Corrigendum: “Individualized relapse prediction: Personality measures and striatal and insular activity during reward-processing robustly predict relapse” (Drug and Alcohol Dependence (2015) 152 (93-101) (S0376871615002148) (10.1016/j.drugalcdep.2015.04.018));Individualized relapse prediction: Personality measures and striatal and insular activity during reward-processing robustly predict relapse

Drug and Alcohol Dependence

Volumn 152, Issue , 2015, Pages 93-101

  Gowin, Joshua L ^a,b   Ball, Tali M ^a   Wittmann, Marc ^a,c   Tapert, Susan F ^a,d   Paulus, Martin P ^a,d,e  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b NATIONAL INSTITUTE ON ALCOHOL ABUSE AND ALCOHOLISM   (United States)

^c Department of Empirical and Analytical Psychophysics   (Germany)

^d VA SAN DIEGO HEALTHCARE SYSTEM   (United States)

^e LAUREATE INSTITUTE FOR BRAIN RESEARCH   (United States)

Author keywords

Methamphetamine dependence; Neuroimaging; Relapse; Reward; Risk prediction; Striatum

Indexed keywords

METHAMPHETAMINE;

ABSTINENCE; ADULT; ARTICLE; CONTROLLED STUDY; CORPUS STRIATUM; EXERCISE; FEMALE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; INSULA; MAJOR CLINICAL STUDY; MALE; MEASUREMENT ACCURACY; METHAMPHETAMINE DEPENDENCE; NARCOTICS ANONYMOUS; PERSONALITY; PREDICTION; PRIORITY JOURNAL; RANDOM FOREST; RECEIVER OPERATING CHARACTERISTIC; RELAPSE; REWARD; SENSITIVITY AND SPECIFICITY; AMPHETAMINE-RELATED DISORDERS; BIOLOGICAL MODEL; BRAIN CORTEX; DRUG DEPENDENCE; HEMISPHERIC DOMINANCE; NEOSTRIATUM; NEUROIMAGING; NEUROPSYCHOLOGICAL TEST; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOPHYSIOLOGY; PERSONALITY TEST; PREDICTIVE VALUE; PSYCHOLOGY; RECURRENT DISEASE; STATISTICAL MODEL;

ADULT; AMPHETAMINE-RELATED DISORDERS; CEREBRAL CORTEX; FEMALE; FUNCTIONAL LATERALITY; HUMANS; LIKELIHOOD FUNCTIONS; MAGNETIC RESONANCE IMAGING; MALE; METHAMPHETAMINE; MODELS, NEUROLOGICAL; NEOSTRIATUM; NEUROIMAGING; NEUROPSYCHOLOGICAL TESTS; PERSONALITY; PERSONALITY TESTS; PREDICTIVE VALUE OF TESTS; RECURRENCE; REWARD; SUBSTANCE-RELATED DISORDERS;

EID: 84930478704     PISSN: 03768716     EISSN: 18790046     Source Type: Journal    
DOI: 10.1016/j.drugalcdep.2017.03.003     Document Type: Erratum

References (58)

1. Baker A., Boggs T.G., Lewin T.J. Randomized controlled trial of brief cognitive-behavioural interventions among regular users of amphetamine. Addiction 2001, 96:1279-1287.
2. Ball T.M., Stein M.B., Ramsawh H.J., Campbell-Sills L., Paulus M.P. Single-subject anxiety treatment outcome prediction using functional neuroimaging. Neuropsychopharmacology 2013, 39:1254-1261.
3. Balodis I.M., Potenza M.N. Anticipatory reward processing in addicted populations: a focus on the Monetary Incentive Delay Task. Biol. Psychiatry 2015, 77:434-444.
4. Bechara A. Disturbances of emotion regulation after focal brain lesions. Intl. Rev. Neurobiol. 2004, 62:159-193.
5. Beck A.T., Ward C.H., Mendelson M., Mock J., Erbaugh J. An inventory for measuring depression. Arch. Gen. Psychiatry 1961, 4:561-571.
6. Berridge K.C. From prediction error to incentive salience: mesolimbic computation of reward motivation. Eur. J. Neurosci. 2012, 35:1124-1143.
7. Blum K., Gardner E., Oscar-Berman M., Gold M. "Liking" and "wanting" linked to Reward Deficiency Syndrome (RDS): hypothesizing differential responsivity in brain reward circuitry. Curr. Pharm. Des. 2012, 18:113-118.
8. Breiman L. Random forests. Mach. Learn. 2001, 45:5-32.
9. Breiman L., Cutler A. Random Forests 2001, https://www.stat.berkeley.edu/~breiman/RandomForests/cc_home.htm (accessed on 2/25/15).
10. Brown J., Kranzler H.R., Del Boca F.K. Self-reports by alcohol and drug abuse inpatients: factors affecting reliability and validity. Br. J. Addict. 1992, 87:1013-1024.
11. Bucholz K.K., Cadoret R., Cloninger C.R., Dinwiddie S.H., Hesselbrock V.M., Nurnberger J.I., Reich T., Schmidt I., Schuckit M.A. A new, semi-structured psychiatric interview for use in genetic linkage studies: a report on the reliability of the SSAGA. J. Stud. Alcohol 1994, 55:149-158.
12. Cloninger C.R. A systematic method for clinical description and classification of personality variants. A proposal. Arch. Gen. Psychiatry 1987, 44:573-588.
13. Connor J.P., Symons M., Feeney G.F., Young R.M., Wiles J. The application of machine learning techniques as an adjunct to clinical decision making in alcohol dependence treatment. Subst. Use Misuse 2007, 42:2193-2206.
14. Cox R.W. AFNI: software for analysis and visualization of functional magnetic resonance neuroimages. Comput. Biomed. Res. 1996, 29:162-173.
15. Craig A.D. How do you feel - now? The anterior insula and human awareness. Nat. Rev. Neurosci. 2009, 10:59-70.
16. Ernst M., Bolla K., Mouratidis M., Contoreggi C., Matochik J.A., Kurian V., Cadet J.L., Kimes A.S., London E.D. Decision-making in a risk-taking task: a PET study. Neuropsychopharmacology 2002, 26:682-691.
17. Fonzo G.A., Flagan T.M., Sullivan S., Allard C.B., Grimes E.M., Simmons A.N., Paulus M.P., Stein M.B. Neural functional and structural correlates of childhood maltreatment in women with intimate-partner violence-related posttraumatic stress disorder. Psychiatry Res. 2013, 211:93-103.
18. Genuer R., Poggi J.-M., Tuleau-Malot C. Variable selection using random forests. Pattern Recognit. Lett. 2010, 31:2225-2236.
19. Gowin J.L., Harle K.M., Stewart J.L., Wittmann M., Tapert S.F., Paulus M.P. Attenuated insular processing during risk predicts relapse in early abstinent methamphetamine-dependent individuals. Neuropsychopharmacology 2014, 39:1379-1387.
20. Gowin J.L., Mackey S., Paulus M.P. Altered risk-related processing in substance users: imbalance of pain and gain. Drug Alcohol Depend. 2013, 132:13-21.
21. Gowin J.L., Stewart J.L., May A.C., Ball T.M., Wittmann M., Tapert S.F., Paulus M.P. Altered cingulate and insular cortex activation during risk-taking in methamphetamine dependence: losses lose impact. Addiction 2014, 109:237-247.
22. Hesselbrock M., Easton C., Bucholz K.K., Schuckit M., Hesselbrock V. A validity study of the SSAGA - a comparison with the SCAN. Addiction 1999, 94:1361-1370.
23. Hunt W.A., Barnett L.W., Branch L.G. Relapse rates in addiction programs. J. Clin. Psychol. 1971, 27:455-456.
24. Ihssen N., Cox W.M., Wiggett A., Fadardi J.S., Linden D.E. Differentiating heavy from light drinkers by neural responses to visual alcohol cues and other motivational stimuli. Cereb. Cortex 2011, 21:1408-1415.
25. Irvin J.E., Bowers C.A., Dunn M.E., Wang M.C. Efficacy of relapse prevention: a meta-analytic review. J. Consult Clin. Psychol. 1999, 67:563-570.
26. Janes A.C., Pizzagalli D.A., Richardt S., Frederick Bde B., Holmes A.J., Sousa J., Fava M., Evins A.E., Kaufman M.J. Neural substrates of attentional bias for smoking-related cues: an FMRI study. Neuropsychopharmacology 2010, 35:2339-2345.
27. Jia Z., Worhunsky P.D., Carroll K.M., Rounsaville B.J., Stevens M.C., Pearlson G.D., Potenza M.N. An initial study of neural responses to monetary incentives as related to treatment outcome in cocaine dependence. Biol. Psychiatry 2011, 70:553-560.
28. Knutson B., Heinz A. Probing psychiatric symptoms with the monetary incentive delay task. Biol. Psychiatry 2015, 77:418-420.
29. Konova A.B., Moeller S.J., Tomasi D., Parvaz M.A., Alia-Klein N., Volkow N.D., Goldstein R.Z. Structural and behavioral correlates of abnormal encoding of money value in the sensorimotor striatum in cocaine addiction. Eur. J. Neursci. 2012, 36:2979-2988.
30. Koob G.F. Theoretical frameworks and mechanistic aspects of alcohol addiction: alcohol addiction as a reward deficit disorder. Curr. Top. Behav. Neurosci. 2013, 13:3-30.
31. Kosten T.R., O'Connor P.G. Management of drug and alcohol withdrawal. New Engl. J. Med. 2003, 348:1786-1795.
32. Lancaster T., Hajek P., Stead L.F., West R., Jarvis M.J. Prevention of relapse after quitting smoking: a systematic review of trials. Arch. Intern. Med. 2006, 166:828-835.
33. Leyton M., Vein P. Striatal ups and downs: their roles in vulnerability to addictions in humans. Neurosci. Biobehav. Rev. 2013, 37:1999-2014.
34. Limbrick-Oldfield E.H., van Holst R.J., Clark L. Fronto-striatal dysregulation in drug addiction and pathological gambling: consistent inconsistencies?. NeuroImage Clin. 2013, 2:385-393.
35. May A.C., Stewart J.L., Migliorini R., Tapert S.F., Paulus M.P. Methamphetamine dependent individuals show attenuated brain response to pleasant interoceptive stimuli. Drug Alcohol Depend. 2013, 131:238-246.
36. McCrae R.R., Costa P.T. A contemplated revision of the NEO Five-Factor Inventory. Personal. Individ. Differ. 2004, 36:587-596.
37. Mclellan A.T., Alterman A.I., Metzger D.S., Grissom G.R., Woody G.E., Luborsky L., Obrien C.P. Similarity of outcome predictors across opiate, cocaine, and alcohol treatments - role of treatment services. J. Consult. Clin. Psychol. 1994, 62:1141-1158.
38. McLellan A.T., Lewis D.C., O'Brien C.P., Kleber H.D. Drug dependence, a chronic medical illness: implications for treatment, insurance, and outcomes evaluation. JAMA 2000, 284:1689-1695.
39. National Institute of Drug Abuse Principles of Drug Addiction Treatment: A Research Based Guide 1999, National Institutes of Health, Bethesda, MD.
40. Nicodemus K.K., Callicott J.H., Higier R.G., Luna A., Nixon D.C., Lipska B.K., Vakkalanka R., Giegling I., Rujescu D., St Clair D., Muglia P., Shugart Y.Y., Weinberger D.R. Evidence of statistical epistasis between DISC1, CIT and NDEL1 impacting risk for schizophrenia: biological validation with functional neuroimaging. Hum. Genet. 2010, 127:441-452.
41. Patton J.H., Stanford M.S., Barratt E.S. Factor structure of the Barratt impulsiveness scale. J. Clin. Psychol. 1995, 51:768-774.
42. Paulus M.P., Rogalsky C., Simmons A., Feinstein J.S., Stein M.B. Increased activation in the right insula during risk-taking decision making is related to harm avoidance and neuroticism. Neuroimage 2003, 19:1439-1448.
43. Paulus M.P., Tapert S.F., Schuckit M.A. Neural activation patterns of methamphetamine-dependent subjects during decision making predict relapse. Arch. Gen. Psychiatry 2005, 62:761-768.
44. Peters J., Bromberg U., Schneider S., Brassen S., Menz M., Banaschewski T., Conrod P.J., Flor H., Gallinat J., Garavan H., Heinz A., Itterman B., Lathrop M., Martinot J.L., Paus T., Poline J.B., Robbins T.W., Rietschel M., Smolka M., Strohle A., Struve M., Loth E., Schumann G., Buchel C. Lower ventral striatal activation during reward anticipation in adolescent smokers. Am. J. Psychiatry 2011, 168:540-549.
45. Pierucci-Lagha A., Gelernter J., Feinn R., Cubells J.F., Pearson D., Pollastri A., Farrer L., Kranzler H.R. Diagnostic reliability of the Semi-structured Assessment for Drug Dependence and Alcoholism (SSADDA). Drug Alcohol Depend. 2005, 80:303-312.
46. Schmitz J.M., Stotts A.L., Rhoades H.M., Grabowski J. Naltrexone and relapse prevention treatment for cocaine-dependent patients. Addict. Behav. 2001, 26:167-180.
47. Schouw M.L., De Ruiter M.B., Kaag A.M., van den Brink W., Lindauer R.J., Reneman L. Dopaminergic dysfunction in abstinent dexamphetamine users: results from a pharmacological fMRI study using a reward anticipation task and a methylphenidate challenge. Drug Alcohol Depend. 2013, 130:52-60.
48. Stewart J.L., Connolly C.G., May A.C., Tapert S.F., Wittmann M., Paulus M.P. Striatum and insula dysfunction during reinforcement learning differentiates abstinent and relapsed methamphetamine-dependent individuals. Addiction 2014, 109:460-471.
49. Strobl C., Malley J., Tutz G. An introduction to recursive partitioning: rationale, application, and characteristics of classification and regression trees, bagging, and random forests. Psychol. Methods 2009, 14:323-348.
50. Talairach J., Tournoux P. Co-Planar Stereotaxic Atlas of the Human Brain: 3-Dimensional Proportional System: An Approach to Cerebral Imaging 1988, Georg Thieme, Stuttgart, New York.
51. Uttl B. North American Adult Reading Test: age norms, reliability, and validity. J. Clin. Exp. Neuropsychol. 2002, 24:1123-1137.
52. Volkow N.D., Baler R.D. Brain imaging biomarkers to predict relapse in alcohol addiction. JAMA Psychiatry 2013, 70:661-663.
53. Volkow N.D., Fowler J.S. Addiction, a disease of compulsion and drive: involvement of the orbitofrontal cortex. Cereb. Cortex 2000, 10:318-325.
54. Volkow N.D., Fowler J.S., Wang G.J. Role of dopamine in drug reinforcement and addiction in humans: results from imaging studies. Behav. Pharmacol. 2002, 13:355-366.
55. Weinstein L., Radano T.A., Jack T., Kalina P., Eberhardt J.S. Application of multivariate probabilistic (Bayesian) networks to substance use disorder risk stratification and cost estimation. Perspect. Health Inf. Manag. 2009, 6:1b. AHIMA, American Health Information Management Association.
56. Whelan R., Garavan H. When optimism hurts: inflated predictions in psychiatric neuroimaging. Biol. Psychiatry 2013, 75:746-748.
57. Wittmann M., Leland D.S., Paulus M.P. Time and decision making: differential contribution of the posterior insular cortex and the striatum during a delay discounting task. Exp. Brain Res. 2007, 179:643-653.
58. Zuckerman M. Item revisions in the Sensation Seeking Scale form V (SSS-V). Personal. Individ. Differ. 1996, 20:515.