Decision-Making and Prepotent Response Inhibition Functions in Excessive Internet Users

Introduction: Excessive Internet use (EIU), also described as Internet addiction or pathological Internet use, has already become a serious social problem around the world. Some researchers consider EIU as a kind of behavioral addiction. However, there are few experimental studies on the cognitive functions of excessive Internet users (EIUers) and limited data are available to compare EIU with other addictive behaviors, such as drug abuse and pathological gambling. Methods: In this study, we examined EIUers' functions of decision-making and prepotent response inhibition. Two groups of participants, EIUers and controls, were compared on these two functions by using a Gambling Task and a Go/no-go Task, respectively. Results: Compared with controls, EIUers selected significantly less net decks in the Gambling Task (P =.007). Furthermore, the EIUers made progress in selecting strategy, but more slowly than did the control group (EIUers, chunk 3 > chunk 1, P<.001; controls, chunk 2 > chunk P<.001; controls, chunk 2 > chunk 1, P<.001). Interestingly, EIUers' accuracy during the no-go condition was significantly higher than that of controls (P=.018). Conclusion: These results showed some similarities and dissimilarities between EIU and other addictive behaviors such as drug abuse and pathological gambling. The findings from the Gambling Task indicated that EIUers have deficits in decision-making function, which are characterized by a strategy learning lag rather than an inability to learn from task contingencies. EIUers' better performance in the Go/no-go Task suggested some dissociation between mechanisms of decision-making and those of prepotent response inhibition. However, EIUers could hardly suppress their excessive online behaviors in real life. Their ability of inhibition still needs to be further studied with more specific assessments.

[1]  A. Damasio,et al.  Insensitivity to future consequences following damage to human prefrontal cortex , 1994, Cognition.

[2]  Griffiths,et al.  Internet “addiction”: an issue for clinical psychology? , 1996, Clinical Psychology Forum.

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

[4]  Gregory P. Lee,et al.  Different Contributions of the Human Amygdala and Ventromedial Prefrontal Cortex to Decision-Making , 1999, The Journal of Neuroscience.

[5]  E. Stein,et al.  Cue-induced cocaine craving: neuroanatomical specificity for drug users and drug stimuli. , 2000, The American journal of psychiatry.

[6]  J. Nigg On inhibition/disinhibition in developmental psychopathology: views from cognitive and personality psychology and a working inhibition taxonomy. , 2000, Psychological bulletin.

[7]  R. A. Davis,et al.  A cognitive-behavioral model of pathological Internet use , 2001, Comput. Hum. Behav..

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

[9]  E. Bullmore,et al.  Mapping Motor Inhibition: Conjunctive Brain Activations across Different Versions of Go/No-Go and Stop Tasks , 2001, NeuroImage.

[10]  J C Gore,et al.  Functional magnetic resonance imaging of cocaine craving. , 2001, The American journal of psychiatry.

[11]  Hanna Damasio,et al.  Decision-making and addiction (part I): impaired activation of somatic states in substance dependent individuals when pondering decisions with negative future consequences , 2002, Neuropsychologia.

[12]  A. Bechara,et al.  Decision-making and addiction (part II): myopia for the future or hypersensitivity to reward? , 2002, Neuropsychologia.

[13]  Roberto Keller,et al.  Frontal lobe dysfunction in pathological gambling patients , 2002, Biological Psychiatry.

[14]  J. Kaufman,et al.  Cingulate Hypoactivity in Cocaine Users During a GO-NOGO Task as Revealed by Event-Related Functional Magnetic Resonance Imaging , 2003, The Journal of Neuroscience.

[15]  John C Gore,et al.  Gambling urges in pathological gambling: a functional magnetic resonance imaging study. , 2003, Archives of general psychiatry.

[16]  N. Volkow,et al.  The addicted human brain: insights from imaging studies. , 2003, The Journal of clinical investigation.

[17]  C. S. Green,et al.  Action video game modifies visual selective attention , 2003, Nature.

[18]  A. Bechara The role of emotion in decision-making: Evidence from neurological patients with orbitofrontal damage , 2004, Brain and Cognition.

[19]  A. Miyake,et al.  The relations among inhibition and interference control functions: a latent-variable analysis. , 2004, Journal of experimental psychology. General.

[20]  Hugh Garavan,et al.  Executive Dysfunction in Cocaine Addiction: Evidence for Discordant Frontal, Cingulate, and Cerebellar Activity , 2004, The Journal of Neuroscience.

[21]  Wim van den Brink,et al.  Decision making in pathological gambling: a comparison between pathological gamblers, alcohol dependents, persons with Tourette syndrome, and normal controls. , 2005, Brain research. Cognitive brain research.

[22]  A. Bechara Decision making, impulse control and loss of willpower to resist drugs: a neurocognitive perspective , 2005, Nature Neuroscience.

[23]  J. Pratt,et al.  The effects of action video game experience on the time course of inhibition of return and the efficiency of visual search. , 2005, Acta psychologica.

[24]  Silvia Bernardi,et al.  The Shorter PROMIS Questionnaire and the Internet Addiction Scale in the Assessment of Multiple Addictions in a High-School Population: Prevalence and Related Disability , 2006, CNS Spectrums.

[25]  Hermano Tavares,et al.  Self-reported and neuropsychological measures of impulsivity in pathological gambling , 2006, Journal of the International Neuropsychological Society.

[26]  C. S. Green,et al.  Enumeration versus multiple object tracking: the case of action video game players , 2006, Cognition.

[27]  Wim van den Brink,et al.  Neurocognitive functions in pathological gambling: a comparison with alcohol dependence, Tourette syndrome and normal controls. , 2006, Addiction.

[28]  Xiaochuan Pan,et al.  Behavioral inhibition and prefrontal cortex in decision-making , 2006, Neural Networks.

[29]  G. Gabbard,et al.  The development of the self in the era of the internet and role-playing fantasy games. , 2006, The American journal of psychiatry.

[30]  J. Brewer,et al.  The Neurobiology of Substance and Behavioral Addictions , 2006, CNS Spectrums.

[31]  S. Grüsser,et al.  Specific cue reactivity on computer game-related cues in excessive gamers. , 2007, Behavioral neuroscience.

[32]  M. Potenza,et al.  Problematic Internet Use: Clinical Implications , 2007, CNS Spectrums.

[33]  Karen I Bolla,et al.  The differential relationship between cocaine use and marijuana use on decision-making performance over repeat testing with the Iowa Gambling Task. , 2007, Drug and alcohol dependence.

[34]  M. Pérez-García,et al.  Strategic self-regulation, decision-making and emotion processing in poly-substance abusers in their first year of abstinence. , 2007, Drug and alcohol dependence.

[35]  John Listerud,et al.  Prelude to Passion: Limbic Activation by “Unseen” Drug and Sexual Cues , 2008, PloS one.

[36]  Ning Ma,et al.  Computer Games: A Double-Edged Sword? , 2008, Cyberpsychology Behav. Soc. Netw..

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

[38]  Sheng He,et al.  Masked smoking‐related images modulate brain activity in smokers , 2009, Human brain mapping.