Brain networks underlying vulnerability and resilience to drug addiction

. 2020 Jun 30 ; 117 (26) : 15253-15261. [epub] 20200615

Jazyk angličtina Země Spojené státy americké Médium print-electronic

Typ dokumentu časopisecké články, práce podpořená grantem

Perzistentní odkaz   https://www.medvik.cz/link/pmid32541059

Grantová podpora
G0001354 Medical Research Council - United Kingdom
Department of Health - United Kingdom
G0701497 Medical Research Council - United Kingdom
G1000183 Medical Research Council - United Kingdom
105602/Z/14/Z Wellcome Trust - United Kingdom
Wellcome Trust - United Kingdom
MC_G0802534 Medical Research Council - United Kingdom
104631/Z/14/Z Wellcome Trust - United Kingdom

Regular drug use can lead to addiction, but not everyone who takes drugs makes this transition. How exactly drugs of abuse interact with individual vulnerability is not fully understood, nor is it clear how individuals defy the risks associated with drugs or addiction vulnerability. We used resting-state functional MRI (fMRI) in 162 participants to characterize risk- and resilience-related changes in corticostriatal functional circuits in individuals exposed to stimulant drugs both with and without clinically diagnosed drug addiction, siblings of addicted individuals, and control volunteers. The likelihood of developing addiction, whether due to familial vulnerability or drug use, was associated with significant hypoconnectivity in orbitofrontal and ventromedial prefrontal cortical-striatal circuits-pathways critically implicated in goal-directed decision-making. By contrast, resilience against a diagnosis of substance use disorder was associated with hyperconnectivity in two networks involving 1) the lateral prefrontal cortex and medial caudate nucleus and 2) the supplementary motor area, superior medial frontal cortex, and putamen-brain circuits respectively implicated in top-down inhibitory control and the regulation of habits. These findings point toward a predisposing vulnerability in the causation of addiction, related to impaired goal-directed actions, as well as countervailing resilience systems implicated in behavioral regulation, and may inform novel strategies for therapeutic and preventative interventions.

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Wagner F. A., Anthony J. C., From first drug use to drug dependence; developmental periods of risk for dependence upon marijuana, cocaine, and alcohol. Neuropsychopharmacology 26, 479–488 (2002). PubMed

American Psychiatric Association , Diagnostic and Statistical Manual of Mental Disorders: DSM-5, (American Psychiatric Association, Washington, D.C., 2013).

Koob G. F., Volkow N. D., Neurocircuitry of addiction. Neuropsychopharmacology 35, 217–238 (2010). PubMed PMC

Merikangas K. R. et al. ., Familial transmission of substance use disorders. Arch. Gen. Psychiatry 55, 973–979 (1998). PubMed

Hartz S. M., Bierut L. J., Genetics of addictions. Clin. Lab. Med. 30, 847–864 (2010). PubMed PMC

Zimić J. I., Jukić V., Familial risk factors favoring drug addiction onset. J. Psychoactive Drugs 44, 173–185 (2012). PubMed

Fletcher D., Sarkar M., Psychological resilience a review and critique of definitions, concepts, and theory. Eur. Psychol. 18, 12–23 (2013).

Rudzinski K., McDonough P., Gartner R., Strike C., Is there room for resilience? A scoping review and critique of substance use literature and its utilization of the concept of resilience. Subst. Abuse Treat. Prev. Policy 12, 41 (2017). PubMed PMC

Russo S. J., Murrough J. W., Han M.-H., Charney D. S., Nestler E. J., Neurobiology of resilience. Nat. Neurosci. 15, 1475–1484 (2012). PubMed PMC

Burt K. B. et al. .; IMAGEN Consortium , Structural brain correlates of adolescent resilience. J. Child Psychol. Psychiatry 57, 1287–1296 (2016). PubMed

Cousijn J., Luijten M., Feldstein Ewing S. W., Adolescent resilience to addiction: A social plasticity hypothesis. Lancet Child Adolesc. Health 2, 69–78 (2018). PubMed PMC

Tapert S. F., Brown S. A., Substance dependence, family history of alcohol dependence and neuropsychological functioning in adolescence. Addiction 95, 1043–1053 (2000). PubMed

Kumar R., Kumar K. J., Benegal V., Cognitive and behavioural dispositions in offspring at high risk for alcoholism. Asian J. Psychiatr. 35, 38–44 (2018). PubMed

Ersche K. D. et al. ., Cognitive dysfunction and anxious-impulsive personality traits are endophenotypes for drug dependence. Am. J. Psychiatry 169, 926–936 (2012). PubMed PMC

Gillen R., Hesselbrock V., Cognitive functioning, ASP, and family history of alcoholism in young men at risk for alcoholism. Alcohol. Clin. Exp. Res. 16, 206–214 (1992). PubMed

Morein-Zamir S., Simon Jones P., Bullmore E. T., Robbins T. W., Ersche K. D., Prefrontal hypoactivity associated with impaired inhibition in stimulant-dependent individuals but evidence for hyperactivation in their unaffected siblings. Neuropsychopharmacology 38, 1945–1953 (2013). PubMed PMC

Just A. L. et al. ., Effects of familial risk and stimulant drug use on the anticipation of monetary reward: An fMRI study. Transl. Psychiatry 9, 65 (2019). PubMed PMC

DeVito E. E. et al. ., Neural correlates of impulsivity in healthy males and females with family histories of alcoholism. Neuropsychopharmacology 38, 1854–1863 (2013). PubMed PMC

Parker H., Williams L., Aldridge J., The normalization of “sensible” recreational drug use: Further evidence from the north west England longitudinal study. Sociol. J. Br. Sociol. Assoc. 36, 941–964 (2002).

White J., Batty G. D., Intelligence across childhood in relation to illegal drug use in adulthood: 1970 British cohort study. J. Epidemiol. Community Health 66, 767–774 (2012). PubMed

Harrison L. D., Cocaine using careers in perspective. Addict. Res. 2, 1–20 (1994).

Smith D. G., Simon Jones P., Bullmore E. T., Robbins T. W., Ersche K. D., Enhanced orbitofrontal cortex function and lack of attentional bias to cocaine cues in recreational stimulant users. Biol. Psychiatry 75, 124–131 (2014). PubMed

Morein-Zamir S., Simon Jones P., Bullmore E. T., Robbins T. W., Ersche K. D., Take it or leave it: Prefrontal control in recreational cocaine users. Transl. Psychiatry 5, e582 (2015). PubMed PMC

Berke J. D., Hyman S. E., Addiction, dopamine, and the molecular mechanisms of memory. Neuron 25, 515–532 (2000). PubMed

Burton A. C., Nakamura K., Roesch M. R., From ventral-medial to dorsal-lateral striatum: Neural correlates of reward-guided decision-making. Neurobiol. Learn. Mem. 117, 51–59 (2015). PubMed PMC

Everitt B. J., Robbins T. W., Neural systems of reinforcement for drug addiction: From actions to habits to compulsion. Nat. Neurosci. 8, 1481–1489 (2005). PubMed

Jentsch J. D., Taylor J. R., Impulsivity resulting from frontostriatal dysfunction in drug abuse: Implications for the control of behavior by reward-related stimuli. Pschopharmacology (Berl.) 146, 373–390 (1999). PubMed

Haber S. N., Knutson B., The reward circuit: Linking primate anatomy and human imaging. Neuropsychopharmacology 35, 4–26 (2010). PubMed PMC

de Wit S. et al. ., Corticostriatal connectivity underlies individual differences in the balance between habitual and goal-directed action control. J. Neurosci. 32, 12066–12075 (2012). PubMed PMC

Di Martino A. et al. ., Functional connectivity of human striatum: A resting state FMRI study. Cereb. Cortex 18, 2735–2747 (2008). PubMed

Haber S. N., The place of dopamine in the cortico-basal ganglia circuit. Neuroscience 282, 248–257 (2014). PubMed PMC

Redonnet B., Chollet A., Fombonne E., Bowes L., Melchior M., Tobacco, alcohol, cannabis and other illegal drug use among young adults: The socioeconomic context. Drug Alcohol Depend. 121, 231–239 (2012). PubMed

Swendsen J. et al. ., Socio-demographic risk factors for alcohol and drug dependence: The 10-year follow-up of the national comorbidity survey. Addiction 104, 1346–1355 (2009). PubMed PMC

Franken I. H. A., Hendriksa V. M., van den Brink W., Initial validation of two opiate craving questionnaires the obsessive compulsive drug use scale and the desires for drug questionnaire. Addict. Behav. 27, 675–685 (2002). PubMed

McNamee D., Liljeholm M., Zika O., O’Doherty J. P., Characterizing the associative content of brain structures involved in habitual and goal-directed actions in humans: A multivariate FMRI study. J. Neurosci. 35, 3764–3771 (2015). PubMed PMC

Aron A. R., Robbins T. W., Poldrack R. A., Inhibition and the right inferior frontal cortex. Trends Cogn. Sci. (Regul. Ed.) 8, 170–177 (2004). PubMed

Bogdanov M., Timmermann J. E., Gläscher J., Hummel F. C., Schwabe L., Causal role of the inferolateral prefrontal cortex in balancing goal-directed and habitual control of behavior. Sci. Rep. 8, 9382 (2018). PubMed PMC

Horga G. et al. ., Changes in corticostriatal connectivity during reinforcement learning in humans. Hum. Brain Mapp. 36, 793–803 (2015). PubMed PMC

Rushworth M. F. S., Walton M. E., Kennerley S. W., Bannerman D. M., Action sets and decisions in the medial frontal cortex. Trends Cogn. Sci. (Regul. Ed.) 8, 410–417 (2004). PubMed

Balleine B. W., Killcross A. S., Dickinson A., The effect of lesions of the basolateral amygdala on instrumental conditioning. J. Neurosci. 23, 666–675 (2003). PubMed PMC

Corbit L. H., Balleine B. W., The role of prelimbic cortex in instrumental conditioning. Behav. Brain Res. 146, 145–157 (2003). PubMed

Ostlund S. B., Balleine B. W., Lesions of medial prefrontal cortex disrupt the acquisition but not the expression of goal-directed learning. J. Neurosci. 25, 7763–7770 (2005). PubMed PMC

Tanabe J. et al. ., Reduced neural tracking of prediction error in substance-dependent individuals. Am. J. Psychiatry 170, 1356–1363 (2013). PubMed PMC

Fishbein D. H. et al. ., Risky decision making and the anterior cingulate cortex in abstinent drug abusers and nonusers. Brain Res. Cogn. Brain Res. 23, 119–136 (2005). PubMed

Ersche K. D. et al. ., Abnormal frontal activations related to decision-making in current and former amphetamine and opiate dependent individuals. Psychopharmacology (Berl.) 180, 612–623 (2005). PubMed PMC

Ersche K. D. et al. ., Distinctive personality traits and neural correlates associated with stimulant drug use versus familial risk of stimulant dependence. Biol. Psychiatry 74, 137–144 (2013). PubMed PMC

Murray J. E. et al. ., Basolateral and central amygdala differentially recruit and maintain dorsolateral striatum-dependent cocaine-seeking habits. Nat. Commun. 6, 10088 (2015). PubMed PMC

Jia Z. et al. ., An initial study of neural responses to monetary incentives as related to treatment outcome in cocaine dependence. Biol. Psychiatry 70, 553–560 (2011). PubMed PMC

Yip S. W. et al. ., Anticipatory reward processing among cocaine-dependent individuals with and without concurrent methadone-maintenance treatment: Relationship to treatment response. Drug Alcohol Depend. 166, 134–142 (2016). PubMed PMC

Craig A. D., How do you feel—now? The anterior insula and human awareness. Nat. Rev. Neurosci. 10, 59–70 (2009). PubMed

Feinstein J. S., Goldin P. R., Stein M. B., Brown G. G., Paulus M. P., Habituation of attentional networks during emotion processing. Neuroreport 13, 1255–1258 (2002). PubMed

Mobascher A. et al. ., Brain activation patterns underlying fast habituation to painful laser stimuli. Int. J. Psychophysiol. 75, 16–24 (2010). PubMed

McHugh M. J. et al. ., Striatal-insula circuits in cocaine addiction: Implications for impulsivity and relapse risk. Am. J. Drug Alcohol Abuse 39, 424–432 (2013). PubMed

Breiter H. C. et al. ., Acute effects of cocaine on human brain activity and emotion. Neuron 19, 591–611 (1997). PubMed

Risinger R. C. et al. ., Neural correlates of high and craving during cocaine self-administration using BOLD fMRI. Neuroimage 26, 1097–1108 (2005). PubMed

Naqvi N. H., Bechara A., The insula and drug addiction: An interoceptive view of pleasure, urges, and decision-making. Brain Struct. Funct. 214, 435–450 (2010). PubMed PMC

Paulus M. P., Tapert S. F., Schulteis G., The role of interoception and alliesthesia in addiction. Pharmacol. Biochem. Behav. 94, 1–7 (2009). PubMed PMC

Bechara A., Damasio H., Decision-making and addiction (part I): Impaired activation of somatic states in substance dependent individuals when pondering decisions with negative future consequences. Neuropsychologia 40, 1675–1689 (2002). PubMed

Dunn B. D. et al. ., Listening to your heart. How interoception shapes emotion experience and intuitive decision making. Psychol. Sci. 21, 1835–1844 (2010). PubMed

Damasio A. R., Descartes’ Error: Emotion, Reason, and the Human Brain, (Grosset/Pullman, New York, 1994).

Hinson J. M., Jameson T. L., Whitney P., Somatic markers, working memory, and decision making. Cogn. Affect. Behav. Neurosci. 2, 341–353 (2002). PubMed

Ersche K. D. et al. ., Carrots and sticks fail to change behavior in cocaine addiction. Science 352, 1468–1471 (2016). PubMed PMC

Thompson L. L. et al. ., Negative reinforcement learning is affected in substance dependence. Drug Alcohol Depend. 123, 84–90 (2012). PubMed PMC

Hillary F. G., Grafman J. H., Injured brains and adaptive networks: The benefits and costs of hyperconnectivity. Trends Cogn. Sci. (Regul. Ed.) 21, 385–401 (2017). PubMed PMC

Xiong J. et al. ., Long-term motor training induced changes in regional cerebral blood flow in both task and resting states. Neuroimage 45, 75–82 (2009). PubMed PMC

Pravatà E. et al. ., Hyperconnectivity of the dorsolateral prefrontal cortex following mental effort in multiple sclerosis patients with cognitive fatigue. Mult. Scler. 22, 1665–1675 (2016). PubMed

Martz M. E., Zucker R. A., Schulenberg J. E., Heitzeg M. M., Psychosocial and neural indicators of resilience among youth with a family history of substance use disorder. Drug Alcohol Depend. 185, 198–206 (2018). PubMed PMC

Smith D. G., Jones P. S., Bullmore E. T., Robbins T. W., Ersche K. D., Cognitive control dysfunction and abnormal frontal cortex activation in stimulant drug users and their biological siblings. Transl. Psychiatry 3, e257 (2013). PubMed PMC

Luijten M. et al. ., 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, 149–169 (2014). PubMed PMC

Hanlon C. A., Wesley M. J., Roth A. J., Miller M. D., Porrino L. J., Loss of laterality in chronic cocaine users: An fMRI investigation of sensorimotor control. Psychiatry Res. 181, 15–23 (2010). PubMed PMC

Satpute A. B., Lieberman M. D., Integrating automatic and controlled processes into neurocognitive models of social cognition. Brain Res. 1079, 86–97 (2006). PubMed

Cohen J. D., Botvinick M., Carter C. S., Anterior cingulate and prefrontal cortex: who’s in control? Nat. Neurosci. 3, 421–423 (2000). PubMed

Kerns J. G. et al. ., Anterior cingulate conflict monitoring and adjustments in control. Science 303, 1023–1026 (2004). PubMed

Pariyadath V., Gowin J. L., Stein E. A., “Chapter 8 - Resting state functional connectivity analysis for addiction medicine: From individual loci to complex networks” in Progress in Brain Research Neuroscience for Addiction Medicine: From Prevention to Rehabilitation - Methods and Interventions, Ekhtiari H., Paulus M. P., Eds. (Elsevier, ed. 224, 2016), pp. 155–173. PubMed

Fox M. D., Raichle M. E., Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging. Nat. Rev. Neurosci. 8, 700–711 (2007). PubMed

Goldstein R. Z., Volkow N. D., Drug addiction and its underlying neurobiological basis: Neuroimaging evidence for the involvement of the frontal cortex. Am. J. Psychiatry 159, 1642–1652 (2002). PubMed PMC

Motzkin J. C., Baskin-Sommers A., Newman J. P., Kiehl K. A., Koenigs M., Neural correlates of substance abuse: Reduced functional connectivity between areas underlying reward and cognitive control. Hum. Brain Mapp. 35, 4282–4292 (2014). PubMed PMC

Hu Y., Salmeron B. J., Gu H., Stein E. A., Yang Y., Impaired functional connectivity within and between frontostriatal circuits and its association with compulsive drug use and trait impulsivity in cocaine addiction. JAMA Psychiatry 72, 584–592 (2015). PubMed

Wisner K. M., Patzelt E. H., Lim K. O., MacDonald A. W. 3rd, An intrinsic connectivity network approach to insula-derived dysfunctions among cocaine users. Am. J. Drug Alcohol Abuse 39, 403–413 (2013). PubMed

Regner M. F. et al. ., Top-down network effective connectivity in abstinent substance dependent individuals. PLoS One 11, e0164818 (2016). PubMed PMC

Ipser J. C. et al. ., Distinct intrinsic functional brain network abnormalities in methamphetamine-dependent patients with and without a history of psychosis. Addict. Biol. 23, 347–358 (2018). PubMed

Gu H. et al. ., Mesocorticolimbic circuits are impaired in chronic cocaine users as demonstrated by resting-state functional connectivity. Neuroimage 53, 593–601 (2010). PubMed PMC

Dean A. C., Kohno M., Hellemann G., London E. D., Childhood maltreatment and amygdala connectivity in methamphetamine dependence: A pilot study. Brain Behav. 4, 867–876 (2014). PubMed PMC

American Psychiatric Association , Diagnostic and Statistical Manual of Mental Disorders, (American Psychiatric Association, Washington, DC, ed. 4, text revision, 2000).

First M. B., Spitzer R. L., Gibbon M., Williams J. B. W., Structured Clinical Interview for DSM-IV-TR Axis I Disorders, Research Version, Non-patient Edition. (SCID-I/NP), (Biometrics Research, New York State Psychiatric Institute, New York, 2002).

Wallace B. C., Crack cocaine smokers as adult children of alcoholics: The dysfunctional family link. J. Subst. Abuse Treat. 7, 89–100 (1990). PubMed

Bernstein D. P. et al. ., Development and validation of a brief screening version of the Childhood Trauma Questionnaire. Child Abuse Negl. 27, 169–190 (2003). PubMed

Ashida S., Robinson E. L., Gay J., Slagel L. E., Ramirez M. R., Personal disaster and emergency support networks of older adults in a rural community: Changes after participation in a preparedness program. Disaster Med. Public Health Prep. 11, 110–119 (2017). PubMed

Dumont M., Provost M. A., Resilience in adolescents: Protective role of social support, coping strategies, self-esteem, and social activities on experience of stress and depression. J. Youth Adolesc. 28, 343–363 (1999).

Sander A. M. et al. ., The community integration questionnaire revisited: An assessment of factor structure and validity. Arch. Phys. Med. Rehabil. 80, 1303–1308 (1999). PubMed

Skinner H. A., The drug abuse screening test. Addict. Behav. 7, 363–371 (1982). PubMed

Saunders J. B., Aasland O. G., Babor T. F., de la Fuente J. R., Grant M., Development of the alcohol use disorders identification test (AUDIT): WHO collaborative project on early detection of persons with harmful alcohol consumption—II. Addiction 88, 791–804 (1993). PubMed

Power J. D., Barnes K. A., Snyder A. Z., Schlaggar B. L., Petersen S. E., Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion. Neuroimage 59, 2142–2154 (2012). PubMed PMC

Van Dijk K. R. A., Sabuncu M. R., Buckner R. L., The influence of head motion on intrinsic functional connectivity MRI. Neuroimage 59, 431–438 (2052). PubMed PMC

Power J. D., Schlaggar B. L., Petersen S. E., Recent progress and outstanding issues in motion correction in resting state fMRI. Neuroimage 105, 536–551 (2015). PubMed PMC

Pruim R. H. R. et al. ., ICA-AROMA: A robust ICA-based strategy for removing motion artifacts from fMRI data. Neuroimage 112, 267–277 (2015). PubMed

Biswal B., Yetkin F. Z., Haughton V. M., Hyde J. S., Functional connectivity in the motor cortex of resting human brain using echo-planar MRI. Magn. Reson. Med. 34, 537–541 (1995). PubMed

Ersche K. D. et al. ., Abnormal brain structure implicated in stimulant drug addiction. Science 335, 601–604 (2012). PubMed

Regner M. F. et al. ., Sex differences in gray matter changes and brain-behavior relationships in patients with stimulant dependence. Radiology 277, 801–812 (2015). PubMed PMC

Smith S. M., Nichols T. E., Threshold-free cluster enhancement: Addressing problems of smoothing, threshold dependence and localisation in cluster inference. Neuroimage 44, 83–98 (2009). PubMed

Muthén B., Muthén L., Mplus User’s Guide, (Muthén & Muthén, Los Angeles, CA, ed. 8, 2018).

Baker J. H., Maes H. H., Kendler K. S., Shared environmental contributions to substance use. Behav. Genet. 42, 345–353 (2012). PubMed PMC

Kuhn C., Francis R., Gender difference in cocaine-induced HPA axis activation. Neuropsychopharmacology 16, 399–407 (1997). PubMed

Haber S. N., Fudge J. L., McFarland N. R., Striatonigrostriatal pathways in primates form an ascending spiral from the shell to the dorsolateral striatum. J. Neurosci. 20, 2369–2382 (2000). PubMed PMC

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