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

 

Publications

Publication Type
Year
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49 results found

Cole JH, 2017, Neuroimaging-derived brain-age: an ageing biomarker?, Aging (Albany NY), Vol: 9, Pages: 1861-1862

JOURNAL ARTICLE

Cole JH, Annus T, Wilson LR, Remtulla R, Hong YT, Fryer TD, Acosta-Cabronero J, Cardenas-Blanco A, Smith R, Menon DK, Zaman SH, Nestor PJ, Holland AJet al., 2017, Brain-predicted age in Down syndrome is associated with beta amyloid deposition and cognitive decline, NEUROBIOLOGY OF AGING, Vol: 56, Pages: 41-49, ISSN: 0197-4580

JOURNAL ARTICLE

Cole JH, Poudel RPK, Tsagkrasoulis D, Caan MWA, Steves C, Spector TD, Montana Get al., 2017, Predicting brain age with deep learning from raw imaging data results in a reliable and heritable biomarker., Neuroimage

Machine learning analysis of neuroimaging data can accurately predict chronological age in healthy people. Deviations from healthy brain ageing have been associated with cognitive impairment and disease. Here we sought to further establish the credentials of 'brain-predicted age' as a biomarker of individual differences in the brain ageing process, using a predictive modelling approach based on deep learning, and specifically convolutional neural networks (CNN), and applied to both pre-processed and raw T1-weighted MRI data. Firstly, we aimed to demonstrate the accuracy of CNN brain-predicted age using a large dataset of healthy adults (N = 2001). Next, we sought to establish the heritability of brain-predicted age using a sample of monozygotic and dizygotic female twins (N = 62). Thirdly, we examined the test-retest and multi-centre reliability of brain-predicted age using two samples (within-scanner N = 20; between-scanner N = 11). CNN brain-predicted ages were generated and compared to a Gaussian Process Regression (GPR) approach, on all datasets. Input data were grey matter (GM) or white matter (WM) volumetric maps generated by Statistical Parametric Mapping (SPM) or raw data. CNN accurately predicted chronological age using GM (correlation between brain-predicted age and chronological age r = 0.96, mean absolute error [MAE] = 4.16 years) and raw (r = 0.94, MAE = 4.65 years) data. This was comparable to GPR brain-predicted age using GM data (r = 0.95, MAE = 4.66 years). Brain-predicted age was a heritable phenotype for all models and input data (h(2) ≥ 0.5). Brain-predicted age showed high test-retest reliability (intraclass correlation coefficient [ICC] = 0.90-0.99). Multi-centre reliability was more variable within high ICCs for GM (0.83-0.96) and poor-moderate levels for WM and raw data (0.51-0.77). Brain-predicted age represents an accur

JOURNAL ARTICLE

Cole JH, Ritchie SJ, Bastin ME, Valdés Hernández MC, Muñoz Maniega S, Royle N, Corley J, Pattie A, Harris SE, Zhang Q, Wray NR, Redmond P, Marioni RE, Starr JM, Cox SR, Wardlaw JM, Sharp DJ, Deary IJet al., 2017, Brain age predicts mortality., Mol Psychiatry

Age-associated disease and disability are placing a growing burden on society. However, ageing does not affect people uniformly. Hence, markers of the underlying biological ageing process are needed to help identify people at increased risk of age-associated physical and cognitive impairments and ultimately, death. Here, we present such a biomarker, 'brain-predicted age', derived using structural neuroimaging. Brain-predicted age was calculated using machine-learning analysis, trained on neuroimaging data from a large healthy reference sample (N=2001), then tested in the Lothian Birth Cohort 1936 (N=669), to determine relationships with age-associated functional measures and mortality. Having a brain-predicted age indicative of an older-appearing brain was associated with: weaker grip strength, poorer lung function, slower walking speed, lower fluid intelligence, higher allostatic load and increased mortality risk. Furthermore, while combining brain-predicted age with grey matter and cerebrospinal fluid volumes (themselves strong predictors) not did improve mortality risk prediction, the combination of brain-predicted age and DNA-methylation-predicted age did. This indicates that neuroimaging and epigenetics measures of ageing can provide complementary data regarding health outcomes. Our study introduces a clinically-relevant neuroimaging ageing biomarker and demonstrates that combining distinct measurements of biological ageing further helps to determine risk of age-related deterioration and death.Molecular Psychiatry advance online publication, 25 April 2017; doi:10.1038/mp.2017.62.

JOURNAL ARTICLE

Cole JH, Underwood J, Caan MWA, De Francesco D, van Zoest RA, Leech R, Wit FWNM, Portegies P, Geurtsen GJ, Schmand BA, van der Loeff MFS, Franceschi C, Sabin CA, Majoie CBLM, Winston A, Reiss P, Sharp DJet al., 2017, Increased brain-predicted aging in treated HIV disease, NEUROLOGY, Vol: 88, Pages: 1349-1357, ISSN: 0028-3878

JOURNAL ARTICLE

Feeney C, Sharp DJ, Hellyer PJ, Jolly AE, Cole JH, Scott G, Baxter D, Jilka S, Ross E, Ham TE, Jenkins PO, Li LM, Gorgoraptis N, Midwinter M, Goldstone APet al., 2017, Serum Insulin-like Growth Factor-I Levels are Associated with Improved White Matter Recovery after Traumatic Brain Injury, ANNALS OF NEUROLOGY, Vol: 82, Pages: 30-43, ISSN: 0364-5134

JOURNAL ARTICLE

Pardoe HR, Cole JH, Blackmon K, Thesen T, Kuzniecky Ret al., 2017, Structural brain changes in medically refractory focal epilepsy resemble premature brain aging, EPILEPSY RESEARCH, Vol: 133, Pages: 28-32, ISSN: 0920-1211

JOURNAL ARTICLE

Picchioni MM, Rijsdijk F, Toulopoulou T, Chaddock C, Cole JH, Ettinger U, Oses A, Metcalfe H, Murray RM, McGuire Pet al., 2017, Familial and environmental influences on brain volumes in twins with schizophrenia, JOURNAL OF PSYCHIATRY & NEUROSCIENCE, Vol: 42, Pages: 122-130, ISSN: 1180-4882

JOURNAL ARTICLE

Underwood J, Cole JH, Caan M, De Francesco D, Leech R, van Zoest RA, Su T, Geurtsen GJ, Schmand BA, Portegies P, Prins M, Wit FWNM, Sabin CA, Majoie C, Reiss P, Winston A, Sharp DJet al., 2017, Gray and White Matter Abnormalities in Treated Human Immunodeficiency Virus Disease and Their Relationship to Cognitive Function, CLINICAL INFECTIOUS DISEASES, Vol: 65, Pages: 422-432, ISSN: 1058-4838

JOURNAL ARTICLE

De Simoni S, Kochaj R, Jenkins P, Cole J, Sharp Det al., 2016, Changes in cerebral blood flow and their relationship to cognition following traumatic brain injury, Publisher: TAYLOR & FRANCIS INC, Pages: 605-605, ISSN: 0269-9052

CONFERENCE PAPER

Feeney C, Scott GP, Cole JH, Sastre M, Goldstone AP, Leech Ret al., 2016, Seeds of neuroendocrine doubt, NATURE, Vol: 535, Pages: E1-E2, ISSN: 0028-0836

JOURNAL ARTICLE

Jenkins P, De Simoni S, Fleminger J, Bourke N, Jolly A, Cole J, Towey D, Sharp Det al., 2016, Disruption to the dopaminergic system following traumatic brain injury, Publisher: TAYLOR & FRANCIS INC, Pages: 670-670, ISSN: 0269-9052

CONFERENCE PAPER

Jenkins PO, De Simoni S, Fleminger J, Bourke N, Jolly A, Cole J, Darian D, Sharp Det al., 2016, DISRUPTION TO THE DOPAMINERGIC SYSTEM AFTER TRAUMATIC BRAIN INJURY, Annual Meeting of the Association-of-British-Neurologists (ABN), Publisher: BMJ PUBLISHING GROUP, ISSN: 0022-3050

CONFERENCE PAPER

Jolly AE, De Simoni S, Cole JH, Sharp DJet al., 2016, Identifying cognitive impairment in TBI: A novel multivariate approach, Publisher: TAYLOR & FRANCIS INC, Pages: 518-518, ISSN: 0269-9052

CONFERENCE PAPER

Scott G, Ramlackhansingh AF, Edison P, Hellyer P, Cole J, Veronese M, Leech R, Greenwood RJ, Turkheimer FE, Gentleman SM, Heckemann RA, Matthews PM, Brooks DJ, Sharp DJet al., 2016, Amyloid pathology and axonal injury after brain trauma, NEUROLOGY, Vol: 86, Pages: 821-828, ISSN: 0028-3878

JOURNAL ARTICLE

Su T, Caan MWA, Wit FWNM, Schouten J, Geurtsen GJ, Cole JH, Sharp DJ, Vos FM, Prins M, Portegies P, Reiss P, Majoie CBet al., 2016, White matter structure alterations in HIV-1-infected men with sustained suppression of viraemia on treatment, AIDS, Vol: 30, Pages: 311-322, ISSN: 0269-9370

JOURNAL ARTICLE

Su T, Wit FWNM, Caan MWA, Schouten J, Prins M, Geurtsen GJ, Cole JH, Sharp DJ, Richard E, Reneman L, Portegies P, Reiss P, Majoie CBet al., 2016, White matter hyperintensities in relation to cognition in HIV-infected men with sustained suppressed viral load on combination antiretroviral therapy, AIDS, Vol: 30, Pages: 2329-2339, ISSN: 0269-9370

JOURNAL ARTICLE

Underwood J, Cole J, Sharp D, Winston A, Leech R, Majoie C, Caan M, De Francesco D, van Zoest R, Geurtsen G, Schmand B, Wit F, Reiss P, Sabin Cet al., 2016, Brain MRI changes associated with poorer cognitive function despite suppressive antiretroviral therapy, Publisher: WILEY-BLACKWELL, Pages: 6-6, ISSN: 1464-2662

CONFERENCE PAPER

Vera JH, Guo Q, Cole JH, Boasso A, Greathead L, Kelleher P, Rabiner EA, Kalk N, Bishop C, Gunn RN, Matthews PM, Winston Aet al., 2016, Neuroinflammation in treated HIV-positive individuals A TSPO PET study, NEUROLOGY, Vol: 86, Pages: 1425-1432, ISSN: 0028-3878

JOURNAL ARTICLE

Wise T, Radua J, Via E, Cardoner N, Abe O, Adams TM, Amico F, Cheng Y, Cole JH, de Azevedo Marques Périco C, Dickstein DP, Farrow TFD, Frodl T, Wagner G, Gotlib IH, Gruber O, Ham BJ, Job DE, Kempton MJ, Kim MJ, Koolschijn PCMP, Malhi GS, Mataix-Cols D, McIntosh AM, Nugent AC, O'Brien JT, Pezzoli S, Phillips ML, Sachdev PS, Salvadore G, Selvaraj S, Stanfield AC, Thomas AJ, van Tol MJ, van der Wee NJA, Veltman DJ, Young AH, Fu CH, Cleare AJ, Arnone Det al., 2016, Common and distinct patterns of grey-matter volume alteration in major depression and bipolar disorder: evidence from voxel-based meta-analysis., Mol Psychiatry

Finding robust brain substrates of mood disorders is an important target for research. The degree to which major depression (MDD) and bipolar disorder (BD) are associated with common and/or distinct patterns of volumetric changes is nevertheless unclear. Furthermore, the extant literature is heterogeneous with respect to the nature of these changes. We report a meta-analysis of voxel-based morphometry (VBM) studies in MDD and BD. We identified studies published up to January 2015 that compared grey matter in MDD (50 data sets including 4101 individuals) and BD (36 data sets including 2407 individuals) using whole-brain VBM. We used statistical maps from the studies included where available and reported peak coordinates otherwise. Group comparisons and conjunction analyses identified regions in which the disorders showed common and distinct patterns of volumetric alteration. Both disorders were associated with lower grey-matter volume relative to healthy individuals in a number of areas. Conjunction analysis showed smaller volumes in both disorders in clusters in the dorsomedial and ventromedial prefrontal cortex, including the anterior cingulate cortex and bilateral insula. Group comparisons indicated that findings of smaller grey-matter volumes relative to controls in the right dorsolateral prefrontal cortex and left hippocampus, along with cerebellar, temporal and parietal regions were more substantial in major depression. These results suggest that MDD and BD are characterised by both common and distinct patterns of grey-matter volume changes. This combination of differences and similarities has the potential to inform the development of diagnostic biomarkers for these conditions.Molecular Psychiatry advance online publication, 24 May 2016; doi:10.1038/mp.2016.72.

JOURNAL ARTICLE

Chalavi S, Vissia EM, Giesen ME, Nijenhuis ERS, Draijer N, Cole JH, Dazzan P, Pariante CM, Madsen SK, Rajagopalan P, Thompson PM, Toga AW, Veltman DJ, Reinders AATSet al., 2015, Abnormal Hippocampal Morphology in Dissociative Identity Disorder and Post-Traumatic Stress Disorder Correlates with Childhood Trauma and Dissociative Symptoms, HUMAN BRAIN MAPPING, Vol: 36, Pages: 1692-1704, ISSN: 1065-9471

JOURNAL ARTICLE

Cole JH, 2015, The influence of HIV on brain age: Preliminary results from the Co-morBidity in Relation to AIDS (COBRA) collaboration, 12th International Symposium on the Neurobiology and Neuroendocrinology of Aging, Publisher: PERGAMON-ELSEVIER SCIENCE LTD, Pages: 98-98, ISSN: 0531-5565

CONFERENCE PAPER

Cole JH, Leech R, Sharp DJ, 2015, Prediction of Brain Age Suggests Accelerated Atrophy after Traumatic Brain Injury, ANNALS OF NEUROLOGY, Vol: 77, Pages: 571-581, ISSN: 0364-5134

JOURNAL ARTICLE

Fu CHY, Legge RM, Cohen-Woods S, Cole JH, Aitchison KJ, McGuffin Pet al., 2015, Ethnic differences in BDNF Val66Met polymorphism Reply, Publisher: ROYAL COLLEGE OF PSYCHIATRISTS

OTHER

Gregory S, Cole JH, Farmer RE, Rees EM, Roos RAC, Sprengelmeyer R, Durr A, Landwehrmeyer B, Zhang H, Scahill RI, Tabrizi SJ, Frost C, Hobbs NZet al., 2015, Longitudinal Diffusion Tensor Imaging Shows Progressive Changes in White Matter in Huntington's Disease, JOURNAL OF HUNTINGTONS DISEASE, Vol: 4, Pages: 333-346, ISSN: 1879-6397

JOURNAL ARTICLE

Hobbs NZ, Farmer RE, Rees EM, Cole JH, Haider S, Malone IB, Sprengelmeyer R, Johnson H, Mueller H-P, Sussmuth SD, Roos RAC, Durr A, Frost C, Scahill RI, Landwehrmeyer B, Tabrizi SJet al., 2015, Short-interval observational data to inform clinical trial design in Huntington's disease., J Neurol Neurosurg Psychiatry, Vol: 86, Pages: 1291-1298

OBJECTIVES: To evaluate candidate outcomes for disease-modifying trials in Huntington's disease (HD) over 6-month, 9-month and 15-month intervals, across multiple domains. To present guidelines on rapid efficacy readouts for disease-modifying trials. METHODS: 40 controls and 61 patients with HD, recruited from four EU sites, underwent 3 T MRI and standard clinical and cognitive assessments at baseline, 6 and 15 months. Neuroimaging analysis included global and regional change in macrostructure (atrophy and cortical thinning), and microstructure (diffusion metrics). The main outcome was longitudinal effect size (ES) for each outcome. Such ESs can be used to calculate sample-size requirements for clinical trials for hypothesised treatment efficacies. RESULTS: Longitudinal changes in macrostructural neuroimaging measures such as caudate atrophy and ventricular expansion were significantly larger in HD than controls, giving rise to consistently large ES over the 6-month, 9-month and 15-month intervals. Analogous ESs for cortical metrics were smaller with wide CIs. Microstructural (diffusion) neuroimaging metrics ESs were also typically smaller over the shorter intervals, although caudate diffusivity metrics performed strongly over 9 and 15 months. Clinical and cognitive outcomes exhibited small longitudinal ESs, particularly over 6-month and 9-month intervals, with wide CIs, indicating a lack of precision. CONCLUSIONS: To exploit the potential power of specific neuroimaging measures such as caudate atrophy in disease-modifying trials, we propose their use as (1) initial short-term readouts in early phase/proof-of-concept studies over 6 or 9 months, and (2) secondary end points in efficacy studies over longer periods such as 15 months.

JOURNAL ARTICLE

Legge RM, Sendi S, Cole JH, Cohen-Woods S, Costafreda SG, Simmons A, Farmer AE, Aitchison KJ, McGuffin P, Fu CHYet al., 2015, Modulatory effects of brain-derived neurotrophic factor Val66Met polymorphism on prefrontal regions in major depressive disorder, BRITISH JOURNAL OF PSYCHIATRY, Vol: 206, Pages: 379-384, ISSN: 0007-1250

JOURNAL ARTICLE

Lorenz R, Monti R, Cole J, Anagnostopoulos C, Faisal AA, Montana G, Leech Ret al., 2015, Towards steering the chronnectome - on the potential of dynamic functional connectivity-based neurofeedback of large scale brain networks, Real-time Functional Imaging and Neurofeedback Conference

CONFERENCE PAPER

McColgan P, Seunarine KK, Razi A, Cole JH, Gregory S, Durr A, Roos RAC, Stout JC, Landwehrmeyer B, Scahill RI, Clark CA, Rees G, Tabrizi SJet al., 2015, Selective vulnerability of Rich Club brain regions is an organizational principle of structural connectivity loss in Huntington's disease, BRAIN, Vol: 138, ISSN: 0006-8950

JOURNAL ARTICLE

Vera J, Winston A, Gunn R, Rabiner E, Bishop C, Guo Q, Cole J, Matthews P, Boasso A, Greathead L, Kelleher Pet al., 2015, Microbial translocation is associated with neuroinflammation in HIV subjects on ART, Publisher: WILEY-BLACKWELL, Pages: 6-7, ISSN: 1464-2662

CONFERENCE PAPER

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