DrJamesCole

Faculty of Medicine, Department of Brain Sciences

Honorary Research Fellow

Contact

james.cole

Location

C3NLBurlington DanesHammersmith Campus

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, 2020, Multimodality neuroimaging brain-age in UK biobank: relationship to biomedical, lifestyle, and cognitive factors., Neurobiol Aging, Vol:92, Pages:34-42

Han LKM, Dinga R, Hahn T, et al.Han LKM, Dinga R, Hahn T, Ching CRK, Eyler LT, Aftanas L, Aghajani M, Aleman A, Baune BT, Berger K, Brak I, Filho GB, Carballedo A, Connolly CG, Couvy-Duchesne B, Cullen KR, Dannlowski U, Davey CG, Dima D, Duran FLS, Enneking V, Filimonova E, Frenzel S, Frodl T, Fu CHY, Godlewska BR, Gotlib IH, Grabe HJ, Groenewold NA, Grotegerd D, Gruber O, Hall GB, Harrison BJ, Hatton SN, Hermesdorf M, Hickie IB, Ho TC, Hosten N, Jansen A, Kähler C, Kircher T, Klimes-Dougan B, Krämer B, Krug A, Lagopoulos J, Leenings R, MacMaster FP, MacQueen G, McIntosh A, McLellan Q, McMahon KL, Medland SE, Mueller BA, Mwangi B, Osipov E, Portella MJ, Pozzi E, Reneman L, Repple J, Rosa PGP, Sacchet MD, Sämann PG, Schnell K, Schrantee A, Simulionyte E, Soares JC, Sommer J, Stein DJ, Steinsträter O, Strike LT, Thomopoulos SI, van Tol M-J, Veer IM, Vermeiren RRJM, Walter H, van der Wee NJA, van der Werff SJA, Whalley H, Winter NR, Wittfeld K, Wright MJ, Wu M-J, Völzke H, Yang TT, Zannias V, de Zubicaray GI, Zunta-Soares GB, Abé C, Alda M, Andreassen OA, Bøen E, Bonnin CM, Canales-Rodriguez EJ, Cannon D, Caseras X, Chaim-Avancini TM, Elvsåshagen T, Favre P, Foley SF, Fullerton JM, Goikolea JM, Haarman BCM, Hajek T, Henry C, Houenou J, Howells FM, Ingvar M, Kuplicki R, Lafer B, Landén M, Machado-Vieira R, Malt UF, McDonald C, Mitchell PB, Nabulsi L, Otaduy MCG, Overs BJ, Polosan M, Pomarol-Clotet E, Radua J, Rive MM, Roberts G, Ruhe HG, Salvador R, Sarró S, Satterthwaite TD, Savitz J, Schene AH, Schofield PR, Serpa MH, Sim K, Soeiro-de-Souza MG, Sutherland AN, Temmingh HS, Timmons GM, Uhlmann A, Vieta E, Wolf DH, Zanetti MV, Jahanshad N, Thompson PM, Veltman DJ, Penninx BWJH, Marquand AF, Cole JH, Schmaal L close, 2020, Brain aging in major depressive disorder: results from the ENIGMA major depressive disorder working group., Mol Psychiatry

Dafflon J, Pinaya WHL, Turkheimer F, et al.Dafflon J, Pinaya WHL, Turkheimer F, Cole JH, Leech R, Harris MA, Cox SR, Whalley HC, McIntosh AM, Hellyer PJ close, 2020, An automated machine learning approach to predict brain age from cortical anatomical measures, Human Brain Mapping, ISSN:1065-9471

Jenkins P, Roussakis A-A, De Simoni S, et al.Jenkins P, Roussakis A-A, De Simoni S, Bourke N, Fleminger J, Cole J, Piccini P, Sharp D close, 2020, Distinct dopaminergic abnormalities in traumatic brain injury and Parkinson’s disease, Journal of Neurology, Neurosurgery and Psychiatry, Vol:91, ISSN:0022-3050, Pages:631-637

Cole JH, Raffel J, Friede T, et al.Cole JH, Raffel J, Friede T, Eshaghi A, Brownlee WJ, Chard D, De Stefano N, Enzinger C, Pirpamer L, Filippi M, Gasperini C, Rocca MA, Rovira A, Ruggieri S, Sastre-Garriga J, Stromillo ML, Uitdehaag BMJ, Vrenken H, Barkhof F, Nicholas R, Ciccarelli O close, 2020, Longitudinal Assessment of Multiple Sclerosis with the Brain-Age Paradigm, Annals of Neurology, ISSN:0364-5134

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