Stephen Smith

Professor of Biomedical Engineering

Brain imaging for individuals and populations

Head of FMRIB Analysis Group

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
Temporally-independent functional modes of spontaneous brain activity.
Journal article

Smith SM. et al, (2012), Proc Natl Acad Sci U S A, 109, 3131 - 3136
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
Functional connectomics from resting-state fMRI.
Journal article

Smith SM. et al, (2013), Trends Cogn Sci, 17, 666 - 682
Network modelling methods for FMRI.
Journal article

Smith SM. et al, (2011), Neuroimage, 54, 875 - 891

The developing Human Connectome Project (dHCP) automated resting-state functional processing framework for newborn infants.
Journal article

Fitzgibbon SP. et al, (2020), Neuroimage
Modelling Subject Variability in the Spatial and Temporal Characteristics of Functional Modes.
Journal article

Harrison SJ. et al, (2020), Neuroimage
A data-driven approach to optimising the encoding for multi-shell diffusion MRI with application to neonatal imaging.
Journal article

Tournier J-D. et al, (2020), NMR Biomed
Permutation Inference for Canonical Correlation Analysis.
Journal article

Winkler AM. et al, (2020), Neuroimage
The UK Biobank imaging enhancement of 100,000 participants: rationale, data collection, management and future directions.
Journal article

Littlejohns TJ. et al, (2020), Nat Commun, 11

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