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Keywords

  • Structural MRI
  • Diffusion MRI
  • Clinical Conditions

  • Dementia
  • Alzheimer's disease
  • Frontotemporal dementia
  • Progressive supranuclear palsy
  • Lewy body dementia
  • Vascular dementia
  • Equipment & Techniques

  • Magnetic resonance imaging (MRI)
  • Computational modelling
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    Tatjana Schmidt

    (she/her/hers)
    University Position
    PhD student

    Interests

    I am a second-year PhD student working on the QMIN-MC study (Quantitative MRI in NHS Memory Clinics), analyzing neuroimaging data from memory clinic patients at Addenbrooke's Hospital and other UK sites. My main interest lies in mathematical and biophysical modelling of structural and diffusion MRI data in order to detect changes in brain structure that are relevant to neurodegeneration and to examine the underlying pathophysiology. I'm also working on a transdiagnostic framework in order to classify patients with neurodegenerative disorders based on an ontology of clinical features. We aim at translating our findings to memory clinics in order to provide advanced MRI protocols and diagnostic procedures for patients.

    Key Publications

    Estimating demand for potential disease-modifying therapies for Alzheimer's disease in the UK

    DOI: https://doi.org/10.1192/bjp.2023.166
    Journal: The British Journal of Psychiatry
    Year: 2024
    Authors: Axel A. S. Laurell, Ashwin V. Venkataraman , Tatjana Schmidt , Marcella Montagnese , Christoph Mueller, Robert Stewart, Jonathan Lewis , Clare Mundell , Jeremy D. Isaacs, Mani S. Krishnan , Robert Barber, Timothy Rittman, Benjamin R. Underwood

    Publications