J. Cole

发表

Stuart J. Ritchie, Qian Zhang, R. Marioni, 2017, Molecular Psychiatry.

Classification of Major Depressive Disorder via Multi-site Weighted LASSO Model pdf

Dan J. Stein, Paul M. Thompson, Dajiang Zhu, 2017, MICCAI.

White matter structure alterations in HIV-1-infected men with sustained suppression of viraemia on treatment

D. Sharp, P. Reiss, J. Cole, 2016, AIDS.

ENIGMA and global neuroscience: A decade of large-scale studies of the brain in health and disease across more than 40 countries

Emily L. Dennis, Dan J Stein, Joanna K. Bright, 2019, Biological Psychiatry.

Gray and White Matter Abnormalities in Treated Human Immunodeficiency Virus Disease and Their Relationship to Cognitive Function

Robert Leech, David J Sharp, Peter Reiss, 2017, Clinical infectious diseases : an official publication of the Infectious Diseases Society of America.

Altered caudate connectivity is associated with executive dysfunction after traumatic brain injury

Peter J Hellyer, Maneesh C. Patel, D. Sharp, 2017, Brain : a journal of neurology.

Predicting Age Using Neuroimaging: Innovative Brain Ageing Biomarkers

J. Cole, K. Franke, 2017, Trends in Neurosciences.

Brain age and other bodily ‘ages’: implications for neuropsychiatry

R. Marioni, I. Deary, J. Cole, 2018, Molecular Psychiatry.

Associations between polygenic risk scores for four psychiatric illnesses and brain structure using multivariate pattern recognition

M. Mehta, D. Dima, M. J. Rosa, 2018, NeuroImage: Clinical.

No effect of 5HTTLPR or BDNF Val66Met polymorphism on hippocampal morphology in major depression

A. Toga, P. Thompson, P. McGuffin, 2011, Genes, brain, and behavior.

Hippocampal atrophy in first episode depression: a meta-analysis of magnetic resonance imaging studies.

Peter McGuffin, James Cole, P. McGuffin, 2011, Journal of affective disorders.

Interactive impact of childhood maltreatment, depression, and age on cortical brain structure: mega-analytic findings from a large multi-site cohort

Colm G. Connolly, Dan J Stein, Samantha J. Brooks, 2019, Psychological Medicine.

Brain-predicted age in Down syndrome is associated with beta amyloid deposition and cognitive decline

Julio Acosta-Cabronero, Young T. Hong, Tim D. Fryer, 2017, Neurobiology of Aging.

Neuroimaging-derived brain-age: an ageing biomarker?

James H. Cole, J. Cole, 2017, Aging.

Diffuse axonal injury predicts neurodegeneration after moderate-severe traumatic brain injury.

D. Sharp, J. Schott, J. Cole, 2020, Brain : a journal of neurology.

Nonlinear biomarker interactions in conversion from mild cognitive impairment to Alzheimer's disease

P. Matthews, D. Sharp, B. Glocker, 2019, Human brain mapping.

Nonlinear biomarker interactions in conversion from mild cognitive impairment to Alzheimer's disease

Paul M. Matthews, David J. Sharp, Roger N. Gunn, 2019, Human brain mapping.

Active Acquisition for multimodal neuroimaging

Tobias C. Wood, Peter J Hellyer, F. Turkheimer, 2018, Wellcome open research.

Active Acquisition for multimodal neuroimaging

Tobias C. Wood, Peter J Hellyer, F. Turkheimer, 2018, Wellcome open research.

Structural brain changes in medically refractory focal epilepsy resemble premature brain aging

Thomas Thesen, James H. Cole, Heath R. Pardoe, 2017, Epilepsy Research.

Amyloid pathology and axonal injury after brain trauma

Paul Edison, Anil F. Ramlackhansingh, Federico E. Turkheimer, 2016, Neurology.

Prediction of brain age suggests accelerated atrophy after traumatic brain injury

Robert Leech, David J Sharp, James H Cole, 2015, Annals of neurology.

The ‘COmorBidity in Relation to AIDS’ (COBRA) cohort: Design, methods and participant characteristics

C. Franceschi, A. Winston, C. Sabin, 2018, PloS one.

Prediction of brain age and cognitive age: Quantifying brain and cognitive maintenance in aging

Klaus P. Ebmeier, T. Kaufmann, L. Westlye, 2020, Human brain mapping.

Subregional Hippocampal Deformations in Major Depressive Disorder

Nicholas D. Walsh, E. Bullmore, A. Toga, 2022 .

Clinical research cerebral MRI findings in HIV-positive subjects and appropriate controls

D. Sharp, A. Waldman, A. Winston, 2018, AIDS (London).

Longitudinal Diffusion Tensor Imaging Shows Progressive Changes in White Matter in Huntington's Disease.

C. Frost, R. Roos, S. Tabrizi, 2015, Journal of Huntington's disease.

Short-interval observational data to inform clinical trial design in early Huntington ’ s Disease

R. Roos, S. Tabrizi, A. Durr, 2015 .

Increased brain age in adults with Prader-Willi syndrome

Maneesh C. Patel, A. Holland, J. Cole, 2019, NeuroImage: Clinical.

Brain aging in major depressive disorder: results from the ENIGMA major depressive disorder working group

Erick Jorge Canales-Rodríguez, Dan J Stein, O. Andreassen, 2020, Molecular Psychiatry.

Associations between alcohol use and accelerated biological ageing

R. Marioni, H. Whalley, A. McIntosh, 2020, medRxiv.

Associations between alcohol use and accelerated biological ageing

R. Marioni, H. Whalley, A. McIntosh, 2020, medRxiv.

Structural Brain Abnormalities in Successfully Treated HIV Infection: Associations With Disease and Cerebrospinal Fluid Biomarkers

D. Sharp, C. Franceschi, B. Berkhout, 2017, The Journal of infectious diseases.

Subregional Hippocampal Morphology and Psychiatric Outcome in Adolescents Who Were Born Very Preterm and at Term

R. Murray, M. Walshe, P. Thompson, 2015, PloS one.

Genetic overlap between measures of hyperactivity/inattention and mood in children and adolescents.

P. McGuffin, J. Cole, J. Scourfield, 2009, Journal of the American Academy of Child and Adolescent Psychiatry.

Body mass index, but not FTO genotype or major depressive disorder, influences brain structure

P. Thompson, J. Cole, A. Simmons, 2013, Neuroscience.

A meta-analysis of structural MRI studies of the brain in systemic lupus erythematosus (SLE)

J. Cole, M. Kempton, M. de Groot, 2022, Clinical Rheumatology.

Evaluating multicenter DTI data in Huntington's disease on site specific effects: An ex post facto approach☆

R. Roos, S. Tabrizi, R. Sprengelmeyer, 2013, NeuroImage: Clinical.

Evaluation of multi-modal, multi-site neuroimaging measures in Huntington's disease: Baseline results from the PADDINGTON study☆

C. Frost, R. Roos, S. Tabrizi, 2012, NeuroImage: Clinical.

Spatial patterns of progressive brain volume loss after moderate-severe traumatic brain injury

Maneesh C. Patel, D. Sharp, S. de Simoni, 2018, Brain : a journal of neurology.

Serum IGF-I levels are associated with improved white matter recovery after TBI

Peter J Hellyer, Lucia M. Li, D. Sharp, 2017 .

Abnormal hippocampal morphology in dissociative identity disorder and post‐traumatic stress disorder correlates with childhood trauma and dissociative symptoms

A. Toga, P. Thompson, C. Pariante, 2015, Human brain mapping.

Analysis of an Automated Machine Learning Approach in Brain Predictive Modelling: A data-driven approach to Predict Brain Age from Cortical Anatomical Measures

Peter J Hellyer, F. Turkheimer, H. Whalley, 2019, 1910.03349.

Increased brain-predicted aging in treated HIV disease

David J. Sharp, Robert Leech, James H. Cole, 2017, Neurology.

Automated Machine Learning in Brain Predictive Modelling: A data-driven approach to Predict Brain Age from Cortical Anatomical Measures

Federico E. Turkheimer, Robert Leech, Jessica Dafflon, 2019, 2019 Conference on Cognitive Computational Neuroscience.

Commentary: Correction procedures in brain-age prediction

J. Cole, A. D. de Lange, 2020, NeuroImage: Clinical.

Unravelling the GSK3-related genotypic interaction network influencing hippocampal volume in recurrent major depressive disorder

P. Matthews, P. Muglia, P. McGuffin, 2019 .

Unravelling the GSK3&bgr;-related genotypic interaction network influencing hippocampal volume in recurrent major depressive disorder

P. Matthews, P. Muglia, P. McGuffin, 2018, Psychiatric genetics.

Familial and environmental influences on brain volumes in twins with schizophrenia

R. Murray, P. McGuire, M. Picchioni, 2017, Journal of psychiatry & neuroscience : JPN.

Brain‐age predicts subsequent dementia in memory clinic patients

C. Steves, D. Aarsland, J. Cole, 2020, medRxiv.

University of Groningen Brain Aging in Major Depressive Disorder: Results from the ENIGMA Major Depressive Disorder working group ‘for the ENIGMA-MDD Consortium’; Han,

Colm G. Connolly, Erick Jorge Canales-Rodríguez, Dan J Stein, 2019 .

Brain-age is associated with progression to dementia in memory clinic patients

C. Steves, D. Aarsland, J. Cole, 2022, NeuroImage: Clinical.

Life course, genetic, and neuropathological associations with brain age in the 1946 British Birth Cohort: a population-based study

Nick C Fox, F. Barkhof, J. Schott, 2022, The Lancet. Healthy longevity.

Brain-age is associated with progression to dementia in memory clinic patients

C. Steves, D. Aarsland, J. Cole, 2022, NeuroImage: Clinical.

Multimodality neuroimaging brain-age in UK biobank: relationship to biomedical, lifestyle, and cognitive factors

James H Cole, J. Cole, 2019, Neurobiology of Aging.

Cross-Sectional Brain-Predicted Age Differences in Community-Dwelling Middle-Aged and Older Adults with High Impact Knee Pain

R. Fillingim, J. Cole, Z. Huo, 2022, Journal of pain research.

Hippocampal Morphology and Childhood Traumatization in Dissociative Identity Disorder and Posttraumatic Stress Disorder

A. Toga, D. Veltman, A. Reinders, 2013 .

Brain charts for the human lifespan

Dan J Stein, Gabriel A. Devenyi, R. Dolan, 2021, Nature.

Mind the gap: performance metric evaluation in brain-age prediction

Klaus P. Ebmeier, Bogdan Draganski, T. Kaufmann, 2021, bioRxiv.

A U-N ET MODEL OF LOCAL BRAIN - AGE

D. Sharp, B. Glocker, J. Cole, 2021 .

Neuroimaging Studies Illustrate the Commonalities Between Ageing and Brain Diseases

J. Cole, James H. Cole, 2018, BioEssays : news and reviews in molecular, cellular and developmental biology.

Stratifying drug treatment of cognitive impairments after traumatic brain injury using neuroimaging.

Maneesh C. Patel, D. Sharp, R. Greenwood, 2019, Brain : a journal of neurology.

Minocycline reduces chronic microglial activation after brain trauma but increases neurodegeneration

Maneesh C. Patel, P. Matthews, D. Sharp, 2017, Brain : a journal of neurology.

Cerebellar abnormalities in Huntington's disease: A role in motor and psychiatric impairment?

S. Tabrizi, A. Durr, R. Scahill, 2014, Movement disorders : official journal of the Movement Disorder Society.

Serum insulin‐like growth factor‐I levels are associated with improved white matter recovery after traumatic brain injury

Timothy E. Ham, Peter J Hellyer, Lucia M. Li, 2017, Annals of neurology.

Inflammaging in Major Depressive Disorder: Associations between markers of inflammation and brain ageing in depression across two large community-based cohorts

G. Waiter, J. Cole, A. McIntosh, 2021, medRxiv.

ENIGMA and global neuroscience: A decade of large-scale studies of the brain in health and disease across more than 40 countries

Rebecca C. Knickmeyer, Dan J Stein, Joanna K. Bright, 2019, Biological Psychiatry.

Test-Retest Reliability of Diffusion Tensor Imaging in Huntington’s Disease

Chris Frost, Hans J. Johnson, James H. Cole, 2014, PLoS currents.

Attitudes to ageing, biomarkers of ageing and mortality: the Lothian Birth Cohort 1936

R. Marioni, I. Deary, J. Cole, 2020, Journal of Epidemiology & Community Health.

General dimensions of human brain morphometry inferred from genome‐wide association data

Stuart J. Ritchie, James W. Madole, I. Deary, 2021, European Neuropsychopharmacology.

Prediction of brain age and cognitive age: Quantifying brain and cognitive maintenance in aging

Klaus P. Ebmeier, T. Kaufmann, L. Westlye, 2020, Human brain mapping.

Predicting brain age with deep learning from raw imaging data results in a reliable and heritable biomarker

Giovanni Montana, Rudra P. K. Poudel, Matthan W. A. Caan, 2016, NeuroImage.

White matter abnormalities and illness severity in major depressive disorder

A. Farmer, P. McGuffin, C. H. Fu, 2012, British Journal of Psychiatry.

Neuroinflammation in treated HIV-positive individuals

Roger N Gunn, Qi Guo, Paul M Matthews, 2016, Neurology.

Worse Physical Disability Is Associated With the Expression of PD-1 on Inflammatory T-Cells in Multiple Sclerosis Patients With Older Appearing Brains

J. Cole, R. Nicholas, P. Muraro, 2022, Frontiers in Neurology.

Assessment of brain age in posttraumatic stress disorder: Findings from the ENIGMA PTSD and brain age working groups

Elizabeth A. Olson, Lee A. Baugh, Lauren E. Salminen, 2021, Brain and behavior.

Brain age predicted using graph convolutional neural network explains developmental trajectory in preterm neonates

N. Jahanshad, A. Toga, Duan Xu, 2021, bioRxiv.

Brain aging in major depressive disorder: results from the ENIGMA major depressive disorder working group

Olaf Steinsträter, Tilo Kircher, Axel Krug, 2019, bioRxiv.

Modulation of amygdala response and connectivity in depression by serotonin transporter polymorphism and diagnosis.

A. Farmer, P. McGuffin, S. Costafreda, 2013, Journal of affective disorders.

Interactive impact of severity of childhood maltreatment, depression and age on cortical brain structure: mega-analytic findings from a large multi-site cohort

Colm G. Connolly, Samantha J. Brooks, Lauren E. Salminen, 2019 .

The classification of depression: are we still confused?

A. Farmer, P. McGuffin, J. Cole, 2008, British Journal of Psychiatry.

Beyond the average patient: how neuroimaging models can address heterogeneity in dementia

J. Schott, A. Marquand, J. Cole, 2021, Brain : a journal of neurology.

Dopaminergic abnormalities following traumatic brain injury

Maneesh C. Patel, D. Sharp, R. Greenwood, 2018, Brain : a journal of neurology.

Title: Nonlinear biomarker interactions in conversion from Mild Cognitive Impairment to Alzheimer’s disease

P. Matthews, D. Sharp, R. Gunn, 2019 .

Selective vulnerability of Rich Club brain regions is an organizational principle of structural connectivity loss in Huntington’s disease

Adeel Razi, Geraint Rees, Julie C. Stout, 2015, Brain : a journal of neurology.

Dopamine D2/D3 receptor abnormalities after traumatic brain injury and their relationship to post-traumatic depression

D. Sharp, G. Searle, R. Gunn, 2019, NeuroImage: Clinical.

Seeds of neuroendocrine doubt

R. Leech, J. Cole, G. Scott, 2016, Nature.

Multimodal brain-age prediction and cardiovascular risk: The Whitehall II MRI sub-study

Lars T. Westlye, Ludovica Griffanti, Tobias Kaufmann, 2020, NeuroImage.

Network Modeling Sex Differences in Brain Integrity and Metabolic Health

Drew D. Gourley, J. Cole, A. Haley, 2021, Frontiers in Aging Neuroscience.

An automated machine learning approach to predict brain age from cortical anatomical measures

Robert Leech, Jessica Dafflon, Federico Turkheimer, 2020, Human brain mapping.

Short-interval observational data to inform clinical trial design in Huntington's disease

C. Frost, R. Roos, S. Tabrizi, 2015, Journal of Neurology, Neurosurgery & Psychiatry.

No Evidence for Accelerated Aging-Related Brain Pathology in Treated Human Immunodeficiency Virus: Longitudinal Neuroimaging Results From the Comorbidity in Relation to AIDS (COBRA) Project

D. Sharp, R. Leech, A. Winston, 2018, Clinical infectious diseases : an official publication of the Infectious Diseases Society of America.

White matter hyperintensities in relation to cognition in HIV-infected men with sustained suppressed viral load on combination antiretroviral therapy

D. Sharp, P. Reiss, J. Cole, 2016, AIDS.

Cannabis use in patients with early psychosis is associated with alterations in putamen and thalamic shape

P. McGuire, Steven C. R. Williams, D. Lythgoe, 2020, Human brain mapping.

Distributional Gaussian Process Layers for Outlier Detection in Image Segmentation

Konstantinos Kamnitsas, Ben Glocker, James H. Cole, 2021, IPMI.

Brain Age: A novel approach to quantify the impact of multiple sclerosis on the brain (P1.371)

D. Sharp, J. Cole, R. Nicholas, 2017 .

Traumatic brain injury: a comparison of diffusion and volumetric magnetic resonance imaging measures

D. Sharp, J. Cole, P. Lally, 2021, Brain communications.

Rapid processing and quantitative evaluation of multicontrast EPImix scans for adaptive multimodal imaging

Richard E. Daws, S. Skare, V. Giampietro, 2021, bioRxiv.

Quantification of the Biological Age of the Brain Using Neuroimaging

J. Cole, K. Franke, N. Cherbuin, 2018, Healthy Ageing and Longevity.

WHITE MATTER HYPERINTENSITIES IN RELATION TO COGNITION IN HIV-INFECTED MEN WITH SuSTAINED SuPPRESSED VIRAL LOAD ON CART

D. Sharp, J. Cole, E. Richard, 2017 .

An uncertainty-aware, shareable, and transparent neural network architecture for brain-age modeling

Fabian Bamberg, Thoralf Niendorf, Svenja Caspers, 2021, Science advances.

Bayesian Optimization for Neuroimaging Pre-processing in Brain Age Classification and Prediction

Jenessa Lancaster, Romy Lorenz, James H. Cole, 2018, Front. Aging Neurosci..

Modulatory effects of brain-derived neurotrophic factor Val66Met polymorphism on prefrontal regions in major depressive disorder

A. Farmer, P. McGuffin, S. Costafreda, 2015, British Journal of Psychiatry.

Multivariate Pattern Analysis of Volumetric Neuroimaging Data and Its Relationship With Cognitive Function in Treated HIV Disease

D. Sharp, R. Leech, A. Winston, 2018, Journal of acquired immune deficiency syndromes.

Validation of a Novel Multivariate Method of Defining HIV-Associated Cognitive Impairment

D. Sharp, A. Winston, C. Sabin, 2019, Open forum infectious diseases.

Editorial: Predicting Chronological Age From Structural Neuroimaging: The Predictive Analytics Competition 2019

Christian Gaser, U. Dannlowski, J. Cole, 2021, Frontiers in Psychiatry.

University of Birmingham ENIGMA and global neuroscience

Rebecca C. Knickmeyer, C. Francks, B. Franke, 2020 .

S. Gold, T. Schmitz-Hübsch, J. Cole, 2023, iScience.

Editorial: Deep Learning in Aging Neuroscience

Andrés Ortiz, Javier Ramírez, Juan M. Górriz, 2020, Frontiers in Neuroinformatics.

Comparison of volumetric brain analysis in subjects with rheumatoid arthritis and ulcerative colitis

J. Cole, M. Kempton, M. Groot, 2023, medRxiv.

Neuroinflammation in treated HIV-positive individuals

P. Matthews, A. Winston, E. Rabiner, 2016, Neurology.