their elevated value-seeking tendencies and decreased cognitive control. Individuals with IGD also displayed heightened activation in the presupplementary motor area and the ventral striatum compared with the healthy control group in both decision-making and estimation phases. Meanwhile, the prefrontal cortex showed more inhibition in individuals with IGD than in the healthy control group during exploitative strategies. This inhibition decreased as cognitive control diminished. CONCLUSIONS The imbalance in the development of the dual system in individuals with IGD may lead to an overreliance on exploitative strategies. This imbalance, marked by increased reward seeking and reduced cognitive control, contributes to difficulties in decision making and value-related behavioral processes in individuals with IGD.
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Affiliation(s)
- Lin Zuo
- Hefei National Research Center for Physical Sciences at the Microscale, and Department of Hematology, the First Affiliated Hospital of USTC, Division of Life Science and Medicine, University of Science and Technology of China, Anhui, China
| | - Kedan Ai
- Hefei National Research Center for Physical Sciences at the Microscale, and Department of Hematology, the First Affiliated Hospital of USTC, Division of Life Science and Medicine, University of Science and Technology of China, Anhui, China
| | - Weili Liu
- Hefei National Research Center for Physical Sciences at the Microscale, and Department of Hematology, the First Affiliated Hospital of USTC, Division of Life Science and Medicine, University of Science and Technology of China, Anhui, China
| | - Bensheng Qiu
- Centers for Biomedical Engineering, USTC, Anhui, China
| | - Rui Tang
- Hefei National Research Center for Physical Sciences at the Microscale, and Department of Hematology, the First Affiliated Hospital of USTC, Division of Life Science and Medicine, University of Science and Technology of China, Anhui, China
| | - Jiaxin Fu
- Hefei National Research Center for Physical Sciences at the Microscale, and Department of Hematology, the First Affiliated Hospital of USTC, Division of Life Science and Medicine, University of Science and Technology of China, Anhui, China
| | - Ping Yang
- Department of Psychology, School of Humanities & Social Science, USTC, Anhui, China
| | - Zhuo Kong
- Hefei National Research Center for Physical Sciences at the Microscale, and Department of Hematology, the First Affiliated Hospital of USTC, Division of Life Science and Medicine, University of Science and Technology of China, Anhui, China
| | - Hongwen Song
- Hefei National Research Center for Physical Sciences at the Microscale, and Department of Hematology, the First Affiliated Hospital of USTC, Division of Life Science and Medicine, University of Science and Technology of China, Anhui, China; Key Laboratory of Philosophy and Social Science of Anhui Province on Adolescent Mental Health and Crisis Intelligence Intervention, Anhui, China.
| | - Xiaoyu Zhu
- Department of Hematology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, USTC, Anhui, China.
| | - Xiaochu Zhang
- Hefei National Research Center for Physical Sciences at the Microscale, and Department of Hematology, the First Affiliated Hospital of USTC, Division of Life Science and Medicine, University of Science and Technology of China, Anhui, China; Department of Psychology, School of Humanities & Social Science, USTC, Anhui, China; Business School, Guizhou Education University, Guiyang, China; Institute of Health and Medicine, Hefei Comprehensive Science Center, Anhui, China.
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Ma L, Keen LD, Steinberg JL, Eddie D, Tan A, Keyser-Marcus L, Abbate A, Moeller FG. Relationship between central autonomic effective connectivity and heart rate variability: A Resting-state fMRI dynamic causal modeling study. Neuroimage 2024; 300:120869. [PMID: 39332747 DOI: 10.1016/j.neuroimage.2024.120869] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2024] [Revised: 09/22/2024] [Accepted: 09/24/2024] [Indexed: 09/29/2024] Open
Abstract
The central autonomic network (CAN) serves as a regulatory hub with top-down regulatory control and integration of bottom-up physiological feedback via the autonomic nervous system. Heart rate variability (HRV)-the time variance of the heart's beat-to-beat intervals-is an index of the CAN's affective and behavioral regulatory capacity. Although neural functional connectivities that are associated with HRV and CAN have been well studied, no published report to date has studied effective (directional) connectivities (EC) that are associated with HRV and CAN. Better understanding of neural EC in the brain has the potential to improve our understanding of how the CAN sub-regions regulate HRV. To begin to address this knowledge gap, we employed resting-state functional magnetic resonance imaging and dynamic causal modeling (DCM) with parametric empirical Bayes analyses in 34 healthy adults (19 females; mean age= 32.68 years [SD= 14.09], age range 18-68 years) to examine the bottom-up and top-down neural circuits associated with HRV. Throughout the whole brain, we identified 12 regions associated with HRV. DCM analyses revealed that the ECs from the right amygdala to the anterior cingulate cortex and to the ventrolateral prefrontal cortex had a negative linear relationship with HRV and a positive linear relationship with heart rate. These findings suggest that ECs from the amygdala to the prefrontal cortex may represent a neural circuit associated with regulation of cardiodynamics.
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Affiliation(s)
- Liangsuo Ma
- Institute for Drug and Alcohol Studies, Department of Psychiatry, Virginia Commonwealth University, 203 East Cary Street, Suite 202, Richmond 23219, VA, United States; Department of Psychiatry, Virginia Commonwealth University, VA, United States.
| | - Larry D Keen
- Department of Psychology, Virginia State University, VA, United States
| | - Joel L Steinberg
- Institute for Drug and Alcohol Studies, Department of Psychiatry, Virginia Commonwealth University, 203 East Cary Street, Suite 202, Richmond 23219, VA, United States; Department of Psychiatry, Virginia Commonwealth University, VA, United States; C. Kenneth and Dianne Wright Center for Clinical and Translational Research, Virginia Commonwealth University, VA, United States
| | - David Eddie
- Recovery Research Institute, Center for Addiction Medicine, Massachusetts General Hospital, MA, United States; Department of Psychiatry, Harvard Medical School, MA, United States
| | - Alex Tan
- Berne Cardiovascular Research Center, University of Virginia, Charlottesville, VA, United States
| | - Lori Keyser-Marcus
- Department of Psychiatry, Virginia Commonwealth University, VA, United States
| | - Antonio Abbate
- Department of Psychiatry, Harvard Medical School, MA, United States
| | - F Gerard Moeller
- Institute for Drug and Alcohol Studies, Department of Psychiatry, Virginia Commonwealth University, 203 East Cary Street, Suite 202, Richmond 23219, VA, United States; Department of Psychiatry, Virginia Commonwealth University, VA, United States; Department of Pharmacology and Toxicology, Virginia Commonwealth University, VA, United States; Department of Neurology, Virginia Commonwealth University, VA, United States; C. Kenneth and Dianne Wright Center for Clinical and Translational Research, Virginia Commonwealth University, VA, United States
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Zhao T, Zhang Y, Li Y, Wu J, Wang R, Lv Q, Li D, Lang Y. Resting-state brain networks alterations in adolescents with Internet Gaming Disorder associate with cognitive control impairments. Front Psychiatry 2024; 15:1404050. [PMID: 39315326 PMCID: PMC11416985 DOI: 10.3389/fpsyt.2024.1404050] [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: 03/20/2024] [Accepted: 08/12/2024] [Indexed: 09/25/2024] Open
Abstract
Objective Research indicates that cognitive control is compromised in individuals with internet gaming disorder (IGD). However, the neural mechanisms behind it are still unclear. This study aims to investigate alterations in resting-state brain networks in adolescents with IGD and the potential neurobiological mechanisms underlying cognitive dysfunction. Materials and methods A total of 44 adolescent IGD subjects (male/female: 38/6) and 50 healthy controls (male/female: 40/10) were enrolled. Participants underwent demographic assessments, Young's Internet Addiction Scale, Barratt Impulsiveness Scale 11 Chinese Revised Version, the Chinese Adolescents' Maladaptive Cognitions Scale, exploratory eye movement tests, and functional magnetic resonance imaging (fMRI). FMRI data were analyzed using the GIFT software for independent component analysis, focusing on functional connectivity within and between resting-state brain networks. Results In comparison to the control group, impulsivity in adolescent IGD subjects showed a positive correlation with the severity of IGD (r=0.6350, p < 0.001), linked to impairments in the Executive Control Network (ECN) and a decrease in functional connectivity between the Salience Network (SN) and ECN (r=0.4307, p=0.0021; r=-0.5147, p=0.0034). Decreased resting state activity of the dorsal attention network (DAN) was associated with attentional dysregulation of IGD in adolescents (r=0.4071, p=0.0017), and ECN increased functional connectivity with DAN. The degree of IGD was positively correlated with enhanced functional connectivity between the ECN and DAN (r=0.4283, p=0.0037). Conclusions This research demonstrates that changes in the ECN and DAN correlate with heightened impulsivity and attentional deficits in adolescents with IGD. The interaction between cognitive control disorders and resting-state brain networks in adolescent IGD is related.
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Affiliation(s)
| | | | | | | | | | | | | | - Yan Lang
- Department of Psychiatry, First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
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Chi HM, Hsiao TC. Physiological Regularity and Synchrony in Individuals with Gaming Disorder. ENTROPY (BASEL, SWITZERLAND) 2024; 26:769. [PMID: 39330102 PMCID: PMC11431265 DOI: 10.3390/e26090769] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/17/2024] [Revised: 09/05/2024] [Accepted: 09/07/2024] [Indexed: 09/28/2024]
Abstract
Individuals with gaming disorder (GD) show emotional dysregulation and autonomic dysfunction in daily life. Although studies have shown that the relaxation method of breathing exercise (BE) improves cardiopulmonary synchrony, the physiological regularity and synchrony of GD remain unclear. In this study, we investigated the regularities of pulse wave (PW), thoracic wall movement (TWM), and abdominal wall movement (AWM) using sample entropy (SE) and assessed the vascular-respiratory and TWM-AWM synchrony using cross-sample entropy (CSE). Twenty individuals with GD and 26 healthy control (HC) individuals participated in baseline, gaming, and recovery stages, both before and after BEs. The results showed that both groups had significantly higher SETWM, SEAWM, and CSETWM-AWM during gaming than baseline. Before BE, CSEPW-TWM and CSEPW-AWM during gaming were considerably higher in the GD group than in the HC group. Compared to before BE, both groups had decreased SETWM and CSETWM-AWM during gaming, particularly in the HC group. Online gaming may induce pulse wave and respiratory irregularities, as well as thoracic-abdominal wall movement asynchrony. Individuals with GD who engage in prolonged gaming periods may exhibit lower vascular-respiratory synchrony compared to the HC group. SETWM, SEAWM, CSETWM-AWM, CSEPW-TWM, and CSEPW-AWM may serve as biomarkers for assessing the risk of GD. BE may improve TWM regularity and vascular-respiratory synchrony during gaming, potentially alleviating addictive behavior.
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Affiliation(s)
- Hung-Ming Chi
- Department of Medical Informatics, College of Health Care and Management, Chung Shan Medical University, Taichung 40201, Taiwan
| | - Tzu-Chien Hsiao
- Department of Computer Science, College of Computer Science, National Yang Ming Chiao Tung University, Hsinchu 30010, Taiwan;
- Institute of Biomedical Engineering, College of Electrical and Computer Engineering, National Yang Ming Chiao Tung University, Hsinchu 30010, Taiwan
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Wu H, Meng G, Wang L, Xiao J, Hu K, Li Q. Understanding the relationships among adolescents' internet dependence, reward, cognitive control processing, and learning burnout: a network perspective in China. BMC Psychiatry 2024; 24:599. [PMID: 39238001 PMCID: PMC11376062 DOI: 10.1186/s12888-024-06025-2] [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: 03/24/2024] [Accepted: 08/16/2024] [Indexed: 09/07/2024] Open
Abstract
Alterations in the reward and cognitive control systems are commonly observed among adolescents with internet dependence (ID), and this impairment is often accompanied by social dysfunctions, such as academic burnout. However, the intercorrelations among ID, reward, cognitive control processing, and learning burnout remain unclear. We recruited 1074 Chinese adolescents to investigate the complex interrelationships among these variables using network analysis. The resulting network revealed patterns that connected ID to the behavioral inhibition/activation system (BIS/BAS), self-control, and learning burnout; these results exhibited reasonable stability and test-retest consistency. Throughout the network, the node of BAS-drive was the critical influencing factor, and the node of self-control was the protection factor. In addition, several symptoms of learning burnout and ID were positively associated with sensitivity to punishment. As revealed by the network comparison test, the network constructed among internet dependent (ID) group differed from the network constructed among internet nondependent (IND) group not only in the edges between BIS and learning burnout but also in terms of the edges associated with learning burnout. In conclusion, this study provides insights into the complex mechanisms underlying ID among adolescents from the perspective of the network relationships between core influencing factors and negative consequences. It validates the dual-system model of risky behavior among adolescents and offers a foundation for early warning and interventions for ID in this context.
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Affiliation(s)
- Haotian Wu
- Beijing Key Laboratory of Learning and Cognition, School of Psychology, Capital Normal University, Beijing, 100048, China
| | - Guangteng Meng
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, 100101, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Lingxiao Wang
- 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
| | - Jing Xiao
- Beijing Key Laboratory of Learning and Cognition, School of Psychology, Capital Normal University, Beijing, 100048, China.
| | - Kesong Hu
- Department of Psychology, University of Arkansas, Little Rock, AR, USA.
| | - Qi Li
- Beijing Key Laboratory of Learning and Cognition, School of Psychology, Capital Normal University, Beijing, 100048, China.
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Skok K, Waszkiewicz N. Biomarkers of Internet Gaming Disorder-A Narrative Review. J Clin Med 2024; 13:5110. [PMID: 39274323 PMCID: PMC11396063 DOI: 10.3390/jcm13175110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2024] [Revised: 08/14/2024] [Accepted: 08/22/2024] [Indexed: 09/16/2024] Open
Abstract
Since game mechanics and their visual aspects have become more and more addictive, there is concern about the growing prevalence of Internet gaming disorder (IGD). In the current narrative review, we searched PubMed and Google Scholar databases for the keywords "igd biomarker gaming" and terms related to biomarker modalities. The biomarkers we found are grouped into several categories based on a measurement method and are discussed in the light of theoretical addiction models (tripartite neurocognitive model, I-PACE). Both theories point to gaming-related problems with salience and inhibition. The first dysfunction makes an individual more susceptible to game stimuli (raised reward seeking), and the second negatively impacts resistance to these stimuli (decreased cognitive control). The IGD patients' hypersensitivity to reward manifests mostly in ventral striatum (VS) measurements. However, there is also empirical support for a ventral-to-dorsal striatal shift and transition from goal-directed to habitual behaviors. The deficits in executive control are demonstrated in parameters related to the prefrontal cortex (PFC), especially the dorsolateral prefrontal cortex (DLPFC). In general, the connection of PFC with reward under cortex nuclei seems to be dysregulated. Other biomarkers include reduced P3 amplitudes, high-frequency heart rate variability (HRV), and the number of eye blinks and saccadic eye movements during the non-resting state. A few studies propose a diagnostic (multimodal) model of IGD. The current review also comments on inconsistencies in findings in the nucleus accumbens (NAcc), anterior cingulate cortex (ACC), and precuneus and makes suggestions for future IGD studies.
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Affiliation(s)
- Katarzyna Skok
- Faculty of Education, University of Bialystok, ul. Świerkowa 20, 15-328 Bialystok, Poland
| | - Napoleon Waszkiewicz
- Department of Psychiatry, Medical University of Bialystok, pl. Wołodyjowskiego 2, 15-272 Bialystok, Poland
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Deng X, Hu YB, Liu CY, Li Q, Yang N, Zhang QY, Liu L, Qiu JN, Xu HB, Xue L, Shi YW, Wang XG, Zhao H. Psychological distress and aggression among adolescents with internet gaming disorder symptoms. Psychiatry Res 2024; 331:115624. [PMID: 38039647 DOI: 10.1016/j.psychres.2023.115624] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Revised: 11/18/2023] [Accepted: 11/23/2023] [Indexed: 12/03/2023]
Abstract
The present study aimed to investigate the current situation of internet gaming disorder (IGD) in Chinese adolescents and explore the impact of IGD-related factors on adolescent aggression. We hypothesized that IGD symptoms in adolescents would be associated with aggressive behavior and that risk factors for IGD symptoms could increase the aggressive tendencies of adolescents. To verify the above hypothesis, a cross-sectional survey of junior and senior high school students from southern, southwestern, central, and eastern China was conducted. A total of 9306 valid questionnaires were collected. The results showed that the prevalence of IGD symptoms was 1.78 % among Chinese adolescents. The adolescents in the disordered gamer group had the most severe IGD symptoms, with the highest levels of psychological distress and aggression. Interestingly, adolescents in the casual gamer group had the lowest psychological distress and aggression scores. Linear regression analysis further showed that higher levels of aggression were significantly associated with male sex, younger age, more severe psychological distress and IGD symptoms, and more violent game exposure. Our results suggested that excessive online gaming not only contributes to psychological distress in adolescents but also increases their levels of aggressive behavior. Apart from male sex and younger age, severe IGD symptoms and psychological distress are the most important predictors of the development of aggressive behavior.
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Affiliation(s)
- Xi Deng
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Translational Forensic Medicine Engineering Technology Research Center, Sun Yat-sen University, Guangzhou 510080, China
| | - Yu-Bo Hu
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Translational Forensic Medicine Engineering Technology Research Center, Sun Yat-sen University, Guangzhou 510080, China
| | - Chun-Yan Liu
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Translational Forensic Medicine Engineering Technology Research Center, Sun Yat-sen University, Guangzhou 510080, China
| | - Qi Li
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Translational Forensic Medicine Engineering Technology Research Center, Sun Yat-sen University, Guangzhou 510080, China
| | - Ning Yang
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Translational Forensic Medicine Engineering Technology Research Center, Sun Yat-sen University, Guangzhou 510080, China
| | - Qi-Yu Zhang
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Translational Forensic Medicine Engineering Technology Research Center, Sun Yat-sen University, Guangzhou 510080, China
| | - Lu Liu
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Translational Forensic Medicine Engineering Technology Research Center, Sun Yat-sen University, Guangzhou 510080, China
| | - Jian-Ni Qiu
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Translational Forensic Medicine Engineering Technology Research Center, Sun Yat-sen University, Guangzhou 510080, China
| | - Hong-Bin Xu
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Translational Forensic Medicine Engineering Technology Research Center, Sun Yat-sen University, Guangzhou 510080, China
| | - Li Xue
- Department of Psychology, School of Public Medicine, Southern Medical University, Guangzhou 510515, China
| | - Yan-Wei Shi
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Translational Forensic Medicine Engineering Technology Research Center, Sun Yat-sen University, Guangzhou 510080, China; Guangdong Province Key Laboratory of Brain Function and Disease, Guangzhou 510080, China
| | - Xiao-Guang Wang
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Translational Forensic Medicine Engineering Technology Research Center, Sun Yat-sen University, Guangzhou 510080, China; Guangdong Province Key Laboratory of Brain Function and Disease, Guangzhou 510080, China
| | - Hu Zhao
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Translational Forensic Medicine Engineering Technology Research Center, Sun Yat-sen University, Guangzhou 510080, China; Guangdong Province Key Laboratory of Brain Function and Disease, Guangzhou 510080, China.
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Long K, Zhang X, Wang N, Lei H. Heart Rate Variability during Online Video Game Playing in Habitual Gamers: Effects of Internet Addiction Scale, Ranking Score and Gaming Performance. Brain Sci 2023; 14:29. [PMID: 38248244 PMCID: PMC10813724 DOI: 10.3390/brainsci14010029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Revised: 12/14/2023] [Accepted: 12/23/2023] [Indexed: 01/23/2024] Open
Abstract
Previous studies have demonstrated that individuals with internet gaming disorder (IGD) display abnormal autonomic activities at rest and during gameplay. Here, we examined whether and how in-game autonomic activity is modulated by human characteristics and behavioral performance of the player. We measured heart rate variability (HRV) in 42 male university student habitual gamers (HGs) when they played a round of League of Legends game online. Short-term HRV indices measured in early, middle and late phases of the game were compared between the players at high risk of developing IGD and those at low risk, as assessed by the revised Chen Internet addiction scale (CIAS-R). Multiple linear regression (MLR) was used to identify significant predictors of HRV measured over the whole gameplay period (WG), among CIAS-R, ranking score, hours of weekly playing and selected in-game performance parameters. The high-risk players showed a significantly higher low-frequency power/high-frequency power ratio (LF/HF) relative to the low-risk players, regardless of game phase. MLR analysis revealed that LF/HF measured in WG was predicted by, and only by, CIAS-R. The HRV indicators of sympathetic activity were found to be predicted only by the number of slain in WG (NSlain), and the indicators of parasympathetic activity were predicted by both CIAS-R and NSlain. Collectively, the results demonstrated that risk of developing IGD is associated with dysregulated autonomic balance during gameplay, and in-game autonomic activities are modulated by complex interactions among personal attributes and in-game behavioral performance of the player, as well as situational factors embedded in game mechanics.
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Affiliation(s)
- Kehong Long
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan 430071, China; (K.L.); (X.Z.); (N.W.)
- University of Chinese Academy of Sciences, Beijing 100190, China
| | - Xuzhe Zhang
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan 430071, China; (K.L.); (X.Z.); (N.W.)
- University of Chinese Academy of Sciences, Beijing 100190, China
| | - Ningxin Wang
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan 430071, China; (K.L.); (X.Z.); (N.W.)
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Hao Lei
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan 430071, China; (K.L.); (X.Z.); (N.W.)
- University of Chinese Academy of Sciences, Beijing 100190, China
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430074, China
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Welsh MR, Mosley E, Laborde S, Day MC, Sharpe BT, Burkill RA, Birch PDJ. The use of heart rate variability in esports: A systematic review. PSYCHOLOGY OF SPORT AND EXERCISE 2023; 69:102495. [PMID: 37665930 DOI: 10.1016/j.psychsport.2023.102495] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 07/14/2023] [Accepted: 07/17/2023] [Indexed: 09/06/2023]
Abstract
Heart rate variability (HRV) is a psychophysiological measure of particular interest in esports due to its potential to monitor player self-regulation. This study aimed to systematically review the utilisation of HRV in esports. Consideration was given to the methodological and theoretical underpinnings of previous works to provide recommendations for future research. The protocol was made available on the Open Science Framework. Inclusion criteria were empirical studies, examining HRV in esports, using esports players, published in English. Exclusion criteria were non-peer-reviewed studies, populations with pre-existing clinical illness other than Internet Gaming Disorder (IGD), opinion pieces or review papers. In November 2022 a search of Web of Science, PubMed, and EBSCOHost identified seven studies using HRV in esports. Risk of bias was assessed using the Mixed Methods Appraisal Tool. Narrative review identified two primary uses of HRV in esports; stress response and IGD. A lack of theoretical and methodological underpinning was identified as a major limitation of current literature. Further investigation is necessary before making recommendations regarding the use of HRV in esports. Future research should employ sound theoretical underpinning such as the use of vagally mediated HRV and the robust application of supporting methodological guidelines when investigating HRV in esports.
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Affiliation(s)
- Matthew R Welsh
- Institute of Applied Sciences, University of Chichester, Chichester, UK.
| | - Emma Mosley
- Department of Rehabilitation and Sport Sciences, Bournemouth University, Bournemouth, UK
| | - Sylvain Laborde
- Department of Performance Psychology, Institute of Psychology, German Sport University Cologne, Koln, Germany; UFR STAPS, Normandie Université Caen, Caen, France
| | - Melissa C Day
- Institute of Applied Sciences, University of Chichester, Chichester, UK
| | - Benjamin T Sharpe
- Institute of Psychology, Business, and Human Sciences, University of Chichester, Chichester, UK
| | | | - Phil D J Birch
- Institute of Applied Sciences, University of Chichester, Chichester, UK
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10
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Weinstein A. Problematic Internet usage: brain imaging findings. Curr Opin Behav Sci 2022. [DOI: 10.1016/j.cobeha.2022.101209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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