Our research aims at improving cognitive wellbeing in an aging population. With the world's population aging at an unprecedented rate, it is now crucial (i) to understand fundamental mechanisms of cognitive aging under naturalistic conditions, (ii) to establish novel clinical assessment tools, and (iii) to develop interventions that help maintain people’s independence. To achieve these ambitious goals, we employ a unique combination of cutting-edge neuroscience and behavioural methods.
Please read our Research page for more information.
The Aging & Cognition Research Group hosts a variety of state-of-the-art virtual reality facilities to study cognition under realistic conditions. This includes 3D head mounted displays, motion tracking systems, large-scale projection screens and interactive treadmills. In addition, the lab has access to numerous research dedicated neuroscientific facilities, allowing us to do ultra-high field neuroimaging studies and to monitor neural processes when humans physically move around.
Please read our Facilities page for more information.
Stangl, M.*, Shine, J.*, & Wolbers, T. (2017). The GridCAT: A toolbox for automated analysis of human grid cell codes in fMRI. Frontiers in Neuroinformatics, 11:47. [link]
Berron, D.*, Vieweg, P.*, Hochkeppler, A., Pluta, J.B., Ding, S.-L., Maass, A., Luther, A., Xie, L., Das, S., Wolk, D.A., Wolbers, T., Yushkevich, P.A.*, Düzel, E.*, & Wisse, L.E.M.* (2017). A protocol for manual segmentation of medial temporal lobe subregions in 7 Tesla MRI. NeuroImage: Clinical. [link]
Please find a full list of our articles on our Publications page.
Our research is funded by the European Research Council (ERC), the Human Frontiers Science Program (HFSP), the German Ministry of Education and Research (BMBF) and the Helmholtz Association.