Poster Presentations P2
S421
Table Correlations between functional connectivity, structural brain volumes, and episodic memory* All Univariate Models
High GM group Multivariate Model
Low GM group
Univariate Models
Multivariate Model
Univariate Models
Multivariate Model
MPF_LIP** 1.20(0.46), p¼0.01 1.33(0.43), p¼0.003 0.37(0.61), p¼0.56 0.47(0.53), p¼0.39 2.21(0.64), p¼0.002 2.25(0.63), p¼0.001 Total WMH -0.22(0.07), p¼0.002 -0.20(0.07), p¼0.005 -0.28(0.08), p¼0.002 -0.28(0.08), p¼0.002 -0.10(0.12), p¼0.40 -0.12(0.10), p¼0.24 (%TCV)*** Total Grey 8.54 (4.30), p¼0.05 5.40(4.19), p¼0.20 -1.02(9.70), p¼0.92 —— 2.62(9.90), p¼0.79 —— (%TCV) Abbreviations: GM ¼ Grey matter; WMH ¼ White matter hyperintensities; MPF_LIP ¼ Connectivity between medial prefrontal and left inferior parietal region; TCV ¼ total brain volume. * All models adjusted for gender and education. ** Absolute value of Fisher Z transformed correlation coefficient. ** Log transformed
ulation-based cohort study investigating age-related brain changes on MRI. We included 3962 persons (mean age 60.2 years (SD 8.6), 54.4% women) with complete MRI scans. Cerebellar and cerebral volumes were calculated using Freesurfer1. We used linear regression analyses to calculate the relationship between age, sex, and volumetric properties of the cerebellum and cerebrum. Results: Average intracranial volume was 1491.0 mL. Cerebellar volume was 134.3 mL in men and 122.4 mL in women. Cerebellar grey matter volume was 102.8 mL and white matter volume was 25.0 mL. Mean cerebral grey matter was 437.1 mL, white matter was 455.1 mL. The ratio of grey and white matter in the cerebellum showed a difference between males and females (p < 0.001). This was not found for the cerebrum (p ¼ 0.56). Age-related volume loss was 0.24 mL per year for cerebellar grey matter (p < 0.001), and 0.11 mL per year for cerebellar white matter (p < 0.001). In the cerebrum the volume loss per year was 0.96 mL (p < 0.001) for grey matter and 1.54 mL for white matter (p < 0.001). Conclusions: Cerebellar and cerebral volumes are larger in men than in women. The ratio of grey and white matter volumes is different for cerebellum and cerebrum. Cerebellar grey matter showed a larger age-related decline than cerebellar white matter, while in the cerebrum, a larger volume loss was found in white matter tissue. These data can serve as a reference for future studies on cerebellar volumes. 1. Fischl, B. et al. 2002. Neuron 33, 341355. P2-345
THE IMAP* PROJECT: WHITE MATTER SHRINKAGE IN THE POSTERIOR CINGULUM IS RELATED TO ATROPHY IN THE HIPPOCAMPUS SUBICULUM IN HEALTHY ELDERLY
Florence Mezenge1, Renaud La Joie1, Brigitte Landeau1, Francis Eustache1, Beatrice Desgranges1, Gael Chetelat1, 1Inserm U923, Caen, France. Figure. ROI selection P2-344
CEREBELLAR AND CEREBRAL GREY AND WHITE MATTER VOLUMES: THE ROTTERDAM STUDY
Jos van der Geest1, Yoo Young Hoogendam1, Albert Hofman1, M. Arfan Ikram1, Meike Vernooij1, Monique Breteler1, 1Erasmus MC, Rotterdam, Netherlands. Background: In research about aging of the brain, many researchers have showed an interest in supratentorial atrophy. Although population-based studies have widely investigated structural properties of the cerebrum, the cerebellum has received little attention. Studies in the general population on structural properties of the cerebellum are scarce. In a population-based study of community dwelling elderly we sought to investigate properties of the cerebellum to create normative estimates; to study the relationship with age and sex; and to study the interrelationship with cerebral volumes. Methods: The study is based on the Rotterdam Scan Study, an ongoing pop-
Background: Aging is characterized by widespread changes in brain structures, involving shrinkage of both grey and white matter (WM). The interest of studying WM changes is quite recent and underlying mechanisms need to be further investigated. As we previously highlighted a specific age effect on the volume of the hippocampus subiculum, we hypothesize that this could be paralleled by the shrinkage of specific WM tracts as a result of impaired subicular efferences. Methods: 61 healthy subjects aged 19 to 84 years from the IMAP* project underwent MRI examination on a 3-T scanner (CYCERON Center, Caen, France). T1-weighted data were handled with the VBM5 toolbox and analysis were conducted using the SPM5 software. High-resolution proton-density were used to manually delineate three hippocampal subparts: Subiculum, CA1 and Other, as previously described (La Joie et al., 2010). The effects of age were then assessed (i) on WM density maps and (ii) on the volumes (adjusted for total intracranial volume) of hippocampal subfields, and correlations between these two measures were then performed. Results: Age-related WM density decreases were found, mainly in the anterior corpus callosum (CC), prefrontal lobe, posterior CC/cingulum bundle and fornix (Figure a). Concerning hippocampal subfields, strong decrease with age