Research output per year
Research output per year
My research uses neuroimaging to understand the relationship between ageing and diseases in the brain. I have taken a trans-diagnostic approach across my career and I am interested in how measures of brain structure and function can help us understand how ageing and brain diseases affect people differently.
Particular interests include the application of machine-learning techniques to neuroimaging data and the integration of neuroimaging with other biological data sources, such as genetics, epigenetics and fluid biomarkers. Diseases I've worked on include major depressive disorder, Huntington's Disease, Alzheimer's Disease, traumatic brain injury, HIV, Down syndrome, Prader-Willi syndrome and multiple sclerosis. My research has often used multiple neuroimaging modalities in longitudinal studies to better understand trajectories of brain health in these diseases and help health outcomes for individual patients.
Alongside improving understanding of the ageing brain and related diseases, I am focusing on translating neuroimaging into clinical practice. I firmly believe that integrating quantitative analysis of neuroimaging data into clinical protocols for diagnosis, treatment and long-term care planning can be beneficial for people suffereing with neurological or psychiatric diseases, and I am working with researchers, clinicians and industrial partners towards that goal.
I currently hold a UKRI Innovation Fellowship and have been based at the Department of Neuroimaging, King's College London since November 2017. In 2019, I started my own group, the Machine Learning for Translational Neuroimaging Laboratory, comprising post-doctoral researchers and PhD students who focus on brain ageing, brain health and neurodegeneration.
Prior to joining KCL, I spent 4 years working in the Computational, Cognitive & Clinical Neuroimaging Laboratory (C3NL) at Imperial College London, particularly focusing on HIV and traumatic brain injury research.
I also worked at the UCL Institute of Neurology, as part of the Huntington's Disease research group, from 2011-2013.
My PhD was completed at the Social, Genetic & Developmental Psychiatry (SGDP) Centre, King's College London, where I focused on genetic influences on brain structure (measured using neuroimaging) in people with major depressive disorder.
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Neuroscience, Doctor of Philosophy, Genetic influences on neuroimaging phenotypes in major depressive disorder, King's College London
Award Date: 25 Nov 2010
Research Associate, Imperial College London
2 Jul 2013 → 14 Nov 2017
Research Associate, UCL University College London
11 Aug 2011 → 30 Jun 2013
Research output: Contribution to journal › Review article › peer-review
Research output: Contribution to journal › Article › peer-review
Research output: Contribution to journal › Article › peer-review
Research output: Contribution to journal › Article › peer-review
Research output: Contribution to journal › Article › peer-review
1/11/2018 → 1/11/2021
Project: Research
Lewis, C., Cole, J. & Williams, S.
15/11/2017 → 14/11/2020
Project: Research
Cole, J., Brammer, M. & Knapp, M.
1/10/2011 → 30/09/2014
Project: Research
James Cole (Chair)
Activity: Participating in or organising an event › Participation in conference
James Cole (Speaker)
Activity: Participating in or organising an event › Participation in conference