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

Challenges and future directions for representations of functional brain organization.
Journal article

Bijsterbosch J. et al, (2020), Nat Neurosci
Discovering correlates of age-related decline in a healthy late-midlife male birth cohort.
Journal article

Zarnani K. et al, (2020), Aging (Albany NY), 12, 16709 - 16743
The developing Human Connectome Project (dHCP) automated resting-state functional processing framework for newborn infants.
Journal article

Fitzgibbon SP. et al, (2020), Neuroimage, 223
Modelling Subject Variability in the Spatial and Temporal Characteristics of Functional Modes.
Journal article

Harrison SJ. et al, (2020), Neuroimage
Towards HCP-Style macaque connectomes: 24-Channel 3T multi-array coil, MRI sequences and preprocessing.
Journal article

Autio JA. et al, (2020), Neuroimage, 215

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