Project Details
Description
In the first two funding periods, we found evidence for increased activity of action selection networks in patients with genetically undefined parkinsonism, Parkin- and PINK1-associated parkinsonism, L-dopa-responsive dystonia, and X-linked dystonia parkinsonism. We now focus on network-related processes leading to disease manifestation by comparing asymptomatic mutation carriers with symptomatic patients with Parkin- and PINK1-associated parkinsonism, X-linked dystonia parkinsonism, and GBA-associated parkinsonism. To this end, we will use behavioral tasks, EEG, TMS, pupillometry, and neuromelanin-sensitive high-resolution MRI.
| Status | finished |
|---|---|
| Effective start/end date | 01.01.11 → 31.12.23 |
Collaborative partners
- University of Hamburg (Spokesperson`s Research Institution) (lead)
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being
Funding Institution
- DFG: German Research Association
Research Areas and Centers
- Research Area: Medical Genetics
DFG Research Classification Scheme
- 2.23-07 Clinical Neurology, Neurosurgery and Neuroradiology
ASJC Subject Areas
- Cellular and Molecular Neuroscience
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Research Output
- 2 Journal articles
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Comparing the performance of beamformer algorithms in estimating orientations of neural sources
Buschermöhle, Y., Höltershinken, M. B., Erdbrügger, T., Radecke, J.-O., Sprenger, A., Schneider, T. R., Lencer, R., Gross, J. & Wolters, C. H., 15.03.2024, In: iScience. 27, 3, p. 109150 109150.Research output: Journal Articles › Journal articles › Research › peer-review
6 Link opens in a new tab Citations (Scopus)