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Brain imaging and cognitive ageing in the Lothian Birth Cohort 1936: III

Description: As human populations age across the planet, increasingly significant resources will be needed to manage and care for some older people. Cognitive ageing, the process by which some cognitive abilities decline in older age, is of particular concern, leading as it does to reduced quality of life, loss of independence, and, in its later stages, increased risk of dementia. Characterising the biological causes of cognitive ageing is therefore important if we are to reduce the burden of ageing at both the individual and societal level. In this proposal we request funds to collect and analyze brain magnetic resonance imaging (MRI) and carotid artery Doppler ultrasound data from participants of the Lothian Birth Cohort 1936. They are a large group of relatively healthy community-dwelling subjects in their late seventies. This cohort is unique in having cognitive data from youth (a well-validated measure of IQ obtained at age 11 years), and repeat cognitive testing, brain imaging, genetic, epigenetic, lifestyle, psychological, social and other important information obtained from ages 70, 73, 76 years, and to be collected at age 79. By undertaking a third wave of brain MRI and carotid ultrasound scanning, we will have detailed imaging data spanning most of the eighth decade of life (73 to 79 years) during which risk of dementia increases. Longitudinal imaging data obtained at three time points in older age is rare and will allow a thorough exploration of changes in brain structure with age (e.g. loss of brain grey and white matter), how these changes relate to cognitive ability measured across the whole life course, and what factors (e.g. genetics, diet, exercise, etc.) are most responsible for these changes. Understanding these relationships is an important step in helping to develop strategies to slow age-related cognitive decline, and in characterising what role cognitive ageing plays in heralding dementia. The present application is for minority funding for a project that also has funding from Age UK for the collection of the cognitive, medical, biomarker, and psychosocial data and their collation and analyses.
Amount: £1,052,000
Funding type: research
Start date: 2015-04-30
End date: 2019-04-29
Field: Medicine
Funded outputs count: 90
Funder award ID: MR/M013111/1
OpenAlex ID: G2006512853
2026 · Colin R. Buchanan, Joanna E. Moodie, et al. · bioRxiv (Cold Spring Harbor Laboratory)
2026 · Zhen Yang, Joanna E. Moodie, et al. · Psychology and Aging
2026 · Ilse Krätschmer, Hannah M Smith, et al. · Bioinformatics Advances
2025 · Janie Corley, Alison Pattie, et al. · Journal of Environmental Psychology
2025 · Anna E. Fürtjes, Isabelle F. Foote, et al. · Nature Communications · 8
2024 · Janie Corley, Alison Pattie, et al. · The Journals of Gerontology Series A · 3
2024 · Janie Corley, Alison Pattie, et al. · Journal of Environmental Psychology · 4
2024 · Evans K.L, Walker R.M, et al. · Carolina Digital Repository (University of North Carolina at Chapel Hill)
2024 · Ilse Krätschmer, Hannah M. Smith, et al. · bioRxiv (Cold Spring Harbor Laboratory) · 4
2023 · Benjamin S. Aribisala, Maria del C. Valdés Hernández, et al. · Sleep Medicine · 18
2022 · Una Clancy, Ratko Radakovic, et al. · International Journal of Geriatric Psychiatry · 9
2022 · Jonathan Higham, Lyndsay Kerr, et al. · Genome biology · 32
2022 · Federica P. Conte, Judith A. Okely, et al. · Psychological Science · 19
2022 · Jose Bernal, Maria D.C. Valdés-Hernández, et al. · Magnetic Resonance Imaging · 28
2022 · Rachel M. Brouwer, Marieke Klein, et al. · Nature Neuroscience · 229
2022 · Michelle Luciano, J. Corley, et al. · The journal of nutrition health & aging · 2
2022 · Daniel L. McCartney, Robert F. Hillary, et al. · Genome biology · 55
2022 · Angela C.C. Jochems, Susana Muñoz Maniega, et al. · NeuroImage Clinical · 16
2021 · M. J. Bosma, S. R. Cox, et al. · Psychological Medicine · 11
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