The Cambridge Centre for Ageing and Neuroscience (Cam-CAN) study protocol: a cross-sectional, lifespan, multidisciplinary examination of healthy cognitive ageing
Meredith A. Shafto,Lorraine K. Tyler,Marie Dixon,Jason R. Taylor,Jason R. Taylor,James B. Rowe,James B. Rowe,Rhodri Cusack,Andrew J. Calder,William D. Marslen-Wilson,William D. Marslen-Wilson,John S. Duncan,John S. Duncan,Tim Dalgleish,Richard N. Henson,Carol Brayne,Fiona E. Matthews +16 more
TLDR
Because this project focuses on normal age-related changes, the results may contribute to changing views about the ageing process, lead to targeted interventions, and reveal how normal ageing relates to frail ageing in clinicopathological conditions such as Alzheimer's disease.Abstract:
As greater numbers of us are living longer, it is increasingly important to understand how we can age healthily. Although old age is often stereotyped as a time of declining mental abilities and inflexibility, cognitive neuroscience reveals that older adults use neural and cognitive resources flexibly, recruiting novel neural regions and cognitive processes when necessary. Our aim in this project is to understand how age-related changes to neural structure and function interact to support cognitive abilities across the lifespan. We are recruiting a population-based cohort of 3000 adults aged 18 and over into Stage 1 of the project, where they complete an interview including health and lifestyle questions, a core cognitive assessment, and a self-completed questionnaire of lifetime experiences and physical activity. Of those interviewed, 700 participants aged 18-87 (100 per age decile) continue to Stage 2 where they undergo cognitive testing and provide measures of brain structure and function. Cognition is assessed across multiple domains including attention and executive control, language, memory, emotion, action control and learning. A subset of 280 adults return for in-depth neurocognitive assessment in Stage 3, using functional neuroimaging experiments across our key cognitive domains. Formal statistical models will be used to examine the changes that occur with healthy ageing, and to evaluate age-related reorganisation in terms of cognitive and neural functions invoked to compensate for overall age-related brain structural decline. Taken together the three stages provide deep phenotyping that will allow us to measure neural activity and flexibility during performance across a number of core cognitive functions. This approach offers hypothesis-driven insights into the relationship between brain and behaviour in healthy ageing that are relevant to the general population. Our study is a unique resource of neuroimaging and cognitive measures relevant to change across the adult lifespan. Because we focus on normal age-related changes, our results may contribute to changing views about the ageing process, lead to targeted interventions, and reveal how normal ageing relates to frail ageing in clinicopathological conditions such as Alzheimer's disease.read more
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The Cambridge Centre for Ageing and Neuroscience (Cam-CAN) data repository: Structural and functional MRI, MEG, and cognitive data from a cross-sectional adult lifespan sample.
Jason R. Taylor,Nitin Williams,Rhodri Cusack,Tibor Auer,Meredith A. Shafto,Marie Dixon,Lorraine K. Tyler,Cam-CAN,Richard N. Henson +8 more
TL;DR: The Cam-CAN Stage 2 repository contains multi-modal (MRI, MEG, and cognitive-behavioural) data from a large, cross-sectional adult lifespan (18–87 years old) population-based sample, providing a depth of neurocognitive phenotyping that is currently unparalleled, enabling integrative analyses of age-related changes in brain structure, brain function, and cognition.
Journal ArticleDOI
State and trait components of functional connectivity: Individual differences vary with mental state
TL;DR: The results show that studying individual differences within one state uncovers only part of the relevant individual differences in brain function, and that the study of functional connectivity under multiple mental states is essential to disentangle connectivity differences that are transient versus those that represent more stable, trait-like characteristics of an individual.
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Extrinsic and Intrinsic Brain Network Connectivity Maintains Cognition across the Lifespan Despite Accelerated Decay of Regional Brain Activation.
Kamen A. Tsvetanov,Kamen A. Tsvetanov,Richard N. Henson,Lorraine K. Tyler,Adeel Razi,Linda Geerligs,Timothy E. Ham,James B. Rowe +7 more
TL;DR: The relationship between network connectivity and cognitive function was age-dependent: cognitive performance relied on neural dynamics more strongly in older adults, driven partly by reduced stability of neural activity within all networks, as expressed by an accelerated decay of neural information.
Journal ArticleDOI
Obesity associated with increased brain age from midlife
Lisa Ronan,Aaron Alexander-Bloch,Konrad Wagstyl,Sadaf Farooqi,Carol Brayne,Lorraine K. Tyler,Cam-CAN,Paul C. Fletcher +7 more
TL;DR: Cross-sectional analysis of magnetic resonance image-based brain structure on a population-based cohort of healthy adults suggests that at a population level, obesity may increase the risk of neurodegeneration.
Journal ArticleDOI
The Hippocampal Film Editor: Sensitivity and Specificity to Event Boundaries in Continuous Experience.
Aya Ben-Yakov,Richard N. Henson +1 more
TL;DR: It is revealed here that hippocampusal activity measured by fMRI during film watching is both sensitive and specific to event boundaries, identifying a potential mechanism whereby event boundaries shape experience by modulation of hippocampal activity.
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