مقایسه بازداری پاسخ و تصمیم‌گیری پرخطر در افراد وابسته به بازی‌های رایانه‌ای با بیماران وابسته به مواد و افراد بهنجار

Ardila, A., Rosselli, M., & Strumwasser, S. (1991). Neuropsychological deficits in chronic cocaine abusers. Int J Neurosci, 57(1-2), 73-79. doi:10.3109/00207459109150348.
Barkley, R. A. (2011). Defcits in executive functioning scale (BDEFS). Guilford Press.
Bechara, A., & Damasio, H. (2002). Decision-making and addiction (part I): impaired activation of somatic states in substance dependent individuals when pondering decisions with negative future consequences. Neuropsychologia, 40(10), 1675-1689. doi:10.1016/s0028-3932(02)00015-5.
Bickel, W. K., Landes, R. D., Christensen, D. R., Jackson, L., Jones, B. A., Kurth-Nelson, Z., & Redish, A. D. (2011). Single- and cross-commodity discounting among cocaine addicts: the commodity and its temporal location determine discounting rate. Psychopharmacology (Berl), 217(2), 177-187. doi:10.1007/s00213-011-2272-x.
Brand, M., Young, K. S., & Laier, C. (2014). Prefrontal Control and Internet Addiction: A Theoretical Model and Review of Neuropsychological and Neuroimaging Findings. Frontiers in Human Neuroscience, 8(375). doi:10.3389/fnhum.2014.00375.
Kia, M. M., & Sharei, A. Identifying the effective factors in students' pathological use of virtual space.

Cadet, J. L., Bisagno, V., & Milroy, C. (2013). Neuropathology of substance use disorders. Acta neuropathologica, 127. doi:10.1007/s00401-013-1221-7.
Coutlee, C. G., & Huettel, S. A. (2012). The functional neuroanatomy of decision making: prefrontal control of thought and action. Brain Res, 1428, 3-12. doi:10.1016/j.brainres.2011.05.053.
Dong, G., Lin, X., Hu, Y., Xie, C., & Du, X. (2015). Imbalanced functional link between executive control network and reward network explain the online-game seeking behaviors in Internet gaming disorder. In Scientific Reports (Vol. 5, pp. 1-6): Nature Publishing Group.
Dong, G., & Potenza, M. N. (2014). A cognitive-behavioral model of Internet gaming disorder: theoretical underpinnings and clinical implications. J Psychiatr Res, 58, 7-11. doi:10.1016/j.jpsychires.2014.07.005.
Dubois, B., Defontaines, B., Deweer, B., Malapani, C., & Pillon, B. (1995). Cognitive and behavioral changes in patients with focal lesions of the basal ganglia. Adv Neurol, 65, 29-41.
Ekhtiari, H., & Behzadi, A. (2007). Which on has negative effect on us? Investigating the risky decision making strategies by AIWA gambling test. JCogn Sci., 6(3-4), 17-25.
Fein, G., Di Sclafani, V., & Meyerhoff, D. J. (2002). Prefrontal cortical volume reduction associated with frontal cortex function deficit in 6-week abstinent crack-cocaine dependent men. In Drug and Alcohol Dependence (Vol. 68, pp. 87-93).
Fillmore, M. T., & Rush, C. R. (2002). Impaired inhibitory control of behavior in chronic cocaine users. Drug Alcohol Depend, 66(3), 265-273. doi:10.1016/s0376-8716(01)00206-x.
Garavan, H., Potter, A. S., Brennan, K. L., & Foxe, J. J. (2015). Neural Bases of Addiction-Related Impairments in Response Inhibition. In The Wiley Handbook on the Cognitive Neuroscience of Addiction (pp. 29-54).
Gerra, G., Borella, F., Zaimovic, A., Moi, G., Bussandri, M., Bubici, C., & Bertacca, S. (2004). Buprenorphine versus methadone for opioid dependence: predictor variables for treatment outcome. Drug Alcohol Depend, 75(1), 37-45. doi:10.1016/j.drugalcdep.2003.11.017.
Goldstein, R. Z., & Volkow, N. D. (2011). Dysfunction of the prefrontal cortex in addiction: neuroimaging findings and clinical implications. Nature Reviews Neuroscience, 12(11), 652-669. doi:10.1038/nrn3119.
Gowin, J. L., Sloan, M. E., Ramchandani, V. A., Paulus, M. P., & Lane, S. D. (2018). Differences in decision-making as a function of drug of choice. Pharmacol Biochem Behav, 164, 118-124. doi:10.1016/j.pbb.2017.09.007.
Gullo, M. J., Loxton, N. J., & Dawe, S. (2014). Impulsivity: four ways five factors are not basic to addiction. Addictive behaviors, 39(11), 1547-1556. doi:10.1016/j.addbeh.2014.01.002.
Harlé, K. M., Zhang, S., Ma, N., Yu, A. J., & Paulus, M. P. (2016). Reduced Neural Recruitment for Bayesian Adjustment of Inhibitory Control in Methamphetamine Dependence. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 1(5), 448-459. doi:https://doi.org/10.1016/j.bpsc.2016.06.008
Hezaree, D., Rasulzadeh, K., Moradi, A., & Asgari, M. (2013). Comparison of the effectiveness of Cognitive Behavioral Therapy (CBT) and Behavioral Activation Therapy (BAT) in the improvement of cognitive functions (working memory and simple reaction time) in the heroin abusers in Afghanistan. Journal of cognitive psychology, 1(1).
Hunt, M. K., Hopko, D. R., Bare, R., Lejuez, C. W., & Robinson, E. V. (2005). Construct validity of the Balloon Analog Risk Task (BART): associations with psychopathy and impulsivity. Assessment, 12(4), 416-428. doi:10.1177/1073191105278740.
Ishii, H., Ohara, S., Tobler, P. N., Tsutsui, K., & Iijima, T. (2015). Dopaminergic and serotonergic modulation of anterior insular and orbitofrontal cortex function in risky decision making. Neurosci Res, 92, 53-61. doi:10.1016/j.neures.2014.11.009.
Ishii, H., Ohara, S., Tobler, P. N., Tsutsui, K.-I., & Iijima, T. (2012). Inactivating Anterior Insular Cortex Reduces Risk Taking. The Journal of Neuroscience, 32(45), 16031. doi:10.1523/JNEUROSCI.2278-12.2012.
Jentsch, J. D., & Pennington, Z. T. (2014). Reward, interrupted: Inhibitory control and its relevance to addictions. Neuropharmacology, 76 Pt B(0 0), 479-486. doi:10.1016/j.neuropharm.2013.05.022.
Johnson, M. W., Bickel, W. K., & Baker, F. (2007). Moderate drug use and delay discounting: a comparison of heavy, light, and never smokers. Exp Clin Psychopharmacol, 15(2), 187-194. doi:10.1037/1064-1297.15.2.187.
Király, O., Griffiths, M. D., & Demetrovics, Z. (2015). Internet Gaming Disorder and the DSM-5: Conceptualization, Debates, and Controversies. Current Addiction Reports, 2(3), 254-262. doi:10.1007/s40429-015-0066-7.
Koester, P., Volz, K. G., Tittgemeyer, M., Wagner, D., Becker, B., Gouzoulis-Mayfrank, E., & Daumann, J. (2013). Decision-making in Polydrug Amphetamine-type Stimulant Users: an fMRI Study. Neuropsychopharmacology, 38(8), 1377-1386. doi:10.1038/npp.2013.43.
Kohno, M., Okita, K., Morales, A. M., Robertson, C. L., Dean, A. C., Ghahremani, D. G.,... London, E. D. (2016). Midbrain functional connectivity and ventral striatal dopamine D2-type receptors: link to impulsivity in methamphetamine users. Mol Psychiatry, 21(11), 1554-1560. doi:10.1038/mp.2015.223.
Koob, G. F., & Volkow, N. D. (2010). Neurocircuitry of Addiction. Neuropsychopharmacology, 35(1), 217-238. doi:10.1038/npp.2009.110.
Kuss, D. J., & Griffiths, M. D. (2012). Internet Gaming Addiction: A Systematic Review of Empirical Research. International Journal of Mental Health and Addiction, 10(2), 278-296. doi:10.1007/s11469-011-9318-5.
Kwon, J. H., Chung, C. S., & Lee, J. (2011). The effects of escape from self and interpersonal relationship on the pathological use of internet games. In Community Mental Health Journal (Vol. 47, pp. 113-121).
Leeman, R. F., Beseler, C. L., Helms, C. M., Patock-Peckham, J. A., Wakeling, V. A., & Kahler, C. W. (2014). A brief, critical review of research on impaired control over alcohol use and suggestions for future studies. Alcoholism, clinical and experimental research, 38(2), 301-308. doi:10.1111/acer.12269.
Leeman, R. F., Hoff, R. A., Krishnan-Sarin, S., Patock-Peckham, J. A., & Potenza, M. N. (2014). Impulsivity, sensation-seeking, and part-time job status in relation to substance use and gambling in adolescents. J Adolesc Health, 54(4), 460-466. doi:10.1016/j.jadohealth.2013.09.014.
Lejuez, C. W., Read, J. P., Kahler, C. W., Richards, J. B., Ramsey, S. E., Stuart, G. L.,... Brown, R. A. (2002). Evaluation of a behavioral measure of risk taking: the Balloon Analogue Risk Task (BART). J Exp Psychol Appl, 8(2), 75-84. doi:10.1037//1076-898x.8.2.75.
Lemenager, T., Richter, A., Reinhard, I., Gelbke, J., Beckmann, B., Heinrich, M.,... Hermann, D. (2011). Impaired Decision Making in Opiate Addiction Correlates With Anxiety and Self-directedness but Not Substance Use Parameters. Journal of Addiction Medicine, 5(3). Retrieved from https://journals.lww.com/journaladdictionmedicine/Fulltext/2011/09000/Impaired_Decision_Making_in_Opiate_Addiction.7.aspx.
Li, D., Liau, A., & Khoo, A. (2011). Examining the Influence of Actual-Ideal Self-Discrepancies, Depression, and Escapism, on Pathological Gaming Among Massively Multiplayer Online Adolescent Gamers. In Cyberpsychology, Behavior, and Social Networking (Vol. 14, pp. 535-539).
Lin, B., Liew, J., & Perez, M. (2019). Measurement of self-regulation in early childhood: Relations between laboratory and performance-based measures of effortful control and executive functioning. Early Childhood Research Quarterly, 47, 1-8. doi:10.1016/j.ecresq.2018.10.004.
Lin, X., Zhou, H., Dong, G., & Du, X. (2015). Impaired risk evaluation in people with Internet gaming disorder: fMRI evidence from a probability discounting task. Progress in Neuro-Psychopharmacology and Biological Psychiatry, 56, 142-148. doi:https://doi.org/10.1016/j.pnpbp.2014.08.016.
Liu, G. C., Yen, J. Y., Chen, C. Y., Yen, C. F., Chen, C. S., Lin, W. C., & Ko, C. H. (2014). Brain activation for response inhibition under gaming cue distraction in internet gaming disorder. Kaohsiung J Med Sci, 30(1), 43-51. doi:10.1016/j.kjms.2013.08.005.
Luan, X., Ren, W., Zhao, K., Su, H., Shen, H., Chen, H.,... He, J. (2017). High prevalence of depressive symptoms and impulsivity as well as their relationship during subacute methamphetamine withdrawal in chronic abusers. J Clin Neurosci, 39, 1-3. doi:10.1016/j.jocn.2017.02.062.
Luijten, M., Machielsen, M. W., Veltman, D. J., Hester, R., de Haan, L., & Franken, I. H. (2014). Systematic review of ERP and fMRI studies investigating inhibitory control and error processing in people with substance dependence and behavioural addictions. J Psychiatry Neurosci, 39(3), 149-169. doi:10.1503/jpn.130052.
Luu, K., & Hall, P. (2017). Examining the Acute Effects of Hatha Yoga and Mindfulness Meditation on Executive Function and Mood. Mindfulness, 8, 873-880. doi:10.1007/s12671-016-0661-2
M., K., A., K., & H., A. (1393). Go/No Go Software: Sina Institute.
Mahmood, O. M., Goldenberg, D., Thayer, R., Migliorini, R., Simmons, A. N., & Tapert, S. F. (2013). Adolescents' fMRI activation to a response inhibition task predicts future substance use. Addictive behaviors, 38(1), 1435-1441. doi:10.1016/j.addbeh.2012.07.012.
Miedl, S. F., Peters, J., & Büchel, C. (2012). Altered Neural Reward Representations in Pathological Gamblers Revealed by Delay and Probability Discounting. Archives of General Psychiatry, 69(2), 177-186. doi:10.1001/archgenpsychiatry.2011.1552.
Montag, C., Duke, E., & Reuter, M. (2017). A Short Summary of Neuroscientific Findings on Internet Addiction. In C. Montag & M. Reuter (Eds.), Internet Addiction (pp. 209-218): Springer.
Morales, A. M., Lee, B., Hellemann, G., O'Neill, J., & London, E. D. (2012). Gray-matter volume in methamphetamine dependence: cigarette smoking and changes with abstinence from methamphetamine. Drug and alcohol dependence, 125(3), 230-238. doi:10.1016/j.drugalcdep.2012.02.017.
Nazari, A. M., Amini Manesh, S., Moradi, A., & Valiollah, F. (1394). Standardization of Online Gaming Addiction Questionnaire. Journal of Sabzevar University of Medical Sciences., 22(4), 603-611.
Nie, J., Zhang, W., Chen, J., & Li, W. (2016). Impaired inhibition and working memory in response to internet-related words among adolescents with internet addiction: A comparison with attention-deficit/hyperactivity disorder. Psychiatry Research, 236, 28-34. doi:https://doi.org/10.1016/j.psychres.2016.01.004.
Parsegian, A., Glen, W. B., Lavin, A., & See, R. E. (2011). Methamphetamine self-administration produces attentional set-shifting deficits and alters prefrontal cortical neurophysiology in rats. In Biological Psychiatry (Vol. 69, pp. 253-259).
Paulus, M. P., Tapert, S. F., & Schuckit, M. A. (2005). Neural Activation Patterns of Methamphetamine-Dependent Subjects During Decision Making Predict Relapse. Archives of General Psychiatry, 62(7), 761-768. doi:10.1001/archpsyc.62.7.761.
Petry, N. M. (2001). Delay discounting of money and alcohol in actively using alcoholics, currently abstinent alcoholics, and controls. Psychopharmacology (Berl), 154(3), 243-250. doi:10.1007/s002130000638.
Potvin, S., Pelletier, J., Grot, S., Hébert, C., Barr, A. M., & Lecomte, T. (2018). Cognitive deficits in individuals with methamphetamine use disorder: A meta-analysis. Addictive behaviors, 80, 154-160. doi:10.1016/j.addbeh.2018.01.021.
Ray Li, C.-S., Chen, S.-H., Lin, W.-H., & Yang, Y.-Y. (2005). Attentional blink in adolescents with varying levels of impulsivity. In Journal of psychiatric research (Vol. 39, pp. 197-205).
Roebers, C. (2017). Executive function and metacognition: Towards a unifying framework of cognitive self-regulation. Developmental Review. doi:10.1016/j.dr.2017.04.001.
Rogers, R. D., & Robbins, T. W. (2001). Investigating the neurocognitive deficits associated with chronic drug misuse. Curr Opin Neurobiol, 11(2), 250-257. doi:10.1016/s0959-4388(00)00204-x.
Ryan, K. K., Mackillop, J., & Carpenter, M. J. (2013). The relationship between impulsivity, risk-taking propensity and nicotine dependence among older adolescent smokers. Addictive behaviors, 38(1), 1431-1434. doi:10.1016/j.addbeh.2012.08.013.
Methamphetamine use and cognitive function: A systematic review of neuroimaging research, 194, Elsevier Ireland Ltd 75-87 (2019).
Saville, B., Gisbert, A., Kopp, J., & Telesco, C. (2011). Internet Addiction and Delay Discounting in College Students. In The Psychological Record (Vol. 60).
Schulte, M. H., Cousijn, J., den Uyl, T. E., Goudriaan, A. E., van den Brink, W., Veltman, D. J.,... Wiers, R. W. (2014). Recovery of neurocognitive functions following sustained abstinence after substance dependence and implications for treatment. Clin Psychol Rev, 34(7), 531-550. doi:10.1016/j.cpr.2014.08.002.
Scoville, W. B., & Milner, B. (1957). Loss of recent memory after bilateral hippocampal lesions. Journal of neurology, neurosurgery, and psychiatry, 20(1), 11-21. doi:10.1136/jnnp.20.1.11.
Smith, J. L., Mattick, R. P., Jamadar, S. D., & Iredale, J. M. (2014). Deficits in behavioural inhibition in substance abuse and addiction: a meta-analysis. Drug Alcohol Depend, 145, 1-33. doi:10.1016/j.drugalcdep.2014.08.009.
Stevens, L., Verdejo-García, A., Roeyers, H., Goudriaan, A. E., & Vanderplasschen, W. (2015). Delay discounting, treatment motivation and treatment retention among substance-dependent individuals attending an in inpatient detoxification program. In Journal of Substance Abuse Treatment (Vol. 49, pp. 58-64): Elsevier Inc.
Su, B., Yang, L., Wang, G. Y., Wang, S., Li, S., Cao, H., & Zhang, Y. (2017). Effect of drug-related cues on response inhibition through abstinence: A pilot study in male heroin abstainers. Am J Drug Alcohol Abuse, 43(6), 664-670. doi:10.1080/00952990.2017.1283695.
Verdejo-Garcia, A., Albein-Urios, N., Martinez-Gonzalez, J. M., Civit, E., de la Torre, R., & Lozano, O. (2014). Decision-making impairment predicts 3-month hair-indexed cocaine relapse. Psychopharmacology (Berl), 231(21), 4179-4187. doi:10.1007/s00213-014-3563-9.
Clinical implications and methodological challenges in the study of the neuropsychological correlates of cannabis, stimulant, and opioid abuse, 14, Neuropsychol Rev 1-41 (2004).
Volkow, N. D., Ding, Y. S., Fowler, J. S., & Wang, G. J. (1996). Cocaine addiction: hypothesis derived from imaging studies with PET. J Addict Dis, 15(4), 55-71. doi:10.1300/J069v15n04_04.
Volkow, N. D., Wang, G.-J., Fowler, J. S., & Tomasi, D. (2012). Addiction circuitry in the human brain. Annual review of pharmacology and toxicology, 52, 321-336. doi:10.1146/annurev-pharmtox-010611-134625.
Wang, Y., Wu, L., Wang, L., Zhang, Y., Du, X., & Dong, G. (2017). Impaired decision-making and impulse control in Internet gaming addicts: evidence from the comparison with recreational Internet game users. In Addiction Biology (Vol. 22, pp. 1610-1621): Blackwell Publishing Ltd.
Wodka, E. L., Mahone, E. M., Blankner, J. G., Larson, J. C., Fotedar, S., Denckla, M. B., & Mostofsky, S. H. (2007). Evidence that response inhibition is a primary deficit in ADHD. J Clin Exp Neuropsychol, 29(4), 345-356. doi:10.1080/13803390600678046.
Xiao, L., Bechara, A., Cen, S., Grenard, J. L., Stacy, A. W., Gallaher, P... . Anderson Johnson, C. (2008). Affective decision-making deficits, linked to a dysfunctional ventromedial prefrontal cortex, revealed in 10th-grade Chinese adolescent smokers. Nicotine Tob Res, 10(6), 1085-1097. doi:10.1080/14622200802097530.
Xiao, L., Bechara, A., Palmer, P., Trinidad, D., Wei, Y., Jia, Y., & Johnson, C. (2011). Parent-Child Engagement in Decision Making and the Development of Adolescent Affective Decision Capacity and Binge Drinking. Personality and individual differences, 51, 285-292. doi:10.1016/j.paid.2010.04.023.
Yang, L., Zhang, J., & Zhao, X. (2015). Implicit processing of heroin and emotional cues in abstinent heroin users: early and late event-related potential effects. In The American Journal of Drug and Alcohol Abuse (Vol. 41, pp. 237-245): Informa Healthcare.
Zhou, Z., Yuan, G., & Yao, J. (2012). Cognitive Biases toward Internet Game-Related Pictures and Executive Deficits in Individuals with an Internet Game Addiction. In M. Mazza (Ed.), PLoS ONE (Vol. 7, pp. e48961).
Zhou, Z.-H., Yuan, G.-Z., Yao, J.-J., Li, C., & Cheng, Z.-H. (2010). An event-related potential investigation of deficient inhibitory control in individuals with pathological Internet use. In Acta Neuropsychiatrica (Vol. 22, pp. 228-236): Blackwell Publishing Ltd.