期刊
NEUROIMAGE
卷 144, 期 -, 页码 262-269出版社
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.neuroimage.2015.09.018
关键词
Data repository; Brain imaging; Magnetic resonance imaging; Magnetoencephalography; Cognition; Ageing
资金
- Biotechnology and Biological Sciences Research Council [BB/H008217/1]
- BBSRC [BB/H008217/1] Funding Source: UKRI
- MRC [MC_U105579212, MC_UU_00005/12, MC_U105597119, MC_U105579226] Funding Source: UKRI
- Medical Research Council [MC_U105579215, MC_UU_00005/12, MC_U105579226, MC_U105579212, MC_U105597119] Funding Source: researchfish
- Wellcome Trust [103838/Z/14/Z] Funding Source: researchfish
This paper describes the data repository for the Cambridge Centre for Ageing and Neuroscience (Cam-CAN) initial study cohort. The Cam-CAN Stage 2 repository contains multi-modal (MRI, MEG, and cognitive-behavioural) data from a large (approximately N = 700), cross-sectional adult lifespan (18-87 years old) population-based sample. The study is designed to characterise age-related changes in cognition and brain structure and function, and to uncover the neurocognitive mechanisms that support healthy cognitive ageing. The database contains raw and preprocessed structural MRI, functional MRI (active tasks and resting state), and MEG data (active tasks and resting state), as well as derived scores from cognitive behavioural experiments spanning five broad domains (attention, emotion, action, language, and memory), and demographic and neuropsychological data. The dataset thus provides a depth of neurocognitive phenotyping that is currently unparalleled, enabling integrative analyses of age-related changes in brain structure, brain function, and cognition, and providing a testbed for novel analyses of multi-modal neuroimaging data. (C) 2015 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license.
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