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Neuroimage. 2017 Jan;144(Pt B):262-269. doi: 10.1016/j.neuroimage.2015.09.018. Epub 2015 Sep 12.

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.

Author information

1
School of Psychological Sciences, The University of Manchester, Zochonis Building, Brunswick Street, Manchester M13 9PL, UK. Electronic address: jason.taylor@manchester.ac.uk.
2
MRC Cognition and Brain Sciences Unit, 15 Chaucer Road, Cambridge CB2 7EF, UK. Electronic address: nitin.williams@mrc-cbu.cam.ac.uk.
3
Brain and Mind Institute, University of Western Ontario, London, ON, Canada. Electronic address: rhodri@cusacklab.org.
4
MRC Cognition and Brain Sciences Unit, 15 Chaucer Road, Cambridge CB2 7EF, UK. Electronic address: tibor.auer@mrc-cbu.cam.ac.uk.
5
Department of Psychology, University of Cambridge, Cambridge CB2 3EB, UK. Electronic address: mshafto@csl.psychol.cam.ac.uk.
6
Department of Psychology, University of Cambridge, Cambridge CB2 3EB, UK. Electronic address: admin@cam-can.com.
7
Department of Psychology, University of Cambridge, Cambridge CB2 3EB, UK. Electronic address: lktyler@csl.psychol.cam.ac.uk.
8
Cambridge Centre for Ageing and Neuroscience (Cam-CAN), University of Cambridge and MRC Cognition and Brain Sciences Unit, Cambridge, UK. Electronic address: http://www.cam-can.com.
9
MRC Cognition and Brain Sciences Unit, 15 Chaucer Road, Cambridge CB2 7EF, UK. Electronic address: rik.henson@mrc-cbu.cam.ac.uk.

Abstract

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 (18-87years 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.

KEYWORDS:

Ageing; Brain imaging; Cognition; Data repository; Magnetic resonance imaging; Magnetoencephalography

PMID:
26375206
PMCID:
PMC5182075
DOI:
10.1016/j.neuroimage.2015.09.018
[Indexed for MEDLINE]
Free PMC Article

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