Colin Buchanan
Research Associate
- Psychology
- School of Philosophy, Psychology and Language Sciences
Contact details
- Tel: 0131 650 3453
- Email: Colin.Buchanan@ed.ac.uk
Address
- Street
-
Room F1, Psychology Building
- City
- 7 George Square, Edinburgh
- Post code
- EH8 9JZ
Background
Colin is based in the Centre for Cognitive Ageing and Cognitive Epidemiology, within the Psychology Department. He works with UK Biobank neuroimaging data and Lothian Birth Cohort Study 1936 as part of a 5-year NIH grant to investigate the brain's structural connectome in relation to cognitive function, health and genes.
Research summary
Colin's field of work is connectomics, the study of the connectome, which seeks to map the connections of the brain as a network. Using imaging data obtained from diffusion MRI and whole-brain tractography, connectome methods are used to map the collective wiring of many trillions of axonal nerve fibres across the brain. The connectome approach provides tools to ask neuroscientific questions concerned with healthy and pathological brain organisation. This approach may also provide evidence on how cerebral white matter underlies cognitive function.
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Three major dimensions of human brain cortical ageing in relation to cognitive decline across the eighth decade of life
(12 pages)
In:
Molecular Psychiatry
DOI: https://doi.org/10.1038/s41380-020-00975-1
Research output: Contribution to Journal › Article (E-pub ahead of print) -
Pipeline comparisons of convolutional neural networks for structural connectomes: predicting sex across 3,152 participants
DOI: https://doi.org/https://doi-org.ezproxy.is.ed.ac.uk/10.1109/EMBC44109.2020.9175596
Research output: Contribution to Conference › Paper (Published) -
Aging-Sensitive Networks Within the Human Structural Connectome Are Implicated in Late-Life Cognitive Declines
In:
Biological Psychiatry, vol. N/A, pp. 1-12
DOI: https://doi.org/10.1016/j.biopsych.2020.06.010
Research output: Contribution to Journal › Article (E-pub ahead of print) -
The effect of network thresholding and weighting on structural brain networks in the UK Biobank
In:
NeuroImage, vol. 211
DOI: https://doi.org/10.1016/j.neuroimage.2019.116443
Research output: Contribution to Journal › Article (Published) -
Associations between vascular risk factors and brain MRI indices in UK Biobank
(11 pages)
In:
European Heart Journal, vol. 40, pp. 2290–2300
DOI: https://doi.org/10.1093/eurheartj/ehz100
Research output: Contribution to Journal › Article (Published)