An fMRI-based neural signature of decisions to smoke cannabis

Neuropsychopharmacology

Volumn 40, Issue 12, 2015, Pages 2657-2665

  Bedi, Gillinder ^a,b   Lindquist, Martin A ^c   Haney, Margaret ^a,b  

^a New York Presbyterian Columbia University Medical Center   (United States)

^b NEW YORK STATE PSYCHIATRIC INSTITUTE   (United States)

^c JOHNS HOPKINS UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CANNABIS; OXYGEN;

ADULT; ANTERIOR INSULA; ARTICLE; BEHAVIOR ASSESSMENT; BOLD SIGNAL; CANNABIS SMOKING; CONTROLLED STUDY; CORPUS STRIATUM; COST; DATA ANALYSIS SOFTWARE; DECISION MAKING; DORSOLATERAL PREFRONTAL CORTEX; ECHO PLANAR IMAGING; FEMALE; FORCED CHOICE METHOD; FUNCTIONAL MAGNETIC RESONANCE IMAGING; FUNCTIONAL NEUROIMAGING; HUMAN; HUMAN EXPERIMENT; INFERIOR PARIETAL LOBULE; INSULA; MACHINE LEARNING; MALE; NERVE CELL; NORMAL HUMAN; NUCLEAR MAGNETIC RESONANCE SCANNER; POSTERIOR CINGULATE; POSTERIOR PARIETAL CORTEX; PRIORITY JOURNAL; PURCHASING; SUPERIOR FRONTAL GYRUS; ADOLESCENT; ANALYSIS OF VARIANCE; BLOOD; BRAIN; BRAIN MAPPING; DOSE RESPONSE; DRUG SEEKING BEHAVIOR; IMAGE PROCESSING; MIDDLE AGED; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; PATHOPHYSIOLOGY; PHYSIOLOGY; PSYCHOLOGY; RANDOMIZED CONTROLLED TRIAL; VASCULARIZATION; YOUNG ADULT;

ADOLESCENT; ADULT; ANALYSIS OF VARIANCE; BRAIN; BRAIN MAPPING; CANNABIS; CHOICE BEHAVIOR; DOSE-RESPONSE RELATIONSHIP, DRUG; DRUG-SEEKING BEHAVIOR; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; MARIJUANA SMOKING; MIDDLE AGED; OXYGEN; YOUNG ADULT;

EID: 84944352086     PISSN: 0893133X     EISSN: 1740634X     Source Type: Journal    
DOI: 10.1038/npp.2015.135     Document Type: Article

References (53)

1. Bickel WK, Johnson MW, Koffarnus MN, Mackillop J, Murphy JG (2014). The behavioral economics of substance use disorders: reinforcement pathologies and their repair. Annu Rev Clin Psychol 10: 641-677.
2. Bolla KI, Eldreth DA, Matochik JA, Cadet JL (2005). Neural substrates of faulty decision-making in abstinent marijuana users. NeuroImage 26: 480-492.
3. Clithero JA, Rangel A (2014). Informatic parcellation of the network involved in the computation of subjective value. Soc Cogn Affect Neurosci 9: 1289-1302.
4. Craig AD (2009). How do you feel-now? The anterior insula and human awareness. Nat Rev Neurosci 10: 59-70.
5. de Dios MA, Vaughan EL, Stanton CA, Niaura R (2009). Adolescent tobacco use and substance abuse treatment outcomes. J Subst Abuse Treat 37: 17-24.
6. Du YP, Dalwani M, Wylie K, Claus E, Tregellas JR (2007). Reducing susceptibility artifacts in fMRI using volume-selective z-shim compensation. Magn Reson Med 57: 396-404.
7. Editorial Board (2014). High time for advancing marijuana research. Nat Neurosci 17: 481.
8. Eisenberger NI (2012). The pain of social disconnection: examining the shared neural underpinnings of physical and social pain. Nat Rev Neurosci 13: 421-434.
9. Ersche KD, Barnes A, Jones PS, Morein-Zamir S, Robbins TW, Bullmore ET (2011). Abnormal structure of frontostriatal brain systems is associated with aspects of impulsivity and compulsivity in cocaine dependence. Brain 134: 2013-2024.
10. Everitt BJ, Robbins TW (2013). From the ventral to the dorsal striatum: devolving views of their roles in drug addiction. Neurosci Biobehav Rev 37: 1946-1954.
11. Foltin RW, Fischman MW, Pedroso JJ, Pearlson GD (1987). Marijuana and cocaine interactions in humans: cardiovascular consequences. Pharmacol Biochem Behav 28: 459-464.
12. Haney M, Bedi G, Cooper ZD, Glass A, Vosburg SK, Comer SD et al (2013a). Predictors of marijuana relapse in the human laboratory: robust impact of tobacco cigarette smoking status. Biol Psychiatry 73: 242-248.
13. Haney M, Cooper ZD, Bedi G, Vosburg SK, Comer SD, Foltin RW (2013b). Nabilone decreases marijuana withdrawal and a laboratory measure of marijuana relapse. Neuropsychopharmacology 38: 1557-1565.
14. Haney M, Spealman R (2008). Controversies in translational research: drug self-administration. Psychopharmacology 199: 403-419.
15. Hare T, Camerer C, Rangel A (2009). Self-control in decisionmaking involves modulation of the vmPFC valuation system. Science 324: 646-648.
16. Hyman SE (2007). The neurobiology of addiction: implications for voluntary control of behavior. Am J Bioeth 7: 8-11.
17. Johnson MW, Bickel WK, Baker F, Moore BA, Badger GJ, Budney AJ (2010). Delay discounting in current and former marijuana-dependent individuals. Exp Clin Psychopharmacol 18: 99-107.
18. Kable J, Glimcher P (2009). The neurobiology of decision: consensus and controversy. Neuron 63: 733-745.
19. Kennerley SW, Behrens TE, Wallis JD (2011). Double dissociation of value computations in orbitofrontal and anterior cingulate neurons. Nat Neurosci 14: 1581-1589.
20. Kim YT, Sohn H, Jeong J (2011). Delayed transition from ambiguous to risky decision making in alcohol dependence during Iowa Gambling Task. Psychiatry Res 190: 297-303.
21. Kjome KL, Lane SD, Schmitz JM, Green C, Ma L, Prasla I et al (2010). Relationship between impulsivity and decision making in cocaine dependence. Psychiatry Res 178: 299-304.
22. Kohn CS, Tsoh JY, Weisner CM (2003). Changes in smoking status among substance abusers: baseline characteristics and abstinence from alcohol and drugs at 12-month follow-up. Drug Alcohol Depend 69: 61-71.
23. Lane SD, Steinberg JL, Ma L, Hasan KM, Kramer LA, Zuniga EA et al (2010). Diffusion tensor imaging and decision making in cocaine dependence. PLoS One 5: e11591.
24. Leech R, Kamourieh S, Beckmann CF, Sharp DJ (2011). Fractionating the default mode network: distinct contributions of the ventral and dorsal posterior cingulate cortex to cognitive control. J Neurosci 31: 3217-3224.
25. Lesh TA, Niendam TA, Minzenberg MJ, Carter CS (2011). Cognitive control deficits in schizophrenia: mechanisms and meaning. Neuropsychopharmacology 36: 316-338.
26. Levy D, Glimcher PW (2011). Comparing apples and oranges: using reward-specific and reward-general subjective value representation in the brain. J Neurosci 31: 14693-14707.
27. Levy D, Glimcher PW (2012). The root of all value: a neural common currency for choice. Curr Opin Neurobiol 22: 1027-1038.
28. Levy I, Lazzaro S, Rutledge R, Glimcher PW (2011). Choice from non-choice: predicting consumer preferences from blood oxygenation level-dependent signals obtained from passive viewing. J Neurosci 31: 118-125.
29. Li X, Zhang F, Zhou Y, Zhang M, Wang X, Shen M (2013). Decision-making deficits are still present in heroin abusers after short- to long-term abstinence. Drug Alcohol Depend 130: 61-67.
30. Lindquist MA, Mejia A (2015). Zen and the art of multiple comparisons. Psychosom Med 77: 114-125.
31. Liu X, Hairston J, Schrier M, Fan J (2011). Common and distinct networks underlying reward valence and processing stages: a meta-analysis of functional neuroimaging studies. Neurosci Biobehav Rev 35: 1219-1236.
32. Louie K, Glimcher PW (2012). Efficient coding and the neural representation of value. Ann NY Acad Sci 1251: 13-32.
33. Mackillop J, Amlung MT, Acker J, Gray JC, Brown CL, Murphy JG et al (2014). The neuroeconomics of alcohol demand: an initial investigation of the neural correlates of alcohol cost-benefit decision making in heavy drinking men. Neuropsychopharmacology 39: 1988-1995.
34. MacKillop J, Amlung MT, Wier LM, David SP, Ray LA, Bickel WK et al (2012). The neuroeconomics of nicotine dependence: a preliminary functional magnetic resonance imaging study of delay discounting of monetary and cigarette rewards in smokers. Psychiatry Res 202: 20-29.
35. Mackillop J, Murphy JG, Tidey JW, Kahler CW, Ray LA, Bickel WK (2009). Latent structure of facets of alcohol reinforcement from a behavioral economic demand curve. Psychopharmacology 203: 33-40.
36. Moore BA, Budney AJ (2001). Tobacco smoking in marijuanadependent outpatients. J Subst Abuse 13: 583-596.
37. Murray JE, Belin D, Everitt BJ (2012). Double dissociation of the dorsomedial and dorsolateral striatal control over the acquisition and performance of cocaine seeking. Neuropsychopharmacology 37: 2456-2466.
38. Naqvi NH, Bechara A (2009). The hidden island of addiction: the insula. Trends Neurosci 32: 56-67.
39. Naqvi NH, Gaznick N, Tranel D, Bechara A (2014). The insula: a critical neural substrate for craving and drug seeking under conflict and risk. Ann NY Acad Sci 1316: 53-70.
40. Peters EN, Budney AJ, Carroll KM (2012). Clinical correlates of co-occurring cannabis and tobacco use: a systematic review. Addiction 107: 1404-1417.
41. Peters J, Buchel C (2009). Overlapping and distinct neural systems code for subjective value during intertemporal and risky decision making. J Neurosci 29: 15727-15734.
42. Raichle ME, MacLeod AM, Snyder AZ, Powers WJ, Gusnard DA, Shulman GL (2001). A default mode of brain function. Proc Natl Acad Sci USA 98: 676-682.
43. Redish AD, Jensen S, Johnson A (2008). A unified framework for addiction: vulnerabilities in the decision process. Behav Brain Sci 31: 415-487.
44. SAMHSA (2011). Results from the 2010 National Survey on Drug Use and Health: Summary of National FindingsIn NSDUH Series H-41. Substance Abuse and Mental Health Services Administration: Rockville, MD.
45. Sescousse G, Redoute J, Dreher JC (2010). The architecture of reward value coding in the human orbitofrontal cortex. J Neurosci 30: 13095-13104.
46. Stinson FS, Ruan WJ, Pickering R, Grant BF (2006). Cannabis use disorders in the USA: prevalence, correlates and co-morbidity. Psychol Med 36: 1447-1460.
47. Vaidya JG, Block RI, O'Leary DS, Ponto LB, Ghoneim MM, Bechara A (2012). Effects of chronic marijuana use on brain activity during monetary decision-making. Neuropsychopharmacology 37: 618-629.
48. Volkow ND, Baler RD, Goldstein RZ (2010). Addiction: pulling at the neural threads of social behaviors. Neuron 69: 599-602.
49. Wager TD, Atlas LY, Leotti LA, Rilling JK (2011). Predicting individual differences in placebo analgesia: contributions of brain activity during anticipation and pain experience. J Neurosci 31: 439-452.
50. Wager TD, Atlas LY, Lindquist MA, Roy M, Woo CW, Kross E (2013). An fMRI-based neurologic signature of physical pain. N Engl J Med 368: 1388-1397.
51. Wesley MJ, Hanlon CA, Porrino LJ (2011). Poor decision-making by chronic marijuana users is associated with decreased functional responsiveness to negative consequences. Psychiatry Res 191: 51-59.
52. Whitlow CT, Liguori A, Livengood LB, Hart SL, Mussat-Whitlow BJ, Lamborn CM et al (2004). Long-term heavy marijuana users make costly decisions on a gambling task. Drug Alcohol Depend 76: 107-111.
53. Wunderlich K, Dayan P, Dolan RJ (2012). Mapping value based planning and extensively trained choice in the human brain. Nat Neurosci 15: 786-791.