Abstract
Most prior studies have reported decreased amygdala volume in those with a history of alcohol use disorder. Decreased amygdala volume associated with alcohol use disorder may be related to an increased risk of addiction and relapse. However, the relationship between amygdala volume and a broad range of alcohol consumption is largely unexplored. The present cross-sectional analysis investigates the relationship between amygdala volume and self-reported alcohol consumption in participants of the Dallas Heart Study, a community-based study of Dallas County, Texas residents. Brain imaging and survey data from participants (n = 2023) were obtained, and multiple linear regressions were performed with the average amygdala volume as the dependent variable and drinking status, drinking risk, drinks per week, and binge drinking as independent variables. Drinking risk was categorized such that low-risk constituted ≤ 14 drinks per week in men and ≤ 7 drinks per week in women, while > 14 drinks per week in men and > 7 drinks per week in women constituted high-risk. Age, sex, intracranial volume, body mass index, education, and Quick Inventory of Depressive Symptomatology-Self Report score were included in all models as covariates. No statistically significant (p ≤ .05) associations were observed between self-reported alcohol consumption and amygdala volume. The present study suggests non-significant relationships between self-reported alcohol consumption and amygdala volume when controlling for relevant demographic factors in a large, community-based sample.
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Data availability
The Executive Committee of the Dallas Heart Study has imposed restrictions on sharing the de-identified data set due to the potential loss of anonymity of participants. Requests for access to the data can be addressed to Dr. Helen H. Hobbs, Director, Donald W. Reynolds Cardiovascular Clinical Research Center, The University of Texas Southwestern Medical Center, 5323 Harry Hines Boulevard NB10.204 A MS 8591, Dallas, Texas 75390.
References
Beck, A., Wustenberg, T., Genauck, A., Wrase, J., Schlagenhauf, F., Smolka, M. N., Mann, K., & Heinz, A. (2012). Effect of Brain structure, brain function, and Brain Connectivity on Relapse in Alcohol-Dependent patients. Archives of General Psychiatry, 69(8), 842–853. https://doi.org/10.1001/archgenpsychiatry.2011.2026.
Beilin, L. J., & Puddey, I. B. (1993). Alcohol, Hypertension and Cardiovascular-Disease - implications for Management. Clinical and Experimental Hypertension, 15(6), 1157–1170. https://doi.org/10.3109/10641969309037102.
Benegal, V., Antony, G., Venkatasubramanian, G., & Jayakumar, P. N. (2007). Gray matter volume abnormalities and externalizing symptoms in subjects at high risk for alcohol dependence. Addiction Biology, 12(1), 122–132. https://doi.org/10.1111/j.1369-1600.2006.00043.x.
Beresford, T. P., Arciniegas, D. B., Alfers, J., Clapp, L., Martin, B., Liu, Y. P. D. D. F., Shen, D. G., & Davatzikos, C. (2006). Hippocampus volume loss due to chronic heavy drinking. Alcoholism-Clinical and Experimental Research, 30(11), 1866–1870. https://doi.org/10.1111/j.1530-0277.2006.00223.x.
Brown, E. S., Hughes, C. W., McColl, R., Peshock, R., King, K. S., & Rush, A. J. (2014). Association of Depressive Symptoms with hippocampal volume in 1936 adults. Neuropsychopharmacology : Official Publication of the American College of Neuropsychopharmacology, 39(3), 770–779. https://doi.org/10.1038/npp.2013.271.
Carlson, S. M., Kim, J., Khan, D. A., King, K., Lucarelli, R. T., McColl, R., Peshock, R., & Brown, E. S. (2017). Hippocampal volume in patients with asthma: Results from the Dallas Heart Study. Journal of Asthma, 54(1), 9–16. https://doi.org/10.1080/02770903.2016.1186174.
Ceni, E., Mello, T., & Galli, A. (2014). Pathogenesis of alcoholic liver disease: Role of oxidative metabolism. World Journal of Gastroenterology, 20(47), 17756–17772. https://doi.org/10.3748/wjg.v20.i47.17756.
Daviet, R., Aydogan, G., Jagannathan, K., Spilka, N., Koellinger, P. D., Kranzler, H. R., Nave, G., & Wetherill, R. R. (2022). Associations between alcohol consumption and gray and white matter volumes in the UK Biobank. Nature Communications, 13(1), 1175. https://doi.org/10.1038/s41467-022-28735-5.
Dawson, D. A. (2011). Defining Risk Drinking. Alcohol Research & Health, 34(2), 144–156. ://WOS:000298304600002.
Durazzo, T. C., Tosun, D., Buckley, S., Gazdzinski, S., Mon, A., Fryer, S. L., & Meyerhoff, D. J. (2011). Cortical thickness, Surface Area, and volume of the brain reward system in Alcohol Dependence: Relationships to relapse and extended abstinence. Alcoholism-Clinical and Experimental Research, 35(6), 1187–1200. https://doi.org/10.1111/j.1530-0277.2011.01452.x.
Fein, G., Landman, B., Tran, H., McGillivray, S., Finn, P., Barakos, J., & Moon, K. (2006). Brain atrophy in long-term abstinent alcoholics who demonstrate impairment on a simulated gambling task. Neuroimage, 32(3), 1465–1471. https://doi.org/10.1016/j.neuroimage.2006.06.013.
Fein, G., Greenstein, D., Cardenas, V. A., Cuzen, N. L., Fouche, J. P., Ferrett, H., Thomas, K., & Stein, D. J. (2013). Cortical and subcortical volumes in adolescents with alcohol dependence but without substance or psychiatric comorbidities. Psychiatry Research-Neuroimaging, 214(1), 1–8. https://doi.org/10.1016/j.pscychresns.2013.06.001.
Grace, S., Rossetti, M. G., Allen, N., Batalla, A., Bellani, M., Brambilla, P., Chye, Y., Cousijn, J., Goudriaan, A. E., Hester, R., Hutchison, K., Labuschagne, I., Momenan, R., Martin-Santos, R., Rendell, P., Solowij, N., Sinha, R., Li, C. S. R., Schmaal, L., & Lorenzetti, V. (2021). Sex differences in the neuroanatomy of alcohol dependence: hippocampus and amygdala subregions in a sample of 966 people from the ENIGMA addiction Working Group. Translational Psychiatry, 11(1). https://doi.org/10.1038/s41398-021-01204-1.
Gupta, M., King, K. S., Srinivasa, R., Weiner, M. F., Hulsey, K., Ayers, C. R., Whittemore, A., McColl, R. W., Rossetti, H. C., & Peshock, R. M. (2015). Association of 3.0-T brain magnetic resonance imaging biomarkers with cognitive function in the Dallas Heart Study. Jama Neurology, 72(2), 170–175. https://doi.org/10.1001/jamaneurol.2014.3418.
Hammoud, N., & Jimenez-Shahed, J. (2019). Chronic neurologic effects of Alcohol. Clinics in Liver Disease, 23(1), 141–. https://doi.org/10.1016/j.cld.2018.09.010.
Hill, S. Y., De Bellis, M. D., Keshavan, M. S., Lowers, L., Shen, S., Hall, J., & Pitts, T. (2001). Right amygdala volume in adolescent and young adult offspring from families at high risk for developing alcoholism. Biological Psychiatry, 49(11), 894–905. https://doi.org/10.1016/s0006-3223(01)01088-5.
King, K. S., Peshock, R. M., Rossetti, H. C., McColl, R. W., Ayers, C. R., Hulsey, K. M., & Das, S. R. (2014). Effect of normal aging Versus Hypertension, abnormal body Mass Index, and Diabetes Mellitus on White Matter Hyperintensity volume. Stroke, 45(1), 255–257. https://doi.org/10.1161/Strokeaha.113.003602.
Latt, N., & Dore, G. (2014). Thiamine in the treatment of Wernicke encephalopathy in patients with alcohol use disorders. Internal Medicine Journal, 44(9), 911–915. https://doi.org/10.1111/imj.12522.
Lind, K. E., Gutierrez, E. J., Yamamoto, D. J., Regner, M. F., McKee, S. A., & Tanabe, J. (2017). Sex disparities in substance abuse research: Evaluating 23 years of structural neuroimaging studies. Drug and Alcohol Dependence, 173, 92–98. https://doi.org/10.1016/j.drugalcdep.2016.12.019.
Lucarelli, R. T., Peshock, R. M., McColl, R., Hulsey, K., Ayers, C., Whittemore, A. R., & King, K. S. (2013). MR imaging of hippocampal asymmetry at 3T in a multiethnic, Population-based sample: Results from the Dallas Heart Study. American Journal of Neuroradiology, 34(4), 752–757. https://doi.org/10.3174/ajnr.A3308.
Makris, N., Oscar-Berman, M., Jaffin, S. K., Hodge, S. M., Kennedy, D. N., Caviness, V. S., Marinkovic, K., Breiter, H. C., Gasic, G. P., & Harris, G. J. (2008). Decreased volume of the brain reward system in alcoholism. Biological Psychiatry, 64(3), 192–202. https://doi.org/10.1016/j.biopsych.2008.01.018.
Martinez-Maldonado, A., Verdejo-Roman, J., Sion, A., Rubio, G., Perez-Garcia, M., & Jurado-Barba, R. (2022). Effect of chronic alcohol consumption on brain structure in males with alcohol use disorder without a familiar history of alcoholism. Journal of Psychiatric Research, 149, 210–216. https://doi.org/10.1016/j.jpsychires.2022.03.005.
Navarri, X., Afzali, M. H., Lavoie, J., Sinha, R., Stein, D. J., Momenan, R., Veltman, D. J., Korucuoglu, O., Sjoerds, Z., van Holst, R. J., Hester, R., Orr, C., Cousijn, J., Yucel, M., Lorenzetti, V., Wiers, R., Jahanshad, N., Glahn, D. C., Thompson, P. M., & Conrod, P. J. (2022). How do substance use disorders compare to other psychiatric conditions on structural brain abnormalities? A cross-disorder meta-analytic comparison using the ENIGMA consortium findings. Human Brain Mapping, 43(1), 399–413. https://doi.org/10.1002/hbm.25114.
Paul, C. A., Au, R., Fredman, L., Massaro, J. M., Seshadri, S., DeCarli, C., & Wolf, P. A. (2008). Association of Alcohol Consumption with brain volume in the Framingham study. Archives of Neurology, 65(10), 1363–1367. https://doi.org/10.1001/archneur.65.10.1363.
Pfefferbaum, A., Lim, K. O., Zipursky, R. B., Mathalon, D. H., Rosenbloom, M. J., Lane, B., Chung, N. H., & Sullivan, E. V. (1992). Brain Gray and White Matter volume loss accelerates with aging in chronic-alcoholics - a quantitative mri study. Alcoholism-Clinical and Experimental Research, 16(6), 1078–1089. https://doi.org/10.1111/j.1530-0277.1992.tb00702.x.
Reilly, T. J., MacGillivray, S. A., Reid, I. C., & Cameron, I. M. (2015). Psychometric properties of the 16-item Quick Inventory of Depressive Symptomatology: A systematic review and meta-analysis. Journal of Psychiatric Research, 60, 132–140. https://doi.org/10.1016/j.jpsychires.2014.09.008.
Rush, A. J., Trivedi, M. H., Ibrahim, H. M., Carmody, T. J., Arnow, B., Klein, D. N., Markowitz, J. C., Ninan, P. T., Kornstein, S., Manber, R., Thase, M. E., Kocsis, J. H., & Keller, M. B. (2003). The 16-item Quick Inventory of Depressive Symptomatology (QIDS), clinician rating (QIDS-C), and self-report (QIDS-SR): A psychometric evaluation in patients with chronic major depression. Biological Psychiatry, 54(5), 573–583. https://doi.org/10.1016/S0006-3223(02)01866-8.
Senatorov, V. V., Damadzic, R., Mann, C. L., Schwandt, M. L., George, D. T., Hommer, D. W., Heilig, M., & Momenan, R. (2015). Reduced anterior insula, enlarged amygdala in alcoholism and associated depleted Von Economo neurons. Brain: A Journal of Neurology, 138(Pt 1), 69–79. https://doi.org/10.1093/brain/awu305.
Shim, J. H., Kim, Y. T., Kim, S., & Baek, H. M. (2019). Volumetric Reductions of Subcortical Structures and Their Localizations in Alcohol-Dependent Patients. Frontiers in Neurology, 10. https://doi.org/ARTN 24710.3389/fneur.2019.00247.
Sobell, L. C., Kwan, E., & Sobell, M. B. (1995). Reliability of a drug history questionnaire (dhq). Addictive Behaviors, 20(2), 233–241. https://doi.org/10.1016/0306. –4603(94)00071 – 9.
Sobell, L. C., Agrawal, S., Sobell, M. B., Leo, G. I., Young, L. J., Cunningham, J. A., & Simco, E. R. (2003). Comparison of a quick drinking screen with the timeline followback for individuals with alcohol problems. Journal of Studies on Alcohol, 64(6), 858–861. https://doi.org/10.15288/jsa.2003.64.858.
Stockwell, T., Zhao, J. H., Panwar, S., Roemer, A., Naimi, T., & Chikritzhs, T. (2016). Do moderate drinkers have reduced mortality risk? A systematic review and Meta-analysis of Alcohol Consumption and all-cause mortality. Journal of Studies on Alcohol and Drugs, 77(2), 185–198. https://doi.org/10.15288/jsad.2016.77.185.
Sullivan, E. V., Lane, B., Deshmukh, A., Rosenbloom, M. J., Desmond, J. E., Lim, K. O., & Pfeferbaum, A. (1999). In vivo mammillary body volume deficits in amnesic and nonamnesic alcoholics. Alcoholism-Clinical and Experimental Research, 23(10), 1629–1636. https://doi.org/10.1097/00000374-199910000-00010.
Topiwala, A., Allan, C. L., Valkanova, V., Zsoldos, E., Filippini, N., Sexton, C., Mahmood, A., Fooks, P., Singh-Manoux, A., Mackay, C. E., Kivimaki, M., & Ebmeier, K. P. (2017). Moderate alcohol consumption as risk factor for adverse brain outcomes and cognitive decline: longitudinal cohort study. Bmj-British Medical Journal, 357. https://doi.org/ARTN j235310.1136/bmj.j2353.
Topiwala, A., Ebmeier, K. P., Maullin-Sapey, T., & Nichols, T. E. (2022). Alcohol consumption and MRI markers of brain structure and function: Cohort study of 25,378 UK Biobank participants. Neuroimage Clin, 35, 103066. https://doi.org/10.1016/j.nicl.2022.103066.
Victor, R. G., Haley, R. W., Willett, D. L., Peshock, R. M., Vaeth, P. C., Leonard, D., Basit, M., Cooper, R. S., Iannacchione, V. G., Visscher, W. A., Staab, J. M., Hobbs, H. H., & Study, D. H., I (2004). The Dallas Heart Study: A population-based probability sample for the multidisciplinary study of ethnic differences in cardiovascular health. American Journal of Cardiology, 93(12), 1473–1480. https://doi.org/10.1016/j.amjcard.2004.02.058.
Wilson, S., Malone, S. M., Thomas, K. M., & Iacono, W. G. (2015). Adolescent drinking and brain morphometry: A co-twin control analysis. Developmental Cognitive Neuroscience, 16, 130–138. https://doi.org/10.1016/j.dcn.2015.07.005.
Wrase, J., Makris, N., Braus, D. F., Mann, K., Smolka, M. N., Kennedy, D. N., Caviness, V. S., Hodge, S. M., Tang, L., Albaugh, M., Ziegler, D. A., Davis, O. C., Kissling, C., Schumann, G., Breiter, H. C., & Heinz, A. (2008). Amygdala volume associated with alcohol abuse relapse and craving. American Journal of Psychiatry, 165(9), 1179–1184. https://doi.org/10.1176/appi.ajp.2008.07121877.
Zahr, N. M. (2014). Structural and microstructral imaging of the brain in alcohol use disorders. Handbook of Clinical Neurology, 125, 275–290. https://doi.org/10.1016/B978-0-444-62619-6.00017-3.
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This work was supported in part by grant UL1TR001105 from the National Center for Advancing Translational Science (https://ncats.nih.gov/), National Institutes of Health (NIH, https://www.nih.gov/), in part by the National Institute of Mental Health (https://www.nimh.nih.gov/index.shtml) of the National Institutes of Health under Award Number R25MH101078, and in part by NIH grant 1K99CA20452201 to CC. The content is solely the responsibility of the authors and does not necessarily represent the official views of the Center for Translational Medicine, The University of Texas Southwestern Medical Center and its affiliated academic and health care centers, the National Center for Advancing Translational Sciences, or the National Institutes of Health. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
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C.P. and E.S.B. conceived of the presented idea. C.P. and J.M.P. developed the theory and performed the computations. J.M.P. verified the analytic methods and F.F.Y. verified the neuroimaging methods. All authors discussed the results and contributed to the writing and/or editing of the final manuscript.
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Dr. Brown serves on advisory boards for Sage Pharmaceuticals and Medscape/WebMD on topics unrelated to the current paper. No other authors have any potential conflicts of interest to report.
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Pho, C., Yu, F.F., Palka, J.M. et al. The relationship between alcohol consumption and amygdala volume in a community-based sample. Brain Imaging and Behavior (2024). https://doi.org/10.1007/s11682-024-00879-6
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DOI: https://doi.org/10.1007/s11682-024-00879-6