Stephen Smith
Professor of Biomedical Engineering
Brain imaging for individuals and populations
Key publications
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A positive-negative mode of population covariation links brain connectivity, demographics and behavior.
Journal article
Smith SM. et al, (2015), Nat Neurosci, 18, 1565 - 1567
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Temporally-independent functional modes of spontaneous brain activity
Journal article
Smith SM. et al, (2012), Proceedings of the National Academy of Sciences of the United States of America, 109, 3131 - 3136
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Correspondence of the brain's functional architecture during activation and rest.
Journal article
Smith SM. et al, (2009), Proc Natl Acad Sci U S A, 106, 13040 - 13045
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Functional connectomics from resting-state fMRI.
Journal article
Smith SM. et al, (2013), Trends Cogn Sci, 17, 666 - 682
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Network modelling methods for FMRI.
Journal article
Smith SM. et al, (2011), Neuroimage, 54, 875 - 891
Recent publications
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Hippocampal volume across age: Nomograms derived from over 19,700 people in UK Biobank.
Journal article
Nobis L. et al, (2019), Neuroimage Clin, 23
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Estimation of brain age delta from brain imaging.
Journal article
Smith SM. et al, (2019), Neuroimage
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Effective degrees of freedom of the Pearson's correlation coefficient under autocorrelation.
Journal article
Afyouni S. et al, (2019), Neuroimage
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Structural variability in the human brain reflects fine-grained functional architecture at the population level.
Journal article
Smith S. et al, (2019), J Neurosci
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The relationship between spatial configuration and functional connectivity of brain regions revisited.
Journal article
Bijsterbosch JD. et al, (2019), Elife, 8