Family history density of alcoholism relates to left nucleus accumbens volume in adolescent girls

Journal of Studies on Alcohol and Drugs

Volumn 76, Issue 1, 2015, Pages 47-56

  Cservenka, Anita ^a   Gillespie, Alicia J ^a   Michael, Paul G ^b   Nagel, Bonnie J ^a  

^a OREGON HEALTH AND SCIENCE UNIVERSITY   (United States)

^b PACIFIC UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADOLESCENT; ALCOHOL-RELATED DISORDERS; ALCOHOLISM; BRAIN; CHILD; FAMILY; FEMALE; HUMAN; MALE; METABOLISM; NUCLEAR MAGNETIC RESONANCE IMAGING; NUCLEUS ACCUMBENS; PROCEDURES; REWARD; RISK FACTOR;

ADOLESCENT; ALCOHOL-RELATED DISORDERS; ALCOHOLISM; BRAIN; CHILD; FAMILY; FEMALE; HUMANS; MAGNETIC RESONANCE IMAGING; MALE; NUCLEUS ACCUMBENS; REWARD; RISK FACTORS;

EID: 84916613418     PISSN: 19371888     EISSN: 19384114     Source Type: Journal    
DOI: 10.15288/jsad.2015.76.47     Document Type: Article

References (78)

1. Agartz, I., Momenan, R., Rawlings, R. R., Kerich, M. J., & Hommer, D. W. (1999). Hippocampal volume in patients with alcohol dependence. Archives of General Psychiatry, 56, 356-363.
2. American Psychiatric Association. (1994). Diagnostic and statistical manual of mental disorders (4th ed.). Washington, DC: Author.
3. Andrews, M. M., Meda, S. A., Thomas, A. D., Potenza, M. N., Krystal, J. H., Worhunsky, P., Pearlson, G. D. (2011). Individuals family history positive for alcoholism show functional magnetic resonance imaging differences in reward sensitivity that are related to impulsivity factors. Biological Psychiatry, 69, 675-683.
4. Bechara, A., Damasio, H., & Damasio, A. R. (2000). Emotion, decision making and the orbitofrontal cortex. Cerebral Cortex, 10, 295-307.
5. 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, 122-132.
6. Bjork, J. M., Knutson, B., & Hommer, D. W. (2008). Incentive-elicited striatal activation in adolescent children of alcoholics. Addiction, 103, 1308-1319.
7. Boccardi, M., Almici, M., Bresciani, L., Caroli, A., Bonetti, M., Monchieri, S., Frisoni, G. B. (2010). Clinical and medial temporal features in a family with mood disorders. Neuroscience Letters, 468, 93-97.
8. Brown, S. A., Myers, M. G., Lippke, L., Tapert, S. F., Stewart, D. G., & Vik, P. W. (1998). Psychometric evaluation of the Customary Drinking and Drug Use Record (CDDR): A measure of adolescent alcohol and drug involvement. Journal of Studies on Alcohol, 59, 427-438.
9. Brown, S. A., Myers, M. G., Mott, M. A., & Vik, P. W. (1994). Correlates of success following treatment for adolescent substance abuse. Applied & Preventive Psychology, 3, 61-73.
10. Carskadon, M. A., & Acebo, C. (1993). A self-administered rating scale for pubertal development. Journal of Adolescent Health, 14, 190-195.
11. Ceylan-Isik, A. F., McBride, S. M., & Ren, J. (2010). Sex difference in alcoholism: Who is at a greater risk for development of alcoholic complication? Life Sciences, 87, 133-138.
12. Cotton, N. S. (1979). The familial incidence of alcoholism: A review. Journal of Studies on Alcohol, 40, 89-116.
13. Cservenka, A., Casimo, K., Fair, D. A., & Nagel, B. J. (2014a). Resting state functional connectivity of the nucleus accumbens in youth with a family history of alcoholism. Psychiatry Research: Neuroimaging, 221, 210-219.
14. Cservenka, A., Fair, D. A., & Nagel, B. J. (2014b). Emotional processing and brain activity in youth at high risk for alcoholism. Alcoholism: Clinical and Experimental Research, 38, 1912-1923.
15. Cservenka, A., Herting, M. M., & Nagel, B. J. (2012). Atypical frontal lobe activity during verbal working memory in youth with a family history of alcoholism. Drug and Alcohol Dependence, 123, 98-104.
16. Cservenka, A., & Nagel, B. J. (2012). Risky decision-making: An FMRI study of youth at high risk for alcoholism. Alcoholism: Clinical and Experimental Research, 36, 604-615.
17. Dawson, D. A., Harford, T. C., & Grant, B. F. (1992). Family history as a predictor of alcohol dependence. Alcoholism: Clinical and Experimental Research, 16, 572-575.
18. De Bellis, M. D., Clark, D. B., Beers, S. R., Soloff, P. H., Boring, A. M., Hall, J., Keshavan, M. S. (2000). Hippocampal volume in adolescent- onset alcohol use disorders. American Journal of Psychiatry, 157, 737-744.
19. De Bellis, M. D., Narasimhan, A., Thatcher, D. L., Keshavan, M. S., Soloff, P., & Clark, D. B. (2005). Prefrontal cortex, thalamus, and cerebellar volumes in adolescents and young adults with adolescent-onset alcohol use disorders and comorbid mental disorders. Alcoholism: Clinical and Experimental Research, 29, 1590-1600.
20. Dennison, M., Whittle, S., Yücel, M., Vijayakumar, N., Kline, A., Simmons, J., & Allen, N. B. (2013). Mapping subcortical brain maturation during adolescence: Evidence of hemisphere- and sex-specific longitudinal changes. Developmental Science, 16, 772-791.
21. 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, 1187-1200.
22. Ernst, M., Nelson, E. E., Jazbec, S., McClure, E. B., Monk, C. S., Leibenluft, E., Pine, D. S. (2005). Amygdala and nucleus accumbens in responses to receipt and omission of gains in adults and adolescents. NeuroImage, 25, 1279-1291.
23. Ernst, M., Pine, D. S., & Hardin, M. (2006). Triadic model of the neurobiology of motivated behavior in adolescence. Psychological Medicine, 36, 299-312.
24. Fein, G., & Fein, D. (2013). Subcortical volumes are reduced in short-term and long-term abstinent alcoholics but not those with a comorbid stimulant disorder. NeuroImage: Clinical, 3, 47-53.
25. Fein, G., Greenstein, D., Cardenas, V. A., Cuzen, N. L., Fouche, J.-P., Ferrett, H., Stein, D. J. (2013). Cortical and subcortical volumes in adolescents with alcohol dependence but without substance or psychiatric comorbidities. Psychiatry Research: Neuroimaging, 214, 1-8.
26. Galvan, A. (2010). Adolescent development of the reward system. Frontiers in Human Neuroscience, 4, 6.
27. Galvan, A., Hare, T. A., Parra, C. E., Penn, J., Voss, H., Glover, G., & Casey, B. J. (2006). Earlier development of the accumbens relative to orbitofrontal cortex might underlie risk-taking behavior in adolescents. Journal of Neuroscience, 26, 6885-6892.
28. Giedd, J. N., Castellanos, F. X., Rajapakse, J. C., Vaituzis, A. C., & Rapoport, J. L. (1997). Sexual dimorphism of the developing human brain. Progress in Neuro-Psychopharmacology & Biological Psychiatry, 21, 1185-1201.
29. Gilman, J. M., Bjork, J. M., & Hommer, D. W. (2007). Parental alcohol use and brain volumes in early- and late-onset alcoholics. Biological Psychiatry, 62, 607-615.
30. Groenewegen, H. J., Berendse, H. W., Wolters, J. G., & Lohman, A. H. M. (1991). The anatomical relationship of the prefrontal cortex with the striatopallidal system, the thalamus and the amygdala: Evidence for a parallel organization. Progress in Brain Research, 85, 95-118.
31. Hanson, K. L., Medina, K. L., Nagel, B. J., Spadoni, A. D., Gorlick, A., & Tapert, S. F. (2010). Hippocampal volumes in adolescents with and without a family history of alcoholism. American Journal of Drug and Alcohol Abuse, 36, 161-167.
32. Herting, M. M., Fair, D., & Nagel, B. J. (2011). Altered fronto-cerebellar connectivity in alcohol-naïve youth with a family history of alcoholism. NeuroImage, 54, 2582-2589.
33. 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 off spring from families at high risk for developing alcoholism. Biological Psychiatry, 49, 894-905.
34. Hill, S. Y., Lichenstein, S., Wang, S., Carter, H., & McDermott, M. (2013a). Caudate volume in off spring at ultra high risk for alcohol dependence: COMT Val158Met, DRD2, externalizing disorders, and working memory. Advances in Molecular Imaging, 3, 43-54.
35. Hill, S. Y., Muddasani, S., Prasad, K., Nutche, J., Steinhauer, S. R., Scanlon, J., Keshavan, M. (2007). Cerebellar volume in off spring from multiplex alcohol dependence families. Biological Psychiatry, 61, 41-47.
36. Hill, S. Y., Wang, S., Carter, H., McDermott, M. D., Zezza, N., & Stiffler, S. (2013b). Amygdala volume in off spring from multiplex for alcohol dependence families: The moderating influence of childhood environment and 5-HTTLPR. Journal of Alcoholism and Drug Dependence, S1, 1-9.
37. Hill, S. Y., Wang, S., Carter, H., Tessner, K., Holmes, B., McDermott, M., Stiffler, S. (2011). Cerebellum volume in high-risk off spring from multiplex alcohol dependence families: Association with allelic variation in GABRA2 and BDNF. Psychiatry Research: Neuroimaging, 194, 304-313.
38. Hill, S. Y., Wang, S., Kostelnik, B., Carter, H., Holmes, B., McDermott, M., Keshavan, M. S. (2009). Disruption of orbitofrontal cortex laterality in off spring from multiplex alcohol dependence families. Biological Psychiatry, 65, 129-136.
39. Hill, S. Y., & Yuan, H. (1999). Familial density of alcoholism and onset of adolescent drinking. Journal of Studies on Alcohol, 60, 7-17.
40. Hollingshead, A. B. (1957). Two factor index of social position. New Haven, CT: Author.
41. Howell, N. A., Worbe, Y., Lange, I., Tait, R., Irvine, M., Banca, P., Voon, V. (2013). Increased ventral striatal volume in college-aged binge drinkers. PLoS ONE, 8, (9), e74164.
42. Jacob, T., Waterman, B., Heath, A., True, W., Bucholz, K. K., Haber, R., Fu, Q. (2003). Genetic and environmental effects on off spring alcoholism: New insights using an off spring-of-twins design. Archives of General Psychiatry, 60, 1265-1272.
43. Keyes, K. M., Martins, S. S., Blanco, C., & Hasin, D. S. (2010). Telescoping and gender differences in alcohol dependence: New evidence from two national surveys. American Journal of Psychiatry, 167, 969-976.
44. Koob, G. F. (2013). Addiction is a reward deficit and stress surfeit disorder. Frontiers in Psychiatry, 4, 72.
45. Le Berre, A.-P., Rauchs, G., La Joie, R., Mézenge, F., Boudehent, C., Vabret, F., Beaunieux, H. (2014). Impaired decision-making and brain shrinkage in alcoholism. European Psychiatry, 29, 125-133.
46. Lucas, C. P., Zhang, H., Fisher, P. W., Shaffer, D., Regier, D. A., Narrow, W. E., Rubio-Stipec, M. (2001). The DISC Predictive Scales (DPS): Efficiently screening for diagnoses. Journal of the American Academy of Child and Adolescent Psychiatry, 40, 443-449.
47. Mackiewicz Seghete, K. L., Cservenka, A., Herting, M. M., & Nagel, B. J. (2013). Atypical spatial working memory and task-general brain activity in adolescents with a family history of alcoholism. Alcoholism: Clinical and Experimental Research, 37, 390-398.
48. Makris, N., Oscar-Berman, M., Jaffin, S. K., Hodge, S. M., Kennedy, D. N., Caviness, V. S., Harris, G. J. (2008). Decreased volume of the brain reward system in alcoholism. Biological Psychiatry, 64, 192-202.
49. Merikangas, K. R., Stolar, M., Stevens, D. E., Goulet, J., Preisig, M. A., Fenton, B., Rounsaville, B. J. (1998). Familial transmission of substance use disorders. Archives of General Psychiatry, 55, 973-979.
50. Morey, R. A., Petty, C. M., Xu, Y., Hayes, J. P., Wagner, H. R., II, Lewis, D. V., McCarthy, G. (2009). A comparison of automated segmentation and manual tracing for quantifying hippocampal and amygdala volumes. NeuroImage, 45, 855-866.
51. Nagel, B. J., Schweinsburg, A. D., Phan, V., & Tapert, S. F. (2005). Reduced hippocampal volume among adolescents with alcohol use disorders without psychiatric comorbidity. Psychiatry Research: Neuroimaging, 139, 181-190.
52. Oldfield, R. C. (1971). The assessment and analysis of handedness: The Edinburgh inventory. Neuropsychologia, 9, 97-113.
53. Ozsoy, S., Durak, A. C., & Esel, E. (2013). Hippocampal volumes and cognitive functions in adult alcoholic patients with adolescent-onset. Alcohol, 47, 9-14.
54. Patenaude, B., Smith, S. M., Kennedy, D. N., & Jenkinson, M. (2011). A Bayesian model of shape and appearance for subcortical brain segmentation. NeuroImage, 56, 907-922.
55. Petersen, A. C., Crockett, L., Richards, M., & Boxer, A. (1988). A selfreport measure of pubertal status: Reliability, validity, and initial norms. Journal of Youth and Adolescence, 17, 117-133.
56. Rice, J. P., Reich, T., Bucholz, K. K., Neuman, R. J., Fishman, R., Rochberg, N., Begleiter, H. (1995). Comparison of direct interview and family history diagnoses of alcohol dependence. Alcoholism: Clinical and Experimental Research, 19, 1018-1023.
57. Romanczuk-Seiferth, N., Pöhland, L., Mohnke, S., Garbusow, M., Erk, S., Haddad, L., Heinz, A. (2014). Larger amygdala volume in first-degree relatives of patients with major depression. NeuroImage: Clinical, 5, 62-68.
58. Rubia, K., Smith, A. B., Woolley, J., Nosarti, C., Heyman, I., Taylor, E., & Brammer, M. (2006). Progressive increase of frontostriatal brain activation from childhood to adulthood during event-related tasks of cognitive control. Human Brain Mapping, 27, 973-993.
59. Sameti, M., Smith, S., Patenaude, B., & Fein, G. (2011). Subcortical volumes in long-term abstinent alcoholics: Associations with psychiatric comorbidity. Alcoholism: Clinical and Experimental Research, 35, 1067-1080.
60. Schuckit, M. A., Daeppen, J.-B., Tipp, J. E., Hesselbrock, M., & Bucholz, K. K. (1998). The clinical course of alcohol-related problems in alcohol dependent and nonalcohol dependent drinking women and men. Journal of Studies on Alcohol, 59, 581-590.
61. Schweinsburg, A. D., Paulus, M. P., Barlett, V. C., Killeen, L. A., Caldwell, L. C., Pulido, C., Tapert, S. F. (2004). An fMRI study of response inhibition in youths with a family history of alcoholism. Annals of the New York Academy of Sciences, 1021, 391-394.
62. Silveri, M. M., Rogowska, J., McCaffrey, A., & Yurgelun-Todd, D. A. (2011). Adolescents at risk for alcohol abuse demonstrate altered frontal lobe activation during Stroop performance. Alcoholism: Clinical and Experimental Research, 35, 218-228.
63. Silveri, M. M., Tzilos, G. K., & Yurgelun-Todd, D. A. (2008). Relationship between white matter volume and cognitive performance during adolescence: Effects of age, sex and risk for drug use. Addiction, 103, 1509-1520.
64. Sjoerds, Z., Van Tol, M.-J., Van den Brink, W., Van der Wee, N. J. A., Van Buchem, M. A., Aleman, A., Veltman, D. J. (2013). Family history of alcohol dependence and gray matter abnormalities in non-alcoholic adults. The World Journal of Biological Psychiatry, 14, 565-573.
65. Spadoni, A. D., Simmons, A. N., Yang, T. T., & Tapert, S. F. (2013). Family history of alcohol use disorders and neuromaturation: A functional connectivity study with adolescents. American Journal of Drug and Alcohol Abuse, 39, 356-364.
66. Squeglia, L. M., Rinker, D. A., Bartsch, H., Castro, N., Chung, Y., Dale, A. M., Tapert, S. F. (2014). Brain volume reductions in adolescent heavy drinkers. Developmental Cognitive Neuroscience, 9, 117-125.
67. Stein, J. L., Hibar, D. P., Madsen, S. K., Khamis, M., McMahon, K. L., de Zubicaray, G. I., Thompson, P. M. (2011). Discovery and replication of dopamine-related gene effects on caudate volume in young and elderly populations (N = 1198) using genome-wide search. Molecular Psychiatry, 16, 927-937.
68. Stoltenberg, S. F., Mudd, S. A., Blow, F. C., & Hill, E. M. (1998). Evaluating measures of family history of alcoholism: Density versus dichotomy. Addiction, 93, 1511-1520.
69. Sullivan, E. V., Deshmukh, A., De Rosa, E., Rosenbloom, M. J., & Pfefferbaum, A. (2005). Striatal and forebrain nuclei volumes: Contribution to motor function and working memory deficits in alcoholism. Biological Psychiatry, 57, 768-776.
70. Urošević, S., Collins, P., Muetzel, R., Lim, K., & Luciana, M. (2012). Longitudinal changes in behavioral approach system sensitivity and brain structures involved in reward processing during adolescence. Developmental Psychology, 48, 1488-1500.
71. Urošević, S., Collins, P., Muetzel, R., Schissel, A., Lim, K. O., & Luciana, M. (2014). Effects of reward sensitivity and regional brain volumes on substance use initiation in adolescence. Social Cognitive and Affective Neuroscience. Advance online publication.
72. Wechsler, D. (1999). Wechsler Abbreviated Scale of Intelligence. San Antonio, TX: Psychological Corporation.
73. Weiland, B. J., Welsh, R. C., Yau, W. Y., Zucker, R. A., Zubieta, J. K., & Heitzeg, M. M. (2013). Accumbens functional connectivity during reward mediates sensation-seeking and alcohol use in high-risk youth. Drug and Alcohol Dependence, 128, 130-139.
74. Wetherill, R. R., Bava, S., Thompson, W. K., Boucquey, V., Pulido, C., Yang, T. T., & Tapert, S. F. (2012). Frontoparietal connectivity in substancenaïve youth with and without a family history of alcoholism. Brain Research, 1432, 66-73.
75. Wrase, J., Makris, N., Braus, D. F., Mann, K., Smolka, M. N., Kennedy, D. N., Heinz, A. (2008). Amygdala volume associated with alcohol abuse relapse and craving. American Journal of Psychiatry, 165, 1179-1184.
76. Yarosh, H. L., Hyatt, C. J., Meda, S. A., Jiantonio-Kelly, R., Potenza, M. N., Assaf, M., & Pearlson, G. D. (2014). Relationships between reward sensitivity, risk-taking and family history of alcoholism during an interactive competitive fMRI task. PLoS ONE, 9, (2), e88188.
77. Yau, W. Y., Zubieta, J. K., Weiland, B. J., Samudra, P. G., Zucker, R. A., & Heitzeg, M. M. (2012). Nucleus accumbens response to incentive stimuli anticipation in children of alcoholics: Relationships with precursive behavioral risk and lifetime alcohol use. Journal of Neuroscience, 32, 2544-2551.
78. Zhang, Y., Brady, M., & Smith, S. (2001). Segmentation of brain MR images through a hidden Markov random field model and the expectationmaximization algorithm. IEEE Transactions on Medical Imaging, 20, 45-57.