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. 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

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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 et al. Neuroimage. 2017 Jan.

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.

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Figures

Fig. 1
Fig. 1
Schematic illustration of MRI processing pipelines. Coloured columns indicate processing stream (see corresponding labels); shaded rows indicate stage of processing (see corresponding labels). Blue text indicates a data type; red text indicates a processing step; dashed lines and boxes emphasise important and unique steps in the pipelines (coregistration of all images to T1; normalisation to MNI by applying flow field parameters computed during DARTEL processing); dotted lines and boxes illustrate planned analyses. See text for a complete description. Notes: Abbreviations as in footnote 1 and text; Mb = magnetisation transfer baseline; ∑ indicates weighted sum.
Fig. 2
Fig. 2
Schematic illustration of MEG processing pipelines. Coloured columns indicate sensor-space and source-space streams (see corresponding labels); shaded rows indicate stage of processing (see corresponding labels). Blue text indicates a data type; red text indicates a processing step; dotted lines and boxes illustrate planned analyses. See text for a complete description. Notes: Abbreviations as in footnote 1 and text; tSSS = temporal extension of signal space separation.

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