Due to the heterogeneous nature of neurodegenerative diseases such as Alzheimer’s disease (AD), Parkinson's disease (PD), and dementia with Lewy bodies (DLB), non-invasive imaging biomarkers are continously in development to contribute to better diagnosis, prognosis and treatment strategies. The aim of the proposed project is to define the pathological sensitivity of (advanced) MRI outcome measures, as biomarkers for (differential) cognitive decline in AD, PD and DLB.
Over the past few years we have set up a unique collection of post-mortem neuroimaging data in combination with brain tissue, to answer the following objectives:
- To ascertain which advanced neuroimaging modalities is most sensitive to specific neuropathological disease states, as defined by the distribution and burden of proteinopathy.
- To address heterogeneity with pathology-defined neuroimaging patterns.
- To explore if artificial intelligence can be used to gain a higher sensitivity and specificity for defining pathology-confirmed subtypes.
By integrating multisource data (clinical, radiological, histopathological), the project will result in new fundamental knowledge leading to improved interpretation of imaging datasets, relevant for the clinical setting.
We are looking for an enthusiastic, skilled and creative postdoctoral researcher with experience in neuroimaging in neurodegenrative duseases. You will be part of a young, multidisciplinary team.
As a postdoc your main duties and responsibilities are:
- Setting up and conducting the research;
- Collecting postmortem MRI scans;
- Performing MRI data analysis and developing pipelines;
- Strengthen current (inter)national colloborations;
- Writing scientific articles based on the results of your research;
- Making scripts publicly available through our GitHub site;
- Bringing your own ideas for follow-up studies, including applying for grants;
- Supervising students and some teaching duties.