Brain networks underlying vulnerability and resilience to drug addiction
Jazyk angličtina Země Spojené státy americké Médium print-electronic
Typ dokumentu časopisecké články, práce podpořená grantem
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
PubMed
32541059
PubMed Central
PMC7334452
DOI
10.1073/pnas.2002509117
PII: 2002509117
Knihovny.cz E-zdroje
- Klíčová slova
- cocaine, fMRI, functional connectivity, resilience, vulnerability,
- MeSH
- dospělí MeSH
- genetická predispozice k nemoci MeSH
- lidé MeSH
- mozek patofyziologie MeSH
- nervová síť fyziologie MeSH
- poruchy spojené s užíváním psychoaktivních látek * MeSH
- psychologie MeSH
- stimulanty centrálního nervového systému * MeSH
- studie případů a kontrol MeSH
- Check Tag
- dospělí MeSH
- lidé MeSH
- mužské pohlaví MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- Názvy látek
- stimulanty centrálního nervového systému * MeSH
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.
Department of Clinical Neurosciences University of Cambridge Cambridge CB2 3EB United Kingdom
Department of Kinanthropology and Humanities Charles University 16252 Prague Czech Republic
Department of Psychiatry University of Cambridge Cambridge CB2 0SZ United Kingdom
Department of Psychiatry University of Cambridge Cambridge CB2 0SZ United Kingdom;
Department of Psychology University of Cambridge Cambridge CB2 3EB United Kingdom
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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