| Zugriffsnummer | 50462 |
| Dokumenttyp | Zeitschriftenartikel |
| Peer Review | mit Peer Review |
| Sprache | Englisch |
| Titel | Brain structural covariance network differences in adults with alcohol dependence and heavy-drinking adolescents |
| Autor(in); Institution |
Ottino-Gonzalez, J.; Department of Psychiatry, University of Vermont College of Medicine, Burlington, VT, USA
Albaugh, M.; Department of Psychiatry, University of Vermont College of Medicine, Burlington, VT, USA
Cao, Z.; Department of Psychiatry, University of Vermont College of Medicine, Burlington, VT, USA
Cupertino, R.; Department of Psychiatry, University of Vermont College of Medicine, Burlington, VT, USA
Schwab, N.; Department of Psychiatry, University of Vermont College of Medicine, Burlington, VT, USA
Spechler, P.; Department of Psychiatry, University of Vermont College of Medicine, Burlington, VT, USA
Allen, N.; Department of Psychology, University of Oregon, Eugene, OR, USA
Artiges, E.; Institut National de la Santé et de la Recherche Médicale, INSERM U1299 ‘Trajectoires développementales en psychiatrie’, centre Borelli, Gif-sur-Yvette, FRANCE
Banaschewski, T.; Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, GERMANY
Bokde, A.; Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, IRELAND
Burke Quinlan, E.; Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology and Neuroscience, SGDP Centre, King's College London, London, UK
Orr, C.; Department of Psychological Sciences, School of Health Sciences, Swinburne University, Melbourne, VIC, AUSTRALIA
Cousijn, J.; Department of Psychology, Education & Child Studies, Erasmus University Rotterdam, Rotterdam, THE NETHERLANDS
Desrivières, S.; Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology and Neuroscience, SGDP Centre, King's College London, London, UK
Flor, H.; Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, GERMANY
Foxe, J.; Department of Neuroscience and The Ernest J. Del Monte Institute for Neuroscience, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA
Fröhner, J.; Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, GERMANY
Goudriaan, A.; Department of Psychiatry, and Amsterdam Neuroscience, Amsterdam UMC, University of Amsterdam, Amsterdam, THE NETHERLANDS
Gowland, P.; Sir Peter Mansfield Imaging Centre School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, UK
Grigis, A.; NeuroSpin, CEA, Université Paris-Saclay, Gif-sur-Yvette, FRANCE
Heinz, A.; Department of Psychiatry and Psychotherapy CCM, Charité Universitätsmedizin Berlin, Berlin, GERMANY
Hester, R.; School of Psychological Sciences, University of Melbourne, Melbourne, VIC, AUSTRIA
Hutchison, K.; Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO, USA
Li, Ch.; Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
London, E.; David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, USA
Lorenzetti, V.; Neuroscience of Addiction and Mental Health Program, Healthy Brain and Mind Research Centre, School of Behavioural and Health Sciences, Faculty of Health Sciences, Australian Catholic University, Melbourne, VIC, AUSTRALIA
Luijten, M.; Behavioural Science Institute, Radboud University, Nijmegen, THE NETHERLANDS
Nees, F.; Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, GERMANY
Martín-Santos, R.; Department of Psychiatry and Psychology, University of Barcelona, Barcelona, SPAIN
Martinot, J.-L.; Laureate Institute for Brain Research, Tulsa, OK, USA
Millenet, S.; Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, GERMANY
Momenan, R.; Clinical NeuroImaging Research Core, Division of Intramural Clinical and Biological Research, National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, USA
Paillère Martinot, M.-L.; Institut National de la Santé et de la Recherche Médicale, INSERM U1299 ‘Trajectoires développementales en psychiatrie’, centre Borelli, Gif-sur-Yvette, FRANCE
Papadopoulos Orfanos, D.; NeuroSpin, CEA, Université Paris-Saclay, Gif-sur-Yvette, FRANCE
Paulus, M.; VA San Diego Healthcare System and Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
Poustka, L.; Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Centre Göttingen, Göttingen, GERMANY
Schmaal, L.; Orygen, Parkville, VIC, AUSTRALIA
Schumann, G.; Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, GERMANY
Sinha, R.; Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
Smolka, M.; Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, GERMANY
Solowij, N.; School of Psychology and Illawarra Health and Medical Research Institute, University of Wollongong, Wollongong, NSW, AUSTRALIA
Stein, D.; SA MRC Unit on Risk and Resilience in Mental Disorders, Department of Psychiatry and Neuroscience Institute, University of Cape Town, Cape Town, SOUTH AFRICA
Stein, E.; Neuroimaging Research Branch, Intramural Research Program, National Institute on Drug Abuse, Baltimore, MD, USA
Uhlmann, A.; Department of Child and Adolescent Psychiatry and Psychotherapy, Technische Universität Dresden, Dresden, GERMANY
van Holst, R.; Department of Psychiatry, Amsterdam UMC - location AMC, University of Amsterdam, Amsterdam, THE NETHERLANDS
Veltman, D.; Department of Psychiatry, Amsterdam UMC - location AMC, University of Amsterdam, Amsterdam, THE NETHERLANDS
Walter, H.; Department of Psychiatry and Psychotherapy CCM, Charité Universitätsmedizin Berlin, Berlin, GERMANY
Whelan, R.; School of Psychology and Global Brain Health Institute, Trinity College Dublin, Dublin, IRELAND
Wiers, R.; Addiction Development and Psychopathology (ADAPT)-lab, Department of Psychology and Center for Urban Mental Health, University of Amsterdam, Amsterdam, THE NETHERLANDS
Yücel, M.; Turner Institute for Brain and Mental Health, School of Psychological Sciences, BrainPark, USA
Zhang, S.; Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
Jahanshad, N.; Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Marina del Rey, CA, USA
Thompson, P.; Imaging Genetics Center, Stevens Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
Conrod, P.; Department of Psychiatry, Université de Montreal, CHU Ste Justine Hospital, Montreal, QC, CANADA
Mackey, S.; Department of Psychiatry, University of Vermont College of Medicine, Burlington, VT, USA
IMAGEN Consortium,
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| Quelle/Jahr | Addiction: 117 (2022), 5, 1312 - 1325 |
| ISSN | 0965-2140 (print) ; 1360-0443 (online) |
| DOI | |
| URL | |
| Verlag | Hoboken, New Jersy: Wiley Online Library |
| Zusammenfassung | Background and aims Graph theoretic analysis of structural covariance networks (SCN) provides an assessment of brain organization that has not yet been applied to alcohol dependence (AD). We estimated whether SCN differences are present in adults with AD and heavy-drinking adolescents at age 19 and age 14, prior to substantial exposure to alcohol. Design Cross-sectional sample of adults and a cohort of adolescents. Correlation matrices for cortical thicknesses across 68 regions were summarized with graph theoretic metrics. Setting and participants A total of 745 adults with AD and 979 non-dependent controls from 24 sites curated by the Enhancing NeuroImaging Genetics through Meta Analysis (ENIGMA)–Addiction consortium, and 297 hazardous drinking adolescents and 594 controls at ages 19 and 14 from the IMAGEN study, all from Europe. Measurements Metrics of network segregation (modularity, clustering coefficient and local efficiency) and integration (average shortest path length and global efficiency). Findings The younger AD adults had lower network segregation and higher integration relative to non-dependent controls. Compared with controls, the hazardous drinkers at age 19 showed lower modularity [area-under-the-curve (AUC) difference = −0.0142, 95% confidence interval (CI) = −0.1333, 0.0092; P-value = 0.017], clustering coefficient (AUC difference = −0.0164, 95% CI = −0.1456, 0.0043; P-value = 0.008) and local efficiency (AUC difference = −0.0141, 95% CI = −0.0097, 0.0034; P-value = 0.010), as well as lower average shortest path length (AUC difference = −0.0405, 95% CI = −0.0392, 0.0096; P-value = 0.021) and higher global efficiency (AUC difference = 0.0044, 95% CI = −0.0011, 0.0043; P-value = 0.023). The same pattern was present at age 14 with lower clustering coefficient (AUC difference = −0.0131, 95% CI = −0.1304, 0.0033; P-value = 0.024), lower average shortest path length (AUC difference = −0.0362, 95% CI = −0.0334, 0.0118; P-value = 0.019) and higher global efficiency (AUC difference = 0.0035, 95% CI = −0.0011, 0.0038; P-value = 0.048). Conclusions Cross-sectional analyses indicate that a specific structural covariance network profile is an early marker of alcohol dependence in adults. Similar effects in a cohort of heavy-drinking adolescents, observed at age 19 and prior to substantial alcohol exposure at age 14, suggest that this pattern may be a pre-existing risk factor for problematic drinking. |
| Kostenfreier Zugang | Open Access Hybrid |
| Rechteinformation | CC BY 4.0 ; Creative Commons Attribution 4.0 License |
| Themenbereich der Metrologie | Metrologie in der Medizin |
| Forschungsprojekt | National Institute on Drug Abuse, Grant/Award Number: R01DA047119 |
Zitierung
Ottino-Gonzalez, J., Albaugh, M., Cao, Z., Cupertino, R., Schwab, N., Spechler, P., Allen, N., Artiges, E., Banaschewski, T., Bokde, A., Burke Quinlan, E., Brühl, R., Orr, C., Cousijn, J., Desrivières, S., Flor, H., Foxe, J., Fröhner, J., Goudriaan, A., Gowland, P., Grigis, A., Heinz, A., Hester, R., Hutchison, K., Li, C., London, E., Lorenzetti, V., Luijten, M., Nees, F., Martín-Santos, R., Martinot, J.-L., Millenet, S., Momenan, R., Paillère Martinot, M.-L., Papadopoulos Orfanos, D., Paulus, M., Poustka, L., Schmaal, L., Schumann, G., Sinha, R., Smolka, M., Solowij, N., Stein, D., Stein, E., Uhlmann, A., van Holst, R., Veltman, D., Walter, H., Whelan, R., Wiers, R., Yücel, M., Zhang, S., Jahanshad, N., Thompson, P., Conrod, P., Mackey, S., & IMAGEN Consortium. (2022). Brain structural covariance network differences in adults with alcohol dependence and heavy-drinking adolescents. Addiction, 117(5), 1312–1325. https://doi.org/10.1111/add.15772