Cerebellar Volume in Offspring from Multiplex Alcohol Dependence Families

Overview

Journal Biol Psychiatry

Publisher Elsevier

Specialty Psychiatry

Date 2006 Mar 15

PMID 16533498

Citations 47

Authors

Shirley Y Hill

Srirangam Muddasani

Konasale Prasad

Jeffrey Nutche

Stuart R Steinhauer

Joelle Scanlon

Michael McDermott

Matcheri Keshavan

Affiliations

Soon will be listed here.

Abstract

Background: Increased susceptibility for developing alcohol dependence (AD) might be related to structural differences in brain circuits that influence the salience of rewards and/or modify the efficiency of information processing. The role of the cerebellum in regulating cognitive functions is being increasingly recognized along with its well-known influence on motor performance. Additionally, developmental changes in cerebellar volume during adolescence have been reported.

Methods: Magnetic resonance imaging was used to measure the cerebellum in 17 high-risk adolescent and young adult offspring from multiplex alcohol dependence families and 16 control subjects matched for gender, age, and IQ.

Results: High-risk (HR) adolescents/young adults showed increased total cerebellum volume and total grey in comparison with control subjects. Age-related decreases in total grey volume were seen with age, a pattern that was not seen in HR offspring.

Conclusions: Offspring from multiplex families for AD manifest genetic susceptibility by having larger cerebellar volume, which seems to be related to lesser grey matter pruning for age. Larger cerebellar volumes in adult obsessive compulsive disorder (OCD) patients have been reported. This suggests a possible similarity in structural underpinnings for alcohol dependence and OCD.

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References

Giedd J, Vaituzis A, Hamburger S, Lange N, Rajapakse J, Kaysen D . Quantitative MRI of the temporal lobe, amygdala, and hippocampus in normal human development: ages 4-18 years. J Comp Neurol. 1996; 366(2):223-30. DOI: 10.1002/(SICI)1096-9861(19960304)366:2<223::AID-CNE3>3.0.CO;2-7. View

Nakao T, Nakagawa A, Yoshiura T, Nakatani E, Nabeyama M, Yoshizato C . Brain activation of patients with obsessive-compulsive disorder during neuropsychological and symptom provocation tasks before and after symptom improvement: a functional magnetic resonance imaging study. Biol Psychiatry. 2005; 57(8):901-10. DOI: 10.1016/j.biopsych.2004.12.039. View

Berquin P, Giedd J, JACOBSEN L, Hamburger S, Krain A, Rapoport J . Cerebellum in attention-deficit hyperactivity disorder: a morphometric MRI study. Neurology. 1998; 50(4):1087-93. DOI: 10.1212/wnl.50.4.1087. View

Reich W, Earls F, Frankel O, Shayka J . Psychopathology in children of alcoholics. J Am Acad Child Adolesc Psychiatry. 1993; 32(5):995-1002. DOI: 10.1097/00004583-199309000-00017. View

Hegedus A, Tarter R, Hill S, Jacob T, Winsten N . Static ataxia: a possible marker for alcoholism. Alcohol Clin Exp Res. 1984; 8(6):580-2. DOI: 10.1111/j.1530-0277.1984.tb05735.x. View

James A, James S, Smith D, Javaloyes A . Cerebellar, prefrontal cortex, and thalamic volumes over two time points in adolescent-onset schizophrenia. Am J Psychiatry. 2004; 161(6):1023-9. DOI: 10.1176/appi.ajp.161.6.1023. View

Giedd J, Blumenthal J, Jeffries N, Castellanos F, Liu H, Zijdenbos A . Brain development during childhood and adolescence: a longitudinal MRI study. Nat Neurosci. 1999; 2(10):861-3. DOI: 10.1038/13158. View

Townsend J, Westerfield M, Leaver E, Makeig S, Jung T, Pierce K . Event-related brain response abnormalities in autism: evidence for impaired cerebello-frontal spatial attention networks. Brain Res Cogn Brain Res. 2001; 11(1):127-45. DOI: 10.1016/s0926-6410(00)00072-0. View

Pfefferbaum A, Mathalon D, Sullivan E, Rawles J, Zipursky R, Lim K . A quantitative magnetic resonance imaging study of changes in brain morphology from infancy to late adulthood. Arch Neurol. 1994; 51(9):874-87. DOI: 10.1001/archneur.1994.00540210046012. View

10.

Lipscomb T, Carpenter J, Nathan P . Static ataxia: a predictor of alcoholism?. Br J Addict Alcohol Other Drugs. 1979; 74(3):289-94. DOI: 10.1111/j.1360-0443.1979.tb01350.x. View

11.

Busatto G, Zamignani D, Buchpiguel C, Garrido G, Glabus M, Rocha E . A voxel-based investigation of regional cerebral blood flow abnormalities in obsessive-compulsive disorder using single photon emission computed tomography (SPECT). Psychiatry Res. 2000; 99(1):15-27. DOI: 10.1016/s0925-4927(00)00050-0. View

12.

Pierson R, Corson P, Sears L, Alicata D, Magnotta V, OLeary D . Manual and semiautomated measurement of cerebellar subregions on MR images. Neuroimage. 2002; 17(1):61-76. DOI: 10.1006/nimg.2002.1207. View

13.

Drejer K, Theilgaard A, Teasdale T, SCHULSINGER F, Goodwin D . A prospective study of young men at high risk for alcoholism: neuropsychological assessment. Alcohol Clin Exp Res. 1985; 9(6):498-502. DOI: 10.1111/j.1530-0277.1985.tb05590.x. View

14.

Magnotta V, Harris G, Andreasen N, OLeary D, Yuh W, Heckel D . Structural MR image processing using the BRAINS2 toolbox. Comput Med Imaging Graph. 2002; 26(4):251-64. DOI: 10.1016/s0895-6111(02)00011-3. View

15.

Denckla M . Revised Neurological Examination for Subtle Signs (1985). Psychopharmacol Bull. 1985; 21(4):773-800. View

16.

Knop J, Teasdale T, SCHULSINGER F, Goodwin D . A prospective study of young men at high risk for alcoholism: school behavior and achievement. J Stud Alcohol. 1985; 46(4):273-8. DOI: 10.15288/jsa.1985.46.273. View

17.

Shumway-Cook A, Woollacott M . The growth of stability: postural control from a development perspective. J Mot Behav. 1985; 17(2):131-47. DOI: 10.1080/00222895.1985.10735341. View

18.

Sowell E, Thompson P, Leonard C, Welcome S, Kan E, Toga A . Longitudinal mapping of cortical thickness and brain growth in normal children. J Neurosci. 2004; 24(38):8223-31. PMC: 6729679. DOI: 10.1523/JNEUROSCI.1798-04.2004. View

19.

Paus T . Mapping brain maturation and cognitive development during adolescence. Trends Cogn Sci. 2005; 9(2):60-8. DOI: 10.1016/j.tics.2004.12.008. View

20.

Brown S, Tapert S, Granholm E, Delis D . Neurocognitive functioning of adolescents: effects of protracted alcohol use. Alcohol Clin Exp Res. 2000; 24(2):164-71. View