Imperial College London

DrJamesCole

Faculty of MedicineDepartment of Medicine

Research Fellow
 
 
 
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Contact

 

james.cole

 
 
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Location

 

C3NLBurlington DanesHammersmith Campus

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Summary

 

Summary

Bio

I work as a post-doctoral research associate and have been based at C3NL at Imperial College London since July 2013. My main research interests are in the use of structural and functional magnetic resonance imaging (MRI) to investigate the neuroanatomy of neurological and psychiatric disorders, with a view to improving diagnosis, predicting disease progression and quantifying treatment response. My background has included research in a variety of different disorders, particularly Major Depressive Disorder, Huntington's Disease as well as schizophrenia, pre-term birth and obesity.

Currently I'm working on the EU-funded COmorbidity in Relation to AIDS (COBRA) project. This international collaboration aims to characterise the effects of living with HIV during the anti-retroviral era, in relation to many aspects of biology, including brain structure and function. Further details can be found on the research page of my profile.

My other research activities include using machine learning techniques to build a predictive model of brain age, based on MRI data. This can be used to quantify the normal distribution of brain ageing and understanding how neurological or psychiatric conditions, prinicipally traumatic brain injury (TBI), may add to or accelerate the ageing process and consequent susceptibility to dementia. I'm also interested in the interplay of genes and environment on neuroimaging phenotypes and the integration of multi-modal datasets, along with running a study on the test-retest reliability of neuroimaging here at C3NL.

 

Links

C3NL

Imperial TBI group

Twitter @JamesCole_Neuro

Publications

Journals

Cole JH, 2017, Neuroimaging-derived brain-age: an ageing biomarker?, Aging-us, Vol:9, ISSN:1945-4589, Pages:1861-1862

Cole JH, Annus T, Wilson LR, et al., 2017, Brain-predicted age in Down syndrome is associated with beta amyloid deposition and cognitive decline, Neurobiology of Aging, Vol:56, ISSN:0197-4580, Pages:41-49

Cole JH, Poudel RPK, Tsagkrasoulis D, et al., 2017, Predicting brain age with deep learning from raw imaging data results in a reliable and heritable biomarker., Neuroimage, Vol:163, Pages:115-124

Cole JH, Ritchie SJ, Bastin ME, et al., 2017, Brain age predicts mortality., Mol Psychiatry

Cole JH, Underwood J, Caan MWA, et al., 2017, Increased brain-predicted aging in treated HIV disease, Neurology, Vol:88, ISSN:0028-3878, Pages:1349-1357

More Publications