11
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Risk and protective factors for structural brain ageing in the eighth decade of life

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Individuals differ markedly in brain structure, and in how this structure degenerates during ageing. In a large sample of human participants (baseline n = 731 at age 73 years; follow-up n = 488 at age 76 years), we estimated the magnitude of mean change and variability in changes in MRI measures of brain macrostructure (grey matter, white matter, and white matter hyperintensity volumes) and microstructure (fractional anisotropy and mean diffusivity from diffusion tensor MRI). All indices showed significant average change with age, with considerable heterogeneity in those changes. We then tested eleven socioeconomic, physical, health, cognitive, allostatic (inflammatory and metabolic), and genetic variables for their value in predicting these differences in changes. Many of these variables were significantly correlated with baseline brain structure, but few could account for significant portions of the heterogeneity in subsequent brain change. Physical fitness was an exception, being correlated both with brain level and changes. The results suggest that only a subset of correlates of brain structure are also predictive of differences in brain ageing.

          Electronic supplementary material

          The online version of this article (doi:10.1007/s00429-017-1414-2) contains supplementary material, which is available to authorized users.

          Related collections

          Most cited references31

          • Record: found
          • Abstract: not found
          • Article: not found

          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

            Bookmark
            • Record: found
            • Abstract: found
            • Article: found
            Is Open Access

            The Lothian Birth Cohort 1936: a study to examine influences on cognitive ageing from age 11 to age 70 and beyond

            Background Cognitive ageing is a major burden for society and a major influence in lowering people's independence and quality of life. It is the most feared aspect of ageing. There are large individual differences in age-related cognitive changes. Seeking the determinants of cognitive ageing is a research priority. A limitation of many studies is the lack of a sufficiently long period between cognitive assessments to examine determinants. Here, the aim is to examine influences on cognitive ageing between childhood and old age. Methods/Design The study is designed as a follow-up cohort study. The participants comprise surviving members of the Scottish Mental Survey of 1947 (SMS1947; N = 70,805) who reside in the Edinburgh area (Lothian) of Scotland. The SMS1947 applied a valid test of general intelligence to all children born in 1936 and attending Scottish schools in June 1947. A total of 1091 participants make up the Lothian Birth Cohort 1936. They undertook: a medical interview and examination; physical fitness testing; extensive cognitive testing (reasoning, memory, speed of information processing, and executive function); personality, quality of life and other psycho-social questionnaires; and a food frequency questionnaire. They have taken the same mental ability test (the Moray House Test No. 12) at age 11 and age 70. They provided blood samples for DNA extraction and testing and other biomarker analyses. Here we describe the background and aims of the study, the recruitment procedures and details of numbers tested, and the details of all examinations. Discussion The principal strength of this cohort is the rarely captured phenotype of lifetime cognitive change. There is additional rich information to examine the determinants of individual differences in this lifetime cognitive change. This protocol report is important in alerting other researchers to the data available in the cohort.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              Relationships of peripheral IGF-1, VEGF and BDNF levels to exercise-related changes in memory, hippocampal perfusion and volumes in older adults.

              Animal models point towards a key role of brain-derived neurotrophic factor (BDNF), insulin-like growth factor-I (IGF-I) and vascular endothelial growth factor (VEGF) in mediating exercise-induced structural and functional changes in the hippocampus. Recently, also platelet derived growth factor-C (PDGF-C) has been shown to promote blood vessel growth and neuronal survival. Moreover, reductions of these neurotrophic and angiogenic factors in old age have been related to hippocampal atrophy, decreased vascularization and cognitive decline. In a 3-month aerobic exercise study, forty healthy older humans (60 to 77years) were pseudo-randomly assigned to either an aerobic exercise group (indoor treadmill, n=21) or to a control group (indoor progressive-muscle relaxation/stretching, n=19). As reported recently, we found evidence for fitness-related perfusion changes of the aged human hippocampus that were closely linked to changes in episodic memory function. Here, we test whether peripheral levels of BDNF, IGF-I, VEGF or PDGF-C are related to changes in hippocampal blood flow, volume and memory performance. Growth factor levels were not significantly affected by exercise, and their changes were not related to changes in fitness or perfusion. However, changes in IGF-I levels were positively correlated with hippocampal volume changes (derived by manual volumetry and voxel-based morphometry) and late verbal recall performance, a relationship that seemed to be independent of fitness, perfusion or their changes over time. These preliminary findings link IGF-I levels to hippocampal volume changes and putatively hippocampus-dependent memory changes that seem to occur over time independently of exercise. We discuss methodological shortcomings of our study and potential differences in the temporal dynamics of how IGF-1, VEGF and BDNF may be affected by exercise and to what extent these differences may have led to the negative findings reported here.
                Bookmark

                Author and article information

                Contributors
                +44 (0) 131 650 3453 , stuart.ritchie@ed.ac.uk
                Journal
                Brain Struct Funct
                Brain Struct Funct
                Brain Structure & Function
                Springer Berlin Heidelberg (Berlin/Heidelberg )
                1863-2653
                1863-2661
                19 April 2017
                19 April 2017
                2017
                : 222
                : 8
                : 3477-3490
                Affiliations
                [1 ]ISNI 0000 0004 1936 7988, GRID grid.4305.2, Department of Psychology, , The University of Edinburgh, ; Edinburgh, UK
                [2 ]ISNI 0000 0004 1936 7988, GRID grid.4305.2, Centre for Cognitive Ageing and Cognitive Epidemiology, , The University of Edinburgh, ; Edinburgh, UK
                [3 ]ISNI 0000000121548364, GRID grid.55460.32, Department of Psychology, , University of Texas, ; Austin, TX USA
                [4 ]ISNI 0000 0004 1936 7988, GRID grid.4305.2, Brain Research Imaging Centre, , The University of Edinburgh, ; Edinburgh, UK
                [5 ]Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, Edinburgh, UK
                [6 ]ISNI 0000 0004 1936 7988, GRID grid.4305.2, Centre for Clinical Brain Sciences, , The University of Edinburgh, ; Edinburgh, UK
                [7 ]ISNI 0000 0001 0725 8811, GRID grid.411276.7, Computer Science Department, Faculty of Science, , Lagos State University, ; Lagos, Nigeria
                [8 ]ISNI 0000 0004 1936 7988, GRID grid.4305.2, Division of Psychiatry, , The University of Edinburgh, ; Edinburgh, UK
                [9 ]ISNI 0000000106567444, GRID grid.9531.e, Department of Psychology, , Heriot-Watt University, ; Edinburgh, UK
                [10 ]ISNI 0000 0004 1936 7988, GRID grid.4305.2, Alzheimer Scotland Dementia Research Centre, , The University of Edinburgh, ; Edinburgh, UK
                Article
                1414
                10.1007/s00429-017-1414-2
                5676817
                28424895
                19bb22d4-9112-48e0-8878-61dd738da61c
                © The Author(s) 2017

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

                History
                : 1 December 2016
                : 27 March 2017
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100000629, Age UK;
                Award ID: The Disconnected Mind
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100000690, Research Councils UK;
                Award ID: MR/K026992/1
                Award Recipient :
                Categories
                Original Article
                Custom metadata
                © Springer-Verlag GmbH Germany 2017

                Neurology
                ageing,longitudinal,structural mri,genetic,lifestyle,prediction
                Neurology
                ageing, longitudinal, structural mri, genetic, lifestyle, prediction

                Comments

                Comment on this article