JC
James H Cole
BrainMagnetic Resonance ImagingAgingMRINeuroimagingneuroimagingneurologyneurosciencebrain agecs.CV
On Valency
published · living versionsW_hxpqsq9m·v1 · currentpublished
Predicting brain age with deep learning from raw imaging data results in a reliable and heritable biomarker
with Rudra PK Poudel, Dimosthenis Tsagkrasoulis, Matthan WA Caan, Claire Steves +2
1 version
Preprints & journals
271 papers in the corpus · 2003–2026Reply to 'Low-field MRI for equitable epilepsy diagnosis in resource-limited settings'.42527587 · Evans, Tavia E, Harper, Joshua, Salehi, Aram et al.2026 · 0 citationsNature reviews. Neurology. 2026;22(10):662
Comparison of volumetric brain analysis in subjects with rheumatoid arthritis and ulcerative colitis.39635596 · Cox, Jennifer G, de Groot, Marius, Kempton, Matthew J et al.2026 · 2 citationsFrontiers in medicine. 2024;11:1468910
Decreased amyloid-related structure-function coupling in preclinical Alzheimer's disease.42265349 · Arunachalam, Prithvi, Pieperhoff, Leonard, Lorenzini, Luigi et al.2026 · 0 citationsCommunications medicine. 2026;6(1)
Brain-age in ultra-low-field MRI: How well does it work?42761967 · Biondo, Francesca, Bennallick, Carly, Martin, Sophie A et al.2026 · 2 citationsImaging neuroscience (Cambridge, Mass.). 2026;4
Brain aging in bipolar disorder using a neuroimaging and machine learning-derived metric: Findings from the ENIGMA BD Working Group.41587693 · Ng, Hui Xin, Abé, Christoph, Alda, Martin et al.2026 · 3 citationsJournal of affective disorders. 2026;403:121234
Latent representations of early brain development: A multivariate normative model of brain structure and behaviour.42322776 · Zabihi, Mariam, Biondo, Francesca, O'Muircheartaigh, Jonathan et al.2026 · 1 citationDevelopmental cognitive neuroscience. 2026;80:101766
The value of brain age as a transdiagnostic biomarker of neurodegeneration.42539058 · Bos, Lonneke, van Nederpelt, David R, Cole, James H et al.2026 · 0 citationsmedRxiv : the preprint server for health sciences. 2026
PatientSpace: A multimodal graph-based latent representation framework for modeling neurodegenerative disease heterogeneity.42471130 · Manouvriez, Dorian, Kuchcinski, Grégory, Lecerf, Simon et al.2026 · 0 citationsNeuroImage. 2026;338:122136
Brain Age Is Longitudinally Associated With Sensorimotor Impairment and Mild Cognitive Impairment in Subacute Stroke.41085182 · Marin-Pardo, Octavio, Khan, Mahir H, Chakraborty, Stuti et al.2026 · 2 citationsJournal of the American Heart Association. 2025;14(20):e041603
Brain Age Estimation on T2-FLAIR Scans for Application to Multiple Sclerosis.41853885 · Colman, Jordan, Pontillo, Giuseppe, Goodkin, Olivia et al.2026 · 0 citationsHuman brain mapping. 2026;47(5):e70425
Investigating the Utility of Explainable Artificial Intelligence for Neuroimaging-Based Dementia Diagnosis and Prognosis.41626721 · Martin, Sophie A, Zhao, An, Qu, Jiongqi et al.2026 · 3 citationsHuman brain mapping. 2026;47(2):e70456
Mediation Analysis Between Brain Age, Disease-Modifying Factors, and Disability and Cognitive Performance in Multiple Sclerosis.42308438 · Bos, Lonneke, Wink, Alle Meije, Cole, James H et al.2026 · 0 citationsNeurology. 2026;107(1):e218161
An automated quantitative report for multiple sclerosis using only 3D T2-fluid-attenuated inversion recovery MRI.42249985 · Mendelsohn, Zoe, Prados, Ferran, Pontillo, Giuseppe et al.2026 · 0 citationsNeuroradiology. 2026
Accelerated Brain Aging Identifies Functional Vulnerability Beyond Chronological Age in Multiple Sclerosis.42076551 · Monaghan, Patrick G, Takla, Taylor N, Cole, James H et al.2026 · 2 citationsSensors (Basel, Switzerland). 2026;26(8)
A composite measure of cerebral small vessel disease predicts cognitive change after stroke10.64898/2026.04.23.26351403v1 · Khan, M. H., Chakraborty, S., Marin-Pardo, O. et al.2026 · 0 citationsmedRxiv
Estimating white matter hyperintensities volume in individuals with stroke using T1-weighted images.42011418 · Khan, Mahir H, Chakraborty, Stuti, Ferris, Jennifer K et al.2026 · 1 citationNeuroimage. Reports. 2026;6(2):100344
Publisher Correction: Brain charts for the human lifespan.36151472 · Bethlehem, R A I, Seidlitz, J, White, S R et al.2026 · 16 citationsNature. 2022;610(7931):E6
Ultra-fast MRI for brain-age prediction in a real-world cognitive disorders clinic.41930367 · Navarro-González, Rafael, de Luis-García, Rodrigo, Aja-Fernández, Santiago et al.2026 · 0 citationsFrontiers in aging neuroscience. 2026;18:1731909
Publisher Correction: A perspective on brain-age estimation and its clinical promise.39080428 · Gaser, Christian, Kalc, Polona, Cole, James H2026 · 3 citationsNature computational science. 2024;4(10):797
AutoML-Multiverse: An Instability-Aware Framework for Quantifying Analytic Variability in Alzheimer's Disease Machine-Learning Studies10.64898/2026.03.13.26347938v1 · Kohli, M., Castro Leal, G., Wyllie, D. et al.2026 · 0 citationsmedRxiv
Judged by your neighbors: A novel framework for personalized assessment of brain structural aging effects in diverse populations10.1101/2024.12.24.24319598v4 · Leenings, R., Winter, N. R., Ernsting, J. et al.2024 · 0 citationsmedRxiv
Quantitative susceptibility mapping reveals differences between subtypes of Lewy body dementia.40904193 · Bhome, Rohan, Thomas, George E C, Hannaway, Naomi et al.2026 · 6 citationsBrain : a journal of neurology. 2026;149(3):1058-1069
Self-Supervised Text-Vision Alignment for Automated Brain MRI Abnormality Detection: A Multicenter Study (ALIGN Study).41295086 · Wood, David A, Guilhem, Emily, Kafiabadi, Sina et al.2026 · 1 citationRadiology. Artificial intelligence. 2026;8(2):e240619
Shared genetic architecture of brain age gap across 30 cohorts worldwide.41480039 · Baltramonaityte, Vilte, Jawinski, Philippe, Staginnus, Marlene et al.2026 · 0 citationsmedRxiv : the preprint server for health sciences. 2025
Collaborative AI for precision neurorehabilitation: a roadmap.41310676 · Liew, Sook-Lei, Cotton, R James, Burdet, Etienne et al.2025 · 13 citationsJournal of neuroengineering and rehabilitation. 2025;22(1):269
Charting brain morphology in international healthy and neurological populations.41461930 · Zhuo, Zhizheng, Chai, Li, Wang, Yinshan et al.2025 · 14 citationsNature neuroscience. 2025
Structural similarity networks reveal brain vulnerability in dementia.41451870 · Montagnese, Marcella, Ebneabbasi, Amir, García-San-Martín, Natalia et al.2025 · 4 citationsAlzheimer's & dementia : the journal of the Alzheimer's Association. 2025;21(12):e70973
Association of Brain Age With Physical Disability and Cognitive Impairment in People With Multiple Sclerosis of the Same Age.41411602 · Bos, Lonneke, Wink, Alle Meije, Cole, James H et al.2025 · 9 citationsNeurology. 2026;106(2):e214527
Brain age gap reduction following exercise mirrors clinical improvements in schizophrenia spectrum disorders.41067091 · Yilmaz, Deniz, Papiol, Sergi, Keeser, Daniel et al.2025 · 2 citationsNeuroImage. Clinical. 2025;48:103881
Regional brain aging patterns reveal disease-specific pathways of neurodegeneration10.1101/2025.11.12.25339989v1 · Vakli, P., Weiss, B., Keresztes, A. et al.2025 · 0 citationsmedRxiv
CoCoLIT: ControlNet-Conditioned Latent Image Translation for MRI to Amyloid PET Synthesis2508.01292v2 · Alec Sargood, Lemuel Puglisi, James H. Cole et al.2025 · 1 citationarXiv
Multi-cohort, multi-sequence harmonisation for cerebrovascular brain age.41164781 · Dijsselhof, Mathijs B J, Moore, Candace, Amiri, Saba et al.2025 · 3 citationsImaging neuroscience (Cambridge, Mass.). 2025;3
Estimating white matter hyperintensities volume in individuals with stroke using T1-weighted images10.1101/2025.10.22.25338564v1 · Khan, M. H., Chakraborty, S., Ferris, J. K. et al.2025 · 1 citationmedRxiv
Brain-age in ultra-low-field MRI: how well does it work?10.1101/2025.10.19.25338298v1 · Biondo, F., Bennallick, C., Martin, S. A. et al.2025 · 2 citationsmedRxiv
Author Response: Sex-Dependent Effects of Cardiometabolic Health and APOE4 on Brain Age: A Longitudinal Cohort Study.41105899 · Subramaniapillai, Sivaniya, Cole, James H, de Lange, Ann-Marie G2025 · 0 citationsNeurology. 2025;105(9):e210221
WITHDRAWN: BabyPy: a brain-age model for infancy, childhood and adolescence10.1101/2025.02.05.636598v3 · Biondo, F., O'Muircheartaigh, J., Bethlehem, R. A. I. et al.2025 · 2 citationsbioRxiv
When Age Is More Than a Number: Acceleration of Brain Aging in Neurodegenerative Diseases.40841153 · Doering, Elena, Hoenig, Merle C, Cole, James H et al.2025 · 5 citationsJournal of nuclear medicine : official publication, Society of Nuclear Medicine. 2025;66(10):1516-1521
Rician likelihood loss for quantitative MRI using self-supervised deep learning2307.07072v1 · Christopher S. Parker, Anna Schroder, Sean C. Epstein et al.2023 · 6 citationsNMR.in.Biomedicine. 38(10), 2005, e70136
Epigenetic and Structural Brain Aging and Their Associations With Major Depressive Disorder.40994835 · Xu, Eileen Y, Green, Claire, McCartney, Daniel L et al.2025 · 1 citationBiological psychiatry global open science. 2025;5(6):100577
Neuroanatomical normative modelling in frontotemporal lobar degeneration: higher heterogeneity in the behavioural variant.40986096 · Konwar, Srijan, Hunyadvari, Nikolett, Venneri, Annalena et al.2025 · 1 citationJournal of neurology. 2025;272(10):642
Impact of hospital-specific domain adaptation on BERT-based models to classify neuroradiology reports.40097844 · Agarwal, Siddharth, Wood, David, Murray, Benjamin A K et al.2025 · 4 citationsEuropean radiology. 2025;35(9):5299-5313
Latent Representations of Early Brain Development: A Multivariate Normative Model of Brain Structure and Behaviour10.1101/2025.08.14.668769v2 · Zabihi, M., Biondo, F., O'Muircheartaigh, J. et al.2025 · 1 citationbioRxiv
Explainable AI Methods for Neuroimaging: Systematic Failures of Common Tools, the Need for Domain-Specific Validation, and a Proposal for Safe Application.40799810 · Siegel, Nys Tjade, Cole, James H, Habes, Mohamad et al.2025 · 1 citationArXiv. 2025
Estimated Brain Age in Healthy Aging and Across Multiple Neurological Disorders.39588683 · Chai, Li, Sun, Jun, Zhuo, Zhizheng et al.2025 · 13 citationsJournal of magnetic resonance imaging : JMRI. 2025;62(3):869-879
Explainable AI Methods for Neuroimaging: Systematic Failures of Common Tools, the Need for Domain-Specific Validation, and a Proposal for Safe Application2508.02560v1 · Nys Tjade Siegel, James H. Cole, Mohamad Habes et al.2025 · 1 citationarXiv
Towards precision MRI biomarkers in epilepsy with normative modelling.40043180 · Mito, Remika, Cole, James H, Genc, Sila et al.2025 · 19 citationsBrain : a journal of neurology. 2025;148(7):2247-2261
Brain age prediction from MRI scans in neurodegenerative diseases.40396549 · Papouli, Anthi, Cole, James H2025 · 9 citationsCurrent opinion in neurology. 2025;38(4):316-321
A large-scale ENIGMA multisite replication study of brain age in depression.40567563 · Han, Laura K M, Dinga, Richard, Leenings, Ramona et al.2025 · 29 citationsNeuroimage. Reports. 2022;2(4):100149
Repeatability and reproducibility of brain age estimates in multiple sclerosis for three publicly available models.40567451 · Bos, Lonneke, van Nederpelt, David R, Cole, J H et al.2025 · 6 citationsNeuroimage. Reports. 2025;5(2):100252
The role of cognitive and brain reserve in the clinical presentation and progression of amyotrophic lateral sclerosis.40542104 · Temp, Anna G M, Tarakdjian, Gaël Nils, Kasper, Elisabeth et al.2025 · 3 citationsScientific reports. 2025;15(1):20232
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