药物成瘾者决策缺陷的特征、机制及干预

doi:10.3724/SP.J.1042.2019.00329

摘要/Abstract

摘要：

药物成瘾者存在决策缺陷, 并表现出冲动性、风险寻求、奖赏失调、躯体内感信号缺失等特征。神经影像学研究表明药物滥用导致成瘾者背外侧前额皮层、前扣带回、眶额叶皮层、腹内侧前额皮层、杏仁核、脑岛等脑区受损, 这些损伤是引发其决策缺陷的主要原因。认知训练有利于提高个体的决策能力, 如目标管理训练和正念冥想等可以增强个体工作记忆、促进自我觉察和以目标为导向的行为; 而非侵入性脑刺激则可以直接改变与成瘾者决策相关脑区的激活状态, 从而提升与决策相关的认知功能。总体而言, 未来认知训练和非侵入性脑刺激在成瘾干预方面仍有广阔的拓展空间。

关键词: 药物成瘾, 决策缺陷, 成瘾干预, 冲动性, 风险寻求, 奖赏失调

Abstract:

Drug addicts have decision-making defects, and show the characteristics of impulsivity, risk-taking, dysfunctional reward processing, and lack of signals in bodies. Neuroimaging studies have shown that abuse of addictive drugs may cause damage to some brain areas such as DLPFC, ACC, OFC, VMPFC, Amygdala, Insula, etc, that may be incur addicts' decision-making defects. Cognitive training is beneficial to improve individuals' decision-making ability, for instance, goal management training and mindfulness meditation can improve working memory, promote self-awareness and goal oriented behavior; while, noninvasive brain stimulation can directly change the active state of addicts' brain regions that related to decision-making, hence, the cognitive function related to decision-making is improved. All in all, in the future cognitive training and noninvasive brain stimulation still have a broad space to expand in the aspect of addiction intervention.

Key words: drug addiction, decision-making defects, addiction intervention, impulsivity, risk-taking, dysfunctional reward processing

中图分类号:

B845

杨玲, 姚东伟, 曹华, 王斌强, 何圆圆, 苏红婷. (2019). 药物成瘾者决策缺陷的特征、机制及干预. 心理科学进展 , 27(2), 329-343.

YANG Ling, YAO Dongwei, CAO Hua, WANG Binqiang, HE Yuanyuan, SU Hongting. (2019). The characteristics, mechanisms and interventions of drug addicts' decision-making defects. Advances in Psychological Science, 27(2), 329-343.

参考文献 121

1	程九清, 陆燕红, 韩晓东, 隋南 . ( 2009). 海洛因成瘾者决策障碍及其行为机制的研究——短视行为及冲动、强迫和吸毒史在决策中的作用. Biennial Conference of the Chinese Society for Neuroscience.
2	张建军, 刘鹏, 朱宁, 隋南 . ( 2013). 药物成瘾诱导相关大脑核团功能和行为改变的DNA甲基化机制. 心理科学进展, 21( 6), 975-981. doi: 10.3724/SP.J.1042.2013.00975 URL
3	Abay K.A., &Mannering F.L . ( 2016). An empirical analysis of risk-taking in car driving and other aspects of life. Accident Analysis and Prevention, 97, 57-68. doi: 10.1016/j.aap.2016.08.022 URL pmid: 27566958
4	Alfonso J. P., Caracuel A., Delgado-Pastor L. C., & Verdejo-García A . ( 2011). Combined goal management training and mindfulness meditation improve executive functions and decision-making performance in abstinent polysubstance abusers. Drug and Alcohol Dependence,117(1), 78-81. doi: 10.1016/j.drugalcdep.2010.12.025 URL pmid: 21277705
5	Baldacchino A., Balfour D. J. K., Passetti F., Humphris G., & Matthews K . ( 2012). Neuropsychological consequences of chronic opioid use: A quantitative review and meta-analysis. Neuroscience & Biobehavioral Reviews, 36(9), 2056-2068. doi: 10.1016/j.neubiorev.2012.06.006 URL pmid: 22771335
6	Balodis I.M., & Potenza M.N . ( 2015). Anticipatory reward processing in addicted populations: A focus on the monetary incentive delay task. Biological Psychiatry, 77(5), 434-444. doi: 10.1016/j.biopsych.2014.08.020 URL pmid: 25481621
7	Baler R.D., &Volkow N.D . ( 2006). Drug addiction: The neurobiology of disrupted self-control. Trends in Molecular Medicine,12(12), 559-566. doi: 10.1016/j.molmed.2006.10.005 URL pmid: 17070107
8	Barbey A. K., Colom R., & Grafman J . ( 2013). Dorsolateral prefrontal contributions to human intelligence. Neuropsychologia, 51(7), 1361-1369.
9	Bechara A. ( 2005). Decision making, impulse control and loss of willpower to resist drugs: A neurocognitive perspective. Nature Neuroscience,8(11), 1458-1463. doi: 10.1038/nn1584 URL pmid: 16251988
10	Bechara A., &Damasio A. ( 2005). The somatic marker hypothesis: a neural theory of economic decision. Games and Economic Behavior, 52(2), 336-372. doi: 10.1016/j.geb.2004.06.010 URL
11	Bechara A., Damasio A. R., Damasio H., & Anderson S. W . ( 1994). Insensitivity to future consequences following damage to human prefrontal cortex. Cognition,50(1-3), 7-15. doi: 10.1016/0010-0277(94)90018-3 URL
12	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 URL pmid: 11992656
13	Bechara A., Damasio H., & Damasio A. R . ( 2000). Emotion, decision making and the orbitofrontal cortex. Cerebral Cortex,10(3), 295-307. doi: 10.1093/cercor/10.3.295 URL
14	Bechara A., Damasio H., Damasio A. R., & Lee G. P . ( 1999). Different contributions of the human amygdala and ventromedial prefrontal cortex to decision-making. The Journal of Neuroscience,19(13), 5473-5481. doi: 10.1523/JNEUROSCI.19-13-05473.1999 URL
15	Bechara A., Damasio H., Tranel D., & Damasio A. R . ( 1997). Deciding advantageously before knowing the advantageous strategy. Science,275(5304), 1293-1295. doi: 10.1126/science.275.5304.1293 URL
16	Bjork J. M., Momenan R., Smith A. R., & Hommer D. W . ( 2008). Reduced posterior mesofrontal cortex activation by risky rewards in substance-dependent patients. Drug and Alcohol Dependence,95(1-2), 115-128. doi: 10.1016/j.drugalcdep.2007.12.014 URL pmid: 18295984
17	Bolla K., Ernst M., Kiehl K., Mouratidis M., Eldreth D., Contoreggi C., … London E . ( 2004). Prefrontal cortical dysfunction in abstinent cocaine abusers. Journal of Neuropsychiatry and Clinical Neurosciences,16(4), 456-464. doi: 10.1176/jnp.16.4.456 URL pmid: 2771441
18	Bolla K. I., Eldreth D. A., London E. D., Kiehl K. A., Mouratidis M., Contoreggi C., … Ernst M . ( 2003). Orbitofrontal cortex dysfunction in abstinent cocaine abusers performing a decision-making task. Neuroimage 19(3), 1085-1094. doi: 10.1016/S1053-8119(03)00113-7 URL pmid: 2767245
19	Brantley J., &Kabat-Zinn J. ( 2007). Calming your anxious mind : How mindfulness and compassion can free you from anxiety, fear and panic. New Harbinger Publications.
20	Broche-Pérez Y., Herrera Jiménez L. F., & Omar-Martínez E . ( 2016). Neural substrates of decision-making Bases neurales de la toma de decisiones. Neurología, 31(5), 319-325.
21	Camus M., Halelamien N., Plassmann H., Shimojo S., O'Doherty J., Camerer C., & Rangel A . ( 2009). Repetitive transcranial magnetic stimulation over the right dorsolateral prefrontal cortex decreases valuations during food choices. European Journal of Neuroscience,30(10), 1980-1988. doi: 10.1111/j.1460-9568.2009.06991.x URL pmid: 19912330
22	Chase H. W., Eickhoff S. B., Laird A. R., & Hogarth L . ( 2011). The neural basis of drug stimulus processing and craving: an activation likelihood estimation meta-analysis. Biological Psychiatry,70(8), 785-793. doi: 10.1016/j.biopsych.2011.05.025 URL pmid: 21757184
23	Cheetham A., Allen N. B., Yücel M., & Lubman D. I . ( 2010). The role of affective dysregulation in drug addiction. Clinical Psychology Review,30(6), 621-634. doi: 10.1016/j.cpr.2010.04.005 URL
24	Clark L., Cools R., & Robbins T. W . ( 2004). The neuropsychology of ventral prefrontal cortex: Decision-making and reversal learning. Brain and Cognition,55(1), 41-53. doi: 10.1016/S0278-2626(03)00284-7 URL
25	Cohenkdoshay O., &Meiran N. ( 2009). The representation of instructions operates like a prepared reflex: Flanker compatibility effects found in first trial following S-R instructions. Experimental Psychology,56(2), 128-133. doi: 10.1027/1618-3169.56.2.128 URL
26	Craig A.D . ( 2009). How do you feel—now? The anterior insula and human awareness. Nature Reviews Neuroscience,10(1), 59-70. doi: 10.1038/nrn2555 URL
27	Craig A.D . ( 2010). Once an island, now the focus of attention. Brain Structure & Function,214(5-6), 395-396.
28	Crowley T. J., Dalwani M. S., Mikulich-Gilbertson S. K., Du Y. P., Lejuez C. W., Raymond K. M., Banich M. T ., ( 2010). Risky decisions and their consequences: Neural processing by boys with antisocial substance disorder. PLoS One,5(9), e12835. doi: 10.1371/journal.pone.0012835 URL
29	Davis M., &Whalen P.J . ( 2001). The amygdala: Vigilance and emotion. Molecular Psychiatry,6(1), 13-34. doi: 10.1038/sj.mp.4000812 URL
30	De Martino B., Camerer C. F., & Adolphs R . ( 2010). Amygdala damage eliminates monetary loss aversion. Proceedings of the National Academy of Sciences of the United States of America,107(8), 3788-3792. doi: 10.1073/pnas.0910230107 URL
31	Diekhof E. K., Falkai P., & Gruber O . ( 2008). Functional neuroimaging of reward processing and decision-making: A review of aberrant motivational and affective processing in addiction and mood disorders. Brain Research Reviews,59(1), 164-184. doi: 10.1016/j.brainresrev.2008.07.004 URL
32	Droutman V., Stephen S. J., & Bechara A . ( 2015). Revisiting the role of the insula in addiction. Trends in Cognitive Sciences, 19(7), 414-420.
33	Dvorak R. D., Merrill J. E., Read J. P., & Simons J. S . ( 2012). Dimensions and severity of marijuana consequences: Development and validation of the marijuana consequences questionnaire (MACQ). Addictive Behaviors,37(5), 613-621. doi: 10.1016/j.addbeh.2012.01.008 URL
34	Ersche K. D., Clark L., London M., Robbins T. W., & Sahakian B. J . ( 2006). Profile of executive and memory function associated with amphetamine and opiate dependence. Neuropsychopharmacology Official Publication of the American College of Neuropsychopharmacology, 31(5), 1036.
35	Ersche K. D., Turton A. J., Chamberlain S. R., Müller U., Bullmore E. T., Robbins T. W ., ( 2012). Cognitive dysfunction and anxious-impulsive personality traits are endophenotypes for drug dependence. Am. J. Psychiatry, 169, 926-936. doi: 10.1176/appi.ajp.2012.11091421 URL
36	Evenden J.L . ( 1999). Varieties of impulsivity. Psychopharmacology,146(4), 348-361. doi: 10.1007/PL00005481 URL
37	Fattore L. &Diana M. ( 2016). Drug addiction: An affective-cognitive disorder in need of a cure. Neuroscience & Biobehavioral Reviews, 65, 341-361.
38	Fecteau S., Agosta S., Hone-Blanchet A., Fregni F., Boggio P., Ciraulo D., & Pascual-Leone A . ( 2014). Modulation of smoking and decision-making behaviors with transcranial direct current stimulation in tobacco smokers: a preliminary study. Drug and Alcohol Dependence, 140, 78-84.
39	Fecteau S., Knoch D., Fregni F., Sultani N., Boggio P., & Pascual-Leone A . ( 2007). Diminishing risk-taking behavior by increasing activity in the right prefrontal cortex: A direct current stimulation study. Journal of Neuroscience, 27(46), 12500-12505.
40	Fernie G., Peeters M., Gullo M. J., Christiansen P., Cole J. C., & Sumnall H., Fleld M . ( 2013). Multiple behavioural impulsivity tasks predict prospective alcohol involvement in adolescents. Addiction,108(11), 1916-1923. doi: 10.1111/add.12283 URL
41	Figner B., Knoch D., Johnson E. J., Krosch A. R., Lisanby S. H., Fehr E., Weber E. U . ( 2010). Lateral prefrontal cortex and self-control in intertemporal choice. Nature Neuroscience,13(5), 538-539. doi: 10.1038/nn.2516 URL
42	Fishbein D. H., Eldreth D. L., Hyde C., Matochik J. A., London E. D., Contoreggi C., … Grant S ., ( 2005). Risky decision making and the anterior cingulate cortex in abstinent drug abusers and nonusers. Cognitive Brain Research,23(1), 119-136. doi: 10.1016/j.cogbrainres.2004.12.010 URL
43	Fridberg D. J., Queller S., Ahn W. Y., Kim W., Bishara A. J., Busemeyer J. R., .. Stout J. C . ( 2010). Cognitive mechanisms underlying risky decision-making in chronic cannabis users. Journal of Mathematical Psychology, 54(1), 28-38.
44	Fukunaga R., Brown J. W., & Bogg T . ( 2012). Decision making in the balloon analogue risk task (BART): Anterior cingulate cortex signals loss aversion but not the infrequency of risky choices. Cognitive,Affective, & Behavioral Neuroscience, 12(3), 479-490.
45	Garcia-RodriGuez O., Secades-Villa R., Weidberg S., & Yoon J. H . ( 2013). A systematic assessment of delay discounting in relation to cocaine and nicotine dependence. Behavioural Processes,99(4), 100-105. doi: 10.1016/j.beproc.2013.07.007 URL
46	Gardini, S., &Venneri A. ( 2012). Reduced grey matter in the posterior insula as a structural vulnerability or diathesis to addiction. Brain Research Bulletin. 87(2-3), 205-211
47	Gilmore C. S., Dickmann P. J., Nelson B. G., Lamberty G. J., & Lim K. O . ( 2017). Transcranial direct current stimulation (tDCS) paired with a decision-making task reduces risk-taking in a clinically impulsive sample. Brain Stimulation,11(2), 302-309.
48	Gorini A., Lucchiari C., Russell-Edu W., & Pravettoni G . ( 2014). Modulation of risky choices in recently abstinent dependent cocaine users: A transcranial direct-current stimulation study. Frontiers in Human Neuroscience, 8, 661-661.
49	Gowin J. L., Mackey S., & Paulus M. P . ( 2013). Altered risk-related processing in substance users: Imbalance of pain and gain. Drug & Alcohol Dependence,132(1-2), 13-21.
50	Guttman Z., Moeller S. J., & London E. D . ( 2017). Neural underpinnings of maladaptive decision-making in addictions. Pharmacology Biochemistry and Behavior, 164, 84-98.
51	Hanlon C. A., Wesley M. J., Stapleton J. R., Laurienti P. J., & Porrino L. J . ( 2011). The association between frontal- striatal connectivity and sensorimotor control in cocaine users. Drug and Alcohol Dependence,115(3), 240-243. doi: 10.1016/j.drugalcdep.2010.11.008 URL
52	Hanson K. L., Luciana M., & Sullwold K . ( 2008). Reward-related decision-making deficits and elevated impulsivity among mdma and other drug users. Drug and Alcohol Dependence,96(1-2), 99-110. doi: 10.1016/j.drugalcdep.2008.02.003 URL
53	Hanson K. L., Thayer R. E., & Tapert S. F . ( 2014). Adolescent marijuana users have elevated risk-taking on the balloon analog risk task. Journal of Psychopharmacology,28(11), 1080-1087. doi: 10.1177/0269881114550352 URL
54	Hopko D. R., Lejuez C. W., Daughters S. B., Aklin W. M., Osborne A., Simmons B. L., & Strong D. R . ( 2006). Construct validity of the balloon analogue risk task (BART): Relationship with MDMA use by inner-city drug users in residential treatment. Journal of Psychopathology and Behavioral Assessment,28(2), 95-101. doi: 10.1007/s10862-006-7487-5 URL
55	Houben K., Nederkoorn C., Wiersb R. W., & Jansena A . ( 2011). Resisting temptation: Decreasing alcohol-related affect and drinking behavior by training response inhibition. Drug and Alcohol Depend. 116(1-3), 132-136. doi: 10.1016/j.drugalcdep.2010.12.011 URL
56	Hyatt C. J., Assaf M., Muska C. E., Rosen R. I., Thomas A. D., Johnson M. R., … Pearlson G. D . ( 2012). Reward-related dorsal striatal activity differences between former and current cocaine dependent individuals during an interactive competitive game. Plos One, 7(5), e34917.
57	Javadi A.H., &Walsh V. ( 2012). Transcranial direct current stimulation (tDCS) of the left dorsolateral prefrontal cortex modulates declarative memory. Brain Stimulation, 5(3), 231-241.
58	Jia Z., Worhunsky P. D., Carroll K. M., Rounsaville B. J., Stevens M. C., Pearlson G. D., & Potenza M. N . ( 2011). An initial study of neural responses to monetary incentives as related to treatment outcome in cocaine dependence. Biological Psychiatry, 70(6), 553-560.
59	Kenny P. J., Polis I., Koob G. F., & Markou A . ( 2003). Low dose cocaine self-administration transiently increases but high dose cocaine persistently decreases brain reward function in rats. European Journal of Neuroscience,17(1), 191-195. doi: 10.1046/j.1460-9568.2003.02443.x URL
60	Kjome K. L., Lane S. D., Schmitz J. M., Green C., Ma L. S., Prasla I., & Gerard Moeller F . ( 2010). Relationship between impulsivity and decision making in cocaine dependence. Psychiatry Research, 178(2), 299-304.
61	Knoch D., Treyer V., Regard M., Müri R. M., Buck A., & Weber B . ( 2006). Lateralized and frequency-dependent effects of prefrontal rtms on regional cerebral blood flow. Neuroimage,31(2), 641-648. doi: 10.1016/j.neuroimage.2005.12.025 URL
62	Knutson B., Bjork J. M., Fong G. W., Hommer D., Mattay V. S., & Weinberger D. R . ( 2004). Amphetamine modulates human incentive processing. Neuron, 43(2), 261-269.
63	Knutson B., &Greer S.M . ( 2008). Anticipatory affect: Neural correlates and consequences for choice. Philosophical Transactions of the Royal Society of London,363(1511), 3771-86. doi: 10.1098/rstb.2008.0155 URL
64	Krawczyk D.C . ( 2002). Contributions of the prefrontal cortex to the neural basis of human decision making. Neuroscience & Biobehavioral Reviews, 26(6), 631-664.
65	Kringelbach M. L., O'Doherty J., Rolls E. T., & Andrews C . ( 2003). Activation of the human orbitofrontal cortex to a liquid food stimulus is correlated with its subjective pleasantness. Cerebral Cortex,13(10), 1064-1071. doi: 10.1093/cercor/13.10.1064 URL
66	Lau B., &Glimcher P.W . ( 2005). Dynamic response-by- response models of matching behavior in rhesus monkeys. Journal of the Experimental Analysis of Behavior,84(3), 555-579. doi: 10.1901/jeab.2005.110-04 URL
67	Li X. R., Lu Z. L., D'Argembeau A., Ng M., & Bechara A . ( 2010). The Iowa gambling task in fMRI images. Human Brain Mapping,31(3), 410-423.
68	Lopez-Larson M. P., Bogorodzkid P., Rogowskae J., Mc Gladeac E., Kinga J. B., Terrya J., & Yurgelun-Toddabc D . ( 2011) Altered prefrontal and insular cortical thickness in adolescent marijuana users. Behavioural Brain Research. 220(1), 164-172 doi: 10.1016/j.bbr.2011.02.001 URL
69	Maeyer J., Vanderplasschen W., & Broekaert E . ( 2010). Quality of life among opiate-dependent individuals: A review of the literature. International Journal of Drug Policy,21(5), 364-380. doi: 10.1016/j.drugpo.2010.01.010 URL
70	McConnell P. A., Froeliger B ., ( 2015). Mindfulness, mechanisms and meaning: Perspectives from the cognitive neuroscience of addiction. Psychological Inquiry,26(4), 349-357. doi: 10.1080/1047840X.2015.1076701 URL
71	Merzagora A. C., Foffani G., Panyavin I., Mordillo-Mateos L., Aguilar J., Onaral B., & Oliviero A ., ( 2010). Prefrontal hemodynamic changes produced by anodal direct current stimulation. Neuroimage, 49( 3), 2304-2310. doi: 10.1016/j.neuroimage.2009.10.044 URL
72	Moeller F. G., Dougherty D. M., Barratt E. S., Schmitz J. M., Swann A. C., & Grabowski J . ( 2001). The impact of impulsivity on cocaine use and retention in treatment. Journal of Substance Abuse Treatment,21(4), 193-198. doi: 10.1016/S0740-5472(01)00202-1 URL
73	Moreno-López L., Stamatakis E. A., Fernández-Serrano M. J., Gómez-Río M., Rodríguez-Fernández A., & Pérez- García M ., et al. ( 2012). Neural correlates of the severity of cocaine, heroin, alcohol, MDMA and cannabis use in polysubstance abusers: A resting-pet brain metabolism study. Plos One,7(6), e39830. doi: 10.1371/journal.pone.0039830 URL
74	Muellbacher W., Ziemann U., Boroojerdi B., & Hallett M . ( 2000). Effects of low-frequency transcranial magnetic stimulation on motor excitability and basic motor behavior. Clinical Neurophysiology,111(6), 1002-1007. doi: 10.1016/S1388-2457(00)00284-4 URL
75	Nacewicz B. M., Dalton K. M., Johnstone, T. Long, M. T., McAuliff E. M., Oakes T. R., … Davidson R. J . ( 2006). Amygdala volume and nonverbal social impairment in adolescent and adult males with autism. Archives of General Psychiatry,63(12), 1417-1428.
76	Nestor L., Hester R., & Garavan H . ( 2010). Increased ventral striatal bold activity during non-drug reward anticipation in cannabis users. Neuroimage,49(1), 1133-1143. doi: 10.1016/j.neuroimage.2009.07.022 URL
77	Nitsche M.A., &Paulus W. ( 2000). Excitability changes induced in the human motor cortex by weak transcranial direct current stimulation. Journal of Physiology, 527(3), 633-639.
78	Noël X., Brevers D., & Bechara A . ( 2013). A neurocognitive approach to understanding the neurobiology of addiction. Current Opinion in Neurobiology,23(4), 632-638. doi: 10.1016/j.conb.2013.01.018 URL
79	Ouellet J., McGirr A., Eynde F. V. D., Jollant F., Lepage M., & Berlim M. T . ( 2015). Enhancing decision-making and cognitive impulse control with transcranial direct current stimulation (tDCS) applied over the orbitofrontal cortex (OFC): A randomized and sham-controlled exploratory study. Journal of Psychiatric Research, 69, 27-34. doi: 10.1016/j.jpsychires.2015.07.018 URL
80	Passetti F., Clark L., Mehta M. A., Joyce E., & King M . ( 2008). Neuropsychological predictors of clinical outcome in opiate addiction. Drug and Alcohol Dependence, 94(1-3), 82-91.
81	Paulus M.P., &Frank, L.R . ( 2006). Anterior cingulate activity modulates nonlinear decision weight function of uncertain prospects. Neuroimage, 30(2), 668-677.
82	Paulus M.P., &Stewart J.L . ( 2014). Interoception and drug addiction. Neuropharmacology, 76(1), 342-350. doi: 10.1016/j.neuropharm.2013.07.002 URL
83	Petry N.M . ( 2003). Discounting of money, health, and freedom in substance abusers and controls. Drug and Alcohol Dependence,71(2), 133-141. doi: 10.1016/S0376-8716(03)00090-5 URL
84	Philiastides M. G., Auksztulewicz R., Heekeren H. R., & Blankenburg F . ( 2011). Causal role of dorsolateral prefrontal cortex in human perceptual decision making. Current Biology, 21(11), 980-983.
85	Preuschoff K., Quartz S. R., Bossaerts P . ( 2008). Human insula activation reflects risk prediction errors as well as risk. Journal of Neuroscience,28(11):2745-2752. doi: 10.1523/JNEUROSCI.4286-07.2008 URL
86	Rachid F., &Bertschy G. ( 2006). Safety and efficacy of repetitive transcranial magnetic stimulation in the treatment of depression: A critical appraisal of the last 10 years. Neurophysiologie Clinique/Clinical Neurophysiology, 36(3), 157-183.
87	Ríos-Bedoya C. F., Snedecor S. M., Pomerleau C. S., & Pomerleau O. F . ( 2008). Association of withdrawal features with nicotine dependence as measured by the fagerstrom test for nicotine dependence (FTND). Addictive Behaviors,33(8), 1086-1089. doi: 10.1016/j.addbeh.2008.04.005 URL
88	Robertson I. H., &Garavan H. ,.( 2000) . Vigilant attention. In M. Gazzaniga (Ed.). The new cognitive neurosciences (pp.563-578). Cambridge , MA: MIT Press.
89	Robertson I. H., Levine B., Manly T ., ( 2005). Goal Management Training. Baycrest Rotman Research Institute.
90	Roesch M.R., &Olson C.R . ( 2005). Neuronal activity dependent on anticipated and elapsed delay in macaque prefrontal cortex, frontal and supplementary eye fields, and premotor cortex. Journal of Neurophysiology,94(2), 1469-1479. doi: 10.1152/jn.00064.2005 URL
91	Rosenbloom M. H., Schmahmann J. D., & Price B. H . ( 2012). The functional neuroanatomy of decision-making. The Journal of Neuropsychiatry and Clinical Neurosciences,24(3), 266-277. doi: 10.1176/appi.neuropsych.11060139 URL
92	Samejima K., Ueda Y., Doya K., & Kimura M . ( 2005). Representation of action-specific reward values in the striatum. Science, 310(5752), 1337-1340.
93	Sheffer C. E., Christensen D. R., Landes R., Carter L. P., Jackson L., & Bickel W. K . ( 2014). Delay discounting rates: a strong prognostic indicator of smoking relapse. Addictive Behaviors,39(11), 1682-1689. doi: 10.1016/j.addbeh.2014.04.019 URL
94	Shenhav A., Botvinick M. M., & Cohen J. D . ( 2013). The expected value of control: an integrative theory of anterior cingulate cortex function. Neuron, 79(2), 217-240.
95	Shulman E. P., Smith A. R., Silva K., Icenogle G., Duell N., & Chein J., & Steinbergbc L . ( 2016). The dual systems model: Review, reappraisal, and reaffirmation. Developmental Cognitive Neuroscience, 17, 103-117.
96	Slagter H. A., Lutz A., Greischar L. L., Francis A. D., Nieuwenhuis S., Davis J. M., & Davidson R. J ., ( 2007). Mental training affects distribution of limited brain resources. PLoS Biol, 5, e138 doi: 10.1371/journal.pbio.0050138 URL
97	Sridharan D., Levitin D. J., & Menon V . ( 2008). A critical role for the right fronto-insular cortex in switching between central-executive and default-mode networks. Proceedings of the National Academy of Sciences of the United States of America,105(34), 12569-12574. doi: 10.1073/pnas.0800005105 URL
98	Stevens L., Betanzos-Espinosa P., Crunelle C. L., Vergara- Moragues E., Roeyers H., Lozano O., .. Pérez-García M . ( 2013). Disadvantageous decision-making as a predictor of drop-out among cocaine-dependent individuals in long- term residential treatment. Frontiers in Psychiatry, 4, 149.
99	Stewart J. L., May A. C., Poppa T., Davenport P. W., Tapert S. F., & Paulus M. P . ( 2014). You are the danger: Attenuated insula response in methamphetamine users during aversive interoceptive decision-making. Drug and Alcohol Dependence, 142, 110-119. doi: 10.1016/j.drugalcdep.2014.06.003 URL
100	Stoops W.W., &Kearns D.N . ( 2018). Decision-making in addiction: Current knowledge, clinical implications and future directions. Pharmacology Biochemistry and Behavior, 164, 1-3. doi: 10.1016/j.pbb.2017.12.001 URL
101	Su H., Zhong N., Gan H., Wang J. J., Han H., Chen T. Z., … Zhao M . ( 2017). High frequency repetitive transcranial magnetic stimulation of the left dorsolateral prefrontal cortex for methamphetamine use disorders: A randomised clinical trial . Drug and Alcohol Dependence, 175, 84-91.
102	Tang Y. Y., Posner M. I., Rothbart M. K., Volkow N. D ., ( 2015). Circuitry of self-control and its role in reducing addiction. Trends in Cognitive Sciences. 19(8), 439-444.
103	Torregrossa M. M., Corlett P. R., & Taylor J. R . ( 2011). Aberrant learning and memory in addiction. Neurobiology of Learning and Memory,96(4), 609-623. doi: 10.1016/j.nlm.2011.02.014 URL
104	Trumbo M. C., Matzen L. E., Coffman B. A., Hunter M. A., Jones A. P., & Robinson C. S. H., Clarkbc V. P . ( 2016). Enhanced working memory performance via transcranial direct current stimulation: The possibility of near and far transfer. Neuropsychologia, 93(Part A), 85-96.
105	Tschernegg M., Pletzer B., Schwartenbeck P., Ludersdorfer P., Hoffmann U., & Kronbichler M . ( 2015). Impulsivity relates to striatal gray matter volumes in humans: Evidence from a delay discounting paradigm. Frontiers in Human Neuroscience, 9, 384.
106	Valls-Serrano C., Caracuel A., & Verdejo-Garcia A . ( 2016). Goal management training and mindfulness meditation improve executive functions and transfer to ecological tasks of daily life in polysubstance users enrolled in therapeutic community treatment. Drug and Alcohol Dependence, 165, 9-14. doi: 10.1016/j.drugalcdep.2016.04.040 URL
107	Verdejo-García A., &Bechara A. ( 2009). A somatic marker theory of addiction. Neuropharmacology, 56( Suppl 1), 48-62. doi: 10.1016/j.neuropharm.2008.07.035 URL
108	Verdejo-Garcia A., Benbrook A., Funderburk F., David P., Cadet J. L., & Bolla K. I . ( 2007). The differential relationship between cocaine use and marijuana use on decision-making performance over repeat testing with the Iowa gambling task. Drug and Alcohol Dependence,90(1), 2-11. doi: 10.1016/j.drugalcdep.2007.02.004 URL
109	Verdejo-García A. J., Perales J. C., & Pérezgarcía M . ( 2007). Cognitive impulsivity in cocaine and heroin polysubstance abusers. Addictive Behaviors,32(5), 950-966. doi: 10.1016/j.addbeh.2006.06.032 URL
110	Verdejo-García A. &Pérezgarcía M. ( 2008). Substance abusers' self-awareness of the neurobehavioral consequences of addiction. Psychiatry Research,158(2), 172-180. doi: 10.1016/j.psychres.2006.08.001 URL
111	Wang Y. J., Shen Y., Cao X. Y., Shan C. L., Pan J. B., & He H., … Yuan T. F . ( 2016). Transcranial direct current stimulation of the frontal-parietal-temporal area attenuates cue-induced craving for heroin. Journal of Psychiatric Research, 79, 1-3.
112	Weber M.J., Messing S.B., Rao H., Detre J.A., Thompson- Schill S.L ., ( 2014). Prefrontal transcranial direct current stimulation alters activation and connectivity in cortical and subcortical reward systems: A tDCS-fMRI study. Hum. Brain Mapp,35(8), 3673-3686. doi: 10.1002/hbm.v35.8 URL
113	Wesley M. J., Hanlon C. A., & Porrino L. J . ( 2011). Poor decision-making by chronic marijuana users is associated with decreased functional responsiveness to negative consequences. Psychiatry Research: Neuroimaging, 191(1), 51-59.
114	Wiers R. W., Gladwin T. E., Hofmann W., Salemink E., & Ridderinkhof K. R . ( 2013). Cognitive bias modification and cognitive control training in addiction and related psychopathology: mechanisms, clinical perspectives, and ways forward. Clinical Psychological Science, 1(2), 192-212.
115	Wilson M.J., &Vassileva J. ( 2016). Neurocognitive and psychiatric dimensions of hot, but not cool, impulsivity predict HIV sexual risk behaviors among drug users in protracted abstinence. The American Journal of Drug and Alcohol Abuse,42(2), 231-241. doi: 10.3109/00952990.2015.1121269 URL
116	Wittkuhn L., Eppinger B., Bartsch L. M., Thurm F., Korb F. M., & Li S. C . ( 2017). Repetitive transcranial magnetic stimulation over dorsolateral prefrontal cortex modulates value-based learning during sequential decision-making. Neuroimage, 167, 384-395.
117	Yamamoto D. J., Reynolds J., Krmpotich T., Banich M. T., Thompson L., & Tanabe J . ( 2014). Temporal profile of fronto-striatal-limbic activity during implicit decisions in drug dependence. Drug and Alcohol Dependence, 136(1), 108-114.
118	Yao Y. W., Chen P. R., Li C. S. R., Hare T. A., Li S., Zhang J. T., … Fang X. Y . ( 2017). Combined reality therapy and mindfulness meditation decrease intertemporal decisional impulsivity in young adults with internet gaming disorder. Computers in Human Behavior,68(5), 210-216. doi: 10.1016/j.chb.2016.11.038 URL
119	Yuan K., Qin W., Dong M. H., Liu J. X., Sun J. B., Liu P., .. Tian J . ( 2010). Gray matter deficits and resting-state abnormalities in abstinent heroin-dependent individuals. Neuroscience Letters, 482(2), 101-105.
120	Zalla T., Koechlin E., Pietrini P., Basso G., Aquino P., Sirigu A., & Grafman J . ( 2000). Differential amygdala responses to winning and losing: A functional magnetic resonance imaging study in humans. European Journal of Neuroscience, 12(5), 1764-1770.
121	Zanto T. P., Rubens M. T., Arul T., & Adam G . ( 2011). Causal role of the prefrontal cortex in top-down modulation of visual processing and working memory. Nature Neuroscience,14(5), 656-661. doi: 10.1038/nn.2773 URL

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