Welcome to the website of the Machine-learning Artificial Intelligence Neuro Imaging Focusing on Longevity & Dementia (MANIFOLD) Laboratory. We are based at University College London, part of the UCL Hawkes Institute, formerly the Centre for Medical Image Computing (CMIC), and the Dementia Research Centre (DRC) at the Queen Square Institute of Neurology.
Our goal is to further our understanding of how the brain ages and how this affects risk of cognitive decline, neurodegenerative diseases and dementia. We do this using advanced statistics, machine learning and AI methods to analyse neuroimaging data, alongside genetic, cognitive, clinical, biological and behavioural information – taking a big-data science approach to help translate computational methods into the clinic for people with age-associated cognitive decline, dementia and related conditions.
Predicting risk of dementia in adults with subjective or mild cognitive impairment using the brain-age paradigm.
James Cole chairs the ENIGMA Brain Age working group.
Developing a generalisable and interpretable framework for dementia prediction.
Predicting disease progression in motor neurone disease
Using the UK Biobank to predict brain age from multiple modalities of MRI data, including structural, diffusion and functional scans.
Predicting risk of poor educational outcomes from MRI measurements of the brain during infancy and early childhood
Mapping individual differences in the neuroanatomy of dementia