Connectionists: Large Dataset on Healthy Ageing Available

[Matthias Treder]

The Cambridge Centre for Ageing and Neuroscience (Cam-CAN; www.cam-can.org)
is pleased to announce the release of raw data from the first wave of Phase
II of the Cam-CAN cohort. These data include MRI, MEG and cognitive data
from approximately 650 males and females uniformly distributed from 18 to
88 years of age. The sample is unique in its population-representativeness
(e.g, relative to national census data) and the depth and breadth of
neuroimaging and cognitive assessment. The MRI data (in NIFTI and BIDS
format) include T1-weighted, T2-weighted and Diffusion-weighted 3T MRI
images, plus 3 runs of BOLD-weighted images during 1) rest, 2)
movie-watching and 3) an event-related sensorimotor task (with combined
visual and auditory stimuli cueing a motor response); the MEG data (in FIF
format) include 3 runs of 1) rest, 2) the same sensorimotor task as the
fMRI and 3) a passive sensory task (with separate visual and auditory
stimuli); the behavioural data include scores on tasks assessing a range of
cognitive domains, such as fluid intelligence, memory, language, among
others. For more information about the CamCAN project and data, see:



Shafto et al. (2014). The Cambridge Centre for Ageing and Neuroscience
(Cam-CAN) study protocol: a cross-sectional, lifespan, multidisciplinary
examination of healthy cognitive ageing. BMC Neurology, 14(204).
doi:10.1186/s12883-014-0204-1.



Taylor et al. (2015). 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. NeuroImage.
10.1016/j.neuroimage.2015.09.018.





We hope to release more data (e.g, MT-weighted and preprocessed MRI/MEG
data) in future. The data are provided freely after agreeing to minimal
conditions, via this page: https://camcan-archive.mrc-
cbu.cam.ac.uk/dataaccess/
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