Analysis of Biobank Neuro Imaging Data
Lay summaryWe will apply image processing software to the neuro imaging data, in order to a) further develop image processing algorithms and software, for use by the wider research community (e.g. disseminating as part of our neuroimaging software FSL - FMRIB Software Library - www.fmrib.ox.ac.uk/fsl), and b) to co-analyse imaging-derived phenotypes against other Biobank data such as lifestyle measures and future health outcomes. The research will aid in extracting useful information (disease biomarkers, etc) from the Biobank imaging data. We will apply existing image processing software, and develop new software, for analysing the imaging data being acquired by Biobank. This will help us improve the software, and start extracting useful information from the data. All datasets where neuroimaging has been carried out.
- Optimising network modelling methods for fMRI
- The spatial correspondence and genetic influence of interhemispheric connectivity with white matter microstructure.
- Genome-wide association studies of brain imaging phenotypes in UK Biobank (1)
- Modelling the distribution of white matter hyperintensities due to ageing on MRI images using Bayesian inference
- Image Processing and Quality Control for the first 10,000 Brain Imaging Datasets from UK Biobank
- Investigations into within- and between-subject resting-state amplitude variations
- Multimodal population brain imaging in the UK Biobank prospective epidemiological study
- Brain aging comprises many modes of structural and functional change with distinct genetic and biophysical associations.
- An expanded set of genome-wide association studies of brain imaging phenotypes in UK Biobank
- Accurate brain age prediction with lightweight deep neural networks
- Phenotype discovery from population brain imaging
- Integrating large-scale neuroimaging research datasets: harmonisation of white matter hyperintensity measurements across Whitehall and UK Biobank datasets