Effective connectivity predicts cognitive empathy in cocaine addiction: a spectral dynamic causal modeling study.
cocaine dependence
effective connectivity
fantasy empathy
social cognition
Journal
Brain imaging and behavior
ISSN: 1931-7565
Titre abrégé: Brain Imaging Behav
Pays: United States
ID NLM: 101300405
Informations de publication
Date de publication:
Jun 2021
Jun 2021
Historique:
pubmed:
28
7
2020
medline:
21
7
2021
entrez:
26
7
2020
Statut:
ppublish
Résumé
Social cognition plays a crucial role in the development and treatment of cocaine dependence. However, studies investigating social cognition, such as empathy and its underlying neural basis, are lacking. To explore the neural interactions among reward and memory circuits, we applied effective connectivity analysis on resting-state fMRI data collected from cocaine-dependent subjects. The relationship between effective connectivity within these two important circuits and empathy ability - evaluated with the Interpersonal Reactivity Index (IRI) - was assessed by machine learning algorithm using multivariate regression analysis. In accordance with the neurocircuitry disruptions of cocaine addiction, the results showed that cocaine-dependent subjects relative to healthy controls had altered resting state effective connectivity between parts of the memory and reward systems. Furthermore, effective connectivity between the memory and reward system could predict the fantasy empathy (FE) subscale scores in cocaine dependence. Overall, our findings provide further evidence for the neural substrates of social cognition in cocaine-dependent patients. These new insights could be useful for the development of new treatment programs for this substance dependency disorder.
Identifiants
pubmed: 32710329
doi: 10.1007/s11682-020-00354-y
pii: 10.1007/s11682-020-00354-y
doi:
Substances chimiques
Cocaine
I5Y540LHVR
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
1553-1561Subventions
Organisme : National Natural Science Foundation of China
ID : 61876156
Organisme : National Natural Science Foundation of China
ID : 31900764
Organisme : Fundamental Research Funds for the Central Universities
ID : SWU116074
Informations de copyright
© 2020. Springer Science+Business Media, LLC, part of Springer Nature.
Références
Abu-Akel, A., & Shamay-Tsoory, S. (2011). Neuroanatomical and neurochemical bases of theory of mind. Neuropsychologia, 49(11), 2971–2984. https://doi.org/10.1016/j.neuropsychologia.2011.07.012
doi: 10.1016/j.neuropsychologia.2011.07.012
pubmed: 21803062
Banziger, T., Grandjean, D., & Scherer, K. R. (2009). Emotion recognition from expressions in face, voice, and body: the Multimodal Emotion Recognition Test (MERT). Emotion, 9(5), 691–704. https://doi.org/10.1037/a0017088
doi: 10.1037/a0017088
pubmed: 19803591
Behzadi, Y., Restom, K., Liau, J., & Liu, T. T. (2007). A component based noise correction method (CompCor) for BOLD and perfusion based fMRI. Neuroimage, 37(1), 90–101. https://doi.org/10.1016/j.neuroimage.2007.04.042
doi: 10.1016/j.neuroimage.2007.04.042
pubmed: 17560126
Blair, R. J. R. (2003). Facial expressions, their communicatory functions and neuro-cognitive substrates. Philosophical Transactions Biological Sciences, 358(1431), 561–572.
doi: 10.1098/rstb.2002.1220
Bonci, A., Bernardi, G., Grillner, P., & Mercuri, N. B. (2003). The dopamine-containing neuron: maestro or simple musician in the orchestra of addiction? Trends in Pharmacological Sciences, 24(4), 172–177. https://doi.org/10.1016/S0165-6147(03)00068-3
doi: 10.1016/S0165-6147(03)00068-3
pubmed: 12707003
Bracht, T., Horn, H., Strik, W., Federspiel, A., Razavi, N., Stegmayer, K., et al. (2014). White matter pathway organization of the reward system is related to positive and negative symptoms in schizophrenia. Schizophrenia Research, 153(1–3), 136–142. https://doi.org/10.1016/j.schres.2014.01.015
Chang, L., Alicata, D., Ernst, T., & Volkow, N. (2007). Structural and metabolic brain changes in the striatum associated with methamphetamine abuse. Addiction, 102, 16–32. https://doi.org/10.1111/j.1360-0443.2006.01782.x
doi: 10.1111/j.1360-0443.2006.01782.x
pubmed: 17493050
Childress, A. R., Mozley, P. D., McElgin, W., Fitzgerald, J., Reivich, M., & O’Brien, C. P. (1999). Limbic activation during cue-induced cocaine craving. The American Journal of Psychiatry, 156(1), 11–18. https://doi.org/10.1176/ajp.156.1.11
doi: 10.1176/ajp.156.1.11
pubmed: 9892292
pmcid: 2820826
Chrysikou, E. G., & Thompson, W. J. (2016). Assessing cognitive and affective empathy through the interpersonal reactivity index: An argument against a two-factor model (vol 23, pg 769, 2016). Assessment, 23(6), 778–778. https://doi.org/10.1177/1073191115607974
doi: 10.1177/1073191115607974
pubmed: 26603114
Colnat-Coulbois, S., Mok, K., Klein, D., Penicaud, S., Tanriverdi, T., & Olivier, A. (2010). Tractography of the amygdala and hippocampus: anatomical study and application to selective amygdalohippocampectomy. Journal of Neurosurgery, 113(6), 1135–1143. https://doi.org/10.3171/2010.3.JNS091832
doi: 10.3171/2010.3.JNS091832
pubmed: 20450277
Davis, M. H. (1980). A multidimensional approach to individual differences in empathy. JSAS Catalog of Selected Documents in Psychology, 10, 85.
Davis, M. H. (1983). Measuring individual differences in empathy: Evidence for a multidimensional approach. Journal of Personality and Social Psychology, 44(1), 113–126. https://doi.org/10.1037/0022-3514.44.1.113
doi: 10.1037/0022-3514.44.1.113
Decety, J. (2015). The neural pathways, development and functions of empathy. Current Opinion in Behavioral Sciences, 3, 1–6. https://doi.org/10.1016/j.cobeha.2014.12.001
doi: 10.1016/j.cobeha.2014.12.001
Dziobek, I., Rogers, K., Fleck, S., Bahnemann, M., Heekeren, H. R., Wolf, O. T., et al. (2008). Dissociation of Cognitive and Emotional Empathy in Adults with Asperger Syndrome Using the Multifaceted Empathy Test (MET). Journal of Autism and Developmental Disorders, 38(3), 464–473. https://doi.org/10.1007/s10803-007-0486-x
Ersche, K. D., Hagan, C. C., Smith, D. G., Jones, P. S., Calder, A. J., & Williams, G. B. (2015). In the face of threat: neural and endocrine correlates of impaired facial emotion recognition in cocaine dependence. Translational Psychiatry, 5, e57010.1038/tp.2015.58.
Fernandez-Serrano, M. J., Lozano, O., Perez-Garcia, M., & Verdejo-Garcia, A. (2010). Impact of severity of drug use on discrete emotions recognition in polysubstance abusers. Drug and Alcohol Dependence, 109(1–3), 57–64. https://doi.org/10.1016/j.drugalcdep.2009.12.007
doi: 10.1016/j.drugalcdep.2009.12.007
pubmed: 20064697
Fotros, A., Casey, K. F., Larcher, K., Verhaeghe, J. A. J., Cox, S. M. L., Gravel, P., et al. (2013). Cocaine Cue-Induced Dopamine Release in Amygdala and Hippocampus: A High-Resolution PET [18F]Fallypride Study in Cocaine Dependent Participants [Original Article]. Neuropsychopharmacology, 38, 1780. https://doi.org/10.1038/npp.2013.77
Fowler, J. S., Volkow, N. D., Kassed, C. A., & Chang, L. (2007). Imaging the addicted human brain. Science and Practice Perspectives, 3(2), 4–16.
doi: 10.1151/spp07324
Fox, H. C., Axelrod, S. R., Paliwal, P., Sleeper, J., & Sinha, R. (2007). Difficulties in emotion regulation and impulse control during cocaine abstinence. Drug and Alcohol Dependence, 89(2–3), 298–301. https://doi.org/10.1016/j.drugalcdep.2006.12.026
doi: 10.1016/j.drugalcdep.2006.12.026
pubmed: 17276626
Fox, H. C., Bergquist, K. L., Casey, J., Hong, K. A., & Sinha, R. (2011). Selective cocaine-related difficulties in emotional intelligence: relationship to stress and impulse control. The American Journal on Addictions, 20(2), 151–160. https://doi.org/10.1111/j.1521-0391.2010.00108.x
doi: 10.1111/j.1521-0391.2010.00108.x
pubmed: 21314758
Friston, K. J., Harrison, L., & Penny, W. (2003). Dynamic causal modelling. Neuroimage, 19(4), 1273–1302.
doi: 10.1016/S1053-8119(03)00202-7
Friston, K. J., Kahan, J., Biswal, B., & Razi, A. (2014). A DCM for resting state fMRI. Neuroimage, 94, 396–407. https://doi.org/10.1016/j.neuroimage.2013.12.009
doi: 10.1016/j.neuroimage.2013.12.009
pubmed: 24345387
Friston, K. J., & Penny, W. (2011). Post hoc Bayesian model selection. Neuroimage, 56(4), 2089–2099. https://doi.org/10.1016/j.neuroimage.2011.03.062
doi: 10.1016/j.neuroimage.2011.03.062
pubmed: 21459150
Frith, C. D., Wolpert, D. M., & Blair, R. J. R. (2003). Facial expressions, their communicatory functions and neuro-cognitive substrates. Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences, 358(1431), 561–572. https://doi.org/10.1098/rstb.2002.1220
doi: 10.1098/rstb.2002.1220
Gu, H., Salmeron, B. J., Ross, T. J., Geng, X., Zhan, W., Stein, E. A., et al. (2010). Mesocorticolimbic circuits are impaired in chronic cocaine users as demonstrated by resting-state functional connectivity. Neuroimage, 53(2), 593–601. https://doi.org/10.1016/j.neuroimage.2010.06.066
Haut, K. M., Dodell-Feder, D., Guty, E., Nahum, M., & Hooker, C. I. (2019). Change in Objective Measure of Empathic Accuracy Following Social Cognitive Training. Frontiers in Psychiatry, 10, 89410.3389/Fpsyt.2019.00894.
Homer, B. D., Solomon, T. M., Moeller, R. W., Mascia, A., DeRaleau, L., & Halkitis, P. N. (2008). Methamphetamine abuse and impairment of social functioning: A review of the underlying neurophysiological causes and Behavioral implications. Psychological Bulletin, 134(2), 301–310. https://doi.org/10.1037/0033-2909.134.2.301
doi: 10.1037/0033-2909.134.2.301
pubmed: 18298273
Hu, Y., Salmeron, B. J., Gu, H., Stein, E. A., & Yang, Y. (2015). Impaired functional connectivity within and between frontostriatal circuits and its association with compulsive drug use and trait impulsivity in cocaine addiction. JAMA Psychiatry, 72(6), 584–592.
doi: 10.1001/jamapsychiatry.2015.1
Hulka, L. M., Preller, K. H., Vonmoos, M., Broicher, S. D., & Quednow, B. B. (2013). Cocaine users manifest impaired prosodic and cross-modal emotion processing. Frontiers in Psychiatry, 4, 98. https://doi.org/10.3389/fpsyt.2013.00098
doi: 10.3389/fpsyt.2013.00098
pubmed: 24046750
pmcid: 3763688
Jackson, M. E., & Moghaddam, B. (2001). Amygdala regulation of nucleus accumbens dopamine output is governed by the prefrontal cortex. Journal of Neuroscience, 21(2), 676–681. https://doi.org/10.1523/Jneurosci.21-02-00676.2001
doi: 10.1523/Jneurosci.21-02-00676.2001
pubmed: 11160446
Jasinska, A. J., Stein, E. A., Kaiser, J., Naumer, M. J., & Yalachkov, Y. (2014). Factors modulating neural reactivity to drug cues in addiction: a survey of human neuroimaging studies. Neuroscience & Biobehavioral Reviews, 38, 1–16. https://doi.org/10.1016/j.neubiorev.2013.10.013
doi: 10.1016/j.neubiorev.2013.10.013
Ji, G. J., Liao, W., Chen, F. F., Zhang, L., & Wang, K. (2017). Low-frequency blood oxygen level-dependent fluctuations in the brain white matter: more than just noise. Science Bulletin, 62(9), 656–657. https://doi.org/10.1016/j.scib.2017.03.021
doi: 10.1016/j.scib.2017.03.021
Karila, L., Gorelick, D., Weinstein, A., Noble, F., Benyamina, A., Coscas, S., et al. (2008). New treatments for cocaine dependence: a focused review. The International Journal of Neuropsychopharmacology, 11(3), 425–438. https://doi.org/10.1017/S1461145707008097
Kelly, C., Zuo, X. N., Gotimer, K., Cox, C. L., Lynch, L., Brock, D., et al. (2011). Reduced interhemispheric resting state functional connectivity in cocaine addiction. Biological Psychiatry, 69(7), 684–692. https://doi.org/10.1016/j.biopsych.2010.11.022
Kemmis, L., Hall, J. K., Kingston, R., & Morgan, M. J. (2007). Impaired fear recognition in regular recreational cocaine users. Psychopharmacology (Berl), 194(2), 151–159. https://doi.org/10.1007/s00213-007-0829-5
doi: 10.1007/s00213-007-0829-5
Konova, A. B., Moeller, S. J., Tomasi, D., Volkow, N. D., & Goldstein, R. Z. (2013). Effects of methylphenidate on resting-state functional connectivity of the mesocorticolimbic dopamine pathways in cocaine addiction. JAMA Psychiatry, 70(8), 857–868. https://doi.org/10.1001/jamapsychiatry.2013.1129
doi: 10.1001/jamapsychiatry.2013.1129
pubmed: 23803700
pmcid: 4358734
Koob, G., & Bloom, F. (1988). Cellular and molecular mechanisms of drug dependence. Science, 242(4879), 715–723. https://doi.org/10.1126/science.2903550
doi: 10.1126/science.2903550
pubmed: 2903550
Koob, G. F., & Volkow, N. D. (2010). Neurocircuitry of addiction. Neuropsychopharmacology: official publication of the American College of Neuropsychopharmacology, 35(1), 217–238. https://doi.org/10.1038/npp.2009.110
doi: 10.1038/npp.2009.110
Koob, G. F., & Volkow, N. D. (2016). Neurobiology of addiction: a neurocircuitry analysis. Lancet Psychiatry, 3(8), 760–773.
doi: 10.1016/S2215-0366(16)00104-8
Kral, T. R. A., Stodola, D. E., Birn, R. M., Mumford, J. A., Solis, E., Flook, L., et al. (2018). Neural correlates of video game empathy training in adolescents: a randomized trial. NPJ Science of Learning, 3, 13. https://doi.org/10.1038/s41539-018-0029-6
Lee, H. J., Wheeler, D. S., & Holland, P. C. (2011). Interactions between amygdala central nucleus and the ventral tegmental area in the acquisition of conditioned cue-directed behavior in rats. European Journal of Neuroscience, 33(10), 1876–1884. https://doi.org/10.1111/j.1460-9568.2011.07680.x
doi: 10.1111/j.1460-9568.2011.07680.x
Makris, N., Gasic, G. P., Seidman, L. J., Goldstein, J. M., Gastfriend, D. R., Elman, I., et al. (2004). Decreased absolute amygdala volume in cocaine addicts. Neuron, 44(4), 729–740, doi:DOI. https://doi.org/10.1016/j.neuron.2004.10.027
Martinez, D., Carpenter, K. M., Liu, F., Slifstein, M., Broft, A., Friedman, A. C., et al. (2011). Imaging dopamine transmission in cocaine dependence: Link between neurochemistry and response to treatment. American Journal of Psychiatry, 168(6), 634–641. https://doi.org/10.1176/appi.ajp.2010.10050748
Marussich, L., Lu, K. H., Wen, H. G., & Liu, Z. M. (2017). Mapping white-matter functional organization at rest and during naturalistic visual perception. Neuroimage, 146, 1128–1141. https://doi.org/10.1016/j.neuroimage.2016.10.005
doi: 10.1016/j.neuroimage.2016.10.005
pubmed: 27720819
Maurage, P., Grynberg, D., Noel, X., Joassin, F., Philippot, P., Hanak, C., et al. (2011). Dissociation between affective and cognitive empathy in alcoholism: A specific deficit for the emotional dimension. Alcoholism-Clinical and Experimental Research, 35(9), 1662–1668. https://doi.org/10.1111/j.1530-0277.2011.01512.x
Moeller, S. J., & Paulus, M. P. (2018). Toward biomarkers of the addicted human brain: Using neuroimaging to predict relapse and sustained abstinence in substance use disorder. Progress in Neuro-Psychopharmacology & Biological Psychiatry, 80, 143–154. https://doi.org/10.1016/j.pnpbp.2017.03.003
doi: 10.1016/j.pnpbp.2017.03.003
Morgan, M. J., & Marshall, J. P. (2013). Deficient fear recognition in regular cocaine users is not attributable to elevated impulsivity or conduct disorder prior to cocaine use. Journal of Psychopharmacology, 27(6), 526–532. https://doi.org/10.1177/0269881113477708
doi: 10.1177/0269881113477708
pubmed: 23438501
Mutschler, J., Eifler, S., Dirican, G., Grosshans, M., Kiefer, F., Rossler, W., et al. (2013). Functional social support within a medical supervised outpatient treatment program. American Journal of Drug and Alcohol Abuse, 39(1), 44–49. https://doi.org/10.3109/00952990.2012.677889
Nazari-Serenjeh, F., & Rezayof, A. (2013). Cooperative interaction between the basolateral amygdala and ventral tegmental area modulates the consolidation of inhibitory avoidance memory. Progress in Neuro-Psychopharmacology & Biological Psychiatry, 40, 54–61. https://doi.org/10.1016/j.pnpbp.2012.10.003
doi: 10.1016/j.pnpbp.2012.10.003
Nomura, K., & Akai, S. (2012). Empathy with fictional stories: Reconsideration of the fantasy scale of the interpersonal reactivity index. Psychological Reports, 110(1), 304–314. https://doi.org/10.2466/02.07.09.11.PR0.110.1.304-314
doi: 10.2466/02.07.09.11.PR0.110.1.304-314
pubmed: 22489396
Nooner, K. B., Colcombe, S. J., Tobe, R. H., Mennes, M., Benedict, M. M., Moreno, A. L., et al. (2012). The NKI-Rockland sample: a model for accelerating the pace of discovery science in psychiatry. Frontiers in Neuroscience, 6, 15210.3389/fnins.2012.00152.
O’Brien, C. P. (2005). Anticraving medications for relapse prevention: a possible new class of psychoactive medications. The American Journal of Psychiatry, 162(8), 1423–1431. https://doi.org/10.1176/appi.ajp.162.8.1423
doi: 10.1176/appi.ajp.162.8.1423
pubmed: 16055763
Ostlund, S. B., & Halbout, B. (2017). Mesolimbic Dopamine Signaling in Cocaine Addiction. In V. R. Preedy (Ed.), The Neuroscience of Cocaine (pp. 287–295). San Diego: Academic.
doi: 10.1016/B978-0-12-803750-8.00029-4
Parkes, L., Tiego, J., Aquino, K., Braganza, L., Chamberlain, S. R., Fontenelle, L. F., et al. (2019). Transdiagnostic variations in impulsivity and compulsivity in obsessive-compulsive disorder and gambling disorder correlate with effective connectivity in cortical-striatal-thalamic-cortical circuits. Neuroimage. 202,. https://doi.org/10.1016/j.neuroimage.2019.116070
Parkinson, C., & Wheatley, T. (2014). Relating anatomical and social connectivity: White Matter microstructure predicts emotional empathy. Cerebral Cortex, 24(3), 614–625. https://doi.org/10.1093/cercor/bhs347
doi: 10.1093/cercor/bhs347
pubmed: 23162046
Patel, A. X., Kundu, P., Rubinov, M., Jones, P. S., Vertes, P. E., Ersche, K. D., et al. (2014). A wavelet method for modeling and despiking motion artifacts from resting-state fMRI time series. Neuroimage, 95, 287–304. https://doi.org/10.1016/j.neuroimage.2014.03.012
Phillips, A. G., Ahn, S., & Howland, J. G. (2003). Amygdalar control of the mesocorticolimbic dopamine system: parallel pathways to motivated behavior. Neuroscience and Biobehavioral Reviews, 27(6), 543–554. https://doi.org/10.1016/j.neubiorev.2003.09.002
doi: 10.1016/j.neubiorev.2003.09.002
pubmed: 14599435
Preller, K. H., Herdener, M., Schilbach, L., Stampfli, P., Hulka, L. M., Vonmoos, M., et al. (2014b). Functional changes of the reward system underlie blunted response to social gaze in cocaine users. Proceedings of the National Academy of Sciences of the United States of America, 111(7), 2842–2847. https://doi.org/10.1073/pnas.1317090111
Preller, K. H., Hulka, L. M., Vonmoos, M., Jenni, D., Baumgartner, M. R., Seifritz, E., et al. (2014a). Impaired emotional empathy and related social network deficits in cocaine users. Addiction Biology, 19(3), 452–466. https://doi.org/10.1111/adb.12070
Pulos, S., Elison, J., & Lennon, R. (2004). The hierarchical structure of the interpersonal reactivity index. Social Behavior and Personality, 32(4), 355–359. https://doi.org/10.2224/sbp.2004.32.4.355
doi: 10.2224/sbp.2004.32.4.355
Quednow, B. B. (2017). Social cognition and interaction in stimulant use disorders. Current Opinion in Behavioral Sciences, 13, 55–62. https://doi.org/10.1016/j.cobeha.2016.10.001
doi: 10.1016/j.cobeha.2016.10.001
Rando, K., Tuit, K., Hannestad, J., Guarnaccia, J., & Sinha, R. (2013). Sex differences in decreased limbic and cortical grey matter volume in cocaine dependence: a voxel-based morphometric study. Addiction Biology, 18(1), 147–160. https://doi.org/10.1111/adb.12008
doi: 10.1111/adb.12008
pubmed: 23167305
Ray, S., Di, X., & Biswal, B. B. (2016). Effective connectivity within the mesocorticolimbic system during resting-state in cocaine users. Frontiers in Human Neuroscience, 10, 563. https://doi.org/10.3389/fnhum.2016.00563
doi: 10.3389/fnhum.2016.00563
pubmed: 27881959
pmcid: 5101190
Razi, A., Kahan, J., Rees, G., & Friston, K. J. (2015). Construct validation of a DCM for resting state fMRI. Neuroimage, 106, 1–14. https://doi.org/10.1016/j.neuroimage.2014.11.027
doi: 10.1016/j.neuroimage.2014.11.027
pubmed: 25463471
Snoek, L., Miletic, S., & Scholte, H. S. (2019). How to control for confounds in decoding analyses of neuroimaging data. Perception, 48, 204–204.
Takeuchi, H., Taki, Y., Thyreau, B., Sassa, Y., Hashizume, H., Sekiguchi, A., et al. (2013). White matter structures associated with empathizing and systemizing in young adults. Neuroimage, 77, 222–236. https://doi.org/10.1016/j.neuroimage.2013.04.004
Tomei, A., Besson, J., Reber, N., Rougemont-Bucking, A., & Grivel, J. (2017). Personal distress and empathic concern in methadone-maintained patients. Journal of Substance Use, 22(1), 37–41. https://doi.org/10.3109/14659891.2016.1140238
doi: 10.3109/14659891.2016.1140238
Tsvetanov, K. A., Henson, R. N. A., Tyler, L. K., Razi, A., Geerligs, L., Ham, T. E., et al. (2016). Extrinsic and intrinsic brain network connectivity maintains cognition across the lifespan despite accelerated decay of regional brain activation. Journal of Neuroscience, 36(11), 3115–3126. https://doi.org/10.1523/Jneurosci.2733-15.2016
van Huijstee, A. N., & Mansvelder, H. D. (2014). Glutamatergic synaptic plasticity in the mesocorticolimbic system in addiction. Frontiers in Cellular Neuroscience, 8, 466. https://doi.org/10.3389/fncel.2014.00466
doi: 10.3389/fncel.2014.00466
pubmed: 25653591
Verdejo-Garcia, A. (2014). Social cognition in cocaine addiction. Proceedings of the National Academy of Sciences of the United States of America, 111(7), 2406–2407. https://doi.org/10.1073/pnas.1324287111
doi: 10.1073/pnas.1324287111
pubmed: 24501129
pmcid: 3932928
Volkow, N. D., Baler, R. D., & Goldstein, R. Z. (2011a). Addiction: Pulling at the Neural Threads of Social Behaviors. Neuron, 69(4), 599–602. https://doi.org/10.1016/j.neuron.2011.01.027
doi: 10.1016/j.neuron.2011.01.027
pubmed: 21338873
pmcid: 3188411
Volkow, N. D., Wang, G. J., Fowler, J. S., Tomasi, D., & Telang, F. (2011b). Addiction: beyond dopamine reward circuitry. Proceedings of the National Academy of Sciences of the United States of America, 108(37), 15037–15042. https://doi.org/10.1073/pnas.1010654108
doi: 10.1073/pnas.1010654108
pubmed: 21402948
pmcid: 3174598
Volkow, N. D., Fowler, J. S., & Wang, G. J. (2003). The addicted human brain: insights from imaging studies. Journal of Clinical Investigation, 111(10), 1444–1451. https://doi.org/10.1172/JCI18533
doi: 10.1172/JCI18533
pmcid: 155054
Volkow, N. D., Fowler, J. S., & Wang, G. J. (2004). The addicted human brain viewed in the light of imaging studies: brain circuits and treatment strategies. Neuropharmacology, 47(Suppl 1), 3–13. https://doi.org/10.1016/j.neuropharm.2004.07.019
doi: 10.1016/j.neuropharm.2004.07.019
pubmed: 15464121
Volkow, N. D., Fowler, J. S., Wang, G. J., Hitzemann, R., Logan, J., Schlyer, D. J., et al. (1993). Decreased dopamine D2 receptor availability is associated with reduced frontal metabolism in cocaine abusers. Synapse (New York, N. Y.), 14(2), 169–177. https://doi.org/10.1002/syn.890140210
Volkow, N. D., & Morales, M. (2015). The brain on drugs: From reward to addiction. Cell, 162(4), 712–725. https://doi.org/10.1016/j.cell.2015.07.046
doi: 10.1016/j.cell.2015.07.046
pubmed: 26276628
Volkow, N. D., Wang, G. J., Fowler, J. S., & Tomasi, D. (2012). Addiction circuitry in the human brain. The Annual Review of Pharmacology and Toxicology, 52, 321–336. https://doi.org/10.1146/annurev-pharmtox-010611-134625
doi: 10.1146/annurev-pharmtox-010611-134625
pubmed: 21961707
Vonmoos, M., Hulka, L. M., Preller, K. H., Minder, F., Baumgartner, M. R., & Quednow, B. B. (2014). Cognitive impairment in cocaine users is drug-induced but partially reversible: Evidence from a longitudinal study. Neuropsychopharmacology: official publication of the American College of Neuropsychopharmacology, 39(9), 2200–2210. https://doi.org/10.1038/npp.2014.71
doi: 10.1038/npp.2014.71
Wiers, C. E., Cabrera, E., Skarda, E., Volkow, N. D., & Wang, G. J. (2016). PET imaging for addiction medicine: From neural mechanisms to clinical considerations. Progress in Brain Research, 224, 175–201. https://doi.org/10.1016/bs.pbr.2015.07.016
doi: 10.1016/bs.pbr.2015.07.016
pubmed: 26822359
Wilcox, C. E., Teshiba, T. M., Merideth, F., Ling, J., & Mayer, A. R. (2011). Enhanced cue reactivity and fronto-striatal functional connectivity in cocaine use disorders. Drug and Alcohol Dependence, 115(1–2), 137–144. https://doi.org/10.1016/j.drugalcdep.2011.01.009
doi: 10.1016/j.drugalcdep.2011.01.009
pubmed: 21466926
pmcid: 3090708