← Back to directory

James H. Cole

Researcher Next ID · RN-025809

Researcher · Neuroscience

Queen Mary University of London

London, Pakistan

Not currently recruitingFunding unknown
Works count
377
Citation count
17,982
H-index
58
i10-index
159

Research interests

Neuroscience
Medicine
Environmental Science
Computer Science
Functional Brain Connectivity Studies
Dementia and Cognitive Impairment Research
Advanced Neuroimaging Techniques and Applications
Health, Environment, Cognitive Aging
Machine Learning in Healthcare

Publications

  • Interpretable machine learning for dementia: A systematic review

    Alzheimer s & Dementia · 2023 · 10.1002/alz.12948

  • Interpretable machine learning for dementia: A systematic review

    Alzheimer s & Dementia · 2023 · 10.1002/alz.12948

  • Interpretable machine learning for dementia: A systematic review

    Alzheimer s & Dementia · 2023 · 10.1002/alz.12948

  • Mind the gap: Performance metric evaluation in brain‐age prediction

    Human Brain Mapping · 2022 · 10.1002/hbm.25837

  • Mind the gap: Performance metric evaluation in brain‐age prediction

    Human Brain Mapping · 2022 · 10.1002/hbm.25837

  • Mind the gap: Performance metric evaluation in brain‐age prediction

    Human Brain Mapping · 2022 · 10.1002/hbm.25837

  • Brain charts for the human lifespan

    Nature · 2022 · https://doi.org/10.1038/s41586-022-04554-y

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

    NeuroImage · 2020 · 10.1016/j.neuroimage.2020.117292

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

    Translational Psychiatry · 2020 · https://doi.org/10.1038/s41398-020-0705-1

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

    Neurobiology of Aging · 2020 · 10.1016/j.neurobiolaging.2020.03.014

  • Commentary: Correction procedures in brain-age prediction

    NeuroImage Clinical · 2020 · 10.1016/j.nicl.2020.102229

  • Diffuse axonal injury predicts neurodegeneration after moderate–severe traumatic brain injury

    Brain · 2020 · 10.1093/brain/awaa316

  • Longitudinal Assessment of Multiple Sclerosis with the Brain‐Age Paradigm

    Annals of Neurology · 2020 · 10.1002/ana.25746

  • Diffuse axonal injury predicts neurodegeneration after moderate–severe traumatic brain injury

    Brain · 2020 · 10.1093/brain/awaa316

  • Longitudinal Assessment of Multiple Sclerosis with the Brain‐Age Paradigm

    Annals of Neurology · 2020 · 10.1002/ana.25746

  • Diffuse axonal injury predicts neurodegeneration after moderate–severe traumatic brain injury

    Brain · 2020 · 10.1093/brain/awaa316

  • Longitudinal Assessment of Multiple Sclerosis with the Brain‐Age Paradigm

    Annals of Neurology · 2020 · 10.1002/ana.25746

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

    Human Brain Mapping · 2020 · 10.1002/hbm.25316

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

    Human Brain Mapping · 2020 · 10.1002/hbm.25316

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

    Human Brain Mapping · 2020 · 10.1002/hbm.25316

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

    NeuroImage · 2020 · 10.1016/j.neuroimage.2020.117292

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

    NeuroImage · 2020 · 10.1016/j.neuroimage.2020.117292

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

    Molecular Psychiatry · 2018 · 10.1038/s41380-018-0098-1

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

    NeuroImage · 2017 · https://doi.org/10.1016/j.neuroimage.2017.07.059

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

    Neurobiology of Aging · 2017 · 10.1016/j.neurobiolaging.2017.04.006

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

    Neurobiology of Aging · 2017 · 10.1016/j.neurobiolaging.2017.04.006

  • Brain age predicts mortality

    Molecular Psychiatry · 2017 · https://doi.org/10.1038/mp.2017.62

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

    Neurobiology of Aging · 2017 · 10.1016/j.neurobiolaging.2017.04.006

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

    Brain · 2017 · 10.1093/brain/awx354

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

    Brain · 2017 · 10.1093/brain/awx354

  • Minocycline reduces chronic microglial activation after brain trauma but increases neurodegeneration

    Brain · 2017 · 10.1093/brain/awx339

  • Predicting Age Using Neuroimaging: Innovative Brain Ageing Biomarkers

    Trends in Neurosciences · 2017 · https://doi.org/10.1016/j.tins.2017.10.001

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

    Brain · 2017 · 10.1093/brain/awx354

  • Amyloid pathology and axonal injury after brain trauma

    Neurology · 2016 · 10.1212/wnl.0000000000002413

  • Common and distinct patterns of grey-matter volume alteration in major depression and bipolar disorder: evidence from voxel-based meta-analysis

    Molecular Psychiatry · 2016 · 10.1038/mp.2016.72

  • Amyloid pathology and axonal injury after brain trauma

    Neurology · 2016 · 10.1212/wnl.0000000000002413

  • Neuroinflammation in treated HIV-positive individuals

    Neurology · 2016 · 10.1212/wnl.0000000000002485

  • Amyloid pathology and axonal injury after brain trauma

    Neurology · 2016 · 10.1212/wnl.0000000000002413

  • Reconstructing 16S rRNA genes in metagenomic data

    Bioinformatics · 2015 · 10.1093/bioinformatics/btv231

  • Prediction of brain age suggests accelerated atrophy after traumatic brain injury

    Annals of Neurology · 2015 · 10.1002/ana.24367

  • Reconstructing 16S rRNA genes in metagenomic data

    Bioinformatics · 2015 · 10.1093/bioinformatics/btv231

  • Reconstructing 16S rRNA genes in metagenomic data

    Bioinformatics · 2015 · 10.1093/bioinformatics/btv231

  • White matter abnormalities and illness severity in major depressive disorder

    The British Journal of Psychiatry · 2012 · 10.1192/bjp.bp.111.100594

  • White matter abnormalities and illness severity in major depressive disorder

    The British Journal of Psychiatry · 2012 · 10.1192/bjp.bp.111.100594

  • White matter abnormalities and illness severity in major depressive disorder

    The British Journal of Psychiatry · 2012 · 10.1192/bjp.bp.111.100594

  • Hippocampal atrophy in first episode depression: A meta-analysis of magnetic resonance imaging studies

    Journal of Affective Disorders · 2011 · 10.1016/j.jad.2011.05.057

  • The minimum information about a genome sequence (MIGS) specification

    Nature Biotechnology · 2008 · 10.1038/nbt1360

  • Terminal Restriction Fragment Length Polymorphism Analysis Program, a Web-Based Research Tool for Microbial Community Analysis

    Applied and Environmental Microbiology · 2000 · 10.1128/aem.66.8.3616-3620.2000

Current projects

    No projects listed.