Paper Info
Title
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.
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.
Year
DOI
Venue
2017
10.1016/j.neuroimage.2015.09.018
NeuroImage
Keywords
Field
DocType
ACE-R,BOLD,Cam-CAN,DARTEL,DWI,DTI,DKI,ERF,fMRI,GM,MNI,MT,MEG,MMSE,ROI,VBM,WMS-III UK,WM
Population,Neuroscience,Functional neuroimaging,Resting state fMRI,Cognitive psychology,Psychology,Neuroimaging,Cognition,Neuropsychology,Neurocognitive,Magnetoencephalography
Journal
Volume
Issue
ISSN
144
Pt B
1053-8119
Citations 
PageRank 
References 
34
1.27
7
Authors
9
Name
Order
Citations
PageRank
Jason R. Taylor11225.70
Nitin Williams2433.13
Rhodri Cusack318518.70
Tibor Auer4422.01
Meredith A. Shafto5513.35
marie dixon6341.27
Lorraine K Tyler713614.27
camcan8371.98
richard n henson9341.27