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  IMAGE-D: Integrated Multimodal Analysis for Gaining Enhanced Understanding and Characterization of Dementia


   Department of Clinical Neurosciences

   Tuesday, December 03, 2024  Competition Funded PhD Project (Students Worldwide)

About the Project

Dementia encompasses various subtypes such as Alzheimer's disease, vascular dementia, and frontotemporal dementia, each affecting different aspect of brain structure and function. While various imaging techniques like structural MRI, functional MRI, PET scans, and DTI exist to capture these differences, their limited combined use hampers a thorough understanding of dementia subtypes, potentially missing valuable insights into underlying brain changes and individual variations. By leveraging a multimodal approach in interdisciplinary setting and utilizing existing imaging datasets, such as cohorts linked to Dementia Platform UK, the project seeks to distinguish between different dementia types, track disease progression, and enhance our knowledge of their unique characteristics. The developed methodology will also allow for the integration of imaging data with other biological or clinical information, such as genetics, biochemical markers, or neuropsychological assessments, enabling exploration of the relationships between brain changes, molecular pathology, and clinical symptoms. This project offers an opportunity to contribute to dementia research and develop expertise in multimodal imaging, advanced statistics (both data-driven AI modelling and hypothesis-driven path analysis) and data integration.

Biological Sciences (4) Medicine (26)

Funding Notes

Gates US applications close mid October 24, (interviews mid November) date to be updated on this website; View Website 

Cambridge Trust, Gates Cambridge - deadline 3rd December 24 to be eligible for funding. If you apply after the funding deadlines you will not be eligible for the Cambridge Funding competition. Please indicate in your application all the funding you are eligible for.

*Applications open on 4th September 2024 for the next academic year, so please go to the application portal when you are ready to apply and submit your application (including the

supervisor's name you are interested in working with). Application portal link;  View Website 


References

Liu, X., Tyler, L. K.,
Cam-Can, Rowe, J.B., & Tsvetanov, K. A. (2022). Multimodal fusion analysis
of functional, cerebrovascular and structural neuroimaging in healthy aging
subjects. Human Brain Mapping. https://doi.org/10.1002/HBM.26025
Liu, X., Tyler, L. K.,
Cam-CAN, Davis, S. W., Rowe, J. B., & Tsvetanov, K. A. (2023). Cognition’s
dependence on functional network integrity with age is conditional on
structural network integrity. Neurobiology of Aging, 129, 195–208.
https://doi.org/10.1016/J.NEUROBIOLAGING.2023.06.001
Passamonti, L.*,
Tsvetanov, K. A.*, Jones, P. S., Bevan-Jones, W. R., Arnold, R., Borchert, R.
J., Mak, E., Su, L., O’Brien, J. T., & Rowe, J. B. (2019).
Neuroinflammation and functional connectivity in Alzheimer’s disease:
interactive influences on cognitive performance. The Journal of Neuroscience,
39(36), 2518–2574. https://doi.org/10.1523/jneurosci.2574-18.2019
Tsvetanov, K. A., Gazzina, S., Jones, S. P., Swieten, J. van, Borroni, B., Sanchez-Valle, R., Moreno, F., Laforce, R., Graff, C., Synofzik, M., Galimberti, D., Masellis, M., Tartaglia, M. C., Finger, E., Vandenberghe, R., Mendonça, A. de, Tagliavini, F., Santana, I., Ducharme, S., … (GENFI), T. G. F. T. D. I. (2020). Brain functional network integrity sustains cognitive function despite atrophy in presymptomatic genetic frontotemporal dementia. Alzheimer’s & Dementia.
https://doi.org/10.1002/alz.12209

Register your interest for this project