Impaired risk evaluation in people with Internet gaming disorder: fMRI evidence from a probability discounting task

This study examined how Internet gaming disorder (IGD) subjects modulating reward and risk at a neural level under a probability-discounting task with functional magnetic resonance imaging (fMRI). Behavioral and imaging data were collected from 19 IGD subjects (22.2 ± 3.08 years) and 21 healthy controls (HC, 22.8 ± 3.5 years). Behavior results showed that IGD subjects prefer the probabilistic options to fixed ones and were associated with shorter reaction time, when comparing to HC. The fMRI results revealed that IGD subjects show decreased activation in the inferior frontal gyrus and the precentral gyrus when choosing the probabilistic options than HC. Correlations were also calculated between behavioral performances and brain activities in relevant brain regions. Both of the behavioral performance and fMRI results indicate that people with IGD show impaired risk evaluation, which might be the reason why IGD subjects continue playing online games despite the risks of widely known negative consequence.

[1]  Emily S. Orr,et al.  Executive Function in Pathological Gamblers and Healthy Controls , 2012, Journal of Gambling Studies.

[2]  LEE M. Cheung,et al.  The effects of insomnia and internet addiction on depression in Hong Kong Chinese adolescents: an exploratory cross‐sectional analysis , 2011, Journal of sleep research.

[3]  D. Black,et al.  Internet Addiction , 2008, CNS drugs.

[4]  T. Hergueta,et al.  The mini international neuropsychiatric interview , 1998, European Psychiatry.

[5]  Bin Lin,et al.  Gray matter and white matter abnormalities in online game addiction. , 2013, European journal of radiology.

[6]  Stephan F. Miedl,et al.  Altered neural reward representations in pathological gamblers revealed by delay and probability discounting. , 2012, Archives of general psychiatry.

[7]  Alex Blaszczynski,et al.  Commentary: A Response to “Problems with the Concept of Video Game “Addiction”: Some Case Study Examples” , 2008, International Journal of Mental Health and Addiction.

[8]  W. van den Brink,et al.  Psychophysiological determinants and concomitants of deficient decision making in pathological gamblers. , 2006, Drug and alcohol dependence.

[9]  Jie Gong,et al.  Adolescent addictive internet use and drug abuse in Wuhan, China , 2009 .

[10]  Peter N. C. Mohr,et al.  Neural Processing of Risk , 2010, The Journal of Neuroscience.

[11]  G. McCarthy,et al.  Decisions under Uncertainty: Probabilistic Context Influences Activation of Prefrontal and Parietal Cortices , 2005, The Journal of Neuroscience.

[12]  Yan Zhou,et al.  Gray matter abnormalities in Internet addiction: a voxel-based morphometry study. , 2011, European journal of radiology.

[13]  Mark Griffiths,et al.  Relationship between Gambling and Video-Game Playing: A Response to Johansson and Gotestam , 2005, Psychological reports.

[14]  M. Potenza,et al.  A cognitive-behavioral model of Internet gaming disorder: theoretical underpinnings and clinical implications. , 2014, Journal of psychiatric research.

[15]  Camelia M. Kuhnen,et al.  The Neural Basis of Financial Risk Taking , 2005, Neuron.

[16]  Kimberly Young,et al.  Internet Addiction: The Emergence of a New Clinical Disorder , 1998, Cyberpsychology Behav. Soc. Netw..

[17]  Gregory J Madden,et al.  Pathological gamblers discount probabilistic rewards less steeply than matched controls. , 2009, Experimental and clinical psychopharmacology.

[18]  G. Dong,et al.  Enhanced reward sensitivity and decreased loss sensitivity in Internet addicts: an fMRI study during a guessing task. , 2011, Journal of psychiatric research.

[19]  S. Quartz,et al.  Human Insula Activation Reflects Risk Prediction Errors As Well As Risk , 2008, The Journal of Neuroscience.

[20]  F. Joseph McClernon,et al.  Repetitive Transcranial Magnetic Stimulation of the Superior Frontal Gyrus Modulates Craving for Cigarettes , 2011, Biological Psychiatry.

[21]  Jie Tian,et al.  Microstructure Abnormalities in Adolescents with Internet Addiction Disorder , 2011, PloS one.

[22]  Jerald J. Block,et al.  Prevalence Underestimated in Problematic Internet Use Study , 2007, CNS Spectrums.

[23]  Gregory G. Brown,et al.  Prefrontal, Parietal, and Temporal Cortex Networks Underlie Decision-Making in the Presence of Uncertainty , 2001, NeuroImage.

[24]  Jie Tian,et al.  Internet addiction: Neuroimaging findings , 2011, Communicative & integrative biology.

[25]  Chih-Hung Ko,et al.  The Association between Internet Addiction and Problematic Alcohol Use in Adolescents: The Problem Behavior Model , 2008, Cyberpsychology Behav. Soc. Netw..

[26]  In Kyoon Lyoo,et al.  Differential regional gray matter volumes in patients with on-line game addiction and professional gamers. , 2012, Journal of psychiatric research.

[27]  C. Holden.  'Behavioral' Addictions: Do They Exist? , 2001, Science.

[28]  Jee Hyun Ha,et al.  Psychiatric comorbidity assessed in Korean children and adolescents who screen positive for Internet addiction. , 2006, The Journal of clinical psychiatry.

[29]  C. Ko,et al.  Predictive values of psychiatric symptoms for internet addiction in adolescents: a 2-year prospective study. , 2009, Archives of pediatrics & adolescent medicine.

[30]  C. Ko,et al.  The brain activations for both cue-induced gaming urge and smoking craving among subjects comorbid with Internet gaming addiction and nicotine dependence. , 2013, Journal of psychiatric research.

[31]  S. Huettel,et al.  The neural substrates of probabilistic and intertemporal decision making , 2008, Brain Research.

[32]  J. O'Doherty,et al.  Reward Value Coding Distinct From Risk Attitude-Related Uncertainty Coding in Human Reward Systems , 2006, Journal of neurophysiology.

[33]  Evan M. Gordon,et al.  Neural Signatures of Economic Preferences for Risk and Ambiguity , 2006, Neuron.

[34]  J. Mumford,et al.  Greater risk sensitivity of dorsolateral prefrontal cortex in young smokers than in nonsmokers , 2013, Psychopharmacology.

[35]  H. Critchley,et al.  Neural Activity in the Human Brain Relating to Uncertainty and Arousal during Anticipation , 2001, Neuron.

[36]  C. Ko,et al.  The characteristics of decision making, potential to take risks, and personality of college students with Internet addiction , 2010, Psychiatry Research.

[37]  H. de Wit,et al.  Delay or probability discounting in a model of impulsive behavior: effect of alcohol. , 1999, Journal of the experimental analysis of behavior.

[38]  C. Ko,et al.  Tridimensional Personality of Adolescents with Internet Addiction and Substance Use Experience , 2006, Canadian journal of psychiatry. Revue canadienne de psychiatrie.

[39]  J. Richards,et al.  Delay discounting and probability discounting as related to cigarette smoking status in adults , 2004, Behavioural Processes.

[40]  Hongli Zhou,et al.  Cognitive flexibility in internet addicts: fMRI evidence from difficult-to-easy and easy-to-difficult switching situations. , 2014, Addictive behaviors.

[41]  G. Dong,et al.  Risk personality traits of Internet addiction: A longitudinal study of Internet‐addicted Chinese university students , 2013, Asia-Pacific psychiatry : official journal of the Pacific Rim College of Psychiatrists.

[42]  B. Reynolds.  A review of delay-discounting research with humans: relations to drug use and gambling , 2006, Behavioural pharmacology.

[43]  G. Dong,et al.  Male Internet addicts show impaired executive control ability: Evidence from a color-word Stroop task , 2011, Neuroscience Letters.

[44]  H. Rachlin.  The Science of Self-Control , 2004 .

[45]  Mirko Pawlikowski,et al.  Excessive Internet gaming and decision making: Do excessive World of Warcraft players have problems in decision making under risky conditions? , 2011, Psychiatry Research.

[46]  K. Preuschoff,et al.  Neural Correlates of Anticipation Risk Reflect Risk Preferences , 2012, The Journal of Neuroscience.

[47]  Howard Rachlin,et al.  Discounting in judgments of delay and probability. , 2000 .

[48]  Steven W Anderson,et al.  Decision-making deficits, linked to a dysfunctional ventromedial prefrontal cortex, revealed in alcohol and stimulant abusers , 2001, Neuropsychologia.

[49]  Janet B W Williams,et al.  Diagnostic and Statistical Manual of Mental Disorders , 2013 .

[50]  S. Mitchell,et al.  Measures of impulsivity in cigarette smokers and non-smokers , 1999, Psychopharmacology.

[51]  Jerald J. Block.  Issues for DSM-V: internet addiction. , 2008, The American journal of psychiatry.

[52]  George I. Christopoulos,et al.  Neural Correlates of Value, Risk, and Risk Aversion Contributing to Decision Making under Risk , 2009, The Journal of Neuroscience.

[53]  H. Westenberg,et al.  Neurobiology of Obsessive-Compulsive Disorder: Serotonin and Beyond , 2007, CNS Spectrums.

[54]  N. Petry,et al.  Internet gaming disorder and the DSM-5. , 2013, Addiction.

[55]  V. Murali,et al.  Lost online: an overview of internet addiction , 2007 .

[56]  John Duncan,et al.  The role of the right inferior frontal gyrus: inhibition and attentional control , 2010, NeuroImage.

[57]  G. Dunbar,et al.  The Mini International Neuropsychiatric Interview (MINI). A short diagnostic structured interview: reliability and validity according to the CIDI , 1997, European Psychiatry.

[58]  Rudolf N. Cardinal,et al.  Neural systems implicated in delayed and probabilistic reinforcement , 2006, Neural Networks.

[59]  Israel Liberzon,et al.  The neural correlates of intertemporal decision‐making: Contributions of subjective value, stimulus type, and trait impulsivity , 2011, Human brain mapping.

[60]  C. Büchel,et al.  Overlapping and Distinct Neural Systems Code for Subjective Value during Intertemporal and Risky Decision Making , 2009, The Journal of Neuroscience.

[61]  Mark D. Griffiths,et al.  Videogame Addiction: Further Thoughts and Observations , 2008, International Journal of Mental Health and Addiction.

[62]  Corianne Rogalsky,et al.  Increased activation in the right insula during risk-taking decision making is related to harm avoidance and neuroticism , 2003, NeuroImage.

[63]  L. Green,et al.  A discounting framework for choice with delayed and probabilistic rewards. , 2004, Psychological bulletin.

[64]  L. Green,et al.  Discounting of delayed rewards: Models of individual choice. , 1995, Journal of the experimental analysis of behavior.

[65]  A. Kelley,et al.  Risk Taking and Novelty Seeking in Adolescence: Introduction to Part I , 2004, Annals of the New York Academy of Sciences.

[66]  I. Gasquet,et al.  Pathways to substance-related disorder: a structural model approach exploring the influence of temperament, character, and childhood adversity in a national cohort of prisoners. , 2008, Alcohol and alcoholism.

[67]  D. Cross,et al.  Subjective probability and delay. , 1991, Journal of the experimental analysis of behavior.

[68]  Mark D. Griffiths,et al.  Internet addiction in adolescents: Prevalence and risk factors , 2013, Comput. Hum. Behav..

[69]  Kimberly S. Young,et al.  Internet Addiction Test , 2015 .

[70]  King-wa Fu,et al.  Internet addiction: prevalence, discriminant validity and correlates among adolescents in Hong Kong , 2010, British Journal of Psychiatry.

[71]  Chih-Hung Ko,et al.  The associations between aggressive behaviors and internet addiction and online activities in adolescents. , 2009, The Journal of adolescent health : official publication of the Society for Adolescent Medicine.

[72]  P. Stratta,et al.  Decision making, impulsivity, and personality traits in alcohol-dependent subjects. , 2012, The American journal on addictions.

[73]  Q. Lu,et al.  Impulse inhibition in people with Internet addiction disorder: Electrophysiological evidence from a Go/NoGo study , 2010, Neuroscience Letters.