TY - JOUR
T1 - The Cambridge Centre for Ageing and Neuroscience (Cam-CAN) study protocol
T2 - A cross-sectional, lifespan, multidisciplinary examination of healthy cognitive ageing
AU - Cam-CAN
AU - Shafto, Meredith A.
AU - Tyler, Lorraine K.
AU - Dixon, Marie
AU - Taylor, Jason R.
AU - Rowe, James B.
AU - Cusack, Rhodri
AU - Calder, Andrew J.
AU - Marslen-Wilson, William D.
AU - Duncan, John
AU - Dalgleish, Tim
AU - Henson, Richard N.
AU - Brayne, Carol
AU - Bullmore, Ed
AU - Campbell, Karen
AU - Cheung, Teresa
AU - Davis, Simon
AU - Geerligs, Linda
AU - Kievit, Rogier
AU - McCarrey, Anna
AU - Price, Darren
AU - Samu, David
AU - Treder, Matthias
AU - Tsvetanov, Kamen
AU - Williams, Nitin
AU - Bates, Lauren
AU - Emery, Tina
AU - Erzinçlioglu, Sharon
AU - Gadie, Andrew
AU - Gerbase, Sofia
AU - Georgieva, Stanimira
AU - Hanley, Claire
AU - Parkin, Beth
AU - Troy, David
AU - Allen, Jodie
AU - Amery, Gillian
AU - Amunts, Liana
AU - Barcroft, Anne
AU - Castle, Amanda
AU - Dias, Cheryl
AU - Dowrick, Jonathan
AU - Fair, Melissa
AU - Fisher, Hayley
AU - Goulding, Anna
AU - Grewal, Adarsh
AU - Hale, Geoff
AU - Hilton, Andrew
AU - Johnson, Frances
AU - Johnston, Patricia
AU - Kavanagh-Williamson, Thea
AU - Kwasniewska, Magdalena
N1 - Publisher Copyright:
© 2014 Shafto et al.
PY - 2014
Y1 - 2014
N2 - Background: 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. Methods/Design: 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. Discussion: 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.
AB - Background: 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. Methods/Design: 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. Discussion: 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.
KW - Brain ageing
KW - Brain imaging
KW - Brain networks
KW - Cognition
KW - Epidemiology
KW - Functional MRI
KW - Healthy ageing
KW - Lifespan
KW - Magnetoencephalography
KW - Structural MRI
UR - https://www.scopus.com/pages/publications/84989313913
U2 - 10.1186/s12883-014-0204-1
DO - 10.1186/s12883-014-0204-1
M3 - Article
C2 - 25412575
AN - SCOPUS:84989313913
SN - 1471-2377
VL - 14
JO - BMC Neurology
JF - BMC Neurology
IS - 1
M1 - 204
ER -