title: Determinants of cerebellar and cerebral volume in the general elderly population.
abstract: In a population-based study of 3962 community-dwelling nondemented elderly we investigated the relation of age, sex, cardiovascular risk factors, and the presence of infarcts with cerebellar volume, and its interrelationship with cerebral volumes. Cerebellar and cerebral gray and white matter were segmented using Freesurfer version 4.5 (http://surfer.nmr.mgh.harvard.edu/). We used linear regression analyses to model the relationship between age, sex, cardiovascular risk factors, brain infarcts, white matter lesions (WMLs) and cerebellar and cerebral volume. Smaller cerebellar volumes with increasing age were mainly driven by loss of white matter. Diabetes, higher serum glucose and lower cholesterol levels were related to smaller cerebellar volume. No association was found between hypertension, smoking, apolipoprotein E (ApoE) genotype, and cerebellar volume. Supratentorial lacunar infarcts and WMLs were related to smaller cerebellar volume. Infratentorial infarcts were related to smaller cerebellar white matter volume and total cerebral volume. This study suggests that determinants of cerebellar volume do not entirely overlap with those established for cerebral volume. Furthermore, presence of infarcts or WMLs in the cerebrum can affect cerebellar volume.
authors.affiliation: Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands.
authors.forename: Yoo Young
authors.initials: YY
authors.lastname: Hoogendam
authors.forename: Jos N
authors.initials: JN
authors.lastname: van der Geest
authors.forename: Fedde
authors.initials: F
authors.lastname: van der Lijn
authors.forename: Aad
authors.initials: A
authors.lastname: van der Lugt
authors.forename: Wiro J
authors.initials: WJ
authors.lastname: Niessen
authors.forename: Gabriel P
authors.initials: GP
authors.lastname: Krestin
authors.forename: Albert
authors.initials: A
authors.lastname: Hofman
authors.forename: Meike W
authors.initials: MW
authors.lastname: Vernooij
authors.forename: Monique M B
authors.initials: MM
authors.lastname: Breteler
authors.forename: M Arfan
authors.initials: MA
authors.lastname: Ikram
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D000375:Aging / Q000473:pathology*; D001057:Apolipoproteins E / Q000235:genetics; D002318:Cardiovascular Diseases / Q000453:epidemiology / Q000473:pathology; D002531:Cerebellum / Q000473:pathology*; D002540:Cerebral Cortex / Q000473:pathology*; D002544:Cerebral Infarction / Q000453:epidemiology / Q000473:pathology; D015331:Cohort Studies; D018672:Community Health Planning; D003920:Diabetes Mellitus / Q000453:epidemiology / Q000473:pathology; D005260:Female; D006801:Humans; D006973:Hypertension / Q000453:epidemiology / Q000473:pathology; D007091:Image Processing, Computer-Assisted; D016014:Linear Models; D008279:Magnetic Resonance Imaging; D008297:Male; D008875:Middle Aged; D009426:Netherlands; D012189:Retrospective Studies; D012307:Risk Factors
chemical_list: D001057:Apolipoproteins E