Kayle S Sawyer1,2,3, Marlene Oscar-Berman1,2,3,4,5, Susan Mosher Ruiz2,3,4, Daniel A Gálvez6, Nikos Makris3,7,8, Gordon J Harris3,9,10, Eve M Valera3,10. 1. Ph.D. Program in Behavioral Neuroscience, Graduate Medical Sciences, Boston University School of Medicine, Boston, Massachusetts. 2. VA Boston Healthcare System, Boston, Massachusetts. 3. Athinoula A. Martinos Center, Massachusetts General Hospital, Boston, Massachusetts. 4. Department of Anatomy & Neurobiology, Boston University School of Medicine, Boston, Massachusetts. 5. Departments of Psychiatry and Neurology, Boston University School of Medicine, Boston, Massachusetts. 6. College of Arts and Sciences, Boston University, Boston, Massachusetts. 7. Center for Morphometric Analysis, Massachusetts General Hospital, Boston, Massachusetts. 8. Harvard Medical School Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts. 9. Radiology Computer Aided Diagnostics Laboratory, Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts. 10. Harvard Medical School Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts.
Abstract
BACKGROUND: Alcoholism has been linked to deficits in cognitive, behavioral, and emotional functions, and the cerebellum is important for optimal functioning of these abilities. However, little is known about how individual differences such as gender and drinking history might influence regional cerebellar abnormalities. METHODS: Volumetric analyses of the cerebellum and its subregions were performed in relation to the interaction of gender and measures of drinking history. Structural magnetic resonance imaging scans of 44 alcoholic individuals (23 men) and 39 nonalcoholic controls (18 men) were obtained. In addition to measuring total cerebellar gray and white matter volumes, we measured 64 individual cerebellar parcellation units, as well as functionally defined a priori regions of interest that have been shown to correspond to functions impaired in alcoholism. RESULTS: Total cerebellar white matter volume was smaller in alcoholic relative to nonalcoholic participants. Moreover, volumes of parcellation units varied with drinking history, showing negative associations between years of heavy drinking and the anterior lobe, the vestibulocerebellar lobe, and the spinocerebellar subdivision. The negative association between anterior volume and years of heavy drinking was driven primarily by alcoholic men. Additionally, we observed larger white and gray matter volumes for alcoholic women than for alcoholic men. CONCLUSIONS: The identification of drinking-related abnormalities in cerebellar subregions lays a foundation that can be utilized to inform how cerebro-cerebellar networks are perturbed in this pathological condition. These results also provide estimates of how gender and individual differences in drinking history can predict cerebellar volumes.
BACKGROUND:Alcoholism has been linked to deficits in cognitive, behavioral, and emotional functions, and the cerebellum is important for optimal functioning of these abilities. However, little is known about how individual differences such as gender and drinking history might influence regional cerebellar abnormalities. METHODS: Volumetric analyses of the cerebellum and its subregions were performed in relation to the interaction of gender and measures of drinking history. Structural magnetic resonance imaging scans of 44 alcoholic individuals (23 men) and 39 nonalcoholic controls (18 men) were obtained. In addition to measuring total cerebellar gray and white matter volumes, we measured 64 individual cerebellar parcellation units, as well as functionally defined a priori regions of interest that have been shown to correspond to functions impaired in alcoholism. RESULTS:Total cerebellar white matter volume was smaller in alcoholic relative to nonalcoholic participants. Moreover, volumes of parcellation units varied with drinking history, showing negative associations between years of heavy drinking and the anterior lobe, the vestibulocerebellar lobe, and the spinocerebellar subdivision. The negative association between anterior volume and years of heavy drinking was driven primarily by alcoholic men. Additionally, we observed larger white and gray matter volumes for alcoholic women than for alcoholic men. CONCLUSIONS: The identification of drinking-related abnormalities in cerebellar subregions lays a foundation that can be utilized to inform how cerebro-cerebellar networks are perturbed in this pathological condition. These results also provide estimates of how gender and individual differences in drinking history can predict cerebellar volumes.
Authors: Edith V Sullivan; Antony J Harding; Roberta Pentney; Cynthia Dlugos; Peter R Martin; Mitchell H Parks; John E Desmond; S H Annabel Chen; Michelle R Pryor; Eve De Rosa; Adolf Pfefferbaum Journal: Alcohol Clin Exp Res Date: 2003-02 Impact factor: 3.455
Authors: Susan Mosher Ruiz; Marlene Oscar-Berman; Kayle S Sawyer; Mary M Valmas; Trinity Urban; Gordon J Harris Journal: Alcohol Clin Exp Res Date: 2012-06-22 Impact factor: 3.455
Authors: Simon J C Davies; Smita A Pandit; Adrian Feeney; Brian J Stevenson; Robert W Kerwin; David J Nutt; E Jane Marshall; Stephen Boddington; Anne Lingford-Hughes Journal: Alcohol Alcohol Date: 2005-09-26 Impact factor: 2.826
Authors: Nikos Makris; Steven M Hodge; Christian Haselgrove; David N Kennedy; Anders Dale; Bruce Fischl; Bruce R Rosen; Gordon Harris; Verne S Caviness; Jeremy D Schmahmann Journal: J Cogn Neurosci Date: 2003-05-15 Impact factor: 3.225
Authors: Marlene Oscar-Berman; Mary M Valmas; Kayle S Sawyer; Shalene M Kirkley; David A Gansler; Diane Merritt; Ashley Couture Journal: Neuropsychiatr Dis Treat Date: 2009-06-10 Impact factor: 2.570
Authors: Rosemary Fama; Anne-Pascale Le Berre; Stephanie A Sassoon; Natalie M Zahr; Kilian M Pohl; Adolf Pfefferbaum; Edith V Sullivan Journal: Brain Struct Funct Date: 2019-06-03 Impact factor: 3.270
Authors: Edith V Sullivan; Ty Brumback; Susan F Tapert; Sandra A Brown; Fiona C Baker; Ian M Colrain; Devin Prouty; Michael D De Bellis; Duncan B Clark; Bonnie J Nagel; Kilian M Pohl; Adolf Pfefferbaum Journal: Biol Psychiatry Date: 2019-09-09 Impact factor: 13.382
Authors: Edith V Sullivan; Eileen M Moore; Barton Lane; Kilian M Pohl; Edward P Riley; Adolf Pfefferbaum Journal: Cereb Cortex Date: 2020-07-30 Impact factor: 5.357
Authors: Susan Mosher Ruiz; Marlene Oscar-Berman; Maaria I Kemppainen; Mary M Valmas; Kayle S Sawyer Journal: Alcohol Alcohol Date: 2017-07-01 Impact factor: 2.826
Authors: Ana María Rivas-Grajales; Kayle S Sawyer; Sarina Karmacharya; George Papadimitriou; Joan A Camprodon; Gordon J Harris; Marek Kubicki; Marlene Oscar-Berman; Nikos Makris Journal: Neuroimage Clin Date: 2018-03-22 Impact factor: 4.881