Alzheimer's disease heterogeneity revealed by neuroanatomical normative modeling

Article Properties
  • Language
    English
  • DOI (url)
    10.1002/dad2.12559
  • Publication Date
    2024/01/01
  • Journal
    Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring
  • Indian UGC (journal)
  • Refrences
    44
  • Flavia Loreto Department of Brain Sciences Faculty of Medicine Imperial College London London UK
  • Serena Verdi Centre for Medical Image Computing Medical Physics and Biomedical Engineering University College London London UKDementia Research Centre UCL Queen Square Institute of Neurology London UK
  • Seyed Mostafa Kia Donders Centre for Cognitive Neuroimaging Donders Institute for Brain Cognition and Behaviour Radboud University Nijmegen The NetherlandsDepartment of Cognitive Neuroscience Radboud University Medical Centre Nijmegen The NetherlandsDepartment of Psychiatry Utrecht University Medical Center Utrecht The Netherlands
  • Aleksandar Duvnjak Department of Brain Sciences Faculty of Medicine Imperial College London London UK
  • Haneen Hakeem Department of Brain Sciences Faculty of Medicine Imperial College London London UK
  • Anna Fitzgerald Department of Brain Sciences Faculty of Medicine Imperial College London London UK
  • Neva Patel Department of Nuclear Medicine Imperial College Healthcare NHS Trust London UK
  • Johan Lilja Hermes Medical Solutions Stockholm Sweden
  • Zarni Win Department of Nuclear Medicine Imperial College Healthcare NHS Trust London UK
  • Richard Perry Department of Brain Sciences Faculty of Medicine Imperial College London London UKDepartment of Neurology Imperial College Healthcare NHS Trust London UK
  • Andre F. Marquand Donders Centre for Cognitive Neuroimaging Donders Institute for Brain Cognition and Behaviour Radboud University Nijmegen The NetherlandsDepartment of Cognitive Neuroscience Radboud University Medical Centre Nijmegen The Netherlands
  • James H. Cole Centre for Medical Image Computing Medical Physics and Biomedical Engineering University College London London UKDementia Research Centre UCL Queen Square Institute of Neurology London UK
  • Paresh Malhotra Department of Brain Sciences Faculty of Medicine Imperial College London London UKDepartment of Neurology Imperial College Healthcare NHS Trust London UKUK Dementia Research Institute Care Research and Technology Centre Imperial College London and the University of Surrey London UK
Abstract
Cite
Loreto, Flavia, et al. “Alzheimer’s Disease Heterogeneity Revealed by Neuroanatomical Normative Modeling”. Alzheimer’s & Dementia: Diagnosis, Assessment &Amp; Disease Monitoring, vol. 16, no. 1, 2024, https://doi.org/10.1002/dad2.12559.
Loreto, F., Verdi, S., Kia, S. M., Duvnjak, A., Hakeem, H., Fitzgerald, A., Patel, N., Lilja, J., Win, Z., Perry, R., Marquand, A. F., Cole, J. H., & Malhotra, P. (2024). Alzheimer’s disease heterogeneity revealed by neuroanatomical normative modeling. Alzheimer’s & Dementia: Diagnosis, Assessment &Amp; Disease Monitoring, 16(1). https://doi.org/10.1002/dad2.12559
Loreto, Flavia, Serena Verdi, Seyed Mostafa Kia, Aleksandar Duvnjak, Haneen Hakeem, Anna Fitzgerald, Neva Patel, et al. “Alzheimer’s Disease Heterogeneity Revealed by Neuroanatomical Normative Modeling”. Alzheimer’s & Dementia: Diagnosis, Assessment &Amp; Disease Monitoring 16, no. 1 (2024). https://doi.org/10.1002/dad2.12559.
Loreto F, Verdi S, Kia SM, Duvnjak A, Hakeem H, Fitzgerald A, et al. Alzheimer’s disease heterogeneity revealed by neuroanatomical normative modeling. Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring. 2024;16(1).
Journal Categories
Medicine
Internal medicine
Neurosciences
Biological psychiatry
Neuropsychiatry
Medicine
Internal medicine
Neurosciences
Biological psychiatry
Neuropsychiatry
Neurology
Diseases of the nervous system
Medicine
Internal medicine
Special situations and conditions
Geriatrics
Refrences
Title Journal Journal Categories Citations Publication Date
Asymmetrical atrophy of thalamic subnuclei in Alzheimer's disease and amyloid‐positive mild cognitive impairment is associated with key clinical features 2019
10.1101/2023.06.15.23291418
10.1212/WNL.0000000000207298
10.1007/978-3-030-59728-3_68
10.1101/2023.08.01.23293480