Skip to main content
Erschienen in: Current Psychiatry Reports 12/2014

01.12.2014 | Substance Use and Related Disorders (F Levin and E Dakwar, Section Editors)

Neuroimaging and Biomarkers in Addiction Treatment

verfasst von: Kathleen A. Garrison, Marc N. Potenza

Erschienen in: Current Psychiatry Reports | Ausgabe 12/2014

Einloggen, um Zugang zu erhalten

Abstract

Neuroimaging studies have made a significant contribution to the efforts to identify measurable indices, or biomarkers, of addictions and their treatments. Biomarkers in addiction treatment are needed to provide targets for treatment, detect treatment subgroups, predict treatment response, and broadly improve outcomes. Neuroimaging is important to biomarkers research as it relates neural circuits to both molecular mechanisms and behavior. A focus of recent efforts in neuroimaging in addiction has been to elucidate the neural correlates associated with dimensions of functioning in substance-use and related disorders, such as cue-reactivity, impulsivity, and cognitive control, among others. These dimensions of functioning have been related to addiction treatment outcomes and relapse, and therefore, a better understanding of these dimensions and their neural correlates may help to identify brain-behavior biomarkers of treatment response. This paper reviews recent neuroimaging studies that report potential biomarkers in addiction treatment related to cue-reactivity, impulsivity, and cognitive control, as well as recent advances in neuroimaging that may facilitate efforts to determine reliable biomarkers. This important initial work has begun to identify possible mediators and moderators of treatment response, and multiple promising indices are being tested.
Literatur
2.
Zurück zum Zitat De Gruttola VG, Clax P, DeMets DL, Downing GJ, Ellenberg SS, Friedman L, et al. Considerations in the evaluation of surrogate endpoints in clinical trials. Summary of a National Institutes of Health workshop. Control Clin Trials. 2001;22(5):485–502.CrossRefPubMed De Gruttola VG, Clax P, DeMets DL, Downing GJ, Ellenberg SS, Friedman L, et al. Considerations in the evaluation of surrogate endpoints in clinical trials. Summary of a National Institutes of Health workshop. Control Clin Trials. 2001;22(5):485–502.CrossRefPubMed
4.
5.
Zurück zum Zitat Drummond DC. What does cue-reactivity have to offer clinical research? Addiction. 2000;95 Suppl 2:S129–44.CrossRefPubMed Drummond DC. What does cue-reactivity have to offer clinical research? Addiction. 2000;95 Suppl 2:S129–44.CrossRefPubMed
8.
Zurück zum Zitat Laird AR, Fox PM, Price CJ, Glahn DC, Uecker AM, Lancaster JL, et al. ALE meta-analysis: controlling the false discovery rate and performing statistical contrasts. Hum Brain Mapp. 2005;25(1):155–64. doi:10.1002/hbm.20136.CrossRefPubMed Laird AR, Fox PM, Price CJ, Glahn DC, Uecker AM, Lancaster JL, et al. ALE meta-analysis: controlling the false discovery rate and performing statistical contrasts. Hum Brain Mapp. 2005;25(1):155–64. doi:10.​1002/​hbm.​20136.CrossRefPubMed
10.•
Zurück zum Zitat Chase HW, Eickhoff SB, Laird AR, Hogarth L. The neural basis of drug stimulus processing and craving: an activation likelihood estimation meta-analysis. Biol Psychiatry. 2011;70(8):785–93. doi:10.1016/j.biopsych.2011.05.025. Quantitative meta-analysis providing consensus across neuroimaging studies of cue-reactivity to drug and non-drug addiction-related cues and craving.CrossRefPubMed Chase HW, Eickhoff SB, Laird AR, Hogarth L. The neural basis of drug stimulus processing and craving: an activation likelihood estimation meta-analysis. Biol Psychiatry. 2011;70(8):785–93. doi:10.​1016/​j.​biopsych.​2011.​05.​025. Quantitative meta-analysis providing consensus across neuroimaging studies of cue-reactivity to drug and non-drug addiction-related cues and craving.CrossRefPubMed
15.•
Zurück zum Zitat Seo D, Lacadie CM, Tuit K, Hong KI, Constable RT, Sinha R. Disrupted ventromedial prefrontal function, alcohol craving, and subsequent relapse risk. JAMA Psychiatry. 2013;70(7):727–39. doi:10.1001/jamapsychiatry.2013.762. fMRI study reporting a potential brain biomarker of alcohol cue-reactivity prospectively related to treatment relapse.CrossRefPubMedCentralPubMed Seo D, Lacadie CM, Tuit K, Hong KI, Constable RT, Sinha R. Disrupted ventromedial prefrontal function, alcohol craving, and subsequent relapse risk. JAMA Psychiatry. 2013;70(7):727–39. doi:10.​1001/​jamapsychiatry.​2013.​762. fMRI study reporting a potential brain biomarker of alcohol cue-reactivity prospectively related to treatment relapse.CrossRefPubMedCentralPubMed
18.
Zurück zum Zitat LaConte SM, King-Casas B, Cinciripini PM, Eagleman DM, Versace F, Chiu PH. Modulating rt-fMRI neurofeedback interfaces via craving and control in chronic smokers. Neuroimage. 2009;47(Supplement 1):S45–S.CrossRef LaConte SM, King-Casas B, Cinciripini PM, Eagleman DM, Versace F, Chiu PH. Modulating rt-fMRI neurofeedback interfaces via craving and control in chronic smokers. Neuroimage. 2009;47(Supplement 1):S45–S.CrossRef
22.
Zurück zum Zitat Canterberry M, Hanlon CA, Hartwell KJ, Li X, Owens M, LeMatty T, et al. Sustained reduction of nicotine craving with real-time neurofeedback: exploring the role of severity of dependence. Nicotine Tob Res: Off J Soc Res Nicotine Tob. 2013;15(12):2120–4. doi:10.1093/ntr/ntt122.CrossRef Canterberry M, Hanlon CA, Hartwell KJ, Li X, Owens M, LeMatty T, et al. Sustained reduction of nicotine craving with real-time neurofeedback: exploring the role of severity of dependence. Nicotine Tob Res: Off J Soc Res Nicotine Tob. 2013;15(12):2120–4. doi:10.​1093/​ntr/​ntt122.CrossRef
27.
Zurück zum Zitat Stevens L, Verdejo-Garcia A, Goudriaan AE, Roeyers H, Dom G, Vanderplasschen W. Impulsivity as a vulnerability factor for poor addiction treatment outcomes: a review of neurocognitive findings among individuals with substance use disorders. J Subst Abuse Treat. 2014;47(1):58–72. doi:10.1016/j.jsat.2014.01.008.CrossRefPubMed Stevens L, Verdejo-Garcia A, Goudriaan AE, Roeyers H, Dom G, Vanderplasschen W. Impulsivity as a vulnerability factor for poor addiction treatment outcomes: a review of neurocognitive findings among individuals with substance use disorders. J Subst Abuse Treat. 2014;47(1):58–72. doi:10.​1016/​j.​jsat.​2014.​01.​008.CrossRefPubMed
28.
Zurück zum Zitat Loree AM, Lundahl LH, Ledgerwood DM. Impulsivity as a predictor of treatment outcome in substance use disorders: review and synthesis. Drug Alcohol Rev. 2014. doi:10.1111/dar.12132.PubMed Loree AM, Lundahl LH, Ledgerwood DM. Impulsivity as a predictor of treatment outcome in substance use disorders: review and synthesis. Drug Alcohol Rev. 2014. doi:10.​1111/​dar.​12132.PubMed
29.
33.
Zurück zum Zitat Martinez D, Carpenter KM, Liu F, Slifstein M, Broft A, Friedman AC, et al. Imaging dopamine transmission in cocaine dependence: link between neurochemistry and response to treatment. AJ Psychiatry. 2011;168(6):634–41. doi:10.1176/appi.ajp.2010.10050748.CrossRef Martinez D, Carpenter KM, Liu F, Slifstein M, Broft A, Friedman AC, et al. Imaging dopamine transmission in cocaine dependence: link between neurochemistry and response to treatment. AJ Psychiatry. 2011;168(6):634–41. doi:10.​1176/​appi.​ajp.​2010.​10050748.CrossRef
37.
Zurück zum Zitat Yip SW, DeVito EE, Kober H, Worhunsky PD, Carroll KM, Potenza MN. Pretreatment measures of brain structure and reward-processing brain function in cannabis dependence: an exploratory study of relationships with abstinence during behavioral treatment. Drug Alcohol Depend. 2014;140:33–41. doi:10.1016/j.drugalcdep.2014.03.031.CrossRefPubMed Yip SW, DeVito EE, Kober H, Worhunsky PD, Carroll KM, Potenza MN. Pretreatment measures of brain structure and reward-processing brain function in cannabis dependence: an exploratory study of relationships with abstinence during behavioral treatment. Drug Alcohol Depend. 2014;140:33–41. doi:10.​1016/​j.​drugalcdep.​2014.​03.​031.CrossRefPubMed
38.
40.
Zurück zum Zitat Carter CS, van Veen V. Anterior cingulate cortex and conflict detection: an update of theory and data. Cogn Affect Behav Neurosci. 2007;7(4):367–79.CrossRefPubMed Carter CS, van Veen V. Anterior cingulate cortex and conflict detection: an update of theory and data. Cogn Affect Behav Neurosci. 2007;7(4):367–79.CrossRefPubMed
42.
Zurück zum Zitat Luijten M, Machielsen MW, Veltman DJ, Hester R, de Haan L, Franken IH. Systematic review of ERP and fMRI studies investigating inhibitory control and error processing in people with substance dependence and behavioural addictions. J Psychiatry Neurosci. 2014;39(3):149–69.CrossRefPubMedCentralPubMed Luijten M, Machielsen MW, Veltman DJ, Hester R, de Haan L, Franken IH. Systematic review of ERP and fMRI studies investigating inhibitory control and error processing in people with substance dependence and behavioural addictions. J Psychiatry Neurosci. 2014;39(3):149–69.CrossRefPubMedCentralPubMed
45.
Zurück zum Zitat Worhunsky PD, Stevens MC, Carroll KM, Rounsaville BJ, Calhoun VD, Pearlson GD, et al. Functional brain networks associated with cognitive control, cocaine dependence, and treatment outcome. Psychol Addict Behav. 2013;27(2):477–88. doi:10.1037/a0029092.CrossRefPubMedCentralPubMed Worhunsky PD, Stevens MC, Carroll KM, Rounsaville BJ, Calhoun VD, Pearlson GD, et al. Functional brain networks associated with cognitive control, cocaine dependence, and treatment outcome. Psychol Addict Behav. 2013;27(2):477–88. doi:10.​1037/​a0029092.CrossRefPubMedCentralPubMed
47.•
Zurück zum Zitat Luo X, Zhang S, Hu S, Bednarski SR, Erdman E, Farr OM, et al. Error processing and gender-shared and -specific neural predictors of relapse in cocaine dependence. Brain. 2013;136(Pt 4):1231–44. doi:10.1093/brain/awt040. fMRI study reporting reduced activity in the dorsal anterior cingulate cortex during error processing that is related prospectively to cocaine relapse and earlier time to relapse.CrossRefPubMedCentralPubMed Luo X, Zhang S, Hu S, Bednarski SR, Erdman E, Farr OM, et al. Error processing and gender-shared and -specific neural predictors of relapse in cocaine dependence. Brain. 2013;136(Pt 4):1231–44. doi:10.​1093/​brain/​awt040. fMRI study reporting reduced activity in the dorsal anterior cingulate cortex during error processing that is related prospectively to cocaine relapse and earlier time to relapse.CrossRefPubMedCentralPubMed
49.
Zurück zum Zitat MacLeod CM. Half a century of research on the Stroop effect: an integrative review. Psychol Bull. 1991;109(2):163–203.CrossRefPubMed MacLeod CM. Half a century of research on the Stroop effect: an integrative review. Psychol Bull. 1991;109(2):163–203.CrossRefPubMed
50.
53.
Zurück zum Zitat Krishnan-Sarin S, Balodis IM, Kober H, Worhunsky PD, Liss T, Xu J, et al. An exploratory pilot study of the relationship between neural correlates of cognitive control and reduction in cigarette use among treatment-seeking adolescent smokers. Psychol Addict Behav. 2013;27(2):526–32. doi:10.1037/a0032479.CrossRefPubMedCentralPubMed Krishnan-Sarin S, Balodis IM, Kober H, Worhunsky PD, Liss T, Xu J, et al. An exploratory pilot study of the relationship between neural correlates of cognitive control and reduction in cigarette use among treatment-seeking adolescent smokers. Psychol Addict Behav. 2013;27(2):526–32. doi:10.​1037/​a0032479.CrossRefPubMedCentralPubMed
55.
57.
61.
Zurück zum Zitat Gordon EM, Devaney JM, Bean S, Vaidya CJ. Resting-state striato-frontal functional connectivity is sensitive to DAT1 genotype and predicts executive function. Cereb Cortex. 2013. doi:10.1093/cercor/bht229. Gordon EM, Devaney JM, Bean S, Vaidya CJ. Resting-state striato-frontal functional connectivity is sensitive to DAT1 genotype and predicts executive function. Cereb Cortex. 2013. doi:10.​1093/​cercor/​bht229.
62.
Zurück zum Zitat Muller VI, Langner R, Cieslik EC, Rottschy C, Eickhoff SB. Interindividual differences in cognitive flexibility: influence of gray matter volume, functional connectivity and trait impulsivity. Brain Struct Funct. 2014. doi:10.1007/s00429-014-0797-6. Muller VI, Langner R, Cieslik EC, Rottschy C, Eickhoff SB. Interindividual differences in cognitive flexibility: influence of gray matter volume, functional connectivity and trait impulsivity. Brain Struct Funct. 2014. doi:10.​1007/​s00429-014-0797-6.
66.•
Zurück zum Zitat Konova AB, Moeller SJ, Tomasi D, Volkow ND, Goldstein RZ. Effects of methylphenidate on resting-state functional connectivity of the mesocorticolimbic dopamine pathways in cocaine addiction. JAMA Psychiatry. 2013;70(8):857–68. doi:10.1001/jamapsychiatry.2013.1129. Resting state fMRI study of a pharmacological intervention for cocaine addiction demonstrating that changes in functional connectivity may be a potential mechanism of treatment effects.CrossRefPubMedCentralPubMed Konova AB, Moeller SJ, Tomasi D, Volkow ND, Goldstein RZ. Effects of methylphenidate on resting-state functional connectivity of the mesocorticolimbic dopamine pathways in cocaine addiction. JAMA Psychiatry. 2013;70(8):857–68. doi:10.​1001/​jamapsychiatry.​2013.​1129. Resting state fMRI study of a pharmacological intervention for cocaine addiction demonstrating that changes in functional connectivity may be a potential mechanism of treatment effects.CrossRefPubMedCentralPubMed
68.
69.•
Zurück zum Zitat Lerman C, Gu H, Loughead J, Ruparel K, Yang Y, Stein EA. Large-scale brain network coupling predicts acute nicotine abstinence effects on craving and cognitive function. JAMA Psychiatry. 2014;71(5):523–30. doi:10.1001/jamapsychiatry.2013.4091. Resting state fMRI connectivity study linking an index of large-scale network dynamics to craving and withdrawal during short-term abstinence, with implications for treatment.CrossRefPubMedCentralPubMed Lerman C, Gu H, Loughead J, Ruparel K, Yang Y, Stein EA. Large-scale brain network coupling predicts acute nicotine abstinence effects on craving and cognitive function. JAMA Psychiatry. 2014;71(5):523–30. doi:10.​1001/​jamapsychiatry.​2013.​4091. Resting state fMRI connectivity study linking an index of large-scale network dynamics to craving and withdrawal during short-term abstinence, with implications for treatment.CrossRefPubMedCentralPubMed
75.
Zurück zum Zitat Xu J, Kober H, Wang X, DeVito EE, Carroll KM, Potenza MN. Hippocampal volume mediates the relationship between measures of pre-treatment cocaine use and within-treatment cocaine abstinence. Drug Alcohol Depend. In press. Xu J, Kober H, Wang X, DeVito EE, Carroll KM, Potenza MN. Hippocampal volume mediates the relationship between measures of pre-treatment cocaine use and within-treatment cocaine abstinence. Drug Alcohol Depend. In press.
76.•
Zurück zum Zitat Ersche KD, Jones PS, Williams GB, Turton AJ, Robbins TW, Bullmore ET. Abnormal brain structure implicated in stimulant drug addiction. Science. 2012;335(6068):601–4. doi:10.1126/science.1214463. Diffusion tensor imaging study demonstrating common structural abnormalities in brain regions implicated in self-control in drug-addicted individuals and their non-addicted siblings, suggesting a potential neurocognitive endophenotype for drug addiction.CrossRefPubMed Ersche KD, Jones PS, Williams GB, Turton AJ, Robbins TW, Bullmore ET. Abnormal brain structure implicated in stimulant drug addiction. Science. 2012;335(6068):601–4. doi:10.​1126/​science.​1214463. Diffusion tensor imaging study demonstrating common structural abnormalities in brain regions implicated in self-control in drug-addicted individuals and their non-addicted siblings, suggesting a potential neurocognitive endophenotype for drug addiction.CrossRefPubMed
77.
Zurück zum Zitat Wagner M, Schulze-Rauschenbach S, Petrovsky N, Brinkmeyer J, von der Goltz C, Grunder G, et al. Neurocognitive impairments in non-deprived smokers—results from a population-based multi-center study on smoking-related behavior. Addict Biol. 2013;18(4):752–61. doi:10.1111/j.1369-1600.2011.00429.x.CrossRefPubMed Wagner M, Schulze-Rauschenbach S, Petrovsky N, Brinkmeyer J, von der Goltz C, Grunder G, et al. Neurocognitive impairments in non-deprived smokers—results from a population-based multi-center study on smoking-related behavior. Addict Biol. 2013;18(4):752–61. doi:10.​1111/​j.​1369-1600.​2011.​00429.​x.CrossRefPubMed
78.
79.
81.
Zurück zum Zitat Wager TD, Lindquist M, Kaplan L. Meta-analysis of functional neuroimaging data: current and future directions. Soc Cogn Affect Neurosci. 2007;2(2):150–8.CrossRefPubMedCentralPubMed Wager TD, Lindquist M, Kaplan L. Meta-analysis of functional neuroimaging data: current and future directions. Soc Cogn Affect Neurosci. 2007;2(2):150–8.CrossRefPubMedCentralPubMed
Metadaten
Titel
Neuroimaging and Biomarkers in Addiction Treatment
verfasst von
Kathleen A. Garrison
Marc N. Potenza
Publikationsdatum
01.12.2014
Verlag
Springer US
Erschienen in
Current Psychiatry Reports / Ausgabe 12/2014
Print ISSN: 1523-3812
Elektronische ISSN: 1535-1645
DOI
https://doi.org/10.1007/s11920-014-0513-5

Weitere Artikel der Ausgabe 12/2014

Current Psychiatry Reports 12/2014 Zur Ausgabe

Psychiatry in the Digital Age (JS Luo, Section Editor)

The Use of Electronic Games in Therapy: a Review with Clinical Implications

Women’s Mental Health (D Rubinow, Section Editor)

Hormone Replacement Therapy in the Treatment of Perimenopausal Depression

Psychiatry in the Digital Age (JS Luo, Section Editor)

Professional Social Networking

Update Psychiatrie

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.