Team & track record

The people behind the field's standard tools

Leading neuroimaging scientists with decades of experience in MR physics, image analysis and clinical application, and long-standing consulting roles with pharmaceutical companies and CROs.

500+peer-reviewed papers

200k+citations

Our team

Christian F. Beckmann, DPhil

Co-founder, Director & CEO

Co-author of seminal work on independent component analysis for resting-state fMRI and developer of the dual-regression method. A lead developer of FSL and Principal Investigator at the Donders Institute, Nijmegen.

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Stephen M. Smith, DPhil

Co-founder, Company Secretary & CSO

Professor of Biomedical Engineering at the University of Oxford, creator of FSL and lead of the UK Biobank brain imaging component. A former Chair of the Organization for Human Brain Mapping.

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Maarten Mennes, PhD

Head of Analysis & Quality Management

Leads day-to-day MR analysis delivery and SBGneuro's ISO 9001 quality management system. [Add short bio]

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An extensive in-house analysis team Our leadership is supported by an extensive team of in-house MR analysts and analytic consultants, who deliver your study day to day.

Built on FSL

The world's most widely used MRI analysis software

FSL, the FMRIB Software Library, covers the analysis of functional, structural and diffusion MRI. Beckmann and Smith are its lead developers; commercial use is licensed through Oxford University Innovations.

2,500+universities and institutes

150+attendees at the annual course

3Oxford Neuroimaging Primers textbooks

Large-scale studies

Experience with large, multi-site imaging

£43mUK BiobankBrain imaging of 100,000 participants. Smith leads the brain imaging component.

$40m · NIHHuman Connectome ProjectMapping the connectome in 1,200 subjects, with major analysis components from Beckmann and Smith.

IMI · IHIPRISM 1 & 2 / TRANSFORMThree consecutive European public–private projects (IMI PRISM, PRISM 2 and IHI TRANSFORM) developing biology-based, transdiagnostic markers across Alzheimer's disease, schizophrenia and depression, with SBGneuro as partner.

Field-defining research

Beckmann & Smith, IEEE Trans Med Imaging, 2004Probabilistic ICA for fMRI: the basis of FSL MELODIC

Smith et al., NeuroImage, 2004FSL: the integrated MRI analysis software library

Beckmann et al., Phil Trans R Soc B, 2005ICA-based identification of resting-state networks

Smith et al., NeuroImage, 2006Tract-based spatial statistics (TBSS) for diffusion MRI

Smith & Nichols, NeuroImage, 2009Threshold-free cluster enhancement (TFCE) for robust statistical inference

Smith et al., PNAS, 2009Resting-state networks mirror the brain's functional architecture during tasks

Filippini et al., PNAS, 2009Altered default-mode network activity in young APOE-ε4 carriers

Pruim et al., NeuroImage, 2015ICA-AROMA: robust removal of motion artefacts from fMRI

Smith et al., Nature Neuroscience, 2015A single mode of population covariation links brain connectivity, demographics and behaviour

Glasser et al., Nature, 2016A multi-modal parcellation of the human cerebral cortex (HCP atlas)

Miller et al., Nature Neuroscience, 2016Multimodal population brain imaging in UK Biobank

Marquand et al., Biological Psychiatry, 2016Normative modelling: mapping individual differences beyond case–control comparisons

Douaud et al., Nature, 2022Brain changes after SARS-CoV-2 infection in UK Biobank

Gong et al., IEEE Trans Med Imaging, 2023SuperBigFLICA: supervised discovery of multimodal imaging phenotypes

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