Professor Thomas Nichols
Contact information
Inaugural Lecture
Watch Thomas' inaugural lecture "Challenges and opportunities in population neuroimaging" on BDI TV.
Thomas Nichols
PhD
Professor of Neuroimaging Statistics
- BDI Associate Head (Innovation and Training)
Prof. Nichols is a statistician with a solitary focus on modelling and inference methods for brain imaging research. He has a unique background, with both industrial and academic experience, and diverse training including computer science, cognitive neuroscience and statistics. After serving on the faculty of the University of Michigan's Department of Biostatistics he became the Director Modelling and Genetics at GlaxoSmithKline's Clinical Imaging Centre, London. He returned to academia in 2009 moving to the University of Warwick, taking a joint position between the Department of Statistics and the Warwick Manufacturing Group. He joined the BDI in 2017.
The focus of Dr Nichols's work is developing modelling and inference methods for brain image data. He has worked with a variety of types of data, including Positron Emission Tomography and Magneto- and Electroencephalography, though most of his methods are motivated by Magnetic Resonance Imaging (MRI) and functional MRI (fMRI) in particular. He has extensive experience in modelling large, complex data, particularly known for his contributions to multiple testing inference for brain imaging. He has developed methods for clinical trials with imaging, as well as methods for integrating genetic and imaging data. His current research involves meta-analysis of neuroimaging studies and informatics tools to make data sharing easy and pervasive
For a full list of publications please see Dr Nichols's CV, Google Scholar page, NCBI Bibliography or ORCID profile. My research pages have publications in topical groups, or meet my team who do most of the work. My Neuroimaging Tips & Tricks blog has practical tips for neuroimaging researchers, and less practical stuff can be found on X.
Recent publications
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NHS Health Check attendance is associated with reduced multiorgan disease risk: a matched cohort study in the UK Biobank
Journal article
McCracken C. et al, (2024), BMC Medicine, 22
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A framework for longitudinal latent factor modelling of treatment response in clinical trials with applications to Psoriatic Arthritis and Rheumatoid Arthritis
Journal article
NICHOLSON G. et al, (2024), Journal of Biomedical Informatics
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Two common and distinct forms of variation in human functional brain networks
Journal article
NICHOLS T. et al, (2024), Nature Neuroscience
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Decentralized Mixed Effects Modeling in COINSTAC.
Journal article
Basodi S. et al, (2024), Neuroinformatics
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MRI economics: Balancing sample size and scan duration in brain wide association studies.
Journal article
Ooi LQR. et al, (2024), bioRxiv