ArticleBrain communications2025
Neuroimaging-based data-driven subtypes of spatiotemporal atrophy due to Parkinson's disease.
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Article in Brain communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Spatiotemporal Progression Patterns of Striatal Dopamine Depletion and Cerebral Hypoperfusion in Parkinson's Disease.Movement disorders : official journal of the Movement Disorder Society · 2026Article
- Data-driven trajectories of atrophy explain clinical heterogeneity across Lewy body diseases.medRxiv : the preprint server for health sciences · 2026Article
- Data-driven subtyping of Parkinson's disease using MRI: current insights, challenges, and future directions.Frontiers in aging neuroscience · 2026Review
- Design of a deep learning prediction model for Alzheimer's and Parkinson's Disease using MRI images.Frontiers in artificial intelligence · 2026Article
- Cortical gyrification deficits in early-stage Parkinson's disease: the importance of bradykinesia.Brain communications · 2026Article
- Visuospatial dysfunction indicates an increased risk of rapid dementia conversion in Parkinson's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Novel applications of machine learning and computational neuroscience models to neuroimaging in Parkinson's disease and related disorders.Frontiers in aging neuroscience · 2026Review
- Causal Effects Between Neurodegenerative Diseases, Metabolites, and Brain Volume.Current Alzheimer research · 2026Article
- Balancing practicality and complexity in neuroimaging models of Parkinson's disease progression.NPJ Parkinson's disease · 2025Article
- Distinct cortical morphometric inverse divergence changes in Parkinson's disease correlate with transcriptional expression patterns.NeuroImage. Clinical · 2025Article
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Authors and funding
45 authors.
Zeena ShawaUCL Hawkes Institute and Department of Medical Physics and Biomedical Engineering, University College London, London WC1E 6BT, United Kingdom.ORCID https://orcid.org/0000-0003-4490-2391
Cameron ShandUCL Hawkes Institute and Department of Computer Science, University College London, London WC1E 6BT, United Kingdom.
Beatrice TaylorUCL Hawkes Institute and Department of Computer Science, University College London, London WC1E 6BT, United Kingdom.ORCID https://orcid.org/0000-0002-3630-5047
Henk W BerendseDepartment of Neurology, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Neurodegeneration, 1081 Amsterdam, The Netherlands.
Chris VriendDepartment of Psychiatry, Amsterdam UMC, Vrije Universiteit Amsterdam, 1081 Amsterdam, The Netherlands.
Tim D van BalkomDepartment of Psychiatry, Amsterdam UMC, Vrije Universiteit Amsterdam, 1081 Amsterdam, The Netherlands.
Odile A van den HeuvelDepartment of Psychiatry, Amsterdam UMC, Vrije Universiteit Amsterdam, 1081 Amsterdam, The Netherlands.
Ysbrand D van der WerfDepartment of Anatomy & Neurosciences, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Compulsivity Impulsivity & Attention, 1081 Amsterdam, The Netherlands.
Jiun-Jie WangDepartment of Medical Imaging and Radiological Sciences, Chang Gung University, Taoyuan 33302, Taiwan.ORCID https://orcid.org/0000-0002-2422-9059
Chih-Chien TsaiHealthy Aging Research Center, Chang Gung University, Taoyuan 33302, Taiwan.
Jason DruzgalDepartment of Radiology and Medical Imaging, University of Virginia, Charlottesville, VA 22903, USA.
Benjamin T NewmanDepartment of Radiology and Medical Imaging, University of Virginia, Charlottesville, VA 22903, USA.ORCID https://orcid.org/0000-0002-0668-2853
Tracy R MelzerDepartment of Medicine, University of Otago, Christchurch 8011, New Zealand.
Toni L PitcherDepartment of Medicine, University of Otago, Christchurch 8011, New Zealand.
John C Dalrymple-AlfordDepartment of Medicine, University of Otago, Christchurch 8011, New Zealand.
Tim J AndersonDepartment of Medicine, University of Otago, Christchurch 8011, New Zealand.
Gaëtan GarrauxMoVeRe Group, CRC Human Imaging, GIGA Interdisciplinary Biomedical Research Institute, University of Liege, 4000 Liege, Belgium.
Mario RangoNeurology Unit, Excellence Interdepartmental Center for Advanced Magnetic Resonance Techniques, Fondazione Ca' Granda, IRCCS, Policlinico, University of Studies of Milano, Milano 20122, Italy.
Petra SchwingenschuhDepartment of Neurology, Medical University of Graz, 8036 Graz, Austria.
Melanie SuetteDepartment of Neurology, Medical University of Graz, 8036 Graz, Austria.
Laura M ParkesDivision of Psychology, Communication and Human Neuroscience, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PL, UK.ORCID https://orcid.org/0000-0001-6488-507X
Sarah Al-BachariDepartment of Clinical and Movement Neurosciences, UCL, London WC1E 6BT, UK.
Johannes KleinNuffield Department of Clinical Neurosciences (NDCN), University of Oxford, Oxford OX3 9DU, UK.ORCID https://orcid.org/0000-0002-8553-2801
Michele T M HuNuffield Department of Clinical Neurosciences (NDCN), University of Oxford, Oxford OX3 9DU, UK.ORCID https://orcid.org/0000-0001-6382-5841
Corey T McMillanDepartment of Neurology, University of Pennsylvania, Philadelphia, PA 19104, United States.
Fabrizio PirasLaboratory of Neuropsychiatry, Department of Clinical Neuroscience and Neurorehabilitation, Santa Lucia Foundation IRCCS, 00179 Rome, Italy.
Daniela VecchioLaboratory of Neuropsychiatry, Department of Clinical Neuroscience and Neurorehabilitation, Santa Lucia Foundation IRCCS, 00179 Rome, Italy.
Clelia PellicanoLaboratory of Neuropsychiatry, Department of Clinical Neuroscience and Neurorehabilitation, Santa Lucia Foundation IRCCS, 00179 Rome, Italy.
Chengcheng ZhangRuijin Hospital, Shanghai Jiaotong University School of Medicine, Clinical Neuroscience Center, Shanghai 200031, China.ORCID https://orcid.org/0000-0003-4472-4134
Kathleen L PostonDepartment of Neurology & Neurological Sciences, Stanford University, Stanford, Palo Alto, CA 94304, USA.
Elnaz GhasemiDepartment of Neurology & Neurological Sciences, Stanford University, Stanford, Palo Alto, CA 94304, USA.
Fernando CendesDepartment of Neurology, University of Campinas-UNICAMP, Campinas 13083-872, Brazil.
Clarissa L YasudaDepartment of Neurology, University of Campinas-UNICAMP, Campinas 13083-872, Brazil.
Duygu TosunDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94143, USA.ORCID https://orcid.org/0000-0001-8644-7724
Philip MosleyQIMR Berghofer Medical Research Institute, Herston, QLD 4006, Australia.
Paul M ThompsonImaging Genetics Center, Mark and Mary Stevens Institute for Neuroimaging & Informatics, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA.
Neda JahanshadLaboratory of Brain eScience, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, Department of Biomedical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA 90292, USA.
Conor Owens-WaltonImaging Genetics Center, Mark and Mary Stevens Institute for Neuroimaging & Informatics, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA.
Emile d'AngremontDepartment of Anatomy & Neurosciences, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Neurodegeneration, 1081 Amsterdam, The Netherlands.
Eva M van HeeseDepartment of Anatomy & Neurosciences, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Neurodegeneration, 1081 Amsterdam, The Netherlands.
Max A LaansmaDepartment of Anatomy & Neurosciences, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Neurodegeneration, 1081 Amsterdam, The Netherlands.ORCID https://orcid.org/0000-0002-8216-6690
Andre AltmannUCL Hawkes Institute and Department of Medical Physics and Biomedical Engineering, University College London, London WC1E 6BT, United Kingdom.ORCID https://orcid.org/0000-0002-9265-2393
ENIGMA Parkinson’s Disease Working Group
Rimona S WeilDementia Research Centre, Department of Neurodegeneration, UCL Queen Square Institute of Neurology, University College London, London W1T 7NF, United Kingdom.ORCID https://orcid.org/0000-0002-5092-6325
Neil P OxtobyUCL Hawkes Institute and Department of Computer Science, University College London, London WC1E 6BT, United Kingdom.ORCID https://orcid.org/0000-0003-0203-3909
Funding
Stanford Alzheimer's Disease Research CenterAdmin Supp: Developing iPSC models for AD and PDP30AG066515 · NIA · STANFORD UNIVERSITY · PI ELIZABETH MORMINO · 2020 to 2026
$29.0MUdall Center Director's meeting poster awardP50NS062684 · NINDS · UNIVERSITY OF WASHINGTON · PI MONTINE, THOMAS J · 2009 to 2020
$18.3MProject IV: In Vivo Dissection of Genetic Modifiers on Different Stages of SynucleinopathyP01AG084497 · NIA · UNIVERSITY OF PENNSYLVANIA · PI ALICE S CHEN-PLOTKIN · 2024 to 2026
$15.2MThe impact of early Tau pathology on cognitive progression and neuropsychiatric symptoms in Parkinson's diseaseR01NS115114 · NINDS · STANFORD UNIVERSITY · PI ANDREASSON, KATRIN I., POSTON, KATHLEEN LOMBARD · 2019 to 2023
$4.2MENIGMA World Aging CenterR01AG058854 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMPSON, PAUL M · 2021 to 2025
$3.3MENIGMA Parkinson’s Initiative: A Global Initiative for Parkinson’s DiseaseR01NS107513 · NINDS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI POSTON, KATHLEEN LOMBARD, THOMPSON, PAUL M · 2021 to 2025
$3.2MHigh resolution mapping of the genetic risk for disease in the aging brainR01AG059874 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI JAHANSHAD, NEDA · 2018 to 2022
$3.1MWorldwide Tractometry Initiative to Investigate Brain Microstructure, Cognitive Impairment & Dementia in Parkinsons DiseaseRF1NS136995 · NINDS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI JAHANSHAD, NEDA, THOMPSON, PAUL M · 2024 to 2024
$2.2MCausal and Event Based Modeling of Brain Alterations in ADRDR01AG087513 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Neda Jahanshad · 2025 to 2026
$1.2MNIA NIH HHS P01 AG084497NIA NIH HHS P30 AG066515NIA NIH HHS R01 AG058854NIA NIH HHS R01 AG059874NIA NIH HHS R01 AG087513NINDS NIH HHS P50 NS062684NINDS NIH HHS R01 NS107513NINDS NIH HHS R01 NS115114NINDS NIH HHS RF1 NS136995Wellcome Trust
Abstract
Parkinson's disease is the second most common neurodegenerative disease. Despite this, there are no robust biomarkers to predict progression, and understanding of disease mechanisms is limited. We used the Subtype and Stage Inference algorithm to characterize Parkinson's disease heterogeneity in terms of spatiotemporal subtypes of macroscopic atrophy detectable on T1-weighted MRI-a successful approach used in other neurodegenerative diseases. We trained the model on covariate-adjusted cortical thicknesses and subcortical volumes from the largest known T1-weighted MRI dataset in Parkinson's disease, Enhancing Neuroimaging through Meta-Analysis consortium Parkinson's Disease dataset (
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clusteringdisease progression modellingENIGMA-PDneurodegenerationPPMI
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