World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
49
Citations
13475
World Ranking
5882
National Ranking
477

Overview

What is he best known for?

The fields of study he is best known for:

  • Internal medicine
  • Psychiatry
  • Artificial intelligence

James H. Cole mainly investigates Neuroimaging, Ageing, Dementia, Neuroscience and Disease. His research in Neuroimaging intersects with topics in Cognition and Gerontology. James H. Cole focuses mostly in the field of Cognition, narrowing it down to matters related to Comorbidity and, in some cases, Atrophy.

The various areas that he examines in his Ageing study include Predictive modelling, Intraclass correlation, Raw data and Statistical parametric mapping. His Dementia research is multidisciplinary, relying on both White matter, Diffusion MRI and Traumatic brain injury. His biological study spans a wide range of topics, including Biomarker, Affect and Neuropsychiatry.

His most cited work include:

  • Predicting brain age with deep learning from raw imaging data results in a reliable and heritable biomarker (309 citations)
  • Common and distinct patterns of grey-matter volume alteration in major depression and bipolar disorder: evidence from voxel-based meta-analysis (253 citations)
  • Brain age predicts mortality (238 citations)

What are the main themes of his work throughout his whole career to date?

James H. Cole mainly focuses on Neuroimaging, Internal medicine, Cognition, White matter and Neuroscience. His Neuroimaging research incorporates themes from Dementia, Disease, Artificial intelligence, Ageing and Biomarker. His study on Internal medicine also encompasses disciplines like

  • Cardiology that connect with fields like Psychiatry,
  • Oncology together with Linear model.

His Cognition study combines topics in areas such as Brain size, Audiology, Clinical psychology and Cognitive decline. His studies in White matter integrate themes in fields like Diffusion MRI, Traumatic brain injury and Pathology. His Neuroscience research integrates issues from Huntington's disease and Case-control study.

He most often published in these fields:

  • Neuroimaging (44.87%)
  • Internal medicine (29.49%)
  • Cognition (21.15%)

What were the highlights of his more recent work (between 2019-2021)?

  • Neuroimaging (44.87%)
  • Dementia (18.59%)
  • Artificial intelligence (17.95%)

In recent papers he was focusing on the following fields of study:

His primary scientific interests are in Neuroimaging, Dementia, Artificial intelligence, Internal medicine and Magnetic resonance imaging. His Neuroimaging study integrates concerns from other disciplines, such as Biomarker, Cognition, Cohort and Brain size. His Dementia research incorporates elements of Cognitive psychology and Hippocampus.

As part of the same scientific family, James H. Cole usually focuses on Artificial intelligence, concentrating on Pattern recognition and intersecting with Voxel, Reliability and Multimodal imaging. His Internal medicine research includes elements of Structural brain abnormalities and Lateral ventricles. The Magnetic resonance imaging study combines topics in areas such as Clinical trial, Attention model and Medical imaging.

Between 2019 and 2021, his most popular works were:

  • ENIGMA and global neuroscience: A decade of large-scale studies of the brain in health and disease across more than 40 countries (97 citations)
  • Multimodality neuroimaging brain-age in UK biobank: relationship to biomedical, lifestyle, and cognitive factors (33 citations)
  • Commentary: Correction procedures in brain-age prediction. (31 citations)

In his most recent research, the most cited papers focused on:

  • Internal medicine
  • Psychiatry
  • Artificial intelligence

James H. Cole focuses on Internal medicine, Atrophy, Magnetic resonance imaging, Clinical trial and Expanded Disability Status Scale. His Internal medicine research is multidisciplinary, incorporating elements of Major depressive disorder and Structural brain abnormalities. James H. Cole has included themes like Schizophrenia, Conduct disorder, Eating disorders, Bipolar disorder and Dissociative identity disorder in his Major depressive disorder study.

His Atrophy study combines topics from a wide range of disciplines, such as Increased risk, Lateral ventricles, Age of onset, Brain aging and Depression. The study incorporates disciplines such as Attention model, Medical imaging and Radiology report in addition to Magnetic resonance imaging. He interconnects Confidence interval, Hazard ratio and Multiple sclerosis, Clinically isolated syndrome in the investigation of issues within Clinical trial.

Best Publications

  • Brain charts for the human lifespan

    Unknown

  • Predicting Age Using Neuroimaging: Innovative Brain Ageing Biomarkers.

    James H. Cole;Katja Franke

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

    James H. Cole;Rudra P. K. Poudel;Dimosthenis Tsagkrasoulis;Matthan W. A. Caan

  • Brain age predicts mortality

    J H Cole;S J Ritchie;M E Bastin;M C Valdés Hernández

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

    Paul M Thompson;Neda Jahanshad;Christopher R K Ching;Lauren E Salminen

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

    T Wise;J Radua;J Radua;E Via;N Cardoner

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

    James H. Cole;Robert Leech;David J. Sharp

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

    James H. Cole;James H. Cole;Riccardo E. Marioni;Sarah E. Harris;Ian J. Deary

  • ENIGMA and Global Neuroscience: A Decade of Large-Scale Studies of the Brain in Health and Disease Across More Than 40 Countries

    Paul Thompson

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

    James Cole;Sergi G. Costafreda;Peter McGuffin;Cynthia H.Y. Fu

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

    James H. Cole

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

    Laura K.M. Han;Richard Dinga;Richard Dinga;Tim Hahn;Christopher R.K. Ching

  • Commentary: Correction procedures in brain-age prediction.

    Ann-Marie G. de Lange;Ann-Marie G. de Lange;Ann-Marie G. de Lange;James H. Cole

  • Increased brain-predicted aging in treated HIV disease

    James H. Cole;Jonathan Underwood;Matthan W.A. Caan;Davide De Francesco

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

    Gregory Scott;Henrik Zetterberg;Henrik Zetterberg;Henrik Zetterberg;Amy Jolly;James H Cole

  • Neuroinflammation in treated HIV-positive individuals A TSPO PET study

    Jaime H. Vera;Qi Guo;James H. Cole;Adriano Boasso

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

    James H Cole;Amy Jolly;Sara de Simoni;Niall Bourke

  • White matter abnormalities and illness severity in major depressive disorder

    James Cole;Christopher A. Chaddock;Anne E. Farmer;Katherine J. Aitchison

  • Amyloid pathology and axonal injury after brain trauma

    Gregory Scott;Anil F. Ramlackhansingh;Paul Edison;Peter Hellyer

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

    James H. Cole;James H. Cole;James H. Cole;Joel Raffel;Tim Friede;Arman Eshaghi Md

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

    James H Cole;Tiina Annus;Liam R Wilson;Ridhaa Remtulla

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

    Neil S N Graham;Amy Jolly;Karl Zimmerman;Niall J Bourke

Frequent Co-Authors

David J. Sharp
David J. Sharp Imperial College London
Cynthia H.Y. Fu
Cynthia H.Y. Fu University of East London
Robert Leech
Robert Leech King's College London
Danai Dima
Danai Dima City, University of London
Rachael I. Scahill
Rachael I. Scahill University College London
Paul M. Thompson
Paul M. Thompson University of Southern California
Peter Reiss
Peter Reiss University of Amsterdam
Alan Winston
Alan Winston Imperial College London
Alexandra Durr
Alexandra Durr Sorbonne University
Caroline Sabin
Caroline Sabin University College London

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